SG NTUCollege of Computing and Data Science
Studies multi-agent systems, computational game theory and reinforcement learning, with applications to security and e-commerce.
2026 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 T1146 papersGroup size not listed CN SJTUSchool of Computer Science May 31
Fan Wu Distinguished Professor Works on mobile intelligence such as on-device machine learning and crowdsensing, algorithmic network economics and data pricing and protection.
2026 A Creator-Aware Recommendation System for Content Platforms WWW 2026 Auction design with ex post ROI constraints Artificial Intelligence 86 T1161 papers6 membersCN SJTUSchool of Artificial Intelligence May 31
Works on collaborative perception for autonomous driving, multi-agent systems and graph signal processing.
2026 AgentFold: Long-Horizon Web Agents with Proactive Context Folding ICLR 2026 Hierarchical Spherical CNNs With Lifting-Based Adaptive Wavelets for Pooling and Unpooling TPAMI 60 T183 papersGroup size not listed US CMUComputer Science Department Dec 9
Tuomas Sandholm Angel Jordan University Professor of Computer Science Studies AI for strategic reasoning, including game solving, mechanism design and market optimization.
2026 Convergence of Regret Matching in Potential Games and Constrained Optimization ICLR 2026 Efficient representations for team and imperfect-recall equilibrium computation Artificial Intelligence 50 T155 papers4 members43 alumniUS UCLAComputer Science Dec 15
Directs the StarAI lab on probabilistic circuits, tractable probabilistic reasoning and neurosymbolic learning.
2026 Breaking the Factorization Barrier in Diffusion Language Models ICML 2026 CoTs as Probabilistic Programs: A Programmatic View of Thinking Step-by-Step in Language Models NeurIPS 49 T170 papers7 members23 alumniSG NTUCollege of Computing and Data Science
Works on user modeling, personalized recommendation and trust modeling in multi-agent systems.
2026 Adaptive and Representative Multi-Interest Modeling for Recommendation with Large Language Model ACL 2026 Beyond a Single Story: Meta-Reviewing Sparse and Incomplete User-generated Contents for Recommendation EMNLP 40 T177 papers10 members35 alumniCN SJTUSchool of Computer Science May 31
Works at the intersection of economics, learning and systems, including on-device AI agents and strategic AI agents.
2026 A Creator-Aware Recommendation System for Content Platforms WWW 2026 Budget-Constrained Federated Bandits for Mobile Applications INFOCOM 36 T162 papers14 membersGB CambridgeEngineering - Information Engineering Division Dec 8
Combines control theory and formal verification to provide formal guarantees for increasingly complex AI agents, drawing on decision theory, logic and…
2026 Best-Effort Policies for Robust Markov Decision Processes AAAI 2026 Efficient and Scalable Multi-Agent Traffic Signal Control via Mean-Field Approximation in Reinforcement Learning ICCAD 35 T192 papersGroup size not listed CN PekingInstitute for Artificial Intelligence Jan 15
Researches machine learning, neuro-symbolic integration and reinforcement learning with interpretable model representations.
2026 Can Language Models Discover Scaling Laws? ICLR 2026 CREATE: Cross-Layer Resilience Characterization and Optimization for Efficient yet Reliable Embodied AI Systems ASPLOS 32 T146 papersGroup size not listed US CMURobotics Institute Dec 9
Studies multi-agent path finding and planning for large teams of robots.
2026 BTPG-max: Achieving Local Maximal Bidirectional Pairs for Bidirectional Temporal Plan Graphs AAAI 2026 Conflict-Based Search as a Protocol: A Multi-Agent Motion Planning Protocol for Heterogeneous Agents, Solvers, and Independent Tasks ICRA 28 T155 papers9 members3 alumniCN PekingSchool of Computer Science Jan 15
Researches algorithmic game theory, computational economics, blockchain and online algorithms, including learning in games.
2026 Automated Deterministic Auction Design with Objective Decomposition WWW 2026 Learning Truthful Mechanisms without Discretization AAMAS 28 T159 papersGroup size not listed CH EPFLInstitute of Electrical and Micro Engineering (IEM, School of Engineering STI) Dec 1
Leads the Adaptive Systems Laboratory, studying adaptation and learning over networks, including distributed and multi-agent learning.
2026 Causal influences over social learning networks JMLR 2026 Decentralized learning of decision models for classification with dependent agents ICASSP 27 T180 papers3 members33 alumniGB OxfordDepartment of Computer Science Jan 7
Michael Wooldridge Ashall Professor of Foundations of Artificial Intelligence Studies multi-agent systems, including game-theoretic and logical foundations of interacting AI systems.
2026 Fair Coordination in Strategic Scheduling AAMAS 2026 Top 10 Most Influential Papers in Artificial Intelligence Since 2000 IEEE Intell. Syst. 26 T146 papersGroup size not listed · 9 alumniUS MITElectrical Engineering and Computer Science Dec 1
Asuman Ozdaglar EECS Department Head; MIT Schwarzman College of Computing Deputy Dean of Academics; MathWorks Professor Studies optimization, game theory, and machine learning, including distributed optimization, game-theoretic learning, and multi-agent reinforcement learning.
2026 Beyond RLHF and NLHF: Population-Proportional Alignment under an Axiomatic Framework ICLR 2026 Computing Equilibrium beyond Unilateral Deviation ICLR 25 T131 papers6 members21 alumniUS CMUSoftware and Societal Systems Department Dec 9
Fei Fang Associate Professor Combines machine learning and game theory for multi-agent decision-making, applied to security, sustainability and mobility under the AI for social good theme.
2026 Safe Multi-Agent Reinforcement Learning with Natural Language Constraints AAAI 2026 Strategic Planning and Rationalizing on Trees Make LLMs Better Debaters ICLR 25 T138 papers4 members10 alumniCN SJTUSchool of Artificial Intelligence May 31
Works on reinforcement learning and multi-agent systems.
2026 Offline Fictitious Self-Play for Competitive Games AAAI 2026 SafeLab: An Interactive High-Fidelity Benchmark for Embodied Safety in Scientific Robotics ICML 25 T143 papersGroup size not listed SG NTUCollege of Computing and Data Science
Works on neurosymbolic AI for natural language understanding, including sentiment analysis, commonsense reasoning and sentic computing.
2026 Learning Structured Emotional Dynamics in Latent Space via Trajectory Modeling and Controlled Transitions EMNLP 2026 OmniSapiens: A Foundation Model for Social Behavior Processing via Heterogeneity-aware Relative Policy Optimization ICML 22 T175 papers18 members26 alumniGB OxfordDepartment of Computer Science Jan 7
Studies knowledge representation, reasoning about actions, generalized planning and synthesis from temporal specifications in AI.
2026 Best−Effort Policies for Robust Markov Decision Processes AAAI 2026 Good−for−MDP State Reduction for Stochastic LTL Planning AAAI 21 T157 papers2 membersUS UIUCSiebel School of Computing and Data Science Dec 1
Studies graph machine learning and LLM agents, including graph neural networks and multi-agent LLM systems.
2025 Beyond Facts: Evaluating Intent Hallucination in Large Language Models ACL 2025 ConsistencyChecker: Tree-based Evaluation of LLM Generalization Capabilities ACL 21 T123 papersGroup size not listed SG NTUCollege of Computing and Data Science
Works on autonomous agents, multi-agent interaction and reinforcement learning.
2026 From Autonomy to Alliance: Robotic Foundation Models Must Learn With Us, Not Just For Us Science Robotics 2026 NashPG: A Policy Gradient Method with Iteratively Refined Regularization for Finding Nash Equilibria TMLR 21 T149 papers8 members16 alumni