Xiaowen Chu

Xiaowen Chu

Hong Kong Baptist University

H-index: 59

Asia-Hong Kong

About Xiaowen Chu

Xiaowen Chu, With an exceptional h-index of 59 and a recent h-index of 42 (since 2020), a distinguished researcher at Hong Kong Baptist University, specializes in the field of GPU Computing, Machine Learning Systems, Parallel and Distributed Computing, Wireless Networks.

His recent articles reflect a diverse array of research interests and contributions to the field:

BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation

ScheMoE: An Extensible Mixture-of-Experts Distributed Training System with Tasks Scheduling

Vmrnn: Integrating vision mamba and lstm for efficient and accurate spatiotemporal forecasting

FedImpro: Measuring and Improving Client Update in Federated Learning

CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning

ParZC: Parametric Zero-Cost Proxies for Efficient NAS

Multipath Based Congestion Propagation via Information Network Interaction in IIoT

Model Quantization and Hardware Acceleration for Vision Transformers: A Comprehensive Survey

Xiaowen Chu Information

University

Position

Professor Department of Computer Science

Citations(all)

10758

Citations(since 2020)

6667

Cited By

6012

hIndex(all)

59

hIndex(since 2020)

42

i10Index(all)

132

i10Index(since 2020)

91

Email

University Profile Page

Hong Kong Baptist University

Google Scholar

View Google Scholar Profile

Xiaowen Chu Skills & Research Interests

GPU Computing

Machine Learning Systems

Parallel and Distributed Computing

Wireless Networks

Top articles of Xiaowen Chu

Title

Journal

Author(s)

Publication Date

BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation

arXiv preprint arXiv:2402.10631

Dayou Du

Yijia Zhang

Shijie Cao

Jiaqi Guo

Ting Cao

...

2024/2/16

ScheMoE: An Extensible Mixture-of-Experts Distributed Training System with Tasks Scheduling

Shaohuai Shi

Xinglin Pan

Qiang Wang

Chengjian Liu

Xiaozhe Ren

...

2024/4/22

Vmrnn: Integrating vision mamba and lstm for efficient and accurate spatiotemporal forecasting

arXiv preprint arXiv:2403.16536

Yujin Tang

Peijie Dong

Zhenheng Tang

Xiaowen Chu

Junwei Liang

2024/3/25

FedImpro: Measuring and Improving Client Update in Federated Learning

arXiv preprint arXiv:2402.07011

Zhenheng Tang

Yonggang Zhang

Shaohuai Shi

Xinmei Tian

Tongliang Liu

...

2024/2/10

CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning

Proceedings of the AAAI Conference on Artificial Intelligence

Qingsong Yan

Qiang Wang

Kaiyong Zhao

Jie Chen

Bo Li

...

2024/3/24

ParZC: Parametric Zero-Cost Proxies for Efficient NAS

arXiv preprint arXiv:2402.02105

Peijie Dong

Lujun Li

Xinglin Pan

Zimian Wei

Xiang Liu

...

2024/2/3

Multipath Based Congestion Propagation via Information Network Interaction in IIoT

IEEE Transactions on Industrial Informatics

Ruonan Li

Yang Qin

Jie Liu

Xiaowen Chu

Jinlong Li

2024/3/18

Model Quantization and Hardware Acceleration for Vision Transformers: A Comprehensive Survey

Dayou Du

Gu Gong

Xiaowen Chu

2024/5/1

Towards Efficient and Reliable LLM Serving: A Real-World Workload Study

arXiv preprint arXiv:2401.17644

Yuxin Wang

Yuhan Chen

Zeyu Li

Zhenheng Tang

Rui Guo

...

2024/1/31

Benchmarking and Dissecting the Nvidia Hopper GPU Architecture

arXiv preprint arXiv:2402.13499

Weile Luo

Ruibo Fan

Zeyu Li

Dayou Du

Qiang Wang

...

2024/2/21

DTC-SpMM: Bridging the Gap in Accelerating General Sparse Matrix Multiplication with Tensor Cores

Ruibo Fan

Wei Wang

Xiaowen Chu

2024/4/27

Evaluation and optimization of gradient compression for distributed deep learning

Lin Zhang

Longteng Zhang

Shaohuai Shi

Xiaowen Chu

Bo Li

2023/7/18

FedML Parrot: A scalable federated learning system via heterogeneity-aware scheduling on sequential and hierarchical training

arXiv preprint arXiv:2303.01778

Zhenheng Tang

Xiaowen Chu

Ryan Yide Ran

Sunwoo Lee

Shaohuai Shi

...

2023/3/3

All for One and One for All: A Collaborative FL Framework for Generic Federated Learning with Personalized Plug-ins

Lei Shen

Zhenheng Tang

Lijun Wu

Yonggang Zhang

Xiaowen Chu

...

2023/10/13

LF-Net: A Learning-based Frenet Planning Approach for Urban Autonomous Driving

IEEE Transactions on Intelligent Vehicles

Zihan Yu

Meixin Zhu

Kehua Chen

Xiaowen Chu

Xuesong Wang

2023/11/15

Dear: accelerating distributed deep learning with fine-grained all-reduce pipelining

Lin Zhang

Shaohuai Shi

Xiaowen Chu

Wei Wang

Bo Li

...

2023/7/18

GossipFL: A Decentralized Federated Learning Framework with Sparsified and Adaptive Communication

IEEE Transactions on Parallel and Distributed Systems

Zhenheng Tang

Shaohuai Shi

Bo Li

Xiaowen Chu

2022/12/21

FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs

arXiv preprint arXiv:2309.01172

Zhenheng Tang

Yuxin Wang

Xin He

Longteng Zhang

Xinglin Pan

...

2023/9/3

Dissecting the Runtime Performance of the Training, Fine-tuning, and Inference of Large Language Models

arXiv preprint arXiv:2311.03687

Longteng Zhang

Xiang Liu

Zeyu Li

Xinglin Pan

Peijie Dong

...

2023/11/7

Improving Fairness in Coexisting 5G and Wi-Fi Network on Unlicensed Band with URLLC

Haodong Zou

Yupeng Li

Xiaowen Chu

Changfu Xu

Tian Wang

2023/6/19

See List of Professors in Xiaowen Chu University(Hong Kong Baptist University)

Co-Authors

H-index: 92
Xiang-Yang Li (李向阳)

Xiang-Yang Li (李向阳)

University of Science and Technology of China

H-index: 73
Jiangchuan Liu

Jiangchuan Liu

Simon Fraser University

H-index: 58
Jianliang Xu (徐建良)

Jianliang Xu (徐建良)

Hong Kong Baptist University

H-index: 47
Zongpeng Li

Zongpeng Li

Wuhan University

H-index: 22
Kaiyong Zhao

Kaiyong Zhao

Hong Kong Baptist University

H-index: 15
Qiang Wang

Qiang Wang

Hong Kong Baptist University

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