机器学习系统，网络系统
ML systems, networked systems

基因组生物信息学、基因组数据分析、软件开发、高性能计算（HPC）、转录组学、精准医学
Genomic bioinformatics, Genome data analysis, Software development, High-performance computing (HPC), Transcriptomics, Precision medicine

人工智能、深度学习、多智能体强化学习、分布式无人机群控制、组网、定位、环境感知
Artificial Intelligence, Deep Learning, Multi-Agent Reinforcement Learning, Distributed Drone Swarm Control, Networking, Localization, Environmental Perception

机器学习系统（例如，LLM系统），传统系统（例如，网络系统，操作系统，分布式系统），系统安全
Machine Learning Systems (e.g., LLM systems), traditional systems (e.g., networked systems, OS, distributed systems), system security

机器学习，深度学习算法，模型压缩和加速，实时和节能深度学习与人工智能系统，计算机架构和异构计算（移动/GPU），移动计算，神经形态计算
Machine Learning, Deep Learning Algorithm, Model Compression and Acceleration, Real-time and Energy-efficient Deep Learning and Artificial Intelligence Systems, Computer Architecture and Heterogeneous Computing (Mobile/GPUs), Mobile Computing, Neuromorphic Computing

任务关键型的工业互联网和信息物理系统应用，Real-time industrial 5G，时序网络，无线传感器-执行器网络，自动驾驶系统
Mission-critical Cyber-Physical Systems, Real-time industrial 5G, Time-Sensitive Networking, Wireless Sensor-Actuator Networks, Autonomous Driving Systems

智能健康的机器学习，遥感的机器学习，联邦学习，自监督学习，边缘云计算，集成感知和通信，计算机视觉，语义通信，图学习，压缩感知，人工智能与遥感，人工智能与无线通信，人工智能与智能健康
Machine Learning for Smart Health, Machine Learning for Remote Sensing, Federated Learning, Self-supervised Learning, Edge-cloud computing, Integrated Sensing and Communication, Computer Vision, Semantic Communication, Graph Learning, Compressive Sensing, AI & Remote Sensing, AI & Wireless Communications, AI & Smart Health

程序和二进制分析，系统安全，形式验证
Program & binary analysis, system security, formal verification

拓扑数据分析（TDA）应用于计算机科学、机器学习、数据分析和可视化等领域
Topological Data Analysis (TDA) applied to computer science, machine learning, data analysis, and visualization

研究方向包括强化学习（RL）和多臂老虎机，联邦化/去中心化学习（用于基础模型），具有人类反馈的RL以及与大型语言模型（LLMs）对齐，以及下一代网络系统中的资源管理/优化（例如，无线网络，边缘/云计算系统等）
Research areas include reinforcement learning (RL) and multi-armed bandits, federated/decentralized learning (for foundation models), RL with human feedback and alignment with Large Language Models (LLMs), and resource management/optimization in Next-generation networked systems (e.g., wireless networks, edge/cloud computing systems, etc)

雷达信号处理，天线阵列处理，自动驾驶雷达机器学习，多模态传感器融合 (汽车雷达，激光雷达，摄像头)
Radar Signal Processing, Antenna Array Processing, Radar Machine Learning for Autonomous Driving, Multi-modal Sensor Fusion (Automotive radar, LiDAR, Camera)

多模态人工智能、自动驾驶、可信和高效机器学习等
Multimodal AI: Text-to-Image Generative Models, Image Editing, Finetuning/Personization, Image Restoration, Vision-Language Models, Image Quality Assessment, Video Quality Assessment; Autonomous Driving: Cooperative Perception, Driving Automation, Autonomous Driving Benchmark, 3DV in Driving Scenes, End2End Autonomous Driving System; Trustworthy and Efficient ML: Explainable AI, Fairness, Privacy-Preserving, Robustness, Copyright, Watermarking, Efficient MLSys, Efficient GenAI, Model Compression, Sparsity, Efficient Model Architecture

深度学习/机器学习算法，整合图像数据和组学数据（尤其是空间转录组和单细胞转录组），器官发育和病理学，基于foundation model（如ChatGPT，LLaMA）的算法开发与建模，对单/多模态生物数据的理解，细胞分化的动态定量模型构建。
Deep learning/machine learning algorithms, integration of imaging data and omics data (especially spatial transcriptomics and single-cell transcriptomics), organ development and pathology, algorithm development and modeling based on foundation models (such as ChatGPT, LLaMA), understanding of single/multi-modal biological data, construction of dynamic quantitative models of cell differentiation.

三维网站开发，对three.js, Babylon.js, react 3 fiber感兴趣
Three-dimensional website development with interests in three.js, Babylon.js, react 3 fiber

医学图像、机器学习、人工智能、算法、优化、计算神经科学
Medical Imaging, Machine Learning, Artificial Intelligence, Algorithms, Optimization, Computational Neuroscience

电力系统规划、智能电网安全、电力系统中的机器学习、电动车在电网中的应用
Power system planning, Smart grid security, Machine learning in power systems, Applications of electric vehicles in the grid

1. 机器学习方法(如神经网络)的安全性验证 2. 神经网络压缩方法的评价与改进 3. 数据驱动的建模与控制 4. LLM在控制系统中的应用 5. 各类与机器学习以及自动控制相关的研究
1. Security verification of machine learning methods (such as neural networks) 2. Evaluation and improvement of neural network compression methods 3. Data-driven modeling and control 4. Application of LLM in control systems 5. Research related to machine learning and automatic control

相机、无线电和激光雷达成像、三维场景完成和构建，信号和系统方面的深度学习应用
Deep learning applications in camera, radio, and lidar imaging, 3D scene completion and construction, signal and system

机器学习理论及应用 (统计学习理论和深度学习), 算法及组合优化, 社交网络分析
Machine Learning Theory and Applications (statistical learning theory and deep learning), Algorithms and Combinatorial Optimization, Social Network Analysis

量子计算，量子机器学习，电力系统，数据驱动优化建筑和城市能源系统实现脱碳，环境质量和控制
Quantum Computing, Quantum Machine Learning, Electricity Systems, Data-Driven Optimization of Building and Urban Energy Systems for Decarbonization, Environmental Quality and Control

增强型语言模型中的工具/流程/任务的自动化，增强型语言模型中的决策/推理的可靠性，可扩展/高效/安全的增强型语言模型系统，生成式AI中的数据优化/增强/选择，生成式AI中的算法-硬件协同设计
Tool/Chain/Task Automation in ALM, Decision/Reasoning Reliability in ALM, Scalable/Efficient/Safe ALM Systems, Data Optim/Augment/Select for Generative AI, Algo-Hardware Co-design for Generative AI

不确定性量化、科学机器学习、风险与可靠性评估、灵敏度分析、贝叶斯推断、数据同化和模型验证应用于防灾减灾（地震、台风、火灾）、复合材料、航空航天、计算力学
Uncertainty Quantification, Scientific Machine Learning, Risk and Reliability Assessment, Sensitivity Analysis, Bayesian Inference, Data Assimilation, Model Verification applied in Disaster Prevention and Mitigation (earthquakes, typhoons, fires), Composite Materials, Aerospace, Computational Mechanics

计算机安全（程序分析、漏洞检测、恶意软件和网络攻击）和高性能计算（设计并行、分布式和GPU系统加速图神经网络和图算法）
Computer Security (program analysis, vulnerability detection, malware, and network attacks) and High-Performance Computing (design parallel, distributed, and GPU-accelerated systems for graph neural networks and graph algorithms)

多模态基础模型, 大型语言模型, 视觉-语言基础模型, 视觉-语言-动作基础模型, 计划、推理、组合性, 机械解释性, 知识+大型语言模型, 真实性、忠实性、可信度, 自然语言处理, 人工智能, 具身人工智能
Multimodal Foundation Models, Large Language Models, Vision-Language Foundation Models, Vision-Language-Action Foundation Models, Planning, Reasoning, Compositionality, Mechanistic Interpretability, Knowledge + LLMs, Factuality, Faithfulness, Trustworthiness, NLP, AI, Embodied AI

高性能计算，血液动力学性质模拟，流固耦合，多尺度多物理场模拟，基于物理方程的机器学习
High performance computing, Simulation of hemodynamic properties, Fluid-structure interaction, Multiscale multiphysics simulations, Physics-based machine learning

人工智能、多Agent系统、经济计算机科学（在人工智能和经济学接口的问题）
AI, Multi-agent Systems, EconCS (problems at the interface of AI and economics)

应用计算流体动力学控制SARS-CoV-2带载气溶胶的空气传播，开发人工智能辅助模型评估雾化器，开发动脉栓塞形成模型
Applying computational fluid dynamics to control airborne transmission of SARS-CoV-2 laden aerosols, developing AI-empowered surrogate models for evaluating inhalers, developing models to understand embolism formation in arteries

强化学习、机器学习、鲁棒学习与推理、统计信号处理
Reinforcement learning, machine learning, robust learning and inference, statistical signal processing

生成式人工智能，扩散模型，生成式对抗网络，LLMS，多模态学习，人工智能中的公平性，算法公平性，公平性验证，缺失数据，不平衡数据，跨学科应用于生物医学，神经科学，智能医疗，信息物理系统
Generative Artificial Intelligence, Diffusion models, Generative Adversarial Networks, LLMS, Multimodal Learning, Fairness in Artificial Intelligence, Algorithmic Fairness, Fairness Verification, Missing Data, Imbalanced Data, Interdisciplinary Applications in Biomedical, Neuroscience, Intelligent Healthcare, Information Physical Systems

控制与建模：先进的基于模型/无模型的控制策略和多体动力学。基于物理学的仿真：利用计算机图形学、计算机视觉等基于物理原理的高保真仿真。人工智能与机器学习：在机器人领域进行强化学习、模仿学习、表征学习。
Control & Modeling: Advanced model-based/model-free control strategies and multibody dynamics. Physics-Based Simulation: High-fidelity simulations grounded in physical principles using computer graphics, computer vision etc. AI & Machine Learning: Reinforcement learning, imitation learning, representation learning in robotics.

深度学习，移动健康，可穿戴感测，语音和音频处理
Deep Learning, Mobile Health, Wearable Sensing, Speech and Audio Processing

强化学习，具身智能
Reinforcement Learning, Embodied AI

数字现实捕捉，建筑能源建模，智能建筑与传感
Digital Reality Capture, Building Energy Modeling, Smart Building & Sensing

人工智能、网络安全、分布式系统、云原生
AI, Cybersecurity, Distributed System, Cloud Natives

人工智能安全，可信人工智能，传感器安全，自动驾驶，物联网
AI Safety & Security, Trustworthy AI, Sensor Security, Autonomous Driving, Internet of Things

机器学习系统; 移动传感和移动计算; 物联网; 大型语言模型; 自主系统
Machine Learning Systems; Mobile Sensing and Mobile Computing; Internet of Things; Large Language Model; Autonomous Systems

数据驱动优化，随机/鲁棒优化，人工智能，不确定性决策，在智慧城市运营，能源市场，自主移动和供应链方面的应用
Data-driven optimization, stochastic/robust optimization, artificial intelligence, decision-making under uncertainty with applications in smart city operations, energy market, autonomous mobility, and supply chain

机械一体化、传感与驱动机器人学、动力学、建模与控制、人机交互、机器学习应用于机器人、将物理学与机器学习相结合以增强机器人平台的控制质量和可靠性，减小物理系统与机器学习之间的差距
Integrated mechatronics, sensor and actuator robotics, dynamics, modeling and control, human-machine interaction, machine learning applied to robotics, blending physics with machine learning to enhance control quality and reliability of robot platforms, reducing the gap between physical systems and machine learning.

鲁棒机器学习，可解释机器学习，数据密集型科学机器学习，基于拓扑结构的鲁棒优化，测试时间适应性，基于原理的优化，可解释机器学习，多模态学习，缺失模态学习，视觉语言基础模型，扩散模型
Robust Machine Learning, Explainable Machine Learning, Data-intensive Scientific Machine Learning, Topology-informed Robust Optimization, Test-time Adaptation, Rationale-informed Optimization, Interpretable Machine Learning, Multimodal Learning, Missing Modality Learning, Vision-Language Foundation Models, Diffusion Models

计算机视觉（例如，注册，分割，分类，检测，合成，成像），多模态数据分析的机器学习（例如，图像，文本，组学），值得信赖和稳健的医疗人工智能（例如，可解释性，泛化性），数据高效的机器学习（例如，高效标注，半监督学习）
Computer Vision (e.g., registration, segmentation, classification, detection, synthesis, imaging), Machine Learning for Multi-Modal Data Analysis (e.g., image, text, omics), Trustworthy and Robust AI for Healthcare (e.g., explainability, generalizability), Data Efficient Machine Learning (e.g., efficient annotation, semi-supervised learning)

软物质创新在医疗保健和能源领域的应用
Soft matter innovation for healthcare and energy

机器人控制
Robot control

边缘智能、分布式图学习、AI计算系统与应用、无线网络与安全、网络安全、量子网络与计算
Edge Intelligence, Distributed Graph Learning, AI Computing Systems and Applications, Wireless Network and Security, Network Security, Quantum Network and Computing

探索/学习/实现：探索新型深度学习架构 (效率和可伸缩性)、高效大模型训练、推理、微调和部署、深度学习网络的科学理解
Exploring/new deep learning architectures (efficiency and scalability), efficient large model training, inference, fine-tuning, and deployment, scientific understanding of deep learning networks

电子封测，封装可靠性评估，智能制造
Electronic Packaging and Testing, Packaging Reliability Assessment, Intelligent Manufacturing

高性能计算，资源管理和调度，性能建模和仿真，容错性，能源效率，并行和分布式系统，集群管理，互连网络，功耗和能效，计算机系统中的人工智能应用
High-performance computing (HPC), resource management and scheduling, performance modeling and simulation, fault tolerance, energy efficiency, parallel and distributed systems, cluster management, interconnection networking, power and energy efficiency, AI applications in computer systems

智能网络安全，系统安全，网络安全人工智能，可信人工智能
Network Security, System Security, AI for Cybersecurity, Trustworthy AI

高性能计算、深度学习系统、并行分布式系统、系统性能模型化
High-performance computing, deep learning systems, parallel and distributed systems, system performance modeling

人工智能/机器学习 (AI/ML)，生物信息学和计算生物学 (包括单细胞分析、多组学分析、空间转录组、癌症研究、智能健康和精准医疗)
Artificial Intelligence/Machine Learning (AI/ML), Bioinformatics and Computational Biology (including single cell analysis, multi-omics analysis, spatial transcriptomics, cancer research, intelligent healthcare, and precision medicine)

深度学习，深度学习的数学基础，深度学习理论，深度学习中的优化
Deep Learning, Mathematical Foundation of Deep Learning, Deep Learning theory, Optimization in Deep Learning

安全与隐私、区块链、边缘计算、联邦学习
Security and Privacy, Blockchain, Edge Computing, Federated Learning

研究方向包括AI驱动的药物发现，小分子/蛋白质的全新设计及优化，分子识别，计算生物学，AI4Science等
Research areas include AI-driven drug discovery, novel design and optimization of small molecules/proteins, molecular recognition, computational biology, AI4Science, etc.

大数据，架构，高性能计算 (HPC)，人工智能 (AI) 系统，机器学习 (ML) 系统
Big Data, Architecture, High Performance Computing (HPC), Artificial Intelligence (AI) Systems, Machine Learning (ML) Systems

智能物联网系统、安全
Intelligent Internet of Things systems, security

AI应用于5G及更先进技术，物联网，网络安全，边缘计算
AI for 5G and beyond, Internet of Things (IoT), network security, and edge computing

边缘智能（例如，设备上的机器学习和物联网），可信人工智能（例如，安全性、隐私性和公平性）
Edge Intelligence (e.g., on-device machine learning and Internet of things), Trustworthy AI (e.g., security, privacy, and fairness)

生物医学光学成像仪器、视网膜成像、超广视场眼底摄影、功能性光学相干断层扫描（OCT）、OCT血管造影（OCTA）、超分辨率眼底镜、视网膜图像分析和分类
Biomedical Optical Instrumentation, Retinal Imaging, Ultra-wide field fundus photography, Functional Optical Coherence Tomography (OCT), OCT Angiography (OCTA), Super-resolution ophthalmoscopy, Retinal image analysis and classification

无老师线网络、感知、智慧农业、LoRa网络、农业数据分析
Wireless networking, sensing, smart agriculture, LoRa networks, agricultural data analytics

荧光材料合成、光学性质表征、分析和机理研究、荧光成像、金属有机框架（MOFs）、共价有机框架（COFs）、有机合成、LC-MS/MS仪器分析、全氟/多氟烷基化合物（PFAS）相关研究。
Fluorescent materials synthesis, optical properties characterization, analysis and mechanism studies, fluorescent imaging, Metal-Organic Frameworks (MOFs), Covalent Organic Frameworks (COFs), organic synthesis, LC-MS/MS instrumentation analysis, per- and polyfluoroalkyl substances (PFAS) related research.

研究涵盖了广泛的网络安全挑战，包括程序分析，漏洞检测，风险评估，物联网/移动安全，网络犯罪，威胁情报，系统安全，物联网安全和移动安全。
The research encompasses a broad spectrum of cybersecurity challenges, including program analysis, vulnerability detection, risk assessment, IoT/mobile security, cybercrime, threat intelligence, system security, IoT Security, and mobile security.

计算机安全，数据库安全，人工智能系统安全，隐私保护计算系统架构
Computer security, database security, AI system security, privacy-preserving computing system architecture

微流体（芯片实验室，器官芯片，声波流体学），声学（表面声波、体声波、医学超声），生物力学（生物医学器械，单细胞生物物理学）
Microfluidics (Lab on a Chip, Organ on a Chip, Acoustofluidics), Acoustics (Surface Acoustic Waves, Bulk Acoustic Waves, Medical Ultrasound), Biomechanics (Biomedical Devices, Single Cell Biophysics)

自适应控制、迭代学习控制、非线性系统与控制、基于视觉的控制、地面车辆/四旋翼飞行器、多智能体/互联/网络/网络控制系统
Adaptive control, Iterative learning control, Nonlinear systems and control, Vision-based control, Ground vehicles/Quadrotors, Multiagent/interconnected/networked/cyber-physical systems

知识图谱, 多模态, LLM
Knowledge Graph, Multi-modal, LLM

AI/ML安全、机器学习安全与隐私、虚假信息/深度伪造测量与检测、Memes
AI/ML safety, Machine learning security and privacy, Disinformation/deepfake measurement and detection, Memes

大规模网络物理系统的实时数据驱动控制和优化，机器人网络，人工智能/机器学习，动态规划，机器人技术，连接和自主车辆，人机交互
Real-time data-driven control and optimization of large-scale cyber-physical systems, network of robots, AI/machine learning, dynamic programming, robotics, connected and autonomous vehicles, human-robot interaction

深度神经网络和基础模型的值得信赖的模型压缩、可解释性、公平性和隐私性等理论和应用机器学习问题
Theoretical and applied machine learning problems focusing on trustworthy model compression, interpretability, fairness, and privacy for deep neural networks and foundation models

1. 解决随机决策和优化问题中的认知不确定性，通常源自训练数据不足。 2. 应用随机效用函数理论研究市场中消费者的购买偏好。研究集中在提升决策优化和机器学习的鲁棒性。
1. Addressing cognitive uncertainty in stochastic decision-making and optimization problems, typically arising from insufficient training data. 2. Applying stochastic utility function theory to study consumer purchasing preferences in the market. Research is focused on enhancing decision optimization and machine learning robustness.

医学成像（Covid胸透，皮肤癌，乳腺癌，前列腺癌），机器人视觉，小型高效ML模型和训练，嵌入式设备，饮食分析/食品计算，运动分析，遥感，机器人学，SLAM，异常检测，基础设施监测，制造机器健康，强化学习，交通路口分析，昆虫分类，显著性目标分割，视频目标分割
Medical imaging (Covid chest x-ray, skin cancer, breast cancer, prostate cancer), Robotic vision, Small and efficient ML models and training, Embedded device, Dietary analysis/food computing, Sports analytics, Remote sensing, Robotics, SLAM, Anomaly Detection, Infrastructure Monitoring, Manufacturing Machine Health, Reinforcement Learning, Traffic intersection analysis, Insects classification, Saliency object segmentation, Video object segmentation

以数据为中心的人工智能、安全和隐私的人工智能、移动传感和物联网数据管理
Data-centric artificial intelligence, Security and privacy in artificial intelligence, Mobile sensing and IoT data management

无线网络，移动计算
Wireless Networks, Mobile Computing

自动驾驶、机器学习、深度学习、概率推理
Autonomous driving, machine learning, deep learning, probabilistic reasoning

医疗人工智能，图像分析系统，医学影像的计算机辅助分析，用于检测、诊断和预后的计算工具，高性能计算基础设施，医学图像分析
Medical AI, image analysis systems, computer-assisted analysis of medical images, computational tools for detection, diagnosis, and prognosis, high performance computational infrastructures, medical image analysis

控制优化、电力系统规划与运行、建筑家庭能源管理、智能电网的大数据分析和机器学习、电动车能源管理
Control Optimization, Power System Planning and Operation, Residential Energy Management, Big Data Analysis and Machine Learning in Smart Grids, Energy Management of Electric Vehicles

机器人设计与控制，农业与自主系统的人工智能
Robot Design and Control, Artificial Intelligence in Agriculture and Autonomous Systems

数据挖掘，机器学习，优化，复杂多模态数据（例如时空数据，文本数据，图像数据，图数据），可解释和交互式人工智能，高性能机器学习
Data mining, machine learning, optimization, complex multi-modal data (e.g., spatiotemporal, textual, imagery, graph data), interpretable and interactive AI, high-performance machine learning

操作系统和网络，构建用于高性能计算的网络软件/硬件基础设施，包括AI加速器
OS & Networking, Building network software/hardware infrastructure for high-performance computing, including AI accelerator

语义通信，无线区块链，边缘智能，元宇宙
Semantic Communications, Wireless Blockchain, Edge Intelligence, Metaverse

基于多物理场的先进制造、设计、测量工艺设计
Multi-physics-based development of advanced manufacturing, design, and measurement processes

人工智能，数据科学，人工智能数学研究，深度学习，大数据系统，边缘计算
Artificial Intelligence, Data Science, Mathematical Studies on AI, Deep Learning, Big Data System, Edge Computing

研究方向包括但不限于无线感知，通信感知一体化，无线安全，跨协议通信和感知。
Research areas include but not limited to wireless sensing, communication-aware computing, wireless security, cross-protocol communication and sensing.

多功能石墨烯-金属复合材料和结构的增材制造，用于电子和电化学应用的二维材料的可扩展纳米制造，电子器件和能源相关器件的增材制造的喷墨印刷
Additive manufacturing of multifunctional graphene-metal composites and structures, scalable nanomanufacturing of 2D materials for electronic and electrochemical applications, inkjet printing for additive manufacturing of electronic devices and energy-related devices

开发小分子荧光探针和单分子荧光成像技术。博士后要求：具有荧光探针有机合成、荧光光谱学、共聚焦显微镜成像、细胞染色等相关背景。博士生要求：化学或高分子等相关专业背景。同时，单分子超分辨成像、光学平台搭建、图像处理、机器学习等。博士生要求：生物物理或生物医学工程专业背景。
Development of small molecule fluorescent probes and single molecule fluorescence imaging techniques. For postdocs: background in organic synthesis of fluorescent probes, fluorescence spectroscopy, confocal microscopy imaging, cell staining, etc. For PhD students: background in chemistry or polymer science. Also, single-molecule super-resolution imaging, optical platform construction, image processing, machine learning. For PhD students: background in biophysics or biomedical engineering.

环境工程、生物技术、合成生物学、塑料降解、废物转化利用、生物传感、分子生物学技术、蛋白工程、系统生物学、机器学习、人工智能
Environmental Engineering, Biotechnology, Synthetic biology, Plastic degradation, Waste-to-value biotransformation, Biosensing, Molecular biology techniques, Protein engineering, Systems biology, Machine learning, AI

优化算法，机器学习，医疗应用
Optimization, Machine Learning, Healthcare Applications

Reinforcement Learning, Bandits, Information Retrieval, Agents

机器学习加速计算、多灾种风险与韧性评估、AI辅助设计、维护、决策应用于大型结构与基础设施的计算模拟与设计决策
Machine learning accelerated computing, Multi-hazard risk and resilience assessment, AI-assisted design, maintenance, decision-making for large structures and infrastructure

研究方向：知识提取和概括、可信大型语言模型、多语言机器理解、视觉-语言模型
Research areas: Knowledge Extraction and Generalization, Trustworthy Large Language Models, Multilingual Machine Understanding, Vision-Language Models

研究方向包括移动机器人、自主系统、传感器融合、SLAM、状态估计、机器人探索
Research areas include mobile robotics, autonomous systems, sensor fusion, SLAM, state estimation, robot exploration

电力电子
Power Electronics

电力电子
Power Electronics

机器学习，自动驾驶，深度学习，概率推理
Machine Learning, Autonomous Driving, Deep Learning, Probabilistic Reasoning

图学习, 科学人工智能, 语言模型, 可信人工智能
Graph Learning, AI for Science, LLMs, Trustworthy AI

AI系统、无服务器计算、高性能计算、联邦学习、人工智能安全
AI System, Serverless Computing, High-Performance Computing, Federated Learning, AI Security

数据挖掘、强化学习、大语言模型
Data Mining, Reinforcement Learning, Large Language Models

AGI (人工通用智能) 在移动设备上的优化, 实时机器学习, 针对机器学习系统的并行计算和编译器优化
AGI (artificial general intelligence) on Mobile Devices, Real-time Machine Learning, Parallel Computing and Compiler Optimizations for Machine Learning Systems

人工智能安全、机器学习
AI Safety, Machine Learning

高性能计算，数据压缩，科学领域人工智能
High Performance Computing, Data Compression, Artificial Intelligence for Science

动力学、控制、优化、人工智能、数据驱动建模、大规模网络动态系统、不确定性、空中交通控制/管理、无人机交通管理、自主空中/地面车辆系统、计算最优控制、随机优化、深度学习、分布式控制/计算、安全自主系统
Dynamics, Control, Optimization, Artificial Intelligence, Data-driven modeling, Large-scale networked dynamical systems, Uncertainty, Air traffic control/management, UAS traffic management, Autonomous air/ground vehicle systems, Computational optimal control, Stochastic optimization, Deep learning, Distributed control/computing, Safe Autonomous Systems

可信机器智能, 计算机视觉/机器学习, 多模态学习, 生物医学人工智能
Trustworthy Machine Intelligence, Computer Vision/Machine Learning, Multi-Modal Learning, Biomedical AI

以数据为中心的人工智能、因果关联人工智能和时空数据挖掘
Data-Centric AI, Causality AI, Spatial-Temporal Data Mining

具有小分子和/或超分子合成经验，最好也具有电催化经验
Expertise in either molecular/supramolecular synthesis or electrocatalysis

Responsible and Reliable AI, Causal ML, Data Mining, LLMs

机器视觉算法的开发与应用、人工智能在图像处理和识别中的应用、高精度仪器开发与优化
Machine vision algorithm development and application, application of artificial intelligence in image processing and recognition, high-precision instrument development and optimization

下一代无线通信、感知、定位及通感一体化技术、智能反射面通信、毫米波/太赫兹通信、AI赋能通信与组网
Next-generation wireless communication, sensing, positioning and integrated sensing technology, intelligent reconfigurable surface communication, millimeter wave/terahertz communication, AI-enabled communication and networking

组成数据分析、贝叶斯统计、变量选择、微生物分析、癌症和阿兹海默症
Compositional data analysis, Bayesian statistics, Variable selection, Microbiome analysis, Cancer and Alzheimer's disease

生物电子，利用仿生材料开发新型生物电子传感器
Bioelectronics, utilizing biomimetic materials to develop novel bioelectronic sensors

砌体结构，混凝土砌块墙，实验研究，有限元分析
Masonry structures, concrete block walls, experimental research, finite element analysis

创业学
Entrepreneurship

计算机科学
Computer Science

AI for social impact, differentiable optimization, online learning, multi-agent systems, public health

电力电子、电磁干扰（EMI）、硬件安全
Power Electronics, Electromagnetic Interference (EMI), Hardware Security

医学影像处理/分析，机器学习，神经科学
Medical Image Processing/Analysis, Machine Learning, Neuroscience

人工智能，空间组学，生物医学成像，癌症诊疗学，计算生物学，生物信息学，生物医学数据科学，生物医学工程，计算机科学，电气工程，统计学，数学，物理学，机器学习，生物医学成像，计算机视觉，单细胞分析技术，组织透明化，光片显微镜，免疫学，癌症系统生物学。
Artificial Intelligence, Spatial Omics, Biomedical Imaging, Cancer Theragnostics, Computational Biology, Bioinformatics, Biomedical Data Science, Biomedical Engineering, Computer Science, Electrical Engineering, Statistics, Mathematics, Physics, Machine Learning, Biomedical Imaging, Computer Vision, Single-cell Profiling Technologies, Tissue Clearing, Light-sheet Microscope, Immunology, Cancer Systems Biology.

计算智能、深度学习、AutoML、进化计算、学习、优化、自动化ML/DL算法和系统
Computational Intelligence, Deep Learning, AutoML, Evolutionary Computation, Learning, Optimization, Automated ML/DL algorithms and systems

1. 骨改建，牙槽骨重塑，牙颌畸形的修复与矫治相关基础研究。2. 颅颌面组织器官缺损修复与再生相关基础研究。3. 口腔疾病相关临床转化研究及应用。4. 同时欢迎交叉方向/背景的同学加入给实验室带来新的思想和技术。
1. Bone remodeling, alveolar bone reshaping, restoration and correction of maxillofacial deformities. 2. Basic research on repair and regeneration of craniomaxillofacial tissue organ defects. 3. Clinical translational research and applications related to oral diseases. 4. Cross-disciplinary students with new ideas and techniques are welcomed to join the lab.

1. 输电、配电和微电网中可再生能源建模和控制。 2. 电力系统建模、仿真、运行和控制的科学计算和软件工程。 3. 用于电力系统运行、稳定性和控制的机器学习。
1. Renewable energy modeling and control in transmission, distribution, and microgrids. 2. Scientific computing and software engineering for power systems modeling, simulation, operation, and control. 3. Machine learning for power system operation, stability, and control.

人类中心应用、AIoT和可穿戴安全、移动计算、人机交互以及利用可穿戴设备和AIoT进行医疗创新的前沿研究。
Cutting-edge research in human-centered applications, AIoT and wearable security, mobile computing, human-computer interaction, and healthcare innovations using wearables and AIoT.

人口动态与基础设施系统之间的耦合 - 交通电气化及对社区和企业韧性的影响 - 交通与人类流动网络的结构与功能动态 - 高效公平的多模式移动系统（带真实世界试点） - 交通/物流问题的基于学习的模型和算法
- The coupling between population dynamics and infrastructure systems - Transportation electrification and the impacts on community and business resilience - Structure and functional dynamics of transportation and human mobility networks - Efficient and equitable multi-modal mobility systems (with real-world pilots) - Learning-based models and algorithms for transportation/logistic problems

基因组生物信息学、基因组数据分析、软件开发、高性能计算、代谢组学、ME/CFS
Genomic bioinformatics, Genome data analysis, Software development, HPC, Metabolomics, ME/CFS

基础模型、可信AI、形式验证
Foundation Models, Trustworthy AI, Formal Verification

1) 生物工程方法对抗慢性疾病，如肥胖和其他代谢性疾病。2) 包括靶向药物递送和检测皮肤疾病、癌症等生物标志物的先进疗法技术。3) 开发数字分子分析技术，以提高诊断实践。4) 用于可穿戴或可植入生物医学应用的柔性器件。5) 纳米材料及其在生物传感、成像、疗法、催化等方面的应用。
1) Bioengineering approaches to combat chronic diseases such as obesity and other metabolic diseases. 2) Advanced theranostic technologies including targeted drug delivery and detection of biomarkers for skin disorders, cancers, etc. 3) Developing digital molecular analytical technologies for improved diagnosis practices. 4) Flexible devices for wearable or implantable biomedical applications. 5) Nanomaterials and their applications in biosensing, imaging, therapy, catalysis.

人工智能理论, AI for Science, 人工智能安全，自然语言处理，大数据处理
Theoretical Artificial Intelligence, AI for Science, AI Security, Natural Language Processing, Big Data Processing

可编程交换机（P4）启用的网络安全，零信任架构，网络威胁保护
Programmable switch (P4)-enabled network security, zero-trust architecture, cyber threat protection

并行图网络数据挖掘系统, GPU上的图挖掘, 数据挖掘
Parallel and Distributed Graph Mining, Graph Mining on GPUs, Data Mining

物联网安全与隐私，社交媒体网络安全，数据科学
Internet of Things (IoT) security and privacy, Social media network security, Data science

计算机视觉/多媒体, 文本生成动作, 音频生成, 人-场景交互, 动物/人类动作生成, 视频生成, 视频理解, 视觉关系理解, 文本处理
CV/MM, text2motion, audio generation, human-scene interaction, animal/human motion generation, video generation, video understanding, visual relation understanding, text processing

移动计算、可穿戴设备、物联网、环境智能、机器学习、传感器融合、计算感知、嵌入式系统、网络物理系统、无线通信、边缘计算、分布式系统、网络系统
Mobile Computing, Wearable Devices, Internet of Things (IoT), Ambient Intelligence, Machine Learning, Sensor Fusion, Computational Sensing, Embedded Systems, Cyber-physical Systems, Wireless Communication, Edge Computing, Distributed Systems, Network Systems

1. 陶瓷或复合材料加工和表征, 2. 机电系统开发和控制, 3. 制造工艺建模仿真
1. Ceramic or composite materials processing and characterization, 2. Mechatronic system development and control, 3. Manufacturing process modeling and simulation

虚拟现实、人机协作、增材制造、机器学习、控制、机器视觉
Robotics research applications in virtual reality, human-robot cooperation, additive manufacturing, machine learning, control, machine vision

生物信息学，计算生物学，统计学，机器学习，宏基因组学，转录组学，医疗人工智能
Bioinformatics, Computational Biology, Statistics, Machine Learning, Metagenomics, Transcriptomics, AI for Health

虚拟现实（VR）和混合现实（MR）中的人机交互（HCI）
Human-Computer Interaction (HCI) in Virtual Reality (VR) and Mixed Reality (MR)

开发先进的计算方法，用于创建高保真、快速运行的患者心脏和心血管医疗设备的数字孪生体。该项目还旨在通过软件/网络基础设施平台向公众提供这些方法。
Developing advanced computational methods for creating high-fidelity, fast-running digital twins of patient hearts and cardiovascular medical devices. The project also aims to make the methods publicly available through a software/cyberinfrastructure platform.

光学成像、生物医学光学、光学相干断层扫描（OCT）、光学相干弹性成像（OCE）、拉曼光谱成像
Optical imaging, biomedical optics, optical coherence tomography (OCT), optical coherence elastography (OCE), Raman spectroscopy imaging

机器学习、统计建模、医疗数据分析、工业工程
Machine Learning, Statistical Modeling, Healthcare Data Analysis, Industrial Engineering

产品设计，交互设计，可穿戴产品，定制化设计，参数化设计，3D扫描技术应用，通用设计，健康、医疗、和人体相关的产品，服务，与体验
Product design, Interaction design, Wearable products, Customized design, Parametric design, Application of 3D scanning technology, Universal design, Health, medical, and human-related products, services, and experiences

科学机器学习，科学人工智能（尤其是PDE），生成式人工智能/物理系统科学基础模型
Scientific machine learning, AI for science (especially PDE), Generative AI/Scientific Foundation Models for physical systems

分布式系统，并行系统，机器学习系统支持，高性能计算，异构内存系统管理
Distributed Systems, Parallel Systems, Machine Learning System Support, High-Performance Computing, Heterogeneous Memory System Management

高性能计算，机器学习，深度学习，MLSYS，针对加速器的自动调优，大规模语言模型的性能优化
High Performance Computing, Machine Learning, Deep Learning, MLSYS, automatic tuning for accelerators, performance optimization of large-scale language models

生物医学图像分析
Biomedical Image Analysis

海底大地测量、空间地球观测、沿海和极地海平面观测
Seafloor geodesy, space geodetic observations, coastal and polar sea level observations

建筑中的先进材料和技术，以提高能源效率、韧性和舒适度；数据驱动的建筑性能分析；建筑表皮的先进材料研究；以人为本的室内环境质量研究
Advanced materials and technologies for improving energy efficiency, resilience, and comfort in buildings, data-driven building performance analysis, advanced materials for building envelopes, human-centered indoor environmental quality research

负责任人工智能, 公平性, 可解释性/可解释性, 隐私, 可靠的人工智能, 不确定性量化, 鲁棒性, 因果机器学习, 良好的人工智能, 数据挖掘, 机器学习, 社会责任AI
Responsible AI, Fairness, Interpretability/Explainability, Privacy, Reliable AI, Uncertainty Quantification, Robustness, Causal Machine Learning, AI for Good, Data Mining, Machine Learning, Socially Responsible AI

生物医学图像分析
Biomedical image analysis

1. 氧化物薄膜功能材料外延生长。2. 纳米级半导体微电子器件的制备(有超净间工作经验优先考虑)。3. 透射电镜(TEM)探究结构-性能关联，原位TEM技术。
1. Epitaxial growth of oxide thin film functional materials. 2. Preparation of nanoscale semiconductor microelectronic devices (experience in cleanrooms is preferred). 3. Investigation of structure-property relationships using transmission electron microscopy (TEM), in-situ TEM techniques.

网络、云计算、系统
Networking, Cloud Computing, Systems

智能无线网络、无线光通信、数字孪生、软件定义网络、无人机网络、卫星网络
Intelligent Wireless Networks, Wireless Optical Communication, Digital Twin, Software-defined Networks, UAV Networks, Satellite Networks

机器学习安全与隐私
Machine Learning, specifically in Machine Learning Security and Privacy

研究方向包括农业和食品副产品的增值利用，纳米纤维素、纳米封装、纳米乳化、生物基材料、3D打印、传感器开发、检测、食品保质期增强，理化性质和营养特性。
Research areas include value-added use of agricultural and food byproducts, nanocellulose, nanoencapsulation, nanoemulsion, biobased materials, 3D printing, sensor development, detection, food shelf life enhancement, physicochemical and nutritional characterization.

科学机器学习（SciML）、数据同化、不确定性量化、开发新颖的数据驱动建模和仿真技术、为工程应用构建数字孪生体（例如，自主系统、可再生能源系统、先进制造业）
Scientific Machine Learning (SciML), Data Assimilation, Uncertainty Quantification, developing novel data-driven modeling and simulation techniques, building digital twins for engineering applications (e.g., autonomous systems, renewable energy systems, advanced manufacturing)

数据驱动的智能医疗保健，基于物理信息的机器学习建模复杂物理系统
Data-Driven Smart Healthcare, Physics-Informed Machine Learning for Modeling Complex Physics Systems

单细胞蛋白组学、系统生物医学、蛋白质互作网络
Single-cell phosphoproteomics, Systems biomedicine, Protein-protein interaction networks

声流控技术，物理学，工程学，生物工程，纳米技术，化学，生物医学科学
Acoustofluidics, Physics, Engineering, Bioengineering, Nanotechnology, Chemistry, Biomedical Sciences

节能计算机系统、GPU数据中心、移动计算、实时嵌入式系统、能源效率、可持续人工智能
Power-aware computer systems, GPU data center, mobile computing, real-time embedded systems, energy efficiency, sustainable AI

自动驾驶、机器学习、计算机视觉
Autonomous Driving, Machine Learning, Computer Vision

人工智能/系统/网络安全，专注于智能系统中的安全问题，如自动驾驶/无人机/机器人系统、智能交通系统、智能家居系统等
AI/Systems/Network Security, focusing on security issues in intelligent systems like autonomous driving/unmanned aerial vehicles/robot systems, intelligent transportation systems, smart home systems

Human-Computer Interaction, Augmented Reality, Virtual Reality, Human-AI Interaction

半导体器件、新型存储器、计算（具体包括铁电场效应晶体管、3D DRAM、薄膜晶体管等）
Semiconductor devices, Novel memory, Computing (specifically in ferroelectric FET, 3D DRAM, thin-film transistor, etc.)

动态激光整形控制，应用于先进制造，光学探测，激光直写，增材制造，光学，声学，力学，材料的跨学科交叉点，声光器件的实验和理论分析
Dynamic laser shaping control, application in advanced manufacturing, optical detection, laser direct writing, additive manufacturing, interdisciplinary intersection of optics, acoustics, mechanics, materials, experimental and theoretical analysis of acoustics and mechanics

深度学习, 机器学习, 医学图像处理, 放射组学, 磁共振物理和序列, 医学数据采集、自动化处理、大数据分析等等。
Deep Learning, Machine Learning, Medical Image Processing, Radiomics, MRI Physics and Sequences, Medical Data Acquisition, Automated Processing, Big Data Analysis, etc.

计算机视觉，机器学习，深度模型压缩，自动驾驶视觉
Computer Vision, Machine Learning, Deep Model Compression, Autonomous Driving Vision

自主和电动车辆应用的优化解决方案，动态系统建模、控制、状态估计和优化
Optimization solutions in autonomous and electric vehicle applications, Dynamic system modeling, control, state estimation, and optimization

无线通信、统计信号处理、具有统计学习的生物医学信号处理
Wireless Communications, Statistical Signal Processing, Biomedical Signal Processing with Statistical Learning

• Human-centered AI and AI for Social Good. • Trustworthy AI, XAI, and Generative AI. • Multimodal Large Language Model (MLLM), Misinformation Detection and Explanation, Recommender Systems. • Crowdsourcing and Crowdsensing, Human-AI Collective Intelligence. • Federated Learning, Edge Computing, Internet of Things (IoT). • Privacy, Robustness, and FATE (Fairness, Accountability, Transparency, Ethics).

数据挖掘、机器学习、自然语言处理、生物医学与健康信息学
Data Mining, Machine Learning, Natural Language Processing, Biomedical and Health Informatics

量子密钥分发、量子通信、量子纠错、抗量子密码学、量子计算
Quantum Key Distribution, Quantum Communication, Quantum Error Correction, Post-Quantum Cryptography, Quantum Computing

物联网（IoT）安全，人工智能（AI）安全应用，隐私保护，无线网络，区块链智能合约
Internet of Things (IoT) security, Artificial Intelligence (AI) security applications, Privacy protection, Wireless networks, Blockchain smart contracts

人工智能/机器学习、算法、统计学、机器学习、人工智能、计算机视觉、自然语言处理
AI/ML, algorithms, statistics, machine learning, artificial intelligence, computer vision, natural language processing

高熵二维材料高通量计算，高熵二维材料数据库开发，机器学习二维材料
High-entropy 2D materials high-throughput computing, high-entropy 2D materials database development, machine learning for 2D materials

制造工程，机器人与自动化，人工智能
Manufacturing engineering, robotics and automation, artificial intelligence

基于人工智能的移动网络系统安全，移动计算，安全云计算/服务
AI-driven mobile network and system security, mobile computing, secure cloud computing/services

应用人工智能于无线通信领域，无线物联网/移动系统及硬件设计，无线传感应用和安全，实验集成感知和通信
Applied AI for wireless, Wireless IoT/mobile systems and hardware design, Wireless sensing applications and security, Experimental integrated sensing and communication

计算机体系结构、操作系统、编译器、运行时、安全
Computer architectures, operating systems, compilers, runtimes, security

无线感知和定位, 多模态传感器系统用于智能体验, 基础模型/大语言模型 (LLM) 传感器, 可穿戴计算与应用, 移动网络 (5G/6G 通信, 测量), 物联网安全和隐私
Wireless sensing and localization, Multimodal sensor systems for embodied AI, Foundation model/large language model (LLM) for sensors, Wearable computing and application, Mobile network (5G/6G communication, measurement), IoT security and privacy

系统安全、IoT固件分析、可信计算
System Security, IoT Firmware Analysis, Trusted Computing

研究方向
Prof.

研究方向包括：1) 气候变化和极端天气下的电力系统可靠运行与恢复，2) 数字孪生，大语言模型，与人工智能在电力系统仿真运行的应用，3) 高比例可再生资源渗透下的配电系统运行优化控制。
Research areas include: 1) Power system operation and restoration under climate change and extreme weather conditions, 2) Applications of digital twins, large language models, and artificial intelligence in power system simulation and operation, 3) Optimization control of distribution system operation under high penetration of renewable resources.

3D视觉、3D光学传感、制造和再制造过程的原位监测、表面表征、机器人技术、农业机器视觉等
3D vision, 3D optical sensing, in-situ monitoring for manufacturing and remanufacturing processes, surface characterization, robotics, machine vision for agriculture

机器人学习、具身智能、视觉图形学、（多模态）机器人基础模型、可微分仿真、从仿真到现实以及从现实到仿真、3D视觉、图形学、常识与物理推理、强化学习、终身学习、机械设计、软体机器人、遥操作
Robot Learning, Embodied AI, Vision & Graphics, (Multimodal) Foundation models for Robotics, Differentiable Simulation, Sim2Real and Real2Sim, 3D Vision, Graphics, Commonsense and Physical Reasoning, Reinforcement Learning, Lifelong Learning, Mechanical Design, Soft Robotics, Teleoperation

可信人工智能、高效人工智能、机器学习、安全与隐私、边缘计算
Trustworthy AI, Efficient AI, machine learning, security & privacy, edge computing

数字与智能农业，重点关注近景和远景传感、光学传感器、机器人和自动化系统、物联网、人工智能和基于过程的模型。
Digital and Intelligent Agriculture, focusing on proximal and remote sensing, optical sensors, robotics and automation systems, Internet-of-Things, Artificial Intelligence, and process-based models.

人机交互（HRI），增强现实（AR），人工智能（AI），人机交互（HCI），机器人学
Human-Robot Interaction (HRI), Augmented Reality (AR), Artificial Intelligence (AI), Human-Computer Interaction (HCI), Robotics

研究项目集中在低空系统和经济研究中，针对各种场景中无人机和电动垂直起降飞行器（eVTOL）的电池需求分析。
Research project focusing on battery demand analysis for drones and electric vertical take-off and landing aircraft (eVTOL) in various scenarios within low altitude systems and economic research.

探索新型深度学习架构 (efficiency and scalability); 高效大模型训练，推理，微调，和部署 算法; 系统和硬件的协同设计; 科学的理解深度学习网络

固态陶瓷转变研究，微结构表征，先进电子显微镜技术，数值模拟
Study of solid state transformation of ceramics, microstructural characterization, advanced electron microscope techniques, numerical simulations

水文学，水资源，气候变化，水利工程，人工智能
Hydrology, Water resources, Climate change, Water engineering, Artificial intelligence

1. 高效的机器学习算法, 2. 用于AI加速的算法-系统协同设计（包括新兴的深度学习模型，如GNNs，LLMs，Diffusion 模型等），3. 用于芯片设计的大规模机器学习, 4. 高效的隐私保护机器学习
1. Efficient machine learning algorithm, 2. Algorithm-system co-design for AI acceleration (including emerging deep learning models, such as GNNs, LLMs, Diffusion models, etc.), 3. Large scale machine learning for chip design, 4. Energy efficient privacy preserving machine learning

机器学习：生成模型、概率模型、小样本学习、异常检测、OOD分析、自监督学习、图神经网络、大语言模型（LLM）等。数据科学：时间序列、数据流、图、自然语言，及相关的多模态模型。AI应用（AI for Science/Social Good）：生物医学、神经科学、智能医疗、信息物理系统、智能运维等。
Machine Learning: Generative Models, Probabilistic Models, Few-shot Learning, Anomaly Detection, OOD Analysis, Self-supervised Learning, Graph Neural Networks, Large Language Models (LLM). Data Science: Time Series, Data Streams, Graphs, Natural Language, and related multimodal models. AI Applications (AI for Science/Social Good): Biomedical Sciences, Neuroscience, Intelligent Healthcare, Information Physical Systems, Intelligent Operations, etc.

智能感知，移动计算，物联网安全和隐私，LFM/LLM for IoT
Smart Sensing, Mobile Computing, IoT Security and Privacy, LFM/LLM for IoT

信息系统与网络安全领域中的人工智能应用
AI applications in Information Systems and Cyber Security

聚合物、药物递送、纳米医学、有机化学、疼痛治疗、组织工程
Polymer, drug delivery, nanomedicine, organic chemistry, pain treatment, tissue engineering

结构/风工程，社区恢复力，机器学习
Structural/Wind Engineering, Community Resilience, Machine Learning

信息系统与网络安全中的人工智能应用
AI applications in Information Systems and Cyber Security

无线通信，应用于工业物联网或人工智能生成内容服务 Wireless Communications for Industrial IoT or AIGC Services

药物传递、蛋白药、肿瘤免疫
Drug Delivery, Protein Drugs, Tumor Immunology

多智能体控制系统，强化学习，博弈论，自动驾驶
Multi-agent control systems, Reinforcement learning, Game theory, Autonomous driving

量子信息、统计物理、网络科学
Quantum information, statistical physics, network science

1) 深度学习算法开发与应用，整合图像数据和组学数据，推动数据驱动的科学发现。2) 基于先进的LLM模型（如ChatGPT、LLaMA等）的大型语言模型算法开发与建模，提升对多模态医学数据的理解与应用。
1) Deep Learning algorithm development and application integrating image and omics data, driving data-driven scientific discoveries. 2) Large language model algorithm development and modeling based on advanced LLM models (such as ChatGPT, LLaMA, etc.) for enhancing understanding and application of multimodal medical data.

交通系统中的人工智能，网联自动驾驶技术，交通流理论与建模，智能城市基础设施系统
Artificial Intelligence in Transportation Systems, Connected Autonomous Vehicles (CAV) technology, Traffic flow theory and modeling, Smart city infrastructure systems

信息系统和网络安全中的人工智能应用
AI applications in Information Systems and Cyber Security

高通量植物表型分析，农作物生长监测与建模，传感器融合，三维图像数据处理，农业机器人
High throughput plant phenotyping, Crop growth monitoring and modeling, Sensor fusion, 3D imaging data processing, Agricultural robotics

自然语言处理和机器学习
Natural Language Processing (NLP) and Machine Learning

机器学习，数据挖掘，大语言模型。最近也在扩展一些人机交互和以人为本的人工智能（Human-Centered AI）的方向。 Machine learning, data mining, and their applications to foundation models (e.g., large language models, large vision models, large multimodal models), trustworthy AI (e.g., explainability, fairness, robustness, domain generalization, causal inference, uncertainty quantification, human-AI collaboration), computational medicine (e.g., predictive modeling, medical imaging, clinical NLP, real-world evidence, drug discovery & development).

他的研究领域包括医疗数据挖掘，多模态学习，人工智能安全，LLM和MLLM。研究主题包括LLM增强的多模态医疗数据挖掘和预训练，联邦学习，鲁棒的多模态大语言模型（MLLM）和自动化机器学习。
He works on healthcare data mining, multimodal learning, AI security, LLM, and MLLM. Research topics include LLM-enhanced multimodal healthcare data mining and pretraining, Federated Learning, Robust multimodal large language models (MLLM), and Automated machine learning.

以内存为中心的计算、可靠和健壮的集成电路设计、异质集成纳米系统、嵌入式人工智能的软硬件协同设计
Memory-Centric Computing, Reliable and Robust IC Design, Heterogeneous Integrated Nanosystems, SW/HW Co-Design for Embedded AI

计算物理、科学计算、空气动力学、流体力学、可压缩湍流
Computational physics, scientific computing, aerodynamics, fluid mechanics, compressible turbulence

高性能计算、计算机体系结构、机器学习硬件与系统、领域专用架构、硬件-软件系统设计、高效人工智能/机器学习硬件与系统
High-Performance Computing, Computer Architecture, ML Hardware & System, Domain-Specific Architectures, Hardware-Software System Design, Efficient AI/ML Hardware and Systems

Machine Learning, AI for Healthcare, Precision Medicine, Drug Discovery

数据库理论及其在数据库系统中的应用，包括数据库查询处理、高维计算几何、信息抽取、机器学习
Database theory and its applications in database systems, including database query processing, high-dimensional computational geometry, information extraction, machine learning

集成光学, 半导体激光器, 集成光学芯片
Integrated Optics, Semiconductor Lasers, Integrated Optical Chips

聚合物、药物递送、纳米医学、有机化学、疼痛治疗、组织工程
Polymer, drug delivery, nanomedicine, organic chemistry, pain treatment, tissue engineering

研究方向包括量子密钥分发中有限窃听信道容量分析，量子算法，量子纠错和硬件设计，以及量子传感。
Research areas include analysis of finite eavesdropping channel capacity for quantum key distribution, quantum algorithms, quantum error correction and hardware design, and quantum sensing.

强化学习、机器人、嵌入式
Reinforcement Learning, Robotics, Embedded Systems

开发新颖的光学成像技术以及心血管研究的计算方法，特别强调心脏结构和功能。跨学科平台包括基于光片/光场成像的采集、基于压缩感知的图像恢复和基于机器学习的图像解释。
Development of novel optical imaging techniques along with computational methods for cardiovascular study, with special emphasis on cardiac structure and function. Interdisciplinary platform includes light-sheet / light-field imaging-based acquisition, compressed-sensing based image recovery, and machine learning-based image interpretation.

电力系统、机器学习
Power systems, Machine Learning

LLM Agent, AI for social good, NLP for mental health, Question answering, conversational systems, knowledge-grounded NLP
LLM Agent, AI for social good, NLP for mental health, Question answering, conversational systems, knowledge-grounded NLP

神经精神疾病的分子机理，突触形成和调节，囊泡运输机制及其与疾病的关系。
Molecular mechanisms of neurological and psychiatric disorders, synaptic formation and regulation, vesicle transport mechanisms and their relationship to diseases.

网络安全信息学，深度学习，机器学习，大数据分析，区块链及应用，医疗人工智能，智能交通
Cybersecurity Informatics, Deep Learning, Machine Learning, Big Data Analytics, Blockchain and applications, AI in Health, Smart Transportation

电力电子、电机、智能电网安全、控制、数据分析
Power Electronics, Electric Machines, Smart Grid Security, Control, Data Analytics

控制与优化，电力与能源系统，机器学习，数据驱动的预测和决策算法设计
Control and optimization, power and energy systems, machine learning, data-driven prediction and decision algorithm design

Spatial-Temporal Data Science, Reinforcement Learning, Human-AI Interactions, Cyber-Physical Systems

核热工水力学、两相流和传热、空间应用中的低温流体、先进仪器设备研发
Nuclear thermal hydraulics, two-phase flow and heat transfer, cryogenic fluids in space application, and advanced instrumentation development

健康地理学、人类移动性和疾病传播、健康中的深度学习
Health geography, Human mobility and disease transmission, Deep learning in health

研究集中于部署技术，使日常环境更具包容性和共情力，利用人体感知、人工智能、机器人、扩展现实和数字孪生。研究项目包括心理生理监测、可信赖机器人、扩展现实应用、数字孪生和强化学习。
The research focus is on deploying technologies that make daily surroundings more inclusive and empathetic, utilizing human sensing, AI, robots, extended reality, and digital twins. Research projects include psychophysiological monitoring, trustable robots, extended reality applications, digital twins, and reinforcement learning.

软件安全和软件工程，系统安全。研究方法包括程序分析和测试，机器学习/深度学习，程序分析和机器学习的深度整合，实证分析和测量研究。
Software security and software engineering, systems security. Research methods include program analysis and testing, machine/deep learning, deep integration of program analysis and machine learning, empirical analysis and measurement studies.

隐私安全计算，数据库算法与理论，机器学习，围绕差分隐私、多方安全计算等技术，解决数据库与机器学习中的隐私安全问题。
Privacy-preserving computation, Database algorithms and theory, Machine learning, focusing on technologies like Differential Privacy, Secure Multiparty Computation to address privacy and security issues in databases and machine learning.

HCI for Health, AI/ML for Health, Human-AI Interaction

Trustworthy AI, ML security and privacy, LLM

医疗大数据科学、医疗大数据挖掘
Health Data Science, Medical Big Data Mining

人工智能 + 数据库，高维数据系统，向量数据库，信息检索，用于大型语言模型（LLM）的RAG，为AI应用设计特殊数据库架构，高维数据管理加速
AI + Database, high-dimensional data systems, vector database, information retrieval, RAG for large language model (LLM), special database architecture design for AI applications, high-dimensional data management acceleration

光电子器件、硅光子学、单光子探测、光互联、光计算
Photonics devices, Silicon photonics, Single photon detection, Optical interconnects, Optical computing

机器学习和数据科学理论，包括强化学习、因果推理、随机优化、蒙特卡洛采样、贝叶斯理论、深度学习泛化误差、差分隐私等
Machine Learning and Data Science Theory, including reinforcement learning, causal inference, stochastic optimization, Monte Carlo sampling, Bayesian theory, deep learning generalization error, differential privacy, and more

智能电网与可再生能源系统的建模估计、态势感知、机器学习、信息物理韧性
Research areas in intelligent power grids and renewable energy systems modeling and estimation, situational awareness, machine learning, cyber-physical resilience

计算机视觉、机器学习、深度学习和智能基础设施领域
Computer Vision, Machine Learning, Deep Learning, Intelligent Infrastructure

农业机器人技术、人工智能、智能农业，重点关注受控环境农业
Agricultural robotics, AI, Smart Agriculture with major focus on Controlled Environment Agriculture

边缘计算、5G、虚拟/增强/混合现实、自动驾驶、机器学习
Edge Computing, 5G, VR/AR/MR, Autonomous Driving, Machine Learning

数据可视化, 深度学习

NLP, AI Safety, LLM Agents, Causal Inference

可信AI算法认证，基于数据驱动的互动交通条件下连接和自动化车辆的节能控制
Certification for Trustworthy AI Algorithms, Data-driven energy-efficient control for connected and automated vehicles in interactive traffic conditions

力学性能，辐照损伤，材料表征，金属和陶瓷，3D打印，磁控溅射，微观力学测试
Mechanical performance, Irradiation damage, Material characterization, Metals & ceramics, 3D printing, Magnetron sputtering, Micromechanical testing

可持续聚合物能源、环境和脱碳，高分子和复合材料的合成和表征，清洁能源技术，碳捕获和转化。
Research areas include Sustainable Polymers for Energy, Environment & Decarbonization, polymer and composite material synthesis and characterization, clean energy technologies, carbon capture and conversion.

Neurosymbolic AI, Probabilistic ML, Trustworthy AI, AI for Science

机器人学，自主系统，仿生人工智能，优化算法，机器人导航，感知，控制，人机交互，应用人工智能，智能交通系统，仿生神经网络
Robotics, Autonomous Systems, Bio-inspired Artificial Intelligence, Optimization Algorithms, Robot Navigation, Perception, Control, Human-Robot Interaction, Applied Artificial Intelligence, Intelligent Transportation Systems, Bio-inspired Neural Networks

网络安全，计算机安全，嵌入式系统，物联网（IoT），连接和自主车辆，网络物理系统（CPS），云计算
Cyber Security, Computer Security, Embedded Systems, Internet of Things (IoT), Connected and Autonomous Vehicles, Cyber Physical Systems (CPS), Cloud Computing

1）自动驾驶的高效感知与决策，2）人机混合交通流建模，3）交通大数据分析与建模
1) Efficient Perception and Decision Making for Autonomous Driving, 2) Human-Machine Mixed Traffic Flow Modeling, 3) Traffic Big Data Analysis and Modeling

电力电子与智慧能源，专注于应用于电气化交通、微网、储能以及可再生能源的基于宽禁带器件的高性能电力电子变换器。
Power Electronics and Smart Energy, focusing on wide-bandgap device-based high-performance power electronic converters for electrified transportation, microgrids, energy storage, and renewable energy applications.

研究方向为多孔介质中微纳米尺度的流动，驱替，反应和水力压裂过程等机理
Study of mechanisms in flow, displacement, reaction, and hydraulic fracturing processes at the micro-nano scale in porous media

新型光学技术在癌症研究中的应用、癌症治疗机制、癌症代谢和代谢成像项目、器官型肿瘤模型
Development of novel optical techniques for cancer research, cancer therapeutics mechanisms, cancer metabolism and metabolic imaging program, organotypic tumor models

研究方向包括优化下一代无线和移动网络系统，机器学习应用（例如5G毫米波通信，可重构智能表面，车辆网络，协同感知等），下一代无线和移动网络的安全性分析与防御，信息物理系统的安全与隐私保护（例如联网/自动驾驶汽车、无人机、智能交通系统和电网），隐私保持的分布式数据共享/分析/发布，鲁棒和隐私保持的机器学习/联邦学习。
Research areas include optimization of next-generation wireless and mobile network systems, machine learning applications (e.g., 5G millimeter-wave communication, reconfigurable intelligent surfaces, vehicular networks, collaborative perception, etc.), security analysis and defense of next-generation wireless and mobile networks, security and privacy protection of cyber-physical systems (e.g., connected/autonomous vehicles, drones, intelligent transportation systems, and smart grids), distributed data sharing/analysis/release with privacy preservation, robust and privacy-preserving machine learning/federated learning.

Quantum Network; Quantum Computing

joint design of hardware and software for optical microscopy, sensing, and information processing (computational optics, optical instrumentation, machine learning, biomedical application)

计算显微成像, 图像科学, 交叉学科研究, 科学智能 (AI for Science)

HCI & Visualization: model explanation, uncertainty communication, decision-making, data and AI literacy, trust

Hardware acceleration for emerging applications, ASIC, FPGA

人工智能，数据挖掘，机器学习，时空数据挖掘，图神经网络，物理信息机器学习，可信AI，AI + X（地球科学，智能健康，精准农业，智慧城市等）
Artificial Intelligence, Data Mining, Machine Learning, Spatiotemporal data mining, Graph Neural Networks, Physics-informed machine learning, Trustworthy AI, AI + X (Earth sciences, intelligence health, precision agriculture, smart cities, etc.)

压力、种族/族裔、文化背景和社会不平等的交叉点; 影响青少年发展的社会文化和生物行为因素
Intersection of stress, race/ethnicity, cultural contexts, and social inequality; socio-cultural and bio-behavioral factors affecting adolescent development

关系图学习、大模型、生物医药等领域的交叉学科研究
Graph Neural Networks, Big Models, Cross-disciplinary research in fields like biomedicine

泛在智能计算, 信息物理系统安全, 意图驱动系统运营与管理, 物联网人工智能
Ubiquitous Intelligence, Cyber-Physical Security, Intent‑driven System Operation and Management, AIoT (Artificial Intelligence of Things)

主要研究计算机安全，具体研究方向有一定灵活性
Mainly in computer security with flexibility in specific research directions

AI与网络，生成式人工智能与网络优化，强化学习及其在计算机网络系统中的应用，AI支持的语义通信，以用户为中心的人工智能用于网络设计，网络与人工智能，大型人工智能模型的分布式训练与推断，下一代无线传输技术，边缘智能
AI for Network, Generative artificial intelligence and network optimization, Reinforcement learning and its applications in computer networking systems, AI-enabled semantic communications, Human-centric AI for user-centric network design, Network for AI, Distributed training and inference of large AI models, Next-generation wireless transmission technologies, Edge intelligence

计算机视觉、机器学习、数字医疗

人工智能、机器学习、数据挖掘、数据流、在线算法、实时决策系统、图形、拓扑数据挖掘、AI应用于科学领域（材料、分子、城市等）、不确定性量化、因果/贝叶斯推断、基于推理的系统、面向软件工程和编程语言的数据驱动模型
Artificial Intelligence, Machine Learning, Data Mining, Data streams, online algorithms, real-time decision-making systems, Graphs, topological data mining, AI4Science (materials, molecules, cities, etc.), Uncertainty quantification, causal/Bayesian inference, reasoning-based systems, Data-driven models for software engineering and programming languages

电机、电力电子、驱动控制
Electric Machines, Power Electronics, Drive Control

物联网安全；大语言模型和机器学习安全与隐私；软件安全
IoT Security; Large language model and Machine Learning security and privacy; Software Security

Cybersecurity, Applied Machine Learning, Mobile Healthcare, Mobile Sensing

地球化学, 环境化学, 有机化学
Geochemistry, Environmental Chemistry, Organic Chemistry

My research focuses on the societal aspects of machine learning and algorithmic decision-making. I aim to understand the societal implications of machine learning and develop learning systems that are aligned with social norms and reliable in dynamic environments. The research topics of my recent works are: (1) Trustworthy machine learning (e.g., fairness, privacy, security, robustness, interpretability); (2) Learning in uncertain and dynamic environment (e.g., strategic classification, out-of-distribution generalization); (3) Learning from distributed agents (e.g., federated learning)

硬件安全、人工智能（AI）、电子设计自动化（EDA）
Hardware security, artificial intelligence (AI), electronic design automation (EDA)

Efficient LLM, Understanding LLM, LLM Agents, Graph Foundation Models

外骨骼，仿生机器人，人机协作
Exoskeletons, Biorobotics, Human-Machine Collaboration

多模态/多视图大模型，生成式人工智能，序列/语言建模，科学/健康/社会公益领域的人工智能
Multi-modal/Multi-view large models, generative AI, sequence/language modeling, AI for Science/Health/Social Good

计算机视觉, 参数高效学习, 网络可解释性, AI+X
Computer Vision, Parameter-efficient Learning, Network Explainability, AI+X

可信人工智能，生成式人工智能，无线传感，物联网，智能健康，无线定位，无线网络，量子机器学习，物联网安全
Trustworthy AI, Generative AI, Wireless Sensing, Internet of Things, Smart Health, Wireless Localization, Wireless Networks, Quantum Machine Learning, IoT Security

软体机器人，智能制造，力学超材料
Soft Robotics, Intelligent Manufacturing, Mechanics of Metamaterials

My focus is on security and privacy issues, with the ultimate goal of developing generalized AI in system/software security to identify vulnerabilities, much like how Noam Brown created the first Poker AI. While I am not limited to blockchain, I find it particularly engaging due to its vast amount of open code and bytecode, transparent data from millions of users and bots, and real-world attacks involving billions of USD. Don't get tricked by the term "blockchain". My past research in blockchain security aligns closely with general system/software security, despite the specialized name.

Computer Vision, Uncertainty, 3D Vision, Person re-ID

知识图谱，推理，大语言模型，图神经网络
Knowledge Graph, Reasoning, Large Language Models, Graph Neural Networks

高性能计算、并行分布系统、大规模机器学习系统、数据压缩
High-performance computing (HPC), Parallel and distributed systems, Large-scale machine learning systems, Data compression

1. 高性能计算 (HPC) 2. 科学数据分析及管理 3. 数据压缩 4. 大规模机器学习
1. High-Performance Computing (HPC) 2. Scientific data analytics & management 3. Data reduction & lossy compression 4. Large-scale machine learning

可信AI，软件测试（自动驾驶车辆测试，游戏测试，模糊测试等），验证，程序分析，神经元计算，对抗攻击与防御
Trustworthy AI, Software Testing (autonomous vehicle testing, game testing, fuzzing, etc.), Verification, Program Analysis, Neuron Computing, Adversarial Attack & Defense

数据挖掘，机器学习，计算机视觉，医学图像分析，生物医学相关研究
Data mining, machine learning, computer vision, medical image analysis, biomedical-related research

计算机体系结构，包括GPGPU架构，安全架构和机器学习加速器。导师在三星和AMD等公司有工业界经验。
Computer Architecture, including GPGPU architecture, Secure architecture, and ML accelerator. The advisor has industrial experience at companies such as Samsung and AMD.

系统的机器学习，机器学习和系统方法的共同设计，计算机系统，计算机体系结构，软件工程，现实世界云计算系统的资源效率和环境影响
Machine learning for systems, co-designing machine learning and systems approaches, computer systems, computer architecture, software engineering, resource efficiency and environment impact of real-world cloud computing systems

High-performance Computing, System for Machine Learning, and AI for Science

Optics+AI; Photonic Computing; Hardware/algorithm Co-Design; ML for EDA; AI for Physics;

Human-AI Collaboration, Human-Robot Interaction, and User Experience (UX) Design.

光声成像，量子成像，超快成像，荧光成像，机器学习
Photoacoustic Imaging, Quantum Imaging, Ultrafast Imaging, Fluorescence Imaging, Machine Learning

医疗保健和地球物理学的应用人工智能/机器学习
Applied AI/ML for healthcare and geophysics

增强现实（AR）、虚拟现实（VR）系统、边缘计算、无线通信、机器人技术、机器学习、人机交互
Augmented Reality (AR), Virtual Reality (VR) systems, edge computing, wireless communications, robotics, machine learning, human-computer interaction

课题组主要研究半导体器件和集成光子学系统，旨在为新一代成像、通信和计算系统提供更快、更小、更节能的光学器件。具体研究领域包括：1. 新型光源器件（分布式、超快速和可重构激光阵列）；2. 元光学（光学领域的信号和图像处理）；3. 量子光学传感和成像（超越经典极限的传感和成像）。
The research group focuses on semiconductor devices and integrated photonics systems, aiming to provide faster, smaller, more energy-efficient optical devices for the next generation of imaging, communication, and computing systems. Specific research areas include: 1. Novel light source devices (distributed, ultra-fast, and reconfigurable laser arrays); 2. Meta-optics (signal and image processing in the field of optics); 3. Quantum optical sensing and imaging (sensing and imaging beyond classical limits).

大语言模型（LLM）训练，微调，推理；DNN/CV/NLP的高效训练和推理；ML System (efficient large scale training framework)；AI algorithm-hardware Co-design (GPU)
Large Language Models (LLM) training, fine-tuning, inference, Efficient training and inference of DNN/CV/NLP, ML System (efficient large-scale training framework), AI algorithm-hardware Co-design (GPU)

移动边缘计算/智能；网络AI/机器学习；AI/机器学习系统
Mobile Edge Computing/Intelligence, AI/Machine Learning for networks, Systems for AI/Machine Learning

开发可扩展的人工智能方法，应用于多模医学影像，包括PET/CT，PET/MRI，SPECT/CT和其他最先进的模式。
Developing scalable AI approaches with applications in multi-modal medical imaging, including PET/CT, PET/MRI, SPECT/CT and other state-of-the-art modalities.

(1) Machine Learning (Bayesian optimization, bandit algorithms, active learning); (2) AI for Science (experimental design, drug discovery, and materials science)

数字人（Digital Human），计算机视觉及图形学（Computer Vision, Computer Graphics），可控多模态内容生成（Controllable Multimodal AIGC），搏击智能（AI for Martial Arts）

trustworthy machine learning, transfer learning/domain adaptation, out-of-distribution generalization

B5G/6G Networks, ML-assisted Network Resource Management, Mobile Cloud and Edge Computing, Vehicular Networks, Edge Intelligence (Network for AI)

Distributed/federated learning, optimization, learning theory

CPS security, hardware security, AI security

AI for Material Science and Public Health; Algorithmic Fairness; Graph Learning; Trustworthy ML

Quantum algorithms, quantum machine learning, quantum computing

Data Mining, Machine Learning, Natural Language Processing, Social Computing

DM/AI/NLP, LLM and social science

multimodal machine learning, multimodal LLMs, human-AI interaction, applications in health, education, arts and sciences

人工智能，机器学习，计算机视觉，自然语言处理，图论，强化学习
Artificial Intelligence, Machine Learning, Computer Vision, Natural Language Processing, Graph Theory, Reinforcement Learning

大规模机器学习与机器学习系统, 大规模图学习, 检索增强生成和长上下文能力, LLM安全
Machine Learning Algorithm-System Co-Design, Large-scale graph learning, Retrieval augmented generation and long-context ability, LLM safety

分布式缓存系统，持久性缓存，基于CXL和内存池的缓存，NoSQL数据库（RocksDB、LevelDB、HBase），存储系统，文件系统，云存储，新型存储介质（NVM、SMR、DNA、Glass），用于AI/ML服务的数据基础设施。
Distributed caching systems, persistent cache, cache based on CXL and memory pools, NoSQL databases (RocksDB, LevelDB, HBase), storage systems, file systems, cloud storage, new storage media (NVM, SMR, DNA, Glass), data infrastructure for AI/ML services.

研究方向包括深度学习系统和编译器的设计和优化，并行和分布式编程，深度学习应用在异构计算平台上的性能优化，指标驱动的内核优化，深度学习模型在大规模计算平台上的高效映射/调度，容错深度学习系统。
Research areas include deep learning systems and compiler design and optimization, parallel and distributed programming, performance optimization of deep learning applications (e.g., graph neural networks and recommendation systems) on heterogeneous computing platforms (e.g., GPUs), metrics-driven kernel optimizations, efficient mapping/scheduling of deep learning models on large-scale computing platforms, failure-tolerated deep learning systems.

儿童情感在家庭环境中的发展
Research on children's emotional development in family environments

Scaling Law research, ML Theory, ML Application in science

System security, side-channel security, microarchitectural security, hardware security

Mobile Data Mining, On-Device Learning, Cyber-Physical Systems

I work on System Security and Privacy. Current (main) interests: XR Security, Web3 Security, and Side Channels. I am also working on projects related to confidential computing (TEEs) and mobile security.

Computer Vision, Large Language Model, Interpretable Machine Learning, Robotics

ML for IoT, Smart Health, Mobile Sensing

Reinforcement Learning, Robotics, Data Mining, HCI

AI Security, LLM Security, Privacy, Applied Cryptography

Accelerator, Domain-Specific Architecture and Systems, FPGAs

Systems and Software Security, Compilers

Formal Verification, Programming Languages, Software Security

ML/data mining on graphs, AI for public health, scientific modeling

LLM training & evaluation, Reinforcement Learning, Game Theory, ML Theory, Information Theory

HCI, Human-Centered AI Privacy

Networking, Generative AI, Security and Privacy

NLP, LLM, reasoning, planning

Efficient machine learning, systems and applications (such as LLMs, generative AI)

AI + Robotics, Surgical Robotics, Medical Devices

Computer Vision, Deep Learning

NLP, LLM, ML, Data Mining

Large Language Model, Formal Verification, Hardware Security

AutoML, ML Optimization,Trustworthy AI, Cybersecurity, Online/Continual Learning, Adversarial Machine Learning, IoT, EV security, Intrusion/Anomaly Detection

NeuroAI, Computational Neuroscience, AI4Science

Data Visualization, Human-Computer Interaction, Intelligent AR systems

Quantum algorithms, quantum machine learning, quantum computing

MLSys

Dependability & Security, Cyber-Physical Systems, ML, Autonomous Driving, Smart Health

Multi-party Multi-modal Dialogue, AI for Education/Healthcare, Deep Structured Prediction

Data systems and algorithms (req: C++, CUDA, etc.), deep learning (req: PyTorch, etc.), check: https://bit.ly/danielYan

Mobile Computing, wireless and wearable sensing, Human-Computer Interaction

AI for science, Graph Neural Networks

Computer architecture, security, and ML systems

Data Mining, Graph Machine Learning, Computational Epidemiology, Smart Health

Distributed control, stability analysis, cyber-physical microgrid, power systems

NLP, Explainable AI

Adaptive AI computing, physics-informed deep learning, AI in health care

MLSys, Distributed System

HCI for Health, AI/ML for Health, Human-AI Interaction

Advanced semiconductor materials, devices, and integrated circuits (ECE, Physics, Materials Science)

Blockchain and crypto, LLM security and privacy, applied cryptography, ZKP.

NLP (LLMs, scientific/biomedical text mining), data mining, AI for science

Information security&privacy, trustworthy machine learning and learning theory

Trustworthy ML, Data Mining, AI for Sustainability

Edge Computing，Edge AI

Security, Foundation Models, Agent

Machine Learning and Cybersecurity: Trustworthy Machine Learning (e.g., safe LLMs), Machine learning for Security Applications

Cryptography, computer security and privacy

HCI, Human-AI interaction, AR/VR, Educational Technology, AI for edu, Child-computer interaction

Computer Vision, 2D and 3D Generation

Physics-informed ML, Computer Vision, Probabilistic Graphical Models, Neural-symbolic Integration

Trustworthy text generation, LLM-based agents, High-stakes NLP applications

Trustworthy ML and ML Security, LLM Theory

Operating System, Networking

Trustworthy AI, Data Mining, Graph Learning, AI/ML + x(applications), LLMs

Natural Language Processing, Trustworthy Large Language Models

ML, AI for Healthcare, AI for Medicine, AI for Science, Trustworthy ML

multimodal machine learning, multimodal LLMs, human-AI interaction, applications in health, education, arts and sciences

1）Congnitively discrete learning in LLM and diffusion or 2） AI for medical sciences

machine learning, learning theory, AI ethics

Data Mining, Trustworthy/Safe AI, LLM, AI/ML+X

Robotics, robot learning, manipulation, human-robot interaction, control

Data Privacy and Security in AI, Internet of Things

Multi-armed Bandit, Online Learning, Multi-agent Systems, Causal Inference, Operation Research

AI for Material Science (1 GRA); Recommender Agent (1 GRA); Hypothesis Generation and Validation (1 GRA + 1 Postdoc)

System Security, Cloud Security, Trusted Execution Environment, GPU security, Confidential Computing

Data Mining, Knowledge-guided Machine Learning, AI for Science, Spatio-temporal Data Mining

ML Systems, Serverless Computing, Federated Learning

Mobile Computing, Mobile Health, Internet of Things, Cybersecurity

Data Mining, Anomaly Detection

Federated learning, Large language models, Diffusion models, Computer Vision

Trustworthy AI

Large language models, multi-armed bandits, Bayesian optimization

multimodal machine learning, multimodal LLMs, human-AI interaction, applications in health, education, arts and sciences

NLP, Large Language Model

密码学、数据安全、隐私保护、安全多方计算、零知识证明协议
Cryptography, Data Security, Privacy Protection, Secure Multi-party Computation, Zero-Knowledge Proof Protocols

Mobile Computing: Wireless Sensing Systems, Human-Computer Interaction Applications, Smart Home and Internet of Things Applications. Cybersecurity: Mobile Authentication, Novel Biometrics, Smart Home and Internet of Things Security.

Graph neural networks, natural language processing, AI for healthcare

MLSys、经典/AI Software、Systems、编译器等场景中的程序分析、优化、安全、测试、验证等。利用 AI 解决上述场景中的经典问题以及解决 AI 在系统（例如编译）层面的问题。

3D vision, 3D imaging for proteins, image/signal processing, robust estimation and theory, multiview geometry, optimal transport (optimization in probability space, e.g. over Wasserstein distances). 3D视觉，冷冻电镜蛋白结构估计，图像与信号处理，鲁棒估计及理论，多视几何，最优传输

自然语言处理/人工智能，知识基础、推理、规划，可靠的自然语言接口，跨学科应用
NLP/AI, Knowledge Grounding, Reasoning, Planning, Responsible and trustworthy natural language interfaces, Interdisciplinary Applications

计算机教育数据挖掘，学习分析，计算机教育研究，人机交互在教育中的应用，大语言模型在计算机教育中的应用
Educational Data Mining in Computer Science Education, Learning Analytics, Computing Educational Research, Human-Computer Interaction in Education, Large Language Models in Computing Education

生物医学人工智能，科学文档理解的自然语言处理
AI for biomedicine, NLP for scientific document understanding

统计机器学习，贝叶斯深度学习，大模型可靠性，大模型对齐，不确定性估计，生成式AI，采样/马尔科夫链
Statistical machine learning, Bayesian deep learning, reliable large language models, LLM alignment, uncertainty quantification, generative AI, sampling/MCMC

软件安全, 机器学习安全
Software security, machine learning security

AI+Database, Vector database, LLM, Retrieval-augmented generation, Information retrieval

Scientific Machine Learning, 3D Vision, LLM

时空数据挖掘、人工智能、城市计算
Spatial Data Mining, Artificial Intelligence, Urban Computing

1. 非凸优化的全局最优解：继续探究一些简单非凸问题的全局自由解。主要研究有没有很好的办法去找到这个最优解，设计一些新的方法和理论，并且用数学语言精准的描述。 2. 新的优化算法：基于我们组已有的一些理论基础，设计并测试一些基于新理论的优化方法（如零阶算法，混合算法），使其可以应付愈加复杂的机器学习模型，比如LLM。 3. 机器学习新理论的研究：探索性研究，探究机器学习应该关注的新属性，比如参数化理论，信噪比理论，并构建一些基础定理。 4. 大模型和新模型: 探究这些复杂模型的optimization landscape，training/finetuning dynamics，以达到更好的训练，finetune它们的效果。同时我们也对基于理论的大模型的简化与优化感兴趣。

1.驾驶行为建模与学习。我们致力于通过AI学习理解微观驾驶行为，并且结合AI和控制方法去优化驾驶行为。 2.智能交通系统中的网络安全。随着自动驾驶车辆的出现，网络安全风险也随之增加。我们的工作包括分析网络攻击对车辆和交通流的研究。 3.现代交通分析中的AI方法。我们的工作不仅限于微观研究，还涉及数据分析，探索更宏观的交通问题。 4.交通流理论研究。 5.交通安全。

Efficient AI Computing, Quantum Computing, Computer Architecture

结构陶瓷, 高熵陶瓷
Structural ceramics, High-entropy ceramics

高性能计算, 人工智能, 优化方法, 大模型预训练, 人工智能网络基础设施, 深度学习, 科学计算
High-Performance Computing, Artificial Intelligence, Optimization Methods, Pre-training of Large Models, AI Network Infrastructure, Deep Learning, Scientific Computing

自动驾驶，系统安全，健康医疗，人工智能
Autonomous Driving, Cyber-Physical System Security, Smart Healthcare, Machine Learning, and Artificial Intelligence

计算生物学，医学基因组学，生物信息学，生物统计学，群体遗传学
Computational Biology, Medical Genomics, Bioinformatics, Biostatistics, Population Genetics

机器学习, 量子软件工程, 安全
Machine Learning, Quantum Software Engineering, Security

边缘计算，智能物联网，TinyML，高效机器学习
Edge computing, intelligent internet of things, TinyML, efficient machine learning

医学影像分析、医学自然语言理解、生物信息分析
Medical image analysis, Medical natural language processing, Bioinformatics

水文，水资源，气候变化
Hydrology, Water Resources, Climate Change

边缘智能，区块链，机器学习，网络安全
Edge Intelligence, Blockchain, Machine Learning, Network Security

医学图像重建，医学图像分析，机器学习方法论
Medical image reconstruction, medical image analysis, machine learning methodologies

量子计算、大语言模型、硬件体系结构设计、人工智能
Quantum Computing, Large Language Models, Hardware Architecture Design, Artificial Intelligence

纳米医学、基因组编辑、免疫工程
Nanomedicine, Genome Editing, Immunoengineering

自然语言处理、机器学习
Natural Language Processing, Machine Learning

鞍点问题，复合优化问题，随机优化问题，强化学习中的优化问题的算法设计和收敛性，复杂度分析，复杂度下界
Saddle point problems, composite optimization problems, stochastic optimization problems, algorithm design and convergence in optimization problems in reinforcement learning, complexity analysis, and lower bounds of complexity

云系统、机器学习系统、系统安全
Cloud systems, ML systems, System security

计算机视觉、医学图像分析、生成式人工智能、基础模型
Computer Vision, Medical Image Analysis, Generative AI, Foundation Model

智能嵌入式系统、安全关键型物理系统、实时任务调度、实时感知、合作感知、对抗攻击与防御、大型语言与视觉模型
Intelligent Embedded Systems, Safety-Critical Cyber-Physical Systems, Real-time Task Scheduling, Real-time Perception, Cooperative Perception, Adversarial Attacks and Defenses, Large Language and Vision Models

高性能 GenAI/LLM/ML
High-performance GenAI/LLM/ML

心血管疾病，代谢疾病，代谢表观遗传机制
Cardiovascular diseases, metabolic diseases, metaboloepigenetic mechanisms

移动/可穿戴计算, 移动医疗, 隐私计算, 生物认证, 人机交互系统
Mobile/Wearable Computing, Mobile Health, Privacy Computing, Biometrics and Authentication, Human-Computer Interaction System

新型半导体技术下的高效ML加速器设计, 高效机器学习算法, 新兴人工智能硬件和应用的硬件/软件协同设计, 电子/光子设计自动化, 硬件设计自动化中的机器学习
Efficient ML Accelerator Design with Emerging Semiconductor Technology, Efficient Machine Learning Algorithms, Hardware/Software Co-Design for Emerging AI Hardware and Applications, Electronic/Photonic Design Automation, ML for Hardware Design Automation

高性能计算、数据压缩、科学数据管理
High-Performance Computing, Data reduction, Scientific data management

人体姿势和动作分析，人体对象互动建模，LLM/基础模型（微调）
human pose and motion analysis, human-object interaction modeling, LLM/foundation models (fine-tuning)

大数据系统，数据挖掘，机器学习
Big Data Systems, Data Mining, Machine Learning

热流体科学，先进能源系统设计/优化，基于机器视觉的图像处理，多尺度多物理场数值工具
Thermal-fluid sciences, Advanced energy system design/optimization, Computer Vision-Based Image Processing, Multi-scale multi-physics numerical tools

人工智能、机器学习、自然语言处理
AI, machine learning, natural language processing

智能交通网络物理系统，交通数据分析，交通仿真和建模，自动驾驶系统，软件硬件集成
Transportation Cyber-Physical Systems, Traffic Data Analysis, Traffic Simulation and Modeling, Automated Driving Systems, Software-Hardware Integration

金属增材制造，材料测试（蠕变、疲劳等），表征，数值模拟
Additive Manufacturing, Materials Testing (Creep, Fatigue, etc.), Characterization, Numerical Simulation

物联网和深度学习在智能无线感知系统中的应用
Internet of Things (IoT) and Deep Learning (DL) in Intelligent Wireless Sensing Systems

单分子基因探针，体外器官芯片技术，癌症转移，阿尔茨海默症，药物筛查和治疗方案
Single-molecule gene probes, organ-on-a-chip technology, cancer metastasis, Alzheimer's disease, drug screening, and treatment plans

AI安全，通信安全与隐私保护，多模态AI
AI security, communication security and privacy protection, multimodal AI

数据驱动的动态系统建模、估计、控制和优化；硬件在环（HIL）车辆和交通系统仿真
Data-driven dynamic system modeling, estimation, control, and optimization; Hardware-in-the-loop (HIL) vehicle and traffic system simulation

大规模和高效的图机器学习算法与系统, 大模型的算法优化和应用探索, 交叉科学问题：生物信息学
Large-scale and efficient graph machine learning, Efficiency problems and applications of large model, Bioinformatics

可变形结构背后的力学原理，包括折纸启发式结构，软体机器人结构，自适应超材料，多功能机构，可变形结构数值仿真，基于机器学习的逆设计，以及可变形结构的制造和实验方法。
Mechanics behind deformable structures, including origami-inspired structures, soft robotics, adaptive metamaterials, multifunctional mechanisms, numerical simulation of deformable structures, machine learning-based inverse design, and manufacturing and experimental methods for deformable structures.

生物统计学、统计学、机器学习、遗传学
Biostatistics, Statistics, Machine Learning, Genetics

无机材料的热电性能，能量收集设备，热电学
Thermoelectric properties of inorganic materials, energy harvesting devices, thermoelectrics

可靠机器学习、资源高效机器学习、大型语言模型/基础模型、图机器学习、环境人工智能
Reliable Machine Learning, Resource-Efficient Machine Learning, Large Language Models/Foundation Models, Machine Learning on Graphs, Environmental AI

环境信息学、土壤学、遥感
Environmental Informatics, Soil Science, Remote Sensing

流体力学和软物质，多相流，微流体学，活性胶体系统
Fluid Mechanics and Soft Matter, multiphase flow, microfluidics, active colloidal systems

人机交互/协作，安全和交互式自动驾驶与机器人导航，多智能体学习与规划，可信人工智能/机器学习，深度强化学习与控制，视觉和语言模型用于机器人和自主系统，智能交通系统与智慧城市
Human-Robot Interaction/Collaboration, Safe and Interactive Autonomous Driving & Robot Navigation, Multi-Agent Learning & Planning, Trustworthy AI/ML, Deep Reinforcement Learning & Controls, Vision and Language Models for Robotics and Autonomous Systems, Intelligent Transportation Systems & Smart City

移动计算、物联网技术、物理神经网络、基于AI的无线传感
Mobile Computing, Internet of Things, Physical Neural Networks, AI-based Wireless Sensing

网络安全相关，包括但不限于：对抗性机器学习与对策，网络和系统安全，安全软件开发和代码分析，密码学和数据隐私，物联网和移动安全
Network security, including but not limited to: Adversarial machine learning and countermeasures, Network and system security, Secure software development and code analysis, Cryptography and data privacy, Internet of Things (IoT) and mobile security

颗粒力学、多物理场耦合过程、大数据岩土
Granular mechanics, multi-physics coupling processes, big data geotechnics

机器学习、量子力学、催化剂、纳米材料、新能源应用
Machine Learning, Quantum Mechanics, Catalysis, Nanomaterials, New Energy Applications

大语言/视觉模型的高效训练、推理和部署、迁移/持续学习、模型压缩、设备学习、硬件和软件协同设计以加速
Efficient training, inference and deployment of large language/vision models, transfer/continual learning, model compression, on-device learning, hardware and software co-design for acceleration

机器学习，数据挖掘，可信机器学习，多模态机器学习，医学信息学
Machine Learning, Data Mining, Trustworthy Machine Learning, Multi-Modal Machine Learning, Medical Informatics

机器学习，计算流体力学
Machine Learning, Computational Fluid Dynamics

数据挖掘、机器学习、推荐系统、大语言模型、可信人工智能
Data Mining, Machine Learning, Recommendation Systems, Large Language Models, Trustworthy Artificial Intelligence

功能性核酸分子的计算设计，DNA探针，分子机器，单细胞基因组学，蛋白质组学，下一代mRNA技术平台
Computational design of functional nucleic acids, DNA probes, molecular machines, single-cell genomics, proteomics, next-generation mRNA technology platforms

人工智能，人机协作，智慧城市
Artificial Intelligence, Human-Machine Collaboration, Smart Cities

软件工程/安全的LLM，软件工程和安全的自然语言处理
LLM for software engineering/security, NLP for software engineering and security

复杂网络分析，图挖掘，影响力最大化，机器学习
Network Analytics, Graph Analytics, Influence Maximization, Machine Learning

生成式人工智能，计算机视觉，机器学习
Generative AI, Computer Vision, Machine Learning

分布式系统、云计算、微服务架构、流处理系统、科学数据分析系统
Distributed Systems, Cloud Computing, Microservices Architecture, Stream Processing Systems, Scientific Data Analysis Systems

机器学习、深度学习、数据科学、联邦学习、可信人工智能、图数据挖掘
Machine Learning, Deep Learning, Data Science, Federated Learning, Trustworthy AI, Graph Data Mining

人工智能安全与隐私，负责任的人工智能，网络安全，网络物理系统
AI Security & Privacy, Responsible AI, Network Security, Cyber-Physical Systems

强化人工智能，人工智能与安全，量子机器学习
Robust AI, AI + security, Quantum machine learning

软件工程, 软件测试, 实证软件工程, 领域特定软件工程（例如生物信息学，嵌入式系统），将人工智能和机器/深度学习应用于软件工程
Software Engineering, Software Testing, Empirical Software Engineering, Domain-specific Software Engineering (e.g., bioinformatics, embedded systems), Applying AI and Machine/Deep Learning to Software Engineering

机器学习、计算机视觉、人工智能在生物医学图像处理中的应用
Machine Learning, Computer Vision, Artificial Intelligence in Biomedical Image Processing