Theoretical Computer Science

Computer vision and multi-modal systems, specifically on developing multi-modal learning and interpretation schemes, multi-modal scene-understanding models, and controlable unimodal/multi-modal AIGC.

MLSys, AI Infra, Cloud/Edge Computing

Mathematical foundation of artificial intelligence, intelligent data analysis, data science and systems

Human-computer Interaction and Virtual Reality, Interactive Intelligence and Edge Computing, Smart Healthcare and Digital Health

Security, Operating System, Computer Human Interaction

Network Protocols and Architecture, Artificial Intelligence for IT Operations, Cloud and Edge Computing

Computer Graphics, Intelligent Information Processing, System Software

network security，anonymous communication，Internet of Things

Next-gen networks, computing aware network, RTC & edge optimization.

Computer Vision, Multi-modal Learning

Intelligent Image Processing, Computer Vision, Medical Image Processing, Computed Tomography

Machine Learning, Un/Semi/Weakly-Supervised Machine Learning, VLM/LLM, Reliable and Robust Machine Learning

Natural Language Processing, Large Language Models

Artificial Intelligence, Interdisciplinary Applications, Medical Image Analysis

Graph Machine Learning; Complex Network Information Mining; Artificial Intelligence and its Applications on Network Data.

Wireless communication, signal processing, integrated sensing and communication, resource allocation, wireless localization, 5G/6G, WiFi

AI for System, System for AI, Simulation, AI-driven decision-making

Natural Language Processing, Knowledge Graph

AI Security, Agentic AI Security, Security For AI, Crypto+AI, ML System Security

Intelligent Information Processing

Multimodal Large Language Models, Affective Computing, Computer Vision

Human-Computer Interaction, Interaction Design, Game Design, Digital Well-being

Efficient AI Algorithms, Efficient Large Language Models

Weakly supervised learning, Large language model, Model evolution

Data Science and Data Engineering, Machine Learning and Industrial Intelligence

Spatial Temporal Data Mining, Imitation learning, Robotics, Intelligent Transportation

Machine Learning,Network Computing,Trustworthy Software,AI in Healthcare etc.

Artificial Intelligence, Machine Learning, Spatiotemporal Data Mining, Computer Vision

Computer Vision (Re-ID, Anomaly, Segmentation) and Pattern Recognition (Vison-Language Model)

Computer Networking, Embedded Systems, Swarm Intelligence, Embodied Intelligence, Algorithm Design and Analysis

Computer Networks, Intellegent Systems

AI for Science, Human-AI Collaboration, Visual Analytics

Large Language Model, Machine Learning, Electronic Design Automation

Computer Graphics

scalable ML, causal graphs, hardware acceleration, LLMs for biology, RAG.

Embodied Intelligence, Computer Vision, AI for Science

Software Security, Program Analysis, LLM-driven software testing

Image processing

Service computing，Scheduling Optimization，Intelligent Algorithm

rtificial intelligence, multiagent systems, and game theory

Formal methods, Algorithms

Large Language Models, Machine Learning

Large Language Model, Knowledge Graph, AI Applications

wireless networks, IoT network, device identification

Multimodal Deep Learning, Signal and Image Processing, Intelligent Diagnosis and Treatment Systems

CT Reconstruction, Medical Imaging, Diffusion Model

AIoT, Networking, Cloud Computing, AI for Science, Privacy and Security

Machine Learning, Large Language Models and AI for EDA

Intelligent medical image analysis, multi-modal large language model, embodied AI

Computer Vision, MultiModal Learning, Image Anomaly Detection, Feature Matching

Artificial Intelligence and Its Applications，Brain-Computer Interface，Wearable Devices，CV

Large Language Models, Large Multi-modal Models

Image Processing and Analysis；Artificial Intelligence；Computer-Aided Diagnosis and Therapy

LLM Reasoning, Data Learning, Trustworthy AI

My recent research interests include intelligent analysis of medical images, medical multimodal foundation models, and theory of efficient and robust deep learning.

AI for Life Science, LLM, Knowledge Graph

Computer vision, machine learning

Logic Programming, Argumention and Critical Thinking, Automated Planning, and Their Applications in the Design of Intelligent Agents

program synthesis, trustworthy software development methodologies, requirements engineering

MLLM, AI4Healthcare, and Embodied AI

Internet of Things, Edge Computing and Intelligence, and Scheduling Optimization

Machine Learning System(mlsys), Large Model Inference Acceleration, Cloud-Edge-Device Collaborative Optimization