US 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.
2026 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 T1197 papers15 members45 alumniCN 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 T1295 papers16 members23 alumniCN PekingInstitute for Artificial Intelligence Jan 15
Researches reinforcement learning, multi-agent systems, AI alignment and embodied intelligence.
2026 A Game-Theoretic Negotiation Framework for Cross-Cultural Consensus * ACL 2026 AdaMAP: Learning Adaptive Multi-Action Prediction with Grounded Dreaming Guidance NeurIPS 105 T1137 papers6 membersCN PekingInstitute for Artificial Intelligence Jan 15
Researches machine learning, causal inference, trustworthy AI and large-model training and inference.
2026 A Relative Error-Based Evaluation Framework of Heterogeneous Treatment Effect Estimators ICLR 2026 Bayesian Causal Experimental Design for CATE Estimation under Noncompliance NeurIPS 88 T1123 papersGroup size not listed SG NUSDepartment of Computer Science Dec 15
Works on probabilistic and data-efficient machine learning, including Bayesian optimisation, Gaussian processes and federated and collaborative learning.
2026 ActiveDPO: Active Direct Preference Optimization for Sample-Efficient Alignment ICLR 2026 Adalina: Adaptive Linear Approximation for the Shapley Value and Beyond ICML 79 T189 papers28 members40 alumniUS UC BerkeleyElectrical Engineering and Computer Sciences Dec 1
Studies AI safety and security, agentic AI and decentralized technology.
2026 A Hands-on Tutorial for Diffusion Language Models with dLLM KDD 2026 AgentSynth: Scalable Task Generation for Generalist Computer-Use Agents ICLR 78 T1112 papersGroup size not listed · 12 alumniSG NTUCollege of Computing and Data Science
Han Yu Associate Professor Works on trustworthy federated learning, ethical AI, crowdsourcing and trust management.
2026 A Black Box Optimization-based Bidding Strategy for Data Consumers in Auction-based Federated Learning KDD 2026 Adaptive guidance for local training in heterogeneous federated learning. , IEEE (2026) TPAMI 78 T1195 papers13 members15 alumniUS StanfordDepartment of Biomedical Data Science Dec 8
James Zou Associate Professor of Biomedical Data Science Develops machine learning methods for biomedicine and studies the reliability of AI models.
2026 A multimodal sleep foundation model for disease prediction. Nature Medicine 2025 4KAgent: Agentic Any Image to 4K Super-Resolution. NeurIPS 74 T1131 papers17 members25 alumniCN TsinghuaDepartment of Computer Science and Technology Feb 28
Hang Su Associate Professor Works on trustworthy and explainable AI, adversarial robustness, computer vision, and reinforcement learning.
2026 A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents TPAMI 2026 AEMIM: Adversarial Examples Meet Masked Image Modeling IJCV 73 T1103 papersGroup size not listed US UCLAComputer Science Dec 15
Develops nonconvex optimization and learning theory, and alignment and reasoning methods for large language models.
2026 Best-of-Majority: Minimax-Optimal Strategy for Pass@k Inference Scaling ICLR 2026 Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action Set ICLR 73 T191 papers9 members60 alumniCN ZhejiangCollege of Control Science and Engineering Feb 28
Works on network optimization and control and industrial IoT security, and on machine learning for industrial data such as label-free multivariate time-series…
2026 Consistency-Aware Spot-Guided Transformer for Accurate and Versatile Point Cloud Registration TPAMI 2026 DiffPBR: Point-Based Rendering via Spatial-Aware Residual Diffusion ICLR 72 T1210 papersGroup size not listed CN ZhejiangCollege of Computer Science and Technology Feb 28
Directs the NESA lab, which works on AI security (adversarial robustness, LLM and generative model safety), data-driven security, software and system…
2026 Angel or Demon: Investigating the Plasticity Interventions' Impact on Backdoor Threats in Deep Reinforcement Learning ICML 2026 APIEcho: Training-less Anomaly Detection via Intra-API Behavioral Comparison for Web Applications S&P 71 T1133 papersGroup size not listed CN ZhejiangSchool of Artificial Intelligence Feb 28
Researches trustworthy AI, privacy-preserving machine learning and recommender systems.
2026 Demystifying the Optimal Fair Classifier in Multi-Class Classification ICML 2026 FedAU^2: Attribute Unlearning for User-Level Federated Recommender Systems with Adaptive and Robust Adversarial Training AAAI 62 T193 papersGroup size not listed US UMDComputer Science
Studies optimization and the reliability of deep learning, including adversarial robustness, watermarking of LLM outputs and diffusion models.
2026 DynaGuard: A Dynamic Guardian Model With User-Defined Policies ICLR 2026 FictionalQA: A Dataset for Studying Memorization and Knowledge Acquisition ICLR 62 T172 papers15 members23 alumniUS UIUCSiebel School of Computing and Data Science Dec 1
Bo Li Abbasi Associate Professor Studies trustworthy machine learning, including adversarial robustness, privacy and safety of AI systems.
2026 Any-Depth Alignment: Unlocking Innate Safety Alignment of LLMs to Any-Depth ICLR 2026 ARMs: Adaptive Red-Teaming Agent against Multimodal Models with Plug-and-Play Attacks ICLR 61 T1102 papers11 members21 alumniUS StanfordComputer Science Dec 8
Sanmi Koyejo Associate Professor of Computer Science Studies trustworthy machine learning, including evaluation, robustness and fairness of AI models.
2026 AbdCTBench: Learning Clinical Biomarker Representations from Abdominal Surface Geometry ICLR 2026 Distributional Machine Unlearning via Selective Data Removal ICLR 58 T1102 papersGroup size not listed CN PekingSchool of Intelligence Science and Technology Jan 15
Researches machine learning and deep learning, including adversarial robustness, graph learning and weakly supervised learning.
2026 A Theoretical Framework for Masked Pretraining (MPT) JMLR 2026 Autoregressive Models Rival Diffusion Models at ANY-ORDER Generation ICLR 57 T160 papers14 members6 alumniDE TUMDepartment of Computer Science
Develops explainable machine learning that combines vision and language so models can justify their decisions, including zero-shot and few-shot learning with…
2026 A Systematic Study of In-the-Wild Model Merging for Large Language Models TMLR 2026 APM: Evaluating Style Personalization in LLMs with Arbitrary Preference Mappings NeurIPS 56 T169 papers14 members18 alumniHK CUHKDepartment of Computer Science and Engineering Dec 1
Works on design automation for microfluidic biochips and VLSI, and on trustworthy machine learning.
2026 KCLNet: Electrically Equivalence-Oriented Graph Representation Learning for Analog Circuits AAAI 2026 Photonic Quantum Computing on Spin Memory Architecture with Tree-Encoded Fusion ISCA 54 T1158 papers18 members3 alumniUS CMUMachine Learning Department Dec 9
Steven Wu Associate Professor Studies trustworthy machine learning, including privacy, AI safety, interactive learning and reinforcement learning.
2026 All Roads Lead to Likelihood: The Value of Reinforcement Learning in Fine-Tuning ICLR 2026 Back to Blackwell: Closing the Loop on Intransitivity in Multi-Objective Preference Fine-Tuning NeurIPS 52 T171 papers8 members16 alumni