Xiaowen Chu

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 146

Top Venues

CoRR

INFOCOM

ICDCS

IEEE Trans. Parallel Distributed Syst.

Publications

Shengyuan Ye, Jiangsu Du, Liekang Zeng, Wenzhong Ou, Xiaowen Chu, Yutong Lu, Xu Chen
Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference. INFOCOM (2024)
Penglei Sun, Yaoxian Song, Xinglin Pan, Peijie Dong, Xiaofei Yang, Qiang Wang, Zhixu Li, Tiefeng Li, Xiaowen Chu
Multi-Task Domain Adaptation for Language Grounding with 3D Objects. CoRR (2024)
Xinglin Pan, Wenxiang Lin, Shaohuai Shi, Xiaowen Chu, Weinong Sun, Bo Li
Parm: Efficient Training of Large Sparsely-Activated Models with Dedicated Schedules. INFOCOM (2024)
Ruibo Fan, Wei Wang, Xiaowen Chu
DTC-SpMM: Bridging the Gap in Accelerating General Sparse Matrix Multiplication with Tensor Cores. ASPLOS (3) (2024)
Xiang Li, Yongqi Zhang, Lei Chen, Jia Li, Xiaowen Chu
A decomposition-ensemble-integration framework for carbon price forecasting. Expert Syst. Appl. 257 (2024)
Peijie Dong, Lujun Li, Zhenheng Tang, Xiang Liu, Xinglin Pan, Qiang Wang, Xiaowen Chu
Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language Models. CoRR (2024)
Zhenheng Tang, Yonggang Zhang, Shaohuai Shi, Xinmei Tian, Tongliang Liu, Bo Han, Xiaowen Chu
FedImpro: Measuring and Improving Client Update in Federated Learning. CoRR (2024)
Zhiyong Lin, Hai Liu, Xiaowen Chu, Yiu-Wing Leung, Ivan Stojmenovic
Constructing Connected-Dominating-Set with Maximum Lifetime in Cognitive Radio Networks. IEEE Trans. Computers 73 (4) (2024)
Xinglin Pan, Wenxiang Lin, Shaohuai Shi, Xiaowen Chu, Weinong Sun, Bo Li
Parm: Efficient Training of Large Sparsely-Activated Models with Dedicated Schedules. CoRR (2024)
Penglei Sun, Yaoxian Song, Xiang Liu, Xiaofei Yang, Qiang Wang, Tiefeng Li, Yang Yang, Xiaowen Chu
3D Question Answering for City Scene Understanding. CoRR (2024)
Zichen Tang, Junlin Huang, Rudan Yan, Yuxin Wang, Zhenheng Tang, Shaohuai Shi, Amelie Chi Zhou, Xiaowen Chu
Bandwidth-Aware and Overlap-Weighted Compression for Communication-Efficient Federated Learning. ICPP (2024)
Yujin Tang, Peijie Dong, Zhenheng Tang, Xiaowen Chu, Junwei Liang
VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecasting. CoRR (2024)
Peijie Dong, Lujun Li, Xinglin Pan, Zimian Wei, Xiang Liu, Qiang Wang, Xiaowen Chu
ParZC: Parametric Zero-Cost Proxies for Efficient NAS. CoRR (2024)
Zhenheng Tang, Yonggang Zhang, Shaohuai Shi, Xinmei Tian, Tongliang Liu, Bo Han, Xiaowen Chu
FedImpro: Measuring and Improving Client Update in Federated Learning. ICLR (2024)
Zihan Yu, Meixin Zhu, Kehua Chen, Xiaowen Chu, Xuesong Wang
LF-Net: A Learning-Based Frenet Planning Approach for Urban Autonomous Driving. IEEE Trans. Intell. Veh. 9 (1) (2024)
Ruonan Li, Yang Qin, Jie Liu, Xiaowen Chu, Jinlong Li
Multipath Based Congestion Propagation via Information Network Interaction in IIoT. IEEE Trans. Ind. Informatics 20 (6) (2024)
Shaohuai Shi, Xinglin Pan, Qiang Wang, Chengjian Liu, Xiaozhe Ren, Zhongzhe Hu, Yu Yang, Bo Li, Xiaowen Chu
ScheMoE: An Extensible Mixture-of-Experts Distributed Training System with Tasks Scheduling. EuroSys (2024)
Longteng Zhang, Xiang Liu, Zeyu Li, Xinglin Pan, Peijie Dong, Ruibo Fan, Rui Guo, Xin Wang, Qiong Luo, Shaohuai Shi, Xiaowen Chu
Dissecting the Runtime Performance of the Training, Fine-tuning, and Inference of Large Language Models. CoRR (2023)
Canhui Wang, Xiaowen Chu, Yang Qin
Dissecting Mining Pools of Bitcoin Network: Measurement, Analysis and Modeling. IEEE Trans. Netw. Sci. Eng. 10 (1) (2023)
Shuwei Qiu, Xiaowen Chu, Yiu-Wing Leung, Joseph Kee-Yin Ng
Joint Access Point Placement and Power-Channel-Resource-Unit Assignment for IEEE 802.11ax-Based Dense WiFi Network With QoS Requirements. IEEE Trans. Mob. Comput. 22 (5) (2023)
Lin Zhang, Shaohuai Shi, Xiaowen Chu, Wei Wang, Bo Li, Chengjian Liu
DeAR: Accelerating Distributed Deep Learning with Fine-Grained All-Reduce Pipelining. ICDCS (2023)
Zhenheng Tang, Shaohuai Shi, Bo Li, Xiaowen Chu
GossipFL: A Decentralized Federated Learning Framework With Sparsified and Adaptive Communication. IEEE Trans. Parallel Distributed Syst. 34 (3) (2023)
Lin Zhang, Shaohuai Shi, Xiaowen Chu, Wei Wang, Bo Li, Chengjian Liu
Decoupling the All-Reduce Primitive for Accelerating Distributed Deep Learning. CoRR (2023)
Ruonan Li, Yang Qin, Canhui Wang, Mengya Li, Xiaowen Chu
A Blockchain-Enabled Framework for Enhancing Scalability and Security in IIoT. IEEE Trans. Ind. Informatics 19 (6) (2023)
Qingsong Yan, Qiang Wang, Kaiyong Zhao, Bo Li, Xiaowen Chu, Fei Deng
Rethinking Disparity: A Depth Range Free Multi-View Stereo Based on Disparity. AAAI (2023)
Lin Zhang, Longteng Zhang, Shaohuai Shi, Xiaowen Chu, Bo Li
Evaluation and Optimization of Gradient Compression for Distributed Deep Learning. ICDCS (2023)
Canhui Wang, Xiaowen Chu
Stochastic Performance Analysis of Phase Decomposition in Hyperledger Fabric. CoRR (2023)
Lin Zhang, Longteng Zhang, Shaohuai Shi, Xiaowen Chu, Bo Li
Evaluation and Optimization of Gradient Compression for Distributed Deep Learning. CoRR (2023)
Ruibo Fan, Wei Wang, Xiaowen Chu
Fast Sparse GPU Kernels for Accelerated Training of Graph Neural Networks. IPDPS (2023)
Zhenheng Tang, Xiaowen Chu, Ryan Yide Ran, Sunwoo Lee, Shaohuai Shi, Yonggang Zhang, Yuxin Wang, Alex Qiaozhong Liang, Salman Avestimehr, Chaoyang He
FedML Parrot: A Scalable Federated Learning System via Heterogeneity-aware Scheduling on Sequential and Hierarchical Training. CoRR (2023)
Longteng Zhang, Lin Zhang, Shaohuai Shi, Xiaowen Chu, Bo Li
LoRA-FA: Memory-efficient Low-rank Adaptation for Large Language Models Fine-tuning. CoRR (2023)
Shaohuai Shi, Xinglin Pan, Xiaowen Chu, Bo Li
PipeMoE: Accelerating Mixture-of-Experts through Adaptive Pipelining. INFOCOM (2023)
Yongqi Zhang, Zhanke Zhou, Quanming Yao, Xiaowen Chu, Bo Han
AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning. KDD (2023)
Xiaowen Chu, Hongbo Jiang, Bo Li, Dan Wang, Wei Wang
Editorial: Advances in Mobile, Edge and Cloud Computing. Mob. Networks Appl. 27 (1) (2022)
Zhe Peng, Jianliang Xu, Xiaowen Chu, Shang Gao, Yuan Yao, Rong Gu, Yuzhe Tang
VFChain: Enabling Verifiable and Auditable Federated Learning via Blockchain Systems. IEEE Trans. Netw. Sci. Eng. 9 (1) (2022)
Qingsong Yan, Qiang Wang, Kaiyong Zhao, Bo Li, Xiaowen Chu, Fei Deng
Rethinking Disparity: A Depth Range Free Multi-View Stereo Based on Disparity. CoRR (2022)
Qiang Wang, Xinxin Mei, Hai Liu, Yiu-Wing Leung, Zongpeng Li, Xiaowen Chu
Energy-Aware Non-Preemptive Task Scheduling With Deadline Constraint in DVFS-Enabled Heterogeneous Clusters. IEEE Trans. Parallel Distributed Syst. 33 (10) (2022)
Yongqi Zhang, Zhanke Zhou, Quanming Yao, Xiaowen Chu, Bo Han
Learning Adaptive Propagation for Knowledge Graph Reasoning. CoRR (2022)
Qiang Wang, Shaohuai Shi, Kaiyong Zhao, Xiaowen Chu
EASNet: Searching Elastic and Accurate Network Architecture for Stereo Matching. ECCV (32) (2022)
Xiaowen Chu, Fausto Giunchiglia, Giovanni Neglia, David Gregg, Jiangchuan Liu
Guest Editorial: Introduction to the Special Section on Communication-Efficient Distributed Machine Learning. IEEE Trans. Netw. Sci. Eng. 9 (4) (2022)
Qingsong Yan, Qiang Wang, Kaiyong Zhao, Bo Li, Xiaowen Chu, Fei Deng
SphereDepth: Panorama Depth Estimation from Spherical Domain. CoRR (2022)
Rongfei Zeng, Chao Zeng, Xingwei Wang, Bo Li, Xiaowen Chu
Incentive Mechanisms in Federated Learning and A Game-Theoretical Approach. IEEE Netw. 36 (6) (2022)
Zhenheng Tang, Yonggang Zhang, Shaohuai Shi, Xin He, Bo Han, Xiaowen Chu
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning. CoRR (2022)
Xin He, Jiangchao Yao, Yuxin Wang, Zhenheng Tang, Ka Chun Cheung, Simon See, Bo Han, Xiaowen Chu
NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension. CoRR (2022)
Zhenheng Tang, Yonggang Zhang, Shaohuai Shi, Xin He, Bo Han, Xiaowen Chu
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning. ICML (2022)
Xin He, Guohao Ying, Jiyong Zhang, Xiaowen Chu
Evolutionary Multi-objective Architecture Search Framework: Application to COVID-19 3D CT Classification. MICCAI (1) (2022)
Hai Liu, Lu Yu, Chung Keung Poon, Zhiyong Lin, Yiu-Wing Leung, Xiaowen Chu
A Quality-Aware Rendezvous Framework for Cognitive Radio Networks. MSN (2022)
Da Yan, Wei Wang, Xiaowen Chu
An LLVM-based open-source compiler for NVIDIA GPUs. PPoPP (2022)
Qiang Wang, Shaohuai Shi, Kaiyong Zhao, Xiaowen Chu
EASNet: Searching Elastic and Accurate Network Architecture for Stereo Matching. CoRR (2022)
Yuxin Wang, Qiang Wang, Xiaowen Chu
Energy-Efficient Online Scheduling of Transformer Inference Services on GPU Servers. IEEE Trans. Green Commun. Netw. 6 (3) (2022)
Guohao Ying, Xin He, Bin Gao, Bo Han, Xiaowen Chu
EAGAN: Efficient Two-Stage Evolutionary Architecture Search for GANs. ECCV (16) (2022)
Chaoyang He, Alay Dilipbhai Shah, Zhenheng Tang, Di Fan, Adarshan Naiynar Sivashunmugam, Keerti Bhogaraju, Mita Shimpi, Li Shen, Xiaowen Chu, Mahdi Soltanolkotabi, Salman Avestimehr
FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks. CoRR (2021)
Qiang Wang, Shaohuai Shi, Shizhen Zheng, Kaiyong Zhao, Xiaowen Chu
FADNet++: Real-Time and Accurate Disparity Estimation with Configurable Networks. CoRR (2021)
Shaohuai Shi, Xiaowen Chu, Bo Li
MG-WFBP: Merging Gradients Wisely for Efficient Communication in Distributed Deep Learning. IEEE Trans. Parallel Distributed Syst. 32 (8) (2021)
Xin He, Shihao Wang, Xiaowen Chu, Shaohuai Shi, Jiangping Tang, Xin Liu, Chenggang Yan, Jiyong Zhang, Guiguang Ding
Automated Model Design and Benchmarking of Deep Learning Models for COVID-19 Detection with Chest CT Scans. AAAI (2021)
Da Yan, Wei Wang, Xiaowen Chu
Simplifying low-level GPU programming with GAS. PPoPP (2021)
Shaohuai Shi, Xianhao Zhou, Shutao Song, Xingyao Wang, Zilin Zhu, Xue Huang, Xinan Jiang, Feihu Zhou, Zhenyu Guo, Liqiang Xie, Rui Lan, Xianbin Ouyang, Yan Zhang, Jieqian Wei, Jing Gong, Weiliang Lin, Ping Gao, Peng Meng, Xiaomin Xu, Chenyang Guo, Bo Yang, Zhibo Chen, Yongjian Wu, Xiaowen Chu
Towards Scalable Distributed Training of Deep Learning on Public Cloud Clusters. MLSys (2021)
Qiang Wang, Shizhen Zheng, Qingsong Yan, Fei Deng, Kaiyong Zhao, Xiaowen Chu
IRS: A Large Naturalistic Indoor Robotics Stereo Dataset to Train Deep Models for Disparity and Surface Normal Estimation. ICME (2021)
Weihong Yang, Yang Qin, Zukai Jiang, Xiaowen Chu
Traffic Management for Distributed Machine Learning in RDMA-enabled Data Center Networks. ICC (2021)
Songyan Zhang, Zhicheng Wang, Qiang Wang, Jinshuo Zhang, Gang Wei, Xiaowen Chu
EDNet: Efficient Disparity Estimation With Cost Volume Combination and Attention-Based Spatial Residual. CVPR (2021)
Shaohuai Shi, Zhenheng Tang, Xiaowen Chu, Chengjian Liu, Wei Wang, Bo Li
A Quantitative Survey of Communication Optimizations in Distributed Deep Learning. IEEE Netw. 35 (3) (2021)
Rongfei Zeng, Chao Zeng, Xingwei Wang, Bo Li, Xiaowen Chu
A Comprehensive Survey of Incentive Mechanism for Federated Learning. CoRR (2021)
Xinxin Mei, Qiang Wang, Xiaowen Chu, Hai Liu, Yiu-Wing Leung, Zongpeng Li
Energy-aware Task Scheduling with Deadline Constraint in DVFS-enabled Heterogeneous Clusters. CoRR (2021)
Mengya Li, Yang Qin, Bing Liu, Xiaowen Chu
Enhancing the efficiency and scalability of blockchain through probabilistic verification and clustering. Inf. Process. Manag. 58 (5) (2021)
Xin He, Kaiyong Zhao, Xiaowen Chu
AutoML: A survey of the state-of-the-art. Knowl. Based Syst. 212 (2021)
Xin He, Shihao Wang, Xiaowen Chu, Shaohuai Shi, Jiangping Tang, Xin Liu, Chenggang Yan, Jiyong Zhang, Guiguang Ding
Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT Scans. CoRR (2021)
Shaohuai Shi, Xiaowen Chu, Bo Li
Exploiting Simultaneous Communications to Accelerate Data Parallel Distributed Deep Learning. INFOCOM (2021)
Lixin Liang, Huan He, Jian Zhao, Chengjian Liu, Qiuming Luo, Xiaowen Chu
An Erasure-Coded Storage System for Edge Computing. IEEE Access 8 (2020)
Qiang Wang, Shaohuai Shi, Shizhen Zheng, Kaiyong Zhao, Xiaowen Chu
FADNet: A Fast and Accurate Network for Disparity Estimation. ICRA (2020)
Chengjian Liu, Qiang Wang, Xiaowen Chu, Yiu-Wing Leung, Hai Liu
ESetStore: An Erasure-Coded Storage System With Fast Data Recovery. IEEE Trans. Parallel Distributed Syst. 31 (9) (2020)
Shaohuai Shi, Qiang Wang, Xiaowen Chu
Efficient Sparse-Dense Matrix-Matrix Multiplication on GPUs Using the Customized Sparse Storage Format. ICPADS (2020)
Shaohuai Shi, Zhenheng Tang, Qiang Wang, Kaiyong Zhao, Xiaowen Chu
Layer-Wise Adaptive Gradient Sparsification for Distributed Deep Learning with Convergence Guarantees. ECAI (2020)
Mengya Li, Yang Qin, Bing Liu, Xiaowen Chu
A Multi-node Collaborative Storage Strategy via Clustering in Blockchain Network. ICDCS (2020)
Qiang Wang, Xiaowen Chu
GPGPU Performance Estimation With Core and Memory Frequency Scaling. IEEE Trans. Parallel Distributed Syst. 31 (12) (2020)
Shaohuai Shi, Xianhao Zhou, Shutao Song, Xingyao Wang, Zilin Zhu, Xue Huang, Xinan Jiang, Feihu Zhou, Zhenyu Guo, Liqiang Xie, Rui Lan, Xianbin Ouyang, Yan Zhang, Jieqian Wei, Jing Gong, Weiliang Lin, Ping Gao, Peng Meng, Xiaomin Xu, Chenyang Guo, Bo Yang, Zhibo Chen, Yongjian Wu, Xiaowen Chu
Towards Scalable Distributed Training of Deep Learning on Public Cloud Clusters. CoRR (2020)
Zhenheng Tang, Shaohuai Shi, Xiaowen Chu, Wei Wang, Bo Li
Communication-Efficient Distributed Deep Learning: A Comprehensive Survey. CoRR (2020)
Qiang Wang, Shaohuai Shi, Canhui Wang, Xiaowen Chu
Communication Contention Aware Scheduling of Multiple Deep Learning Training Jobs. CoRR (2020)
Shaohuai Shi, Qiang Wang, Xiaowen Chu, Bo Li, Yang Qin, Ruihao Liu, Xinxiao Zhao
Communication-Efficient Distributed Deep Learning with Merged Gradient Sparsification on GPUs. INFOCOM (2020)
Yuxin Wang, Qiang Wang, Xiaowen Chu
Energy-efficient Inference Service of Transformer-based Deep Learning Models on GPUs. iThings/GreenCom/CPSCom/SmartData/Cybermatics (2020)
Da Yan, Wei Wang, Xiaowen Chu
Optimizing batched Winograd convolution on GPUs. PPoPP (2020)
Zhaocai Sun, Xiaofeng Zhang, Yunming Ye, Xiaowen Chu, Zhi Liu
A probabilistic approach towards an unbiased semi-supervised cluster tree. Knowl. Based Syst. 192 (2020)
Canhui Wang, Xiaowen Chu, Yang Qin
Measurement and Analysis of the Bitcoin Networks: A View from Mining Pools. BigCom (2020)
Zhenheng Tang, Shaohuai Shi, Xiaowen Chu
Communication-Efficient Decentralized Learning with Sparsification and Adaptive Peer Selection. CoRR (2020)
Shaohuai Shi, Zhenheng Tang, Xiaowen Chu, Chengjian Liu, Wei Wang, Bo Li
Communication-Efficient Distributed Deep Learning: Survey, Evaluation, and Challenges. CoRR (2020)
Canhui Wang, Xiaowen Chu
Performance Characterization and Bottleneck Analysis of Hyperledger Fabric. ICDCS (2020)
Yuxin Wang, Qiang Wang, Shaohuai Shi, Xin He, Zhenheng Tang, Kaiyong Zhao, Xiaowen Chu
Benchmarking the Performance and Energy Efficiency of AI Accelerators for AI Training. CCGRID (2020)
Shuwei Qiu, Xiaowen Chu, Yiu-Wing Leung, Joseph Kee-Yin Ng
Joint Access Point Placement and Power-Channel-Resource-Unit Assignment for 802.11ax-Based Dense WiFi with QoS Requirements. INFOCOM (2020)
Canhui Wang, Xiaowen Chu
Performance Characterization and Bottleneck Analysis of Hyperledger Fabric. CoRR (2020)
Shaohuai Shi, Qiang Wang, Xiaowen Chu
Efficient Sparse-Dense Matrix-Matrix Multiplication on GPUs Using the Customized Sparse Storage Format. CoRR (2020)
Lu Yu, Yiu-Wing Leung, Xiaowen Chu, Joseph Kee-Yin Ng
Multi-Fingerprint for Wireless Localization in Time-Varying Indoor Environment. GLOBECOM (2020)
Zhenheng Tang, Shaohuai Shi, Xiaowen Chu
Communication-Efficient Decentralized Learning with Sparsification and Adaptive Peer Selection. ICDCS (2020)
Da Yan, Wei Wang, Xiaowen Chu
Demystifying Tensor Cores to Optimize Half-Precision Matrix Multiply. IPDPS (2020)
Qiang Wang, Chengjian Liu, Xiaowen Chu
GPGPU performance estimation for frequency scaling using cross-benchmarking. GPGPU@PPoPP (2020)
Qiang Wang, Shaohuai Shi, Shizhen Zheng, Kaiyong Zhao, Xiaowen Chu
FADNet: A Fast and Accurate Network for Disparity Estimation. CoRR (2020)
Shaohuai Shi, Qiang Wang, Kaiyong Zhao, Zhenheng Tang, Yuxin Wang, Xiang Huang, Xiaowen Chu
A Distributed Synchronous SGD Algorithm with Global Top-k Sparsification for Low Bandwidth Networks. ICDCS (2019)
Bing Liu, Yang Qin, Xiaowen Chu
Reducing Forks in the Blockchain via Probabilistic Verification. ICDE Workshops (2019)
Xin He, Xiaoming Liu, Zhili Wu, Wu Yu, Xiaowen Chu, Shihao Wang, Shaohuai Shi, Zhenheng Tang, Yuxin Wang, Zhihao Zhao, Jing Dai, Ronghao Ni, Xiaofeng Zhang
Computer-Aided Clinical Skin Disease Diagnosis Using CNN and Object Detection Models. IEEE BigData (2019)
Shaohuai Shi, Zhenheng Tang, Qiang Wang, Kaiyong Zhao, Xiaowen Chu
Layer-wise Adaptive Gradient Sparsification for Distributed Deep Learning with Convergence Guarantees. CoRR (2019)
Canhui Wang, Xiaowen Chu
GPU Accelerated AES Algorithm. CoRR (2019)
Qiang Wang, Shizhen Zheng, Qingsong Yan, Fei Deng, Kaiyong Zhao, Xiaowen Chu
IRS: A Large Synthetic Indoor Robotics Stereo Dataset for Disparity and Surface Normal Estimation. CoRR (2019)

Xiaowen Chu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Xiaowen Chu