Welcome

Qiang Wang is currently an Assistant Professor at Department of Computer Science and Technology, Harbin Institute of Technology, Shenzhen. Before that, he was a Research Assistant Professor at Department of Computer Science, Hong Kong Baptist University and a Senior Engineer at Tencent (Shenzhen). He received his B.E. degree from South China University of Technology in 2014, and his Ph.D. degree at Department of Computer Science, Hong Kong Baptist University, under supervision of Prof. X.-W Chu, in 2020. His research interests include General Purpose GPU Computing, Distributed Computing, and High Performance Machine Learning.

News

  • [April 2024] The papers “Scheduling Deep Learning Jobs in Multi-Tenant GPU Clusters via Wise Resource Sharing” and “DSO: A GPU Energy Efficiency Optimizer by Fusing Dynamic and Static Information” have been accepted by IWQoS 2024.
  • [Jan 2024] The paper “ScheMoE: An Extensible Mixture-of-Experts Distributed Training System with Tasks Scheduling” has been accepted by EuroSys 2024.
  • [Dec 2023] The paper “Benchmarking and Dissecting the Nvidia Hopper GPU Architecture” has been accepted by IPDPS 2024.
  • [Dec 2023] The paper “CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning” has been accepted by AAAI 2024.
  • [Sept 2023] The paper “Improving GPU Energy Efficiency through an Application-transparent Frequency Scaling Policy with Performance Assurance” has been accepted by EuroSys 2024.
  • [July 2023] The paper “Explicify Neural Implicit Fields for Efficient Dynamic Human Avatar Modeling via a Neural Explicit Surface” has been accepted by ACMMM 2023.
  • [November 2022] The paper “Rethinking Disparity: A depth range free Multi-View Stereo based on Disparity” has been accepted by AAAI 2023.
  • [August 2022] The paper “SphereDepth: Panorama Depth Estimation from Spherical Domain” has been accepted by 3DV 2022.
  • [August 2022] The paper “Scale-Consistent Fusion: from Heterogeneous Local Sampling to Global Immersive Rendering” has been accepted by TIP.
  • [July 2022] The paper “EASNet:Searching Elastic and Accurate Network Architecture for Stereo Matching” has been accepted by ECCV 2022.
  • [May 2022] The paper “Energy-aware Non-preemptive Task Scheduling with Deadline Constraint in DVFS-enabled Heterogeneous Clusters” has been accepted by IEEE TPDS.
  • [April 2022] The paper “Energy-efficient Online Scheduling of Transformer Inference Services on GPU Servers” has been accepted by IEEE Transactions on Green Communications and Networking (TGCN).
  • [March 2021] The paper “IRS: A Large Naturalistic Indoor Robotics Stereo Dataset to Train Deep Models for Disparity and Surface Normal Estimation” has been accepted by ICME 2021.
  • [March 2021] The paper “EDNet: Efficient Disparity Estimation with Cost Volume Combination and Attention-based Spatial Residual” has been accepted by CVPR 2021.
  • [December 2020] The paper “Energy-Efficient Inference Service of Transformer-Based Deep Learning Models on GPUs” has received the Best Paper Award of IEEE GreenCom 2020.
  • [September 2020] I started my academic position as a Research Assistant Professor at Department of Computer Science, Hong Kong Baptist University.
  • [June 2020] The paper “GPGPU Performance Estimation with Core and Memory Frequency Scaling” has been accepted by IEEE TPDS.
  • [January 2020] The paper “FADNet: A Fast and Accurate Network for Disparity Estimation” has been accepted by ICRA 2020.

Biography

  • 2015-2020, Ph.D., Hong Kong Baptist University, supervised by Prof. X.-W Chu
  • 2010-2014, B.E., Computer Science and Technology, South China University of Technology, China

Work Experience

  • 2022.05-present, Assistant Professor, Harbin Institute of Technology (Shenzhen)
  • 2022.01-2022.05, Senior Engineer, Tencent (Shenzhen)
  • 2020.09-2022.01, Research Assistant Professor, Hong Kong Baptist University
  • 2020.06-2020.08, Research Intern, Alibaba Ant Financial Services (蚂蚁金服)
  • 2019.08-2020.05, Research Intern, Nvidia Corporation
  • 2019-2020, Research Assistant, Hong Kong Baptist University, supervised by Prof. X.-W Chu
  • 2015-2019, Teaching Assistant, Department of Computer Science, Hong Kong Baptist University.
  • 2014-2015, Research Assistant, Hong Kong Baptist University, supervised by Prof. X.-W Chu

Awards

  • 2020, RPg Performance Award Scheme, Hong Kong Baptist University [link]
  • 2016-2019, Excellent Teaching Assistant Performance Award [link]
  • 2015, Hong Kong PhD Fellowship [link] [link]
  • 2013, American Mathematical Contest in Modeling, Honorable Prize
  • 2011, National Scholarship

Professional Activities

  • Invited Program Committee Member for Conferences
    • IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024
    • International Conference on Big Data Computing and Communications (BigCom), 2023
    • AAAI Conference on Artificial Intelligence (AAAI), 2023~2024
    • IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023~2024
    • IEEE International Conference on Green Computing and Communications (GreenCom), 2022
    • IEEE International Conference on High Performance Computing and Communications (HPCC), 2021~2022
    • IEEE International Conference on High Performance Computing, Data & Analytics (HiPC), 2021~2023
    • IEEE International Conference on Parallel and Distributed Systems (ICPADS), 2021
    • IEEE Conference on Robotics and Automation (IEEE ICRA), 2021
  • Invited Reviewer for Journals
    • IEEE Robotics and Automation Letters (RA-L)
    • ACM Transactions on Design Automation of Electronic Systems (TODAES)
    • IEEE Transactions on Parallel and Distributed Systems (TPDS)
    • ACM Computing Surveys (CSUR)
    • IEEE Transactions on Big Data (TBD)
    • IEEE Transactions on Network Science and Engineering (TNSE)
    • IEEE Network
    • IEEE Transactions on Cloud Computing (TCC)
    • IEEE Pervasive Computing (PC)
    • Journal of System Architecture (JSA)
    • IEEE Access