CN PekingSchool of Computer Science Jan 15
Boxin Shi Associate Professor with Tenure Leads the Camera Intelligence Lab, researching computational photography, neuromorphic vision sensors and computer vision.
2026 240FPS stereo vision from monocular mixed spikes CVPR 2026 340 FPS reflection-free video from spikes modulated by a rapidly rotating polarizer ECCV 125 T1138 papers26 members21 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 alumniCN PekingSchool of Computer Science Jan 15
Leads research on visual information processing and neuromorphic vision, including the spike camera and spiking neural networks.
2026 3D Gaussian Splatting from Unposed Spike Stream CVPR 2026 Can Protective Watermarking Safeguard the Copyright of 3D Gaussian Splatting? AAAI 107 T1155 papersGroup size not listed SG NTUCollege of Computing and Data Science
Yu Cheng Nanyang Associate Professor (NRF) Works on efficient and sparse model architectures, model compression and multimodal learning.
2026 AdaReasoner: Dynamic Tool Orchestration for Iterative Visual Reasoning ICLR 2026 Characterizing, Evaluating, and Optimizing Complex Reasoning ICML 105 T1118 papers42 membersCN ZhejiangCollege of Computer Science and Technology Feb 28
Studies brain-machine interfaces, brain-machine hybrid intelligence and neuromorphic computing, along with computer vision topics such as face recognition.
2026 ActivityForensics: A Comprehensive Benchmark for Localizing Manipulated Activity in Videos CVPR 2026 Cost-Efficient Open Vocabulary 3D Scene Understanding Based on Semantic Probability TIP 66 T1148 papersGroup size not listed HK 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 StanfordComputer Science Dec 8
Christopher Ré Professor of Computer Science Leads Hazy Research on efficient foundation model architectures, data-centric AI and ML systems.
2026 An Information Theoretic Perspective on Agentic System Design ICLR 2026 Cartridges: Lightweight and general-purpose long context representations via self-study ICLR 49 T157 papers11 members29 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 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 US 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 UIUCSiebel School of Computing and Data Science Dec 1
Hao Peng Assistant Professor Studies natural language processing and large language models, including efficient architectures and reasoning.
2026 Countdown-Code: A Testbed for Studying the Emergence and Generalization of Reward Hacking in RLVR EMNLP 2026 Do We Need Adam? Surprisingly Strong and Sparse Reinforcement Learning with SGD in LLMs ICML 39 T161 papers11 membersCN ZhejiangCollege of Computer Science and Technology Feb 28
Develops spiking neural networks, neuromorphic computing and brain-inspired cognitive models, including neuromorphic hardware and robotics applications.
2026 Dynamic-Static Decomposition for Novel View Synthesis of Dynamic Scenes with Spiking Neurons CVPR 2026 eRetinexGS: Retinex Modeling for Low-Light Scene Enhancement via Event Streams and 3D Gaussian Splatting CVPR 38 T192 papersGroup size not listed US 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 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 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 alumniUS CMULanguage Technologies Institute Dec 9
Studies machine learning for text, graphs and time series, including LLM reasoning and neural architecture search.
2026 CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization AAAI 2026 CoMind: Toward Community-Driven Agents for Machine Learning Engineering ICLR 32 T152 papersGroup size not listed US UT AustinComputer Science Dec 15
Aditya Akella Professor, Regents Chair in Computer Sciences #1 Builds programmable networks, programmable NICs and hardware acceleration, and systems for big data and machine learning workloads such as serverless computing.
2026 Canopy: Property-Driven Learning for Congestion Control EuroSys 2026 Express Lane to Efficiency and Reliability: Multi-Dimensional Control in Meta's Express Backbone Network NSDI 31 T142 papersGroup size not listed US UCSDComputer Science and Engineering Dec 15
Designs energy-efficient computing systems, including hyperdimensional computing and processing-in-memory accelerators for learning.
2026 Benchmarking Scientific Understanding and Reasoning for Video Generation Using VideoScience-Bench ECCV 2026 CCSwitch: A Scalable Data Plane for Non-Blocking In-Network Collective Communication SIGCOMM 27 T1119 papers29 members132 alumniCH ETH ZurichInformation Technology and Electrical Engineering (D-ITET)
Designs energy-efficient hardware for machine learning, including the open-source PULP RISC-V platform, quantized neural network accelerators and edge AI…
2026 Optimal Brain Restoration for Joint Quantization and Sparsification of LLMs ICLR 2026 S-CEReBrO: Breaking the Memory Barrier in Continuous EEG Monitoring MICCAI 26 T1278 papersGroup size not listed