Qiang Wang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 44

Top Topics

Stereo Matching

Disparity Estimation

Matrix Multiplication

Energy Conservation

Top Venues

IEEE Trans. Parallel Distributed Syst.

Publications

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)
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)
Yizhou Luo, Qiang Wang, Shaohuai Shi, Jiaxin Lai, Shuhan Qi, Jiajia Zhang, Xuan Wang
Scheduling Deep Learning Jobs in Multi-Tenant GPU Clusters via Wise Resource Sharing. CoRR (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)
Ruiqi Zhang, Jie Chen, Qiang Wang
Explicifying Neural Implicit Fields for Efficient Dynamic Human Avatar Modeling via a Neural Explicit Surface. ACM Multimedia (2023)
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)
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)
Qingsong Yan, Qiang Wang, Kaiyong Zhao, Bo Li, Xiaoweo Chu, Fei Deng
SphereDepth: Panorama Depth Estimation from Spherical Domain. 3DV (2022)
Qiang Wang, Shaohuai Shi, Shizhen Zheng, Kaiyong Zhao, Xiaowen Chu
FADNet++: Real-Time and Accurate Disparity Estimation with Configurable Networks. CoRR (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)
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)
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)
Qiang Wang, Xiaowen Chu
GPGPU Performance Estimation With Core and Memory Frequency Scaling. IEEE Trans. Parallel Distributed Syst. 31 (12) (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)
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)
Shaohuai Shi, Qiang Wang, Xiaowen Chu
Efficient Sparse-Dense Matrix-Matrix Multiplication on GPUs Using the Customized Sparse Storage Format. CoRR (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)
Shaohuai Shi, Zhenheng Tang, Qiang Wang, Kaiyong Zhao, Xiaowen Chu
Layer-wise Adaptive Gradient Sparsification for Distributed Deep Learning with Convergence Guarantees. 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)
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 (2019)
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)
Shaohuai Shi, Kaiyong Zhao, Qiang Wang, Zhenheng Tang, Xiaowen Chu
A Convergence Analysis of Distributed SGD with Communication-Efficient Gradient Sparsification. IJCAI (2019)
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 (2019)
Shaohuai Shi, Qiang Wang, Xiaowen Chu, Bo Li
A DAG Model of Synchronous Stochastic Gradient Descent in Distributed Deep Learning. ICPADS (2018)
Shaohuai Shi, Qiang Wang, Xiaowen Chu, Bo Li
Modeling and Evaluation of Synchronous Stochastic Gradient Descent in Distributed Deep Learning on Multiple GPUs. CoRR (2018)
Chengjian Liu, Qiang Wang, Xiaowen Chu, Yiu-Wing Leung
G-CRS: GPU Accelerated Cauchy Reed-Solomon Coding. IEEE Trans. Parallel Distributed Syst. 29 (7) (2018)
Shaohuai Shi, Qiang Wang, Xiaowen Chu
Performance Modeling and Evaluation of Distributed Deep Learning Frameworks on GPUs. DASC/PiCom/DataCom/CyberSciTech (2018)
Qiang Wang, Xiaowen Chu
GPGPU Performance Estimation with Core and Memory Frequency Scaling. ICPADS (2018)
Qiang Wang, Xiaowen Chu
GPGPU Power Estimation with Core and Memory Frequency Scaling. SIGMETRICS Perform. Evaluation Rev. 45 (2) (2017)
Xinxin Mei, Qiang Wang, Xiaowen Chu
A survey and measurement study of GPU DVFS on energy conservation. Digit. Commun. Networks 3 (2) (2017)
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)
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) (2017)
Qiang Wang, Xiaowen Chu
GPGPU Performance Estimation with Core and Memory Frequency Scaling. CoRR (2017)
Shaohuai Shi, Qiang Wang, Pengfei Xu, Xiaowen Chu
Benchmarking State-of-the-Art Deep Learning Software Tools. CCBD (2016)
Xinxin Mei, Qiang Wang, Xiaowen Chu
A Survey and Measurement Study of GPU DVFS on Energy Conservation. CoRR (2016)
Shaohuai Shi, Qiang Wang, Pengfei Xu, Xiaowen Chu
Benchmarking State-of-the-Art Deep Learning Software Tools. CoRR (2016)