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ORCIDQiang Wang 0022
Person information
- affiliation: Hong Kong Baptist University, Kowloon Tong, Hong Kong
Other persons with the same name
- Qiang Wang — disambiguation page
- Qiang Wang 0001
![[0000-0002-9654-0268]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-9654-0268")
— Harbin Institute of Technology, Department of Control Science and Engineering, China - Qiang Wang 0002 — Nanjing University of Technology, Department of Applied Chemistry, China (and 1 more)
- Qiang Wang 0003 — Dalian Maritime University, China
- Qiang Wang 0004 — Harbin Institute of Technology, School of Electronics Information Engineering, Harbin, China (and 2 more)
- Qiang Wang 0005 — Northeastern University, Software College, Shenyang, China
- Qiang Wang 0006 — National University of Defense Technology, National Laboratory for Parallel and Distributed Processing, Changsha, China
- Qiang Wang 0007 — Beijing University of Posts and Telecommunications, National Engineering Laboratory for Mobile Network Security, China
- Qiang Wang 0008 — Yulin Normal University, School of Electronics and Communication Engineering, China (and 1 more)
- Qiang Wang 0009 — Information Engineering University, Information Engineering Institute, Zhengzhou, China
- Qiang Wang 0010 — Temple University, Department of Computer and Information Sciences, Philadelphia, PA, USA
- Qiang Wang 0011 — Harbin Institute of Technology, Department of Computer Science and Technology, China
- Qiang Wang 0012 — Carleton University, School of Mathematics and Statistics, Ottawa, Canada
- Qiang Wang 0013 — Victoria University, Department of Electrical and Computer Engieering, BC, Canada
- Qiang Wang 0014 — Nanjing University of Posts and Telecommunications, College of Automation, China (and 1 more)
- Qiang Wang 0015 — Chinese Academy of Sciences, Shenyang Institute of Automation, State Key Laboratory of Robotics, China
- Qiang Wang 0016 — University of Twente, Faculty of Geo-Information Science and Earth Observation, Enschede, The Netherlands
- Qiang Wang 0017 — Tianjin Normal University, School of Geographic and Environment Science, China (and 1 more)
- Qiang Wang 0018 — Tianjin University, College of Intelligence and Computing, China
- Qiang Wang 0019 — Tianjin University, State Key Laboratory of Precision Measuring Technology and Instruments, China
- Qiang Wang 0020 — PLA Academy of Military Science, Beijing, China (and 2 more)
- Qiang Wang 0021 — Wuhan University of Technology, School of Logistics Engineering, China
- Qiang Wang 0023 — Samsung Research China, Beijing, China
- Qiang Wang 0025 — Chinese Academy of Sciences, Changchun Institute of Optics, Fine Mechanics and Physics, Changchun, China
- Qiang Wang 0026 — Xi'an Jiaotong University, School of Management, Xi'an, China
- Qiang Wang 0027 — Wuhan University, Electronic Information School, Wuhan, China
- Qiang Wang 0028 — University of Edinburgh, School of Chemistry, Edinburgh, U.K. (and 1 more)
- Qiang Wang 0029 — Tongji University, School of Civil Engineering, Shanghai, China
- Qiang Wang 0030 — Beijing University of Technology, College of Economics and Management, Beijing, China
- Qiang Wang 0031 — China University of Mining and Technology, School of Electrical Engineering, Xuzhou, China
- Qiang Wang 0032 — Army Engineering University of PLA, Missile Engineering Department, Shijiazhuang Campus, Shijiazhuang, China
- Qiang Wang 0033 — Zhejiang University, College of Computer Science and Technology, Hangzhou, China
- Qiang Wang 0034 — Guangxi Normal University, College of Computer Science and Information Technology, Guilin, China
- Qiang Wang 0035 — Huazhong University of Science and Technology, Wuhan National Laboratory for Optoelectronics, Wuhan, China
- Qiang Wang 0036 — Shanghai University, Shanghai Institute for Advanced Communication and Data Science, Shanghai, China
- Qiang Wang 0037 — Nanjing University, School of Geography and Ocean Science, Nanjing, China
- Qiang Wang 0038 — Changshu Hospital Affiliated to Nanjing University of Traditional Chinese Medicine, Department of Orthopedic, Changshu, China
- Qiang Wang 0039 — Air Force Engineering University, Equipment Management and UAV Engineering College, Xi'an, China
- Qiang Wang 0040 — Tsinghua University, Department of Industrial Engineering, Beijing, China
- Qiang Wang 0041 — Yunnan University, School of Software, Kunming, China
- Qiang Wang 0042 — Taiyuan University of Technology, Taiyuan, China
- Qiang Wang 0043 — East China University of Science and Technology, Key Laboratory of Smart Manufacturing in Energy Chemical Process, Shanghai, China
- Qiang Wang 0044 — Liaoning Petrochemical University, School of Information and Control Engineering, Fushun, China
- Qiang Wang 0046 — Nantong University, Nantong, China
- Qiang Wang 0047 — National University of Defense Technology, College of Information and Communication, Wuhan, China (and 1 more)
- Qiang Wang 0048 — Beijing University of Posts and Telecommunications, Pattern Recognition and Intelligent System Laboratory, Beijing, China
- Qiang Wang 0049 — Kyushu Institute of Technology, Fukuoka, Japan
- Qiang Wang 0050 — Northeastern University, Natural Language Processing Lab, Shenyang, China (and 1 more)
- Qiang Wang 0051 — Chinese Academy of Sciences, National Laboratory of Pattern Recognition, Beijing, China
- Qiang Wang 0052 — Beihang University, School of Economics and Management, Beihang, China
- Qiang Wang 0053 — Shenzhen University, College of Computer Science and Software Engineering, Shenzhen, China
- Qiang Wang 0054 — Alibaba Group, DAMO Academy, China
- Qiang Wang 0055 — Kunming University of Science and Technology, Faculty of Information Engineering and Automation, China
- Qiang Wang 0056 — Tianjin University, School of Electrical and Information Engineering, Tianjin Key Laboratory of Brain-Inspired Intelligence Technology, China
- Qiang Wang 0057 — Peaceful Mind, LLC, wearable biomedical devices Department, Gainesville, FL, USA (and 1 more)
- Qiang Wang 0058 — University of Science and Technology of China, International Institute of Finance, School of Management, Hefei, China
- Qiang Wang 0059 — University of Chinese Academy of Sciences, School of Cyber Security, Beijing, China (and 1 more)
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2020 – today
- 2024
[c21]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: 236-249- 2023
- [c20]Ruiqi Zhang, Jie Chen, Qiang Wang:
Explicifying Neural Implicit Fields for Efficient Dynamic Human Avatar Modeling via a Neural Explicit Surface. ACM Multimedia 2023: 1955-1963 - 2022
- [j8]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) - [j7]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) - [c19]Qingsong Yan, Qiang Wang, Kaiyong Zhao, Bo Li, Xiaoweo Chu, Fei Deng:
SphereDepth: Panorama Depth Estimation from Spherical Domain. 3DV 2022: 1-10 - [c18]Qiang Wang, Shaohuai Shi, Kaiyong Zhao, Xiaowen Chu:
EASNet: Searching Elastic and Accurate Network Architecture for Stereo Matching. ECCV (32) 2022: 437-453 - [i16]Qiang Wang, Shaohuai Shi, Kaiyong Zhao, Xiaowen Chu:
EASNet: Searching Elastic and Accurate Network Architecture for Stereo Matching. CoRR abs/2207.09796 (2022) - [i15]Qingsong Yan, Qiang Wang, Kaiyong Zhao, Bo Li, Xiaowen Chu, Fei Deng:
SphereDepth: Panorama Depth Estimation from Spherical Domain. CoRR abs/2208.13714 (2022) - [i14]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
- [c17]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 - [c16]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 - [i13]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) - [i12]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) - 2020
- [j6]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) - [j5]Qiang Wang, Xiaowen Chu:
GPGPU Performance Estimation With Core and Memory Frequency Scaling. IEEE Trans. Parallel Distributed Syst. 31(12): 2865-2881 (2020) - [c15]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 - [c14]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 - [c13]Shaohuai Shi, Qiang Wang, Xiaowen Chu:
Efficient Sparse-Dense Matrix-Matrix Multiplication on GPUs Using the Customized Sparse Storage Format. ICPADS 2020: 19-26 - [c12]Qiang Wang, Shaohuai Shi, Shizhen Zheng, Kaiyong Zhao, Xiaowen Chu:
FADNet: A Fast and Accurate Network for Disparity Estimation. ICRA 2020: 101-107 - [c11]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 - [c10]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 - [c9]Qiang Wang, Chengjian Liu, Xiaowen Chu:
GPGPU performance estimation for frequency scaling using cross-benchmarking. GPGPU@PPoPP 2020: 31-40 - [i11]Qiang Wang, Shaohuai Shi, Canhui Wang, Xiaowen Chu:
Communication Contention Aware Scheduling of Multiple Deep Learning Training Jobs. CoRR abs/2002.10105 (2020) - [i10]Qiang Wang, Shaohuai Shi, Shizhen Zheng, Kaiyong Zhao, Xiaowen Chu:
FADNet: A Fast and Accurate Network for Disparity Estimation. CoRR abs/2003.10758 (2020) - [i9]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)
2010 – 2019
- 2019
- [c8]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 - [c7]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 - [c6]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 - [i8]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) - [i7]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) - [i6]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) - [i5]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
- [j4]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) - [c5]Shaohuai Shi, Qiang Wang, Xiaowen Chu:
Performance Modeling and Evaluation of Distributed Deep Learning Frameworks on GPUs. DASC/PiCom/DataCom/CyberSciTech 2018: 949-957 - [c4]Qiang Wang, Xiaowen Chu:
GPGPU Performance Estimation with Core and Memory Frequency Scaling. ICPADS 2018: 417-424 - [c3]Shaohuai Shi, Qiang Wang, Xiaowen Chu, Bo Li:
A DAG Model of Synchronous Stochastic Gradient Descent in Distributed Deep Learning. ICPADS 2018: 425-432 - [i4]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) - 2017
- [j3]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) - [j2]Luwei He, Lu Lu, Qiang Wang:
An optimal parallel implementation of Markov Clustering based on the coordination of CPU and GPU. J. Intell. Fuzzy Syst. 32(5): 3609-3617 (2017) - [j1]Qiang Wang, Xiaowen Chu:
GPGPU Power Estimation with Core and Memory Frequency Scaling. SIGMETRICS Perform. Evaluation Rev. 45(2): 73-78 (2017) - [c2]Qiang Wang, Pengfei Xu, Yatao Zhang, Xiaowen Chu:
EPPMiner: An Extended Benchmark Suite for Energy, Power and Performance Characterization of Heterogeneous Architecture. e-Energy 2017: 23-33 - [i3]Qiang Wang, Xiaowen Chu:
GPGPU Performance Estimation with Core and Memory Frequency Scaling. CoRR abs/1701.05308 (2017) - 2016
- [c1]Shaohuai Shi, Qiang Wang, Pengfei Xu, Xiaowen Chu:
Benchmarking State-of-the-Art Deep Learning Software Tools. CCBD 2016: 99-104 - [i2]Shaohuai Shi, Qiang Wang, Pengfei Xu, Xiaowen Chu:
Benchmarking State-of-the-Art Deep Learning Software Tools. CoRR abs/1608.07249 (2016) - [i1]Xinxin Mei, Qiang Wang, Xiaowen Chu:
A Survey and Measurement Study of GPU DVFS on Energy Conservation. CoRR abs/1610.01784 (2016)
Coauthor Index
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