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SGNTUCollege of Computing and Data Science

Dacheng TaoDistinguished 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 models

2026A Simple "Motivation" Can Enhance Reinforcement Finetuning of Large Reasoning ModelsICLR
2026AD-FM: Multimodal LLMs for Anomaly Detection via Multi-Stage Reasoning and Fine-Grained Reward OptimizationAAAI

346 T1 · 501 papers · Group size not listed

SGNUSDepartment of Computer ScienceDec 15

Tat-Seng ChuaProfessor

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 & web

2026ADVersa: Abductive Driving Accident Video UnderstandingTPAMI
2026AlphaSteer: Learning Refusal Steering with Principled Null-Space ConstraintICLR

215 T1 · 319 papers · Group size not listed · 37 alumni

HKCUHKDepartment of Information EngineeringDec 1

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

USUT AustinElectrical and Computer EngineeringDec 15

Zhangyang WangAssociate Professor

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 & inference

2026A Physics-Grounded Benchmark for Multi-Agent Dynamics in World ModelsECCV
2026Beyond Test-Time Memory: State-Space Optimal Control for LLM ReasoningICML

165 T1 · 197 papers · 15 members · 45 alumni

HKCUHKDepartment of Information EngineeringDec 1

Wanli OuyangProfessor

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

USUC BerkeleyElectrical Engineering and Computer SciencesDec 1

Sergey LevineAssociate Professor

Develops deep reinforcement learning algorithms for decision making and control in robots.

Reinforcement learning

2026Cliqueformer: Model-Based Optimization with Structured TransformersAAAI
2026Decoupled Q-ChunkingICLR

151 T1 · 164 papers · 23 members · 45 alumni

I want to research in .

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Dacheng TaoDistinguished University Professor

Tat-Seng ChuaProfessor

Dahua LinAssociate Professor

Zhangyang WangAssociate Professor

Wanli OuyangProfessor

Sergey LevineAssociate Professor

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Dacheng TaoDistinguished University Professor

Tat-Seng ChuaProfessor

Dahua LinAssociate Professor

Zhangyang WangAssociate Professor

Wanli OuyangProfessor

Sergey LevineAssociate Professor

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I want to research reinforcement learning in the US.

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Dacheng TaoDistinguished University Professor

Tat-Seng ChuaProfessor

Dahua LinAssociate Professor

Zhangyang WangAssociate Professor

Wanli OuyangProfessor

Sergey LevineAssociate Professor

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I want to research reinforcement learning in the US.

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Dacheng TaoDistinguished University Professor

Tat-Seng ChuaProfessor

Dahua LinAssociate Professor

Zhangyang WangAssociate Professor

Wanli OuyangProfessor

Sergey LevineAssociate Professor

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I want to research in .

I want to research in .