A Captcha Design Based on Visual Reasoning. - Haipeng Wang; Feng Zheng; Zhuoming Chen; Yi Lu; Jing Gao; Renjia Wei (ICASSP, 2018)

Distributed Robust Optimal Filter Design Over Sensor Networks With Data Packet Dropouts. - Yu Feng 002; Zhuoming Chen (CDC, 2019)

Distributed ℋ∞ Gaussian Consensus Filtering for Discrete-Time Systems over Lossy Sensor Networks. - Yu Feng 002; Zhuoming Chen; Xiang Chen 011 (SIAM J. Control. Optim., 2020)

A Game Approach to Distributed Robust Optimal Filtering With Consensus Through Multiple Sensors: Theory and Application. - Yu Feng 002; Zhuoming Chen (IEEE Trans. Ind. Electron., 2020)

LFMB-3DFB: A Large-scale Finger Multi-Biometric Database and Benchmark for 3D Finger Biometrics. - Weili Yang; Zhuoming Chen; Junduan Huang; Linfeng Wang; Wenxiong Kang (IJCB, 2021)

Effects of Electromyographic Biofeedback Therapy Combined with Comprehensive Rehabilitation Training on Lower Limb Motor Function in Patients with Stroke Recovery. - Xingping Yang; Zhao Gao; Yu Zhou; Zhuoming Chen; Yihua Shi; Mingxing Zhang; Xuming Huang (J. Medical Imaging Health Informatics, 2021)

Mutual-Collision-Avoidance Scheme Synthesized by Neural Networks for Dual Redundant Robot Manipulators Executing Cooperative Tasks. - Zhijun Zhang 003; Lunan Zheng; Zhuoming Chen; Lingdong Kong; Hamid Reza Karimi (IEEE Trans. Neural Networks Learn. Syst., 2021)

A Dataset for Falling Risk Assessment of the Elderly using Wearable Plantar Pressure. - Guohua Hu; Jianxiu Jin; Zhen Song; Shibin Wu; Lin Shu; Junan Xie; Jianlin Ou; Zhuoming Chen; Xiangmin Xu (BIBM, 2022)

Multi-view Finger Vein Recognition Using Attention-Based MVCNN. - Weili Yang; Junduan Huang; Zhuoming Chen; Junhong Zhao; Wenxiong Kang (CCBR, 2022)

Quantized Training of Gradient Boosting Decision Trees. - Yu Shi; Guolin Ke; Zhuoming Chen; Shuxin Zheng; Tie-Yan Liu (NeurIPS, 2022)

A new approach for daily life Blood-Pressure estimation using smart watch. - Jiayu He; Jianlin Ou; An He; Lin Shu; Tao Liu; Ruowen Qu; Xiangmin Xu; Zhuoming Chen; Yifeng Yan (Biomed. Signal Process. Control., 2022)

MhNet: Multi-scale spatio-temporal hierarchical network for real-time wearable fall risk assessment of the elderly. - Shibin Wu; Jianlin Ou; Lin Shu; Guohua Hu; Zhen Song; Xiangmin Xu; Zhuoming Chen (Comput. Biol. Medicine, 2022)

Quark: A Gradient-Free Quantum Learning Framework for Classification Tasks. - Zhihao Zhang; Zhuoming Chen; Heyang Huang; Zhihao Jia (CoRR, 2022)

A Novel System and Experimental Study for 3D Finger Multibiometrics. - Weili Yang; Zhuoming Chen; Junduan Huang; Wenxiong Kang (IEEE Trans. Biom. Behav. Identity Sci., 2022)

SpecInfer: Accelerating Generative LLM Serving with Speculative Inference and Token Tree Verification. - Xupeng Miao; Gabriele Oliaro; Zhihao Zhang 001; Xinhao Cheng; Zeyu Wang; Rae Ying Yee Wong; Zhuoming Chen; Daiyaan Arfeen; Reyna Abhyankar; Zhihao Jia (CoRR, 2023)

GNNPipe: Accelerating Distributed Full-Graph GNN Training with Pipelined Model Parallelism. - Jingji Chen; Zhuoming Chen; Xuehai Qian (CoRR, 2023)

SpecInfer: Accelerating Large Language Model Serving with Tree-based Speculative Inference and Verification. - Xupeng Miao; Gabriele Oliaro; Zhihao Zhang 001; Xinhao Cheng; Zeyu Wang; Zhengxin Zhang; Rae Ying Yee Wong; Alan Zhu 001; Lijie Yang 003; Xiaoxiang Shi; Chunan Shi; Zhuoming Chen; et al. (ASPLOS (3), 2024)

Acoustic changes in speech prosody produced by children with autism after robot-assisted speech training. - Si Chen; Bruce Xiao Wang; Yitian Hong; Fang Zhou; Angel Chan; Po-yi Tang; Bin Li 003; Chunyi Wen; James Cheung; Yan Liu; Zhuoming Chen (INTERSPEECH, 2024)

Sequoia: Scalable and Robust Speculative Decoding. - Zhuoming Chen; Avner May; Ruslan Svirschevski; Yuhsun Huang; Max Ryabinin; Zhihao Jia; Beidi Chen (NeurIPS, 2024)

Mini-Sequence Transformers: Optimizing Intermediate Memory for Long Sequences Training. - Cheng Luo; Jiawei Zhao; Zhuoming Chen; Beidi Chen; Animashree Anandkumar (NeurIPS, 2024)

SpecExec: Massively Parallel Speculative Decoding For Interactive LLM Inference on Consumer Devices. - Ruslan Svirschevski; Avner May; Zhuoming Chen; Beidi Chen; Zhihao Jia; Max Ryabinin (NeurIPS, 2024)

SIRIUS : Contexual Sparisty with Correction for Efficient LLMs. - Yang Zhou; Zhuoming Chen; Zhaozhuo Xu; Victoria Lin 002; Beidi Chen (NeurIPS, 2024)

Sequoia: Scalable, Robust, and Hardware-aware Speculative Decoding. - Zhuoming Chen; Avner May; Ruslan Svirschevski; Yuhsun Huang; Max Ryabinin; Zhihao Jia; Beidi Chen (CoRR, 2024)

TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding. - Hanshi Sun; Zhuoming Chen; Xinyu Yang 002; Yuandong Tian; Beidi Chen (CoRR, 2024)

MINI-SEQUENCE TRANSFORMER: Optimizing Intermediate Memory for Long Sequences Training. - Cheng Luo; Jiawei Zhao; Zhuoming Chen; Beidi Chen; Anima Anandkumar (CoRR, 2024)

MagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative Decoding. - Jian Chen; Vashisth Tiwari; Ranajoy Sadhukhan; Zhuoming Chen; Jinyuan Shi; Ian En-Hsu Yen; Beidi Chen (CoRR, 2024)

Sirius: Contextual Sparsity with Correction for Efficient LLMs. - Yang Zhou; Zhuoming Chen; Zhaozhuo Xu; Victoria Lin 002; Beidi Chen (CoRR, 2024)

Cerebellar representation during phonetic processing in tonal and non-tonal language speakers: An ALE meta-analysis. - Xiaotong Zhang; Zhaowen Zhou; Ying Wang; Jinyi Long; Zhuoming Chen (NeuroImage, 2024)

Mithril: A Scalable System for Deep GNN Training. - Jingji Chen; Zhuoming Chen; Xuehai Qian (HPCA, 2025)

MagicPIG: LSH Sampling for Efficient LLM Generation. - Zhuoming Chen; Ranajoy Sadhukhan; Zihao Ye; Yang Zhou; Jianyu Zhang; Niklas Nolte; Yuandong Tian; Matthijs Douze; Léon Bottou; Zhihao Jia; Beidi Chen (ICLR, 2025)

MagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative Decoding. - Ranajoy Sadhukhan; Jian Chen; Zhuoming Chen; Vashisth Tiwari; Ruihang Lai; Jinyuan Shi; Ian En-Hsu Yen; Avner May; Tianqi Chen; Beidi Chen (ICLR, 2025)

AdaServe: SLO-Customized LLM Serving with Fine-Grained Speculative Decoding. - Zikun Li; Zhuofu Chen; Remi Delacourt; Gabriele Oliaro; Zeyu Wang; Qinghan Chen; Shuhuai Lin; April Yang; Zhihao Zhang 001; Zhuoming Chen; Sean Lai; Xupeng Miao; et al. (CoRR, 2025)

CAT Pruning: Cluster-Aware Token Pruning For Text-to-Image Diffusion Models. - Xinle Cheng; Zhuoming Chen; Zhihao Jia (CoRR, 2025)

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? - Yang Zhou; Hongyi Liu; Zhuoming Chen; Yuandong Tian; Beidi Chen (CoRR, 2025)

Kinetics: Rethinking Test-Time Scaling Laws. - Ranajoy Sadhukhan; Zhuoming Chen; Haizhong Zheng; Yang Zhou; Emma Strubell; Beidi Chen (CoRR, 2025)