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 alumniSG NUSDepartment of Computer Science Dec 15
Builds data systems and infrastructure for large language models and agentic AI, federated learning and graph analytics on GPUs, TPUs and FPGAs.
2026 'They've Stolen My GPL-Licensed Model!': Toward Standardized and Transparent Model Licensing WWW 2026 ABFlow: Alert Bursting Flow Query in Streaming Temporal Flow Networks SIGMOD 110 T1134 papers7 members12 alumniUS UC BerkeleyElectrical Engineering and Computer Sciences Dec 1
Builds cloud computing and AI systems, such as Ray, vLLM and Sky Computing.
2026 Agentix: An Efficient Serving Engine for LLM Agents as General Programs NSDI 2026 BlendServe: Optimizing Offline Inference with Resource-Aware Batching ASPLOS 87 T1103 papers19 members57 alumniCN SJTUSchool of Computer Science May 31
Works on parallel and cloud computing and compilers, with recent work on accelerating LLMs through hardware-friendly quantization (OliVe) and deep learning…
2026 Accelerating MoE with Dynamic In-Switch Computing on Multi-GPUs ISCA 2026 Arena: Efficiently Training Large Models via Dynamic Scheduling and Adaptive Parallelism Co-Design EuroSys 74 T1217 papersGroup size not listed SG NUSDepartment of Computer Science Dec 15
Yang You NUS Presidential Young Professor Leads the HPC-AI Lab on scaling deep neural network training on distributed systems, including the LAMB optimiser.
2026 ASCIIEval: Benchmarking Models' Visual Perception in Text Strings via ASCII Art ICLR 2026 DyDiT++: Diffusion Transformers With Timestep and Spatial Dynamics for Efficient Visual Generation TPAMI 64 T185 papers15 members29 alumniUS CMUElectrical and Computer Engineering Dec 9
Designs efficient algorithms and systems for training and serving large language models, including sparsity and long-context inference.
2026 AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs ↗ NeurIPS 2026 CamoDocs: A Poisoning Attack Against Retrieval-Augmented Language Models Using Camouflaged Documents ↗ EMNLP 51 T154 papers5 members13 alumniUS MITElectrical Engineering and Computer Science Dec 1
Song Han Associate Professor Develops efficient deep learning, including model compression, quantization, and hardware-software co-design for LLM inference.
2026 DeltaQuant: 4-bit Video Diffusion Models with Spatiotemporal Delta Smoothing CVPR 2026 Fast-dLLM v2: Efficient Block-Diffusion Large Language Model ICLR 46 T152 papers7 members13 alumniCN SJTUSchool of Artificial Intelligence May 31
Works on machine learning systems and data management, including the Hetu distributed deep learning system.
2026 BOute: Cost-Efficient LLM Serving with Heterogeneous LLMs and GPUs via Multi-Objective Bayesian Optimization MLSys 2026 Cascadia: An Efficient Cascade Serving System for Large Language Models ICLR 45 T156 papersGroup size not listed US UCSDComputer Science and Engineering Dec 15
Builds programming systems and GPU-optimized libraries, with work on compilers for machine learning and quantum computing.
2026 AMMA: A Multi-Chiplet Memory-Centric Architecture for Low-Latency 1M Context Attention Serving MICRO 2026 AsymHP: Load-Balanced Sparse Attention for Video Diffusion Transformers NeurIPS 44 T155 papers12 members15 alumniUS CMUComputer Science Department Dec 9
Builds machine learning systems and compilers for deploying models efficiently across hardware.
2026 AdaServe: Accelerating Multi-SLO LLM Serving with SLO-Customized Speculative Decoding EuroSys 2025 APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding ICLR 43 T145 papers48 members31 alumniUS Georgia TechSchool of Electrical and Computer Engineering Dec 15
Designs hardware accelerators and interconnection networks for machine learning.
2026 Compositional AI Beyond LLMs: System Implications of Neuro-Symbolic-Probabilistic Architectures ASPLOS 2026 Demystifying AI Platform Design for Distributed Inference of Next-Generation LLM Models ICCAD 43 T187 papersGroup size not listed CN TsinghuaDepartment of Computer Science and Technology Feb 28
Ju Ren Associate Professor Works on on-device and edge intelligence, including on-device large-model inference, memory systems, and privacy and security of large models.
2026 Accelerating Graph-Based RAG Retrieval via Locality-Aware Device–Cloud Collaboration KDD 2026 AdamO: A Collapse-Suppressed Optimizer for Offline RL ICML 42 T180 papersGroup size not listed CN ZhejiangCollege of Computer Science and Technology Feb 28
Works on efficient deep learning, including model compression, efficient transformers and large-model training and inference.
2026 An Empirical Study on How Video-LLMs Answer Videos Questions CVPR 2026 BLADE: Block-Sparse Attention Meets Step Distillation for Efficient Video Generation ICLR 41 T154 papers22 members7 alumniUS UIUCElectrical and Computer Engineering Dec 1
Studies computer architecture and systems for AI, including energy-efficient processor, memory and network architectures for machine learning.
2026 AMG: AMX-GPU cooperative acceleration of billion-scale ANNS via GEMM reformulation MICRO 2026 ARC: adaptive reconfigurable CXL hotness monitoring MICRO 40 T183 papers25 members22 alumniUS UT AustinComputer Science Dec 15
Works on efficient machine learning and ML systems for generative models and robotics, such as fast diffusion and 3D perception.
2026 CaptionQA: Is Your Caption as Useful as the Image Itself? CVPR 2026 QuantV2X: A Fully Quantized Multi-agent System for Cooperative Perception ECCV 38 T145 papers5 membersUS Georgia TechSchool of Computer Science Dec 15
Leads the EIC Lab on efficient machine learning through co-design of algorithms, accelerators and chips.
2025 A Unified Accelerator for Real-Time Rendering Across Diverse Neural Renderers HPCA 2025 Early-Bird Diffusion: Investigating and Leveraging Timestep-Aware Early-Bird Tickets in Diffusion Models for Efficient Training CVPR 36 T145 papers9 members15 alumniCN SJTUSchool of Computer Science May 31
Bo Chen Tenured Track Associate Professor Builds networked and machine learning systems for immersive computing, with device-edge-cloud collaboration for visual, XR and 3D content applications.
2026 DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark KDD 2026 Modular Representation Compression: Adapting LLM Representations for Efficient and Effective Recommendation SIGIR 35 T152 papersGroup size not listed CN TsinghuaInstitute for Interdisciplinary Information Sciences (IIIS) Feb 28
Kaisheng Ma Tenured associate professor Works on AI chiplets and accelerators, AI algorithms for self-driving, and implanted systems and neural dust.
2026 ES-dLLM: Efficient Inference for Diffusion Large Language Models by Early-Skipping ICLR 2026 FBS: Accelerating CNN Inference over RNS-CKKS with Fewer Bootstrapping Sparsity DAC 32 T147 papers15 members0 alumniUS UC BerkeleyElectrical Engineering and Computer Sciences Dec 1
Builds data and AI systems, including Apache Spark, MLflow and ColBERT, and LLM programming frameworks like DSPy.
2026 Can QPP Choose the Right Query Variant? Evaluating Query Variant Selection for RAG Pipelines SIGIR 2026 EXP-Bench: Can AI Conduct AI Research Experiments? ICLR 32 T167 papers15 members16 alumniUS UIUCSiebel School of Computing and Data Science Dec 1
Studies efficient machine learning systems, including model compression and training and inference on parallel hardware.
2026 A Goal Without a Plan Is Just a Wish: Efficient and Effective Global Planner Training for Long-Horizon Agent Task ACL 2026 AutoSP: Unlocking Long-Context LLM Training Via Compiler-Based Sequence Parallelism ICLR 32 T152 papers15 members10 alumni