HKCUHKDepartment of Information Engineering
Dahua LinAssociate Professor
Works on computer vision and machine learning, including large-scale visual understanding and generative models.
- Recognition, detection & segmentation
- Generative & foundation models
- 2026Achieving Olympia-Level Geometry Large Language Model Agent via Complexity Boosting Reinforcement LearningICLR
- 2026Advancing Complex Video Object Segmentation via Progressive Concept ConstructionICLR
179 T1 · 210 papers · Group size not listed HKCUHKDepartment of Information Engineering
Works on computer vision, pattern recognition and AI for science.
- Recognition, detection & segmentation
- 2026$\beta $-DARTS++: Bi-Level Regularization for Proxy-Robust Differentiable Architecture SearchTPAMI
- 2026A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven EnhancementACL
162 T1 · 214 papers · Group size not listed HKCUHKDepartment of Computer Science and Engineering
Pheng Ann HengChoh-Ming Li Professor of Computer Science and Engineering
Develops AI and virtual reality for medical applications, including medical image analysis and surgical simulation.
- Medical imaging & healthcare AI
- Physics, climate & scientific computing
- Physics-based simulation & animation
- 2026Attenuation-Resilient Alternating Optimization for Laparoscopic Liver Landmark DetectionMICCAI
- 2026Benchmarking Endoscopic Surgical Image Restoration and BeyondCVPR
94 T1 · 174 papers · Group size not listed HKCUHKDepartment of Computer Science and Engineering
Works on machine learning, graph neural networks, recommender systems, social computing and natural language processing.
- Graph learning
- Social computing & responsible AI
- Recommendation, search & web
- 2026Advancing Multi-Agent RAG Systems with Minimalist Reinforcement LearningAAMAS
- 2026Adversarial Encoding Perturbation and Synthesis for Set Representation Auxiliary LearningICLR
89 T1 · 141 papers · 27 members · 10 alumni HKCUHKDepartment of Systems Engineering and Engineering Management
Works on Chinese language processing, information retrieval and databases.
- Knowledge, QA & retrieval
- Recommendation, search & web
- 2026EEPO: Exploration-Enhanced Policy Optimization via Sample-Then-ForgetICLR
- 2026Enhancing Event Causality Extraction With Mention-Level Causal Evidence and Global Causal Graph ReasoningTKDE
54 T1 · 90 papers · Group size not listed HKCUHKDepartment of Computer Science and Engineering
Works on design automation for microfluidic biochips and VLSI, and on trustworthy machine learning.
- Trustworthy & safe ML
- Accelerators, chips & architecture
- Soft, surgical & micro robots
- 2026KCLNet: Electrically Equivalence-Oriented Graph Representation Learning for Analog CircuitsAAAI
- 2026Photonic Quantum Computing on Spin Memory Architecture with Tree-Encoded FusionISCA
54 T1 · 158 papers · 18 members · 3 alumni HKCUHKDepartment of Computer Science and Engineering
Works on 3D vision, 3D generation and reconstruction, computer graphics and human-computer interaction.
- 3D vision & neural rendering
- Rendering & appearance
- Generative 3D & visual content
- 2026ATOM: Geometry-Aware Microgesture Detection towards Object-Agnostic Tangible InteractionUIST
- 2026EgoHandICL: Egocentric 3D Hand Reconstruction with In-Context LearningICLR
53 T1 · 79 papers · 15 members · 37 alumni HKCUHKDepartment of Computer Science and Engineering
John C. S. LuiChoh-Ming Li Professor of Computer Science and Engineering
Works on online learning such as multi-armed bandits and reinforcement learning, network science and quantum networks.
- Reinforcement learning
- Learning theory & optimization
- 2026Constraint-Aware Combinatorial Bandits: Theoretical Foundations and Network ApplicationsINFOCOM
- 2026Faster, Smaller, and Smarter: Task-Aware Expert Merging for Online MoE InferenceINFOCOM
51 T1 · 155 papers · Group size not listed HKCUHKDepartment of Information Engineering
Tianfan XueVice Chancellor Assistant Professor
Works on learning-based computational photography, image and video processing and 3D reconstruction.
- 3D vision & neural rendering
- Video understanding
- 2026ARVFI: Bi-directional Autoregressive Diffusion for Large Complex Motion InterpolationCVPR
- 2026Color Pass-Through via Camera-Display CouplingECCV
51 T1 · 62 papers · 17 members · 7 alumni HKCUHKDepartment of Electronic Engineering
Works on intelligent surgical robotics, continuum and soft robots, and learning-based control in image-guided procedures.
- Soft, surgical & micro robots
- Manipulation & robot learning
- 2026Bioinspired Kirigami Capsule Robot for Minimally Invasive Gastrointestinal BiopsyICRA
- 2026Bridging Vision and Language for Robust Context-Aware Surgical Point Tracking: The VL-SurgPT Dataset and BenchmarkAAAI
48 T1 · 133 papers · 19 members · 41 alumni HKCUHKDepartment of Electronic Engineering
Leads the AI in Medicine group, working on medical image analysis and abnormality detection with deep learning.
- Medical imaging & healthcare AI
- Recognition, detection & segmentation
- 2026FedPD++: Enhanced Federated Open-Set Recognition with Parameter DisentanglementIJCV
- 2026Fiber HGNN: Heterogeneous Graph Neural Network for Fiber Tract SegmentationTMI
48 T1 · 103 papers · 16 members · 7 alumni HKCUHKDepartment of Computer Science and Engineering
Michael Rung Tsong LyuChoh-Ming Li Professor of Computer Science and Engineering
Works on software engineering and AI, including large language models for code, AIOps log analysis and dependable computing.
- Large language models
- Compilers & programming languages
- 20263D Software Synthesis Driven by Constraint-Expressive Intermediate RepresentationICSE
- 2026Data Compressibility Quantifies LLM MemorizationTMLR
45 T1 · 144 papers · 26 members · 102 alumni HKCUHKDepartment of Systems Engineering and Engineering Management
Works on data mining, graph learning and knowledge management.
- Graph mining & networks
- Data management & big data
- Graph learning
- 2026A Unified Framework for Dense Subgraph Maintenance over Dynamic Bipartite GraphsSIGMOD
- 2026Beyond Structure: Invariant Crystal Property Prediction with Pseudo-Particle Ray DiffractionICLR
44 T1 · 54 papers · Group size not listed HKCUHKDepartment of Computer Science and Engineering
Works on transfer learning, domain adaptation and machine learning applications.
- 2026A Theoretical Analysis of Backdoor Learning as Simplicity-Biased Optimization DynamicsNeurIPS
- 2026Analytical FFN-to-MoE Restructuring via Activation Pattern AnalysisACL
34 T1 · 49 papers · 7 members · 14 alumni HKCUHKDepartment of Computer Science and Engineering
Studies machine learning theory, deep generative models, optimization and information theory, including optimal transport.
- Learning theory & optimization
- Generative & foundation models
- Planning, control & multi-robot systems
- 2026Boosting Cross-problem Generalization in Diffusion-Based Neural Combinatorial Solver via Inference Time AdaptationAAAI
- 2026DAK-UCB: Diversity-Aware Prompt Routing for LLMs and Generative ModelsICLR
33 T1 · 47 papers · Group size not listed HKCUHKDepartment of Computer Science and Engineering
Works on machine learning systems, data center networks and AI for IT operations.
- 2026AGZO: Activation-Guided Zeroth-Order Optimization for LLM Fine-TuningICML
- 2026Dynamic Compute and Network Orchestration for Disaggregated RLSIGCOMM
31 T1 · 66 papers · 19 members · 16 alumni HKCUHKDepartment of Computer Science and Engineering
Leads SphereLab, which studies principles of generative AI, foundation models and large language models.
- Generative & foundation models
- Large language models
- 2026CHIPS: Efficient CLIP Adaptation via Curvature-aware Hybrid Influence-based Data SelectionCVPR
- 2026Denoise First, Orthogonalize Later: Understanding Momentum in Muon via Spectral FilteringNeurIPS
30 T1 · 50 papers · 16 members · 1 alumnus HKCUHKDepartment of Computer Science and Engineering
Studies optimization for machine learning, including bilevel and distributed optimization.
- Learning theory & optimization
- Distributed, cloud & edge systems
- 2026Bilevel Optimization over Saddle Points of Zero-Sum Markov GamesICML
- 2026How Can Mamba Learn In Context with Outliers and Generalize Provably?ICML
29 T1 · 40 papers · 5 members HKCUHKDepartment of Computer Science and Engineering
Builds distributed systems for big data and machine learning, such as the Husky computing system and the FlexPS parameter server.
- Distributed, cloud & edge systems
- Data management & big data
- 2026CAM: Question Answering on Entity-Centric Videos with Continuous Extraction and Adaptive QueryingNeurIPS
- 2026Discovering and Reasoning of Causality in the Hidden World with Large Language ModelsJMLR
24 T1 · 54 papers · Group size not listed · 23 alumni HKCUHKDepartment of Mechanical and Automation Engineering
Works on micro- and nanorobotics for biomedical applications, including magnetically actuated microrobot swarms.
- Planning, control & multi-robot systems
- Soft, surgical & micro robots
- Medical image analysis
- 2026A Caterpillar-Type Miniature Robot for Adaptive Locomotion and Exploration of Tiny Rigid/Soft PipesT-RO
- 2026AI-driven Actuation-compatible Tracking for Closed-loop Navigating Miniature Robots in vivoScience Robotics
24 T1 · 143 papers · 29 members · 153 alumni