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ORCIDXiaowen Chu 0001
Person information
- affiliation: Hong Kong Baptist University, Department of Computer Science, Hong Kong
- affiliation (PhD 2003): Hong Kong University of Science and Technology, Hong Kong
Other persons with the same name
- Xiaowen Chu — disambiguation page
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2020 – today
- 2023
[j71]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): 2771-2788 (2023)- [j70]Canhui Wang, Xiaowen Chu, Yang Qin:
Dissecting Mining Pools of Bitcoin Network: Measurement, Analysis and Modeling. IEEE Trans. Netw. Sci. Eng. 10(1): 398-412 (2023) - [j69]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): 909-922 (2023) - [i51]Lin Zhang, Shaohuai Shi, Xiaowen Chu, Wei Wang, Bo Li, Chengjian Liu:
Decoupling the All-Reduce Primitive for Accelerating Distributed Deep Learning. CoRR abs/2302.12445 (2023) - [i50]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 abs/2303.01778 (2023) - 2022
- [j68]Xiaowen Chu, Hongbo Jiang, Bo Li, Dan Wang, Wei Wang:
Editorial: Advances in Mobile, Edge and Cloud Computing. Mob. Networks Appl. 27(1): 219-221 (2022) - [j67]Rongfei Zeng, Chao Zeng, Xingwei Wang, Bo Li, Xiaowen Chu:
Incentive Mechanisms in Federated Learning and A Game-Theoretical Approach. IEEE Netw. 36(6): 229-235 (2022) - [j66]Yuxin Wang, Qiang Wang, Xiaowen Chu:
Energy-Efficient Online Scheduling of Transformer Inference Services on GPU Servers. IEEE Trans. Green Commun. Netw. 6(3): 1649-1659 (2022) - [j65]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): 173-186 (2022) - [j64]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): 1949-1950 (2022) - [j63]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): 4083-4099 (2022) - [c122]Guohao Ying, Xin He, Bin Gao, Bo Han, Xiaowen Chu:
EAGAN: Efficient Two-Stage Evolutionary Architecture Search for GANs. ECCV (16) 2022: 37-53 - [c121]Qiang Wang, Shaohuai Shi, Kaiyong Zhao, Xiaowen Chu:
EASNet: Searching Elastic and Accurate Network Architecture for Stereo Matching. ECCV (32) 2022: 437-453 - [c120]Zhenheng Tang, Yonggang Zhang, Shaohuai Shi, Xin He, Bo Han, Xiaowen Chu:
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning. ICML 2022: 21111-21132 - [c119]Xin He, Guohao Ying, Jiyong Zhang, Xiaowen Chu:
Evolutionary Multi-objective Architecture Search Framework: Application to COVID-19 3D CT Classification. MICCAI (1) 2022: 560-570 - [c118]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: 20-27 - [c117]Da Yan, Wei Wang, Xiaowen Chu:
An LLVM-based open-source compiler for NVIDIA GPUs. PPoPP 2022: 448-449 - [i49]Yongqi Zhang, Zhanke Zhou, Quanming Yao, Xiaowen Chu, Bo Han:
Learning Adaptive Propagation for Knowledge Graph Reasoning. CoRR abs/2205.15319 (2022) - [i48]Zhenheng Tang, Yonggang Zhang, Shaohuai Shi, Xin He, Bo Han, Xiaowen Chu:
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning. CoRR abs/2206.02465 (2022) - [i47]Qiang Wang, Shaohuai Shi, Kaiyong Zhao, Xiaowen Chu:
EASNet: Searching Elastic and Accurate Network Architecture for Stereo Matching. CoRR abs/2207.09796 (2022) - [i46]Qingsong Yan, Qiang Wang, Kaiyong Zhao, Bo Li, Xiaowen Chu, Fei Deng:
SphereDepth: Panorama Depth Estimation from Spherical Domain. CoRR abs/2208.13714 (2022) - [i45]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 abs/2211.12759 (2022) - [i44]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 abs/2211.16905 (2022) - 2021
- [j62]Jiyong Zhang, Xin Liu, Xiaofei Zhou, Xiaowen Chu:
Leveraging graph neural networks for point-of-interest recommendations. Neurocomputing 462: 1-13 (2021) - [j61]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): 102650 (2021) - [j60]Xin He, Kaiyong Zhao, Xiaowen Chu:
AutoML: A survey of the state-of-the-art. Knowl. Based Syst. 212: 106622 (2021) - [j59]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): 230-237 (2021) - [j58]Xiaowen Chu, Xiaoming Fu, Baochun Li, Wei Wang, Hui Zang, Albert Y. Zomaya:
Guest Editorial: Interplay between Machine Learning and Networking Systems. IEEE Netw. 35(6): 64-66 (2021) - [j57]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): 1903-1917 (2021) - [c116]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: 4821-4829 - [c115]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: 5433-5442 - [c114]Zhe Peng, Jinbin Huang, Haixin Wang, Shihao Wang, Xiaowen Chu, Xinzhi Zhang, Li Chen, Xin Huang, Xiaoyi Fu, Yike Guo, Jianliang Xu:
BU-Trace: A Permissionless Mobile System for Privacy-Preserving Intelligent Contact Tracing. DASFAA (Workshops) 2021: 381-397 - [c113]Weihong Yang, Yang Qin, Zukai Jiang, Xiaowen Chu:
Traffic Management for Distributed Machine Learning in RDMA-enabled Data Center Networks. ICC 2021: 1-6 - [c112]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: 1-6 - [c111]Shaohuai Shi, Xiaowen Chu, Bo Li:
Exploiting Simultaneous Communications to Accelerate Data Parallel Distributed Deep Learning. INFOCOM 2021: 1-10 - [c110]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 - [c109]Da Yan, Wei Wang, Xiaowen Chu:
Simplifying low-level GPU programming with GAS. PPoPP 2021: 469-471 - [c108]Zhe Peng, Cheng Xu, Haixin Wang, Jinbin Huang, Jianliang Xu, Xiaowen Chu:
P2B-Trace: Privacy-Preserving Blockchain-based Contact Tracing to Combat Pandemics. SIGMOD Conference 2021: 2389-2393 - [i43]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 abs/2101.05442 (2021) - [i42]Zhe Peng, Jinbin Huang, Haixin Wang, Shihao Wang, Xiaowen Chu, Xinzhi Zhang, Li Chen, Xin Huang, Xiaoyi Fu, Yike Guo, Jianliang Xu:
BU-Trace: A Permissionless Mobile System for Privacy-Preserving Intelligent Contact Tracing. CoRR abs/2101.09653 (2021) - [i41]Xin He, Shihao Wang, Guohao Ying, Jiyong Zhang, Xiaowen Chu:
Efficient Multi-objective Evolutionary 3D Neural Architecture Search for COVID-19 Detection with Chest CT Scans. CoRR abs/2101.10667 (2021) - [i40]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 abs/2104.00486 (2021) - [i39]Rongfei Zeng, Chao Zeng, Xingwei Wang, Bo Li, Xiaowen Chu:
A Comprehensive Survey of Incentive Mechanism for Federated Learning. CoRR abs/2106.15406 (2021) - [i38]Qiang Wang, Shaohuai Shi, Shizhen Zheng, Kaiyong Zhao, Xiaowen Chu:
FADNet++: Real-Time and Accurate Disparity Estimation with Configurable Networks. CoRR abs/2110.02582 (2021) - [i37]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 abs/2111.11066 (2021) - [i36]Guohao Ying, Xin He, Bin Gao, Bo Han, Xiaowen Chu:
EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs. CoRR abs/2111.15097 (2021) - 2020
- [j56]Lixin Liang, Huan He, Jian Zhao, Chengjian Liu, Qiuming Luo, Xiaowen Chu:
An Erasure-Coded Storage System for Edge Computing. IEEE Access 8: 96271-96283 (2020) - [j55]Zhaocai Sun, Xiaofeng Zhang, Yunming Ye, Xiaowen Chu, Zhi Liu:
A probabilistic approach towards an unbiased semi-supervised cluster tree. Knowl. Based Syst. 192: 105306 (2020) - [j54]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): 2001-2016 (2020) - [j53]Qiang Wang, Xiaowen Chu:
GPGPU Performance Estimation With Core and Memory Frequency Scaling. IEEE Trans. Parallel Distributed Syst. 31(12): 2865-2881 (2020) - [c107]Canhui Wang, Xiaowen Chu, Yang Qin:
Measurement and Analysis of the Bitcoin Networks: A View from Mining Pools. BigCom 2020: 180-188 - [c106]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: 744-751 - [c105]Shaohuai Shi, Zhenheng Tang, Qiang Wang, Kaiyong Zhao, Xiaowen Chu:
Layer-Wise Adaptive Gradient Sparsification for Distributed Deep Learning with Convergence Guarantees. ECAI 2020: 1467-1474 - [c104]Lu Yu, Yiu-Wing Leung, Xiaowen Chu, Joseph Kee-Yin Ng:
Multi-Fingerprint for Wireless Localization in Time-Varying Indoor Environment. GLOBECOM 2020: 1-6 - [c103]Rongfei Zeng, Shixun Zhang, Jiaqi Wang, Xiaowen Chu:
FMore: An Incentive Scheme of Multi-dimensional Auction for Federated Learning in MEC. ICDCS 2020: 278-288 - [c102]Zhenheng Tang, Shaohuai Shi, Xiaowen Chu:
Communication-Efficient Decentralized Learning with Sparsification and Adaptive Peer Selection. ICDCS 2020: 1207-1208 - [c101]Mengya Li, Yang Qin, Bing Liu, Xiaowen Chu:
A Multi-node Collaborative Storage Strategy via Clustering in Blockchain Network. ICDCS 2020: 1275-1280 - [c100]Canhui Wang, Xiaowen Chu:
Performance Characterization and Bottleneck Analysis of Hyperledger Fabric. ICDCS 2020: 1281-1286 - [c99]Shaohuai Shi, Qiang Wang, Xiaowen Chu:
Efficient Sparse-Dense Matrix-Matrix Multiplication on GPUs Using the Customized Sparse Storage Format. ICPADS 2020: 19-26 - [c98]Qiang Wang, Shaohuai Shi, Shizhen Zheng, Kaiyong Zhao, Xiaowen Chu:
FADNet: A Fast and Accurate Network for Disparity Estimation. ICRA 2020: 101-107 - [c97]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: 406-415 - [c96]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: 2569-2578 - [c95]Da Yan, Wei Wang, Xiaowen Chu:
Demystifying Tensor Cores to Optimize Half-Precision Matrix Multiply. IPDPS 2020: 634-643 - [c94]Yuxin Wang, Qiang Wang, Xiaowen Chu:
Energy-efficient Inference Service of Transformer-based Deep Learning Models on GPUs. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2020: 323-331 - [c93]Qiang Wang, Chengjian Liu, Xiaowen Chu:
GPGPU performance estimation for frequency scaling using cross-benchmarking. GPGPU@PPoPP 2020: 31-40 - [c92]Da Yan, Wei Wang, Xiaowen Chu:
Optimizing batched Winograd convolution on GPUs. PPoPP 2020: 32-44 - [e1]Xiaowen Chu, Hongbo Jiang, Bo Li, Dan Wang, Wei Wang:
Quality, Reliability, Security and Robustness in Heterogeneous Systems - 15th EAI International Conference, QShine 2019, Shenzhen, China, November 22-23, 2019, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 300, Springer 2020, ISBN 978-3-030-38818-8 [contents] - [i35]Zhenheng Tang, Shaohuai Shi, Xiaowen Chu:
Communication-Efficient Decentralized Learning with Sparsification and Adaptive Peer Selection. CoRR abs/2002.09692 (2020) - [i34]Rongfei Zeng, Shixun Zhang, Jiaqi Wang, Xiaowen Chu:
FMore: An Incentive Scheme of Multi-dimensional Auction for Federated Learning in MEC. CoRR abs/2002.09699 (2020) - [i33]Qiang Wang, Shaohuai Shi, Canhui Wang, Xiaowen Chu:
Communication Contention Aware Scheduling of Multiple Deep Learning Training Jobs. CoRR abs/2002.10105 (2020) - [i32]Zhenheng Tang, Shaohuai Shi, Xiaowen Chu, Wei Wang, Bo Li:
Communication-Efficient Distributed Deep Learning: A Comprehensive Survey. CoRR abs/2003.06307 (2020) - [i31]Qiang Wang, Shaohuai Shi, Shizhen Zheng, Kaiyong Zhao, Xiaowen Chu:
FADNet: A Fast and Accurate Network for Disparity Estimation. CoRR abs/2003.10758 (2020) - [i30]Shaohuai Shi, Zhenheng Tang, Xiaowen Chu, Chengjian Liu, Wei Wang, Bo Li:
Communication-Efficient Distributed Deep Learning: Survey, Evaluation, and Challenges. CoRR abs/2005.13247 (2020) - [i29]Shaohuai Shi, Qiang Wang, Xiaowen Chu:
Efficient Sparse-Dense Matrix-Matrix Multiplication on GPUs Using the Customized Sparse Storage Format. CoRR abs/2005.14469 (2020) - [i28]Canhui Wang, Xiaowen Chu:
Performance Characterization and Bottleneck Analysis of Hyperledger Fabric. CoRR abs/2008.05946 (2020) - [i27]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 abs/2010.10458 (2020)
2010 – 2019
- 2019
- [c91]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: 4839-4844 - [c90]Zhenheng Tang, Yuxin Wang, Qiang Wang, Xiaowen Chu:
The Impact of GPU DVFS on the Energy and Performance of Deep Learning: an Empirical Study. e-Energy 2019: 315-325 - [c89]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: 2238-2247 - [c88]Bing Liu, Yang Qin, Xiaowen Chu:
Reducing Forks in the Blockchain via Probabilistic Verification. ICDE Workshops 2019: 13-18 - [c87]Shaohuai Shi, Kaiyong Zhao, Qiang Wang, Zhenheng Tang, Xiaowen Chu:
A Convergence Analysis of Distributed SGD with Communication-Efficient Gradient Sparsification. IJCAI 2019: 3411-3417 - [c86]Shaohuai Shi, Xiaowen Chu, Bo Li:
MG-WFBP: Efficient Data Communication for Distributed Synchronous SGD Algorithms. INFOCOM 2019: 172-180 - [c85]Lu Yu, Yiu-Wing Leung, Xiaowen Chu, Joseph Kee-Yin Ng:
Minimal Discrepancy Placement of Sniffers and Calibrators for Wireless Indoor Localization. PIMRC 2019: 1-7 - [i26]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. CoRR abs/1901.04359 (2019) - [i25]Canhui Wang, Xiaowen Chu:
GPU Accelerated AES Algorithm. CoRR abs/1902.05234 (2019) - [i24]Canhui Wang, Xiaowen Chu:
GPU Accelerated Keccak (SHA3) Algorithm. CoRR abs/1902.05320 (2019) - [i23]Canhui Wang, Xiaowen Chu, Qin Yang:
Measurement and Analysis of the Bitcoin Networks: A View from Mining Pools. CoRR abs/1902.07549 (2019) - [i22]Zhenheng Tang, Yuxin Wang, Qiang Wang, Xiaowen Chu:
The Impact of GPU DVFS on the Energy and Performance of Deep Learning: an Empirical Study. CoRR abs/1905.11012 (2019) - [i21]Xin He, Kaiyong Zhao, Xiaowen Chu:
AutoML: A Survey of the State-of-the-Art. CoRR abs/1908.00709 (2019) - [i20]Xin He, Shihao Wang, Shaohuai Shi, Zhenheng Tang, Yuxin Wang, Zhihao Zhao, Jing Dai, Ronghao Ni, Xiaofeng Zhang, Xiaoming Liu, Zhili Wu, Wu Yu, Xiaowen Chu:
Computer-Aided Clinical Skin Disease Diagnosis Using CNN and Object Detection Models. CoRR abs/1911.08705 (2019) - [i19]Shaohuai Shi, Zhenheng Tang, Qiang Wang, Kaiyong Zhao, Xiaowen Chu:
Layer-wise Adaptive Gradient Sparsification for Distributed Deep Learning with Convergence Guarantees. CoRR abs/1911.08727 (2019) - [i18]Shaohuai Shi, Xiaowen Chu, Ka Chun Cheung, Simon See:
Understanding Top-k Sparsification in Distributed Deep Learning. CoRR abs/1911.08772 (2019) - [i17]Shaohuai Shi, Xiaowen Chu, Bo Li:
MG-WFBP: Merging Gradients Wisely for Efficient Communication in Distributed Deep Learning. CoRR abs/1912.09268 (2019) - [i16]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 abs/1912.09678 (2019) - 2018
- [j52]Haitao Zhao, Hai Liu, Yiu-Wing Leung, Xiaowen Chu:
Self-Adaptive Collective Motion of Swarm Robots. IEEE Trans Autom. Sci. Eng. 15(4): 1533-1545 (2018) - [j51]Chengjian Liu, Qiang Wang, Xiaowen Chu, Yiu-Wing Leung:
G-CRS: GPU Accelerated Cauchy Reed-Solomon Coding. IEEE Trans. Parallel Distributed Syst. 29(7): 1484-1498 (2018) - [c84]Shaohuai Shi, Qiang Wang, Xiaowen Chu:
Performance Modeling and Evaluation of Distributed Deep Learning Frameworks on GPUs. DASC/PiCom/DataCom/CyberSciTech 2018: 949-957 - [c83]Qiang Wang, Xiaowen Chu:
GPGPU Performance Estimation with Core and Memory Frequency Scaling. ICPADS 2018: 417-424 - [c82]Shaohuai Shi, Qiang Wang, Xiaowen Chu, Bo Li:
A DAG Model of Synchronous Stochastic Gradient Descent in Distributed Deep Learning. ICPADS 2018: 425-432 - [c81]Omotayo Oshiga, Xiaowen Chu, Yiu-Wing Leung, Joseph Kee-Yin Ng:
Anchor Selection for Localization in Large Indoor Venues. IWQoS 2018: 1-6 - [c80]Zhiyong Lin, Hai Liu, Lu Yu, Yiu-Wing Leung, Xiaowen Chu:
ZOS: A Fast Rendezvous Algorithm Based on Set of Available Channels for Cognitive Radios. PIMRC 2018: 1-5 - [c79]Lu Yu, Hai Liu, Yiu-Wing Leung, Xiaowen Chu, Zhiyong Lin:
Cooperative rendezvous protocol for multiple user-pairs in cognitive radio networks. WCNC 2018: 1-6 - [i15]Shaohuai Shi, Qiang Wang, Xiaowen Chu, Bo Li:
Modeling and Evaluation of Synchronous Stochastic Gradient Descent in Distributed Deep Learning on Multiple GPUs. CoRR abs/1805.03812 (2018) - [i14]Xianyan Jia, Shutao Song, Wei He, Yangzihao Wang, Haidong Rong, Feihu Zhou, Liqiang Xie, Zhenyu Guo, Yuanzhou Yang, Liwei Yu, Tiegang Chen, Guangxiao Hu, Shaohuai Shi, Xiaowen Chu:
Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes. CoRR abs/1807.11205 (2018) - [i13]Shaohuai Shi, Xiaowen Chu:
MG-WFBP: Efficient Data Communication for Distributed Synchronous SGD Algorithms. CoRR abs/1811.11141 (2018) - 2017
- [j50]Xinxin Mei, Qiang Wang, Xiaowen Chu:
A survey and measurement study of GPU DVFS on energy conservation. Digit. Commun. Networks 3(2): 89-100 (2017) - [j49]Qiang Wang, Xiaowen Chu:
GPGPU Power Estimation with Core and Memory Frequency Scaling. SIGMETRICS Perform. Evaluation Rev. 45(2): 73-78 (2017) - [j48]Fusang Zhang, Hai Liu, Yiu-Wing Leung, Xiaowen Chu, Beihong Jin:
CBS: Community-Based Bus System as Routing Backbone for Vehicular Ad Hoc Networks. IEEE Trans. Mob. Comput. 16(8): 2132-2146 (2017) - [j47]Xinxin Mei, Xiaowen Chu:
Dissecting GPU Memory Hierarchy Through Microbenchmarking. IEEE Trans. Parallel Distributed Syst. 28(1): 72-86 (2017) - [c78]Shujin Ye, Hai Liu, Yiu-Wing Leung, Xiaowen Chu:
Reinsurance-Emulated Collaboration Mechanism in Cloud Federation. CLOUD 2017: 727-732 - [c77]Pengfei Xu, Shaohuai Shi, Xiaowen Chu:
Performance Evaluation of Deep Learning Tools in Docker Containers. BigCom 2017: 395-403 - [c76]Vincent Chau, Xiaowen Chu, Hai Liu, Yiu-Wing Leung:
Energy Efficient Job Scheduling with DVFS for CPU-GPU Heterogeneous Systems. e-Energy 2017: 1-11 - [c75]