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.
2026 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 T1501 papersGroup size not listed CN 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.
2026 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 T1187 papers36 members64 alumniUS UMDComputer Science
Develops machine learning, large-scale optimization and AI methods for biomedical data science and computational health.
2026 An Ensemble Framework for Unbiased Language ModelWatermarking ICLR 2026 Analyzing and Evaluating Unbiased Language Model Watermark ICLR 117 T1141 papersGroup size not listed US UIUCSiebel School of Computing and Data Science Dec 1
Studies natural language processing, including information extraction, knowledge-enhanced language models and multimedia multilingual understanding.
2026 Advancing Creative Physical Intelligence in Large Multimodal Models NeurIPS 2026 Agentic Reasoning for Large Language Models: A Survey TMLR 114 T1258 papers17 members135 alumniCN SJTUSchool of Computer Science May 31
Guihai Chen Distinguished Professor Works on computer networks, wireless sensor networks and distributed computing, and leads the Institute of Advanced Network whose recent work spans data…
2026 Accelerating Complex Event Recognition via Range Bitmap-Based Indexes With Window-Wise Filtering TKDE 2026 AdaFuse: Accelerating Dynamic Adapter Inference via Token-Level Pre-Gating and Fused Kernel Optimization AAAI 105 T1291 papersGroup size not listed US UIUCSiebel School of Computing and Data Science Dec 1
Studies data mining and text mining, including knowledge graph construction, information network analysis and mining with large language models.
2026 Condition-Gated Reasoning for Context-Dependent Biomedical Question Answering KDD 2026 CoRank: LLM-Based Compact Reranking with Document Features for Scientific Retrieval KDD 95 T1127 papers14 members151 alumniUS UIUCSiebel School of Computing and Data Science Dec 1
Studies large-scale data mining and machine learning on graphs, including graph neural networks and network analysis.
2026 A Hands-on Tutorial for Diffusion Language Models with dLLM KDD 2026 Certified Defense on the Fairness of Graph Neural Networks KDD 92 T1123 papers14 members28 alumniCN TsinghuaDepartment of Computer Science and Technology Feb 28
Works on database systems, human-machine collaborative crowd computing, spatio-temporal data processing, and the fusion of AI and databases.
2026 A Topology-Aware Localized Update Strategy for Graph-Based ANN Index VLDB 2026 AgenticScholar: Agentic Data Management with Pipeline Orchestration for Scholarly Corpora SIGMOD 84 T1102 papers15 members32 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 alumniSG NTUCollege of Computing and Data Science
Works on computer vision and image and video analytics, including visual intelligence with deep learning.
2026 3D-Aware VLMs with Implicit and Explicit Geometries ECCV 2026 Boosting Reasoning in Large Multimodal Models via Activation Replay CVPR 77 T1100 papersGroup size not listed US 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 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 SJTUSchool of Computer Science May 31
Yong Yu Distinguished Professor Leads the APEX Data & Knowledge Management Lab, working on machine learning, data mining and recommender systems.
2026 A Comprehensive Survey of Process Reward Models: Data Generation, Model Construction, and Usage ACL 2026 A Survey of Large Language Model-Based Search Agents ACL 69 T1110 papersGroup size not listed CN PekingSchool of Electronic and Computer Engineering (Shenzhen Graduate School) Jan 15
Leads the ADSP lab, researching computational audition, intelligent human-machine dialogue and data analytics.
2026 BrushEdit: All-in-One Image Inpainting and Editing TPAMI 2026 IC-Custom: Diverse Image Customization via In-Context Learning ICLR 63 T191 papersGroup size not listed US 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 alumniCH ETH ZurichComputer Science (D-INFK)
Leads the Data Analytics Lab, studying deep learning theory, the optimization and generalization of neural networks, and natural language understanding with…
2025 Autoregressive Distillation of Diffusion Transformers CVPR 2025 Avoiding spurious sharpness minimization broadens applicability of SAM ICML 58 T179 papers7 members4 alumniCN ZhejiangCollege of Computer Science and Technology Feb 28
Huan Li ZJU 100-talent Program Professor Researches data-centric, resource-efficient and scalable AI, building on earlier work in data management.
2026 AdaCTSi: Adaptive Correlated Time Series Imputation for Changing Environments TKDE 2026 AgentTailor: Dual-Gate LLM-Assisted Re-ranking for Personalized Long-Tail Recommendation NeurIPS 55 T178 papers25 members7 alumniSG NTUCollege of Computing and Data Science
Works on computer graphics, geometric modeling and processing, and computer-aided design.
2026 AquaSplatting: A Hybrid 3D Representation for Robust Underwater Scene Reconstruction via Dual-Branch Rendering AAAI 2026 Denoising-GS: Gaussian Splatting with Spatial-aware Denoising ECCV 54 T177 papersGroup size not listed SG NTUCollege of Computing and Data Science
Researches geospatial, textual and mobility data management, large-scale data mining and recommendation.
2026 ARCADE: A Real-Time Data System for Hybrid and Continuous Query Processing across Diverse Data Modalities ICDE 2026 Are Learned DBMS Components Robust to Workload Drift? SIGMOD 50 T166 papers12 members33 alumniUS UIUCSiebel School of Computing and Data Science Dec 1
Develops AI for healthcare, including deep learning on electronic health records and clinical trial optimization.
2026 Act as you think: Reinforcing Consistent Reasoning in Medical Visual Question Answering ACL 2026 ConfHit: Conformal Generative Design with Oracle-Free Guarantees ICLR 49 T171 papersGroup size not listed · 0 alumni