SG NTUCollege of Computing and Data Science
Dacheng Tao Distinguished University Professor Applies statistics and mathematics to artificial intelligence, including computer vision, deep learning theory and large models.
Learning theory & optimization Data management & big data Large language models2026 A Simple "Motivation" Can Enhance Reinforcement Finetuning of Large Reasoning Models ICLR 2026 AD-FM: Multimodal LLMs for Anomaly Detection via Multi-Stage Reasoning and Fine-Grained Reward Optimization AAAI 346 T1 · 501 papers · Group size not listed SaveSG NUSDepartment of Computer Science Dec 15
Works on multimodal foundation models, conversational search and recommendation, and trust and safety of AI; co-directs the NExT search centre.
Large language models Interpretability, evaluation & safety of LMs Recommendation, search & web2026 ADVersa: Abductive Driving Accident Video Understanding TPAMI 2026 AlphaSteer: Learning Refusal Steering with Principled Null-Space Constraint ICLR 215 T1 · 319 papers · Group size not listed · 37 alumni SaveHK CUHKDepartment of Information Engineering Dec 1
Dahua Lin Associate Professor Works on computer vision and machine learning, including large-scale visual understanding and generative models.
Recognition, detection & segmentation Generative & foundation models2026 Achieving Olympia-Level Geometry Large Language Model Agent via Complexity Boosting Reinforcement Learning ICLR 2026 Advancing Complex Video Object Segmentation via Progressive Concept Construction ICLR 179 T1 · 210 papers · Group size not listed SaveUS UT AustinElectrical and Computer Engineering Dec 15
Leads the VITA Group, working on efficient and robust deep learning, sparse neural networks and large language models.
Trustworthy & safe ML Large language models Efficient training & inference2026 A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models ECCV 2026 Beyond Test-Time Memory: State-Space Optimal Control for LLM Reasoning ICML 165 T1 · 197 papers · 15 members · 45 alumni SaveHK CUHKDepartment of Information Engineering Dec 1
Works on computer vision, pattern recognition and AI for science.
Recognition, detection & segmentation2026 $\beta $-DARTS++: Bi-Level Regularization for Proxy-Robust Differentiable Architecture Search TPAMI 2026 A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement ACL 162 T1 · 214 papers · Group size not listed SaveUS UC BerkeleyElectrical Engineering and Computer Sciences Dec 1
Develops deep reinforcement learning algorithms for decision making and control in robots.
2026 Cliqueformer: Model-Based Optimization with Structured Transformers AAAI 2026 Decoupled Q-Chunking ICLR 151 T1 · 164 papers · 23 members · 45 alumni SaveCN TsinghuaDepartment of Automation Feb 28
Jiwen Lu Associate Professor Works on computer vision, machine learning, AI security, and embodied intelligent systems.
2026 Alignment-Invertibility Regularization for Explainable Neural Networks TPAMI 2026 Astra: General Interactive World Model with Autoregressive Denoising ICLR 145 T1 · 174 papers · 12 members · 36 alumni SaveUS StanfordComputer Science Dec 8
Jiajun Wu Assistant Professor of Computer Science Studies physical scene understanding and multimodal perception for embodied agents and robots.
Embodied & active vision Recognition, detection & segmentation Multimodal & grounded language2026 AnyLift: Scaling Motion Reconstruction from Internet Videos via 2D Diffusion CVPR 2026 ART: Articulated Reconstruction Transformer CVPR 144 T1 · 173 papers · 9 members · 24 alumni SaveCN ZhejiangSchool of Artificial Intelligence Feb 28
Works on multimodal learning, including speech and singing-voice synthesis, audio generation and video-language understanding.
Speech synthesis & voice Speech recognition & spoken language Vision-language & multimodal2026 A Survey of Direct Preference Optimization: Datasets, Theories, Variants, and Applications TPAMI 2026 AlignSep: Temporally-Aligned Video-Queried Sound Separation with Flow Matching ICLR 136 T1 · 194 papers · Group size not listed SaveCN TsinghuaDepartment of Computer Science and Technology Feb 28
Works on large language models, knowledge graphs and semantic computing, and computational social science.
Large language models Knowledge, QA & retrieval Graph mining & networks2026 APB-V: Accelerating Long-Video Understanding via Sequence-Parallelism-aware Approximate Attention ACL 2026 AutoReproduce: Automatic AI Experiment Reproduction with Paper Lineage ACL 133 T1 · 203 papers · 24 members · 27 alumni SaveCN PekingSchool of Computer Science Jan 15
Boxin Shi Associate Professor with Tenure Leads the Camera Intelligence Lab, researching computational photography, neuromorphic vision sensors and computer vision.
Computational imaging & photography Accelerators, chips & architecture2026 240FPS stereo vision from monocular mixed spikes CVPR 2026 340 FPS reflection-free video from spikes modulated by a rapidly rotating polarizer ECCV 125 T1 · 138 papers · 26 members · 21 alumni SaveUS UMDComputer Science
Leads the GAMMA group on robot navigation, autonomous driving, audio and multimodal AI, and physically based simulation.
Autonomous vehicles & drones Embodied & active vision Vision-language & multimodal2026 Bi-VLM: Binary Post-Training Quantization for Vision-Language Models AAAI 2026 DIAGRAMS : A Review Framework for Reasoning-Level Attribution in Diagram QA ACL 125 T1 · 185 papers · Group size not listed SaveCN TsinghuaDepartment of Computer Science and Technology Feb 28
Works on natural language processing, large models, Chinese information processing, and computing for the humanities and arts.
2026 A Goal Without a Plan Is Just a Wish: Efficient and Effective Global Planner Training for Long-Horizon Agent Task ACL 2026 AutoReproduce: Automatic AI Experiment Reproduction with Paper Lineage ACL 122 T1 · 190 papers · 48 members · 123 alumni SaveCN TsinghuaDepartment of Electronic Engineering Feb 28
Works on urban science and computing, AI for spatio-temporal and mobility data, and large-model agents for social simulation.
Time series, anomaly & spatio-temporal data Physics-based simulation & animation Physics, climate & scientific computing2026 AgentSwift: Efficient LLM Agent Design via Value-guided Hierarchical Search AAAI 2026 Artificial intelligence tools expand scientists' impact but contract science's focus Nature 122 T1 · 175 papers · 53 members · 72 alumni SaveSG NTUCollege of Computing and Data Science
Studies multi-agent systems, computational game theory and reinforcement learning, with applications to security and e-commerce.
Reasoning & neuro-symbolic AI Reinforcement learning Planning, control & multi-robot systems2026 A tighter bound for reward learning in reinforcement learning from human feedback TMLR 2026 AdverMCTS: Combating pseudo-correctness in code generation via adversarial Monte Carlo tree search ICML 120 T1 · 146 papers · Group size not listed SaveCN ZhejiangCollege of Computer Science and Technology Feb 28
Studies data security and privacy, AI security, and security of IoT, smart devices and connected vehicles.
2026 A Causal Perspective for Enhancing Jailbreak Attack and Defense NDSS 2026 A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directions TKDE 120 T1 · 295 papers · 16 members · 23 alumni SaveCN SJTUSchool of Artificial Intelligence May 31
Works on AI for media and healthcare, including medical foundation models.
Medical imaging & healthcare AI Generative & foundation models Large language models2026 Cross-Modal Coreference Alignment: Enabling Reliable Information Transfer in Omni-LLMs ACL 2026 GenMask: Adapting DiT for Segmentation via Direct Mask Generation CVPR 119 T1 · 180 papers · Group size not listed SaveCN PekingSchool of Computer Science Jan 15
Leads research on database systems and large-scale machine learning systems, including distributed training and data management for AI.
Efficient training & inference Distributed, cloud & edge systems Data management & big data2026 ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch ACL 2026 DARTS: Distribution-Aware Active Rollout Trajectory Shaping for Accelerating LLM Reinforcement Learning ICML 118 T1 · 187 papers · 36 members · 64 alumni SaveSG NTUCollege of Computing and Data Science
Works on computer vision and deep learning, focusing on image and video restoration and enhancement, creative content generation and representation learning.
Video understanding Computational imaging & photography Generative & foundation models2026 4RC: 4D Reconstruction via Conditional Querying Anytime and Anywhere ICML 2026 AITTI: Learning Adaptive Inclusive Token for Text-to-Image Generation IJCV 117 T1 · 130 papers · 12 members · 36 alumni SaveUS UMDComputer Science
Develops machine learning, large-scale optimization and AI methods for biomedical data science and computational health.
Learning theory & optimization Medical image analysis Data management & big data2026 An Ensemble Framework for Unbiased Language ModelWatermarking ICLR 2026 Analyzing and Evaluating Unbiased Language Model Watermark ICLR 117 T1 · 141 papers · Group size not listed Save