Qiang Wang
Orcid: 0000-0002-2986-967XAffiliations:
- Hong Kong Baptist University, Kowloon Tong, Hong Kong
According to our database1,
Qiang Wang
authored at least 34 papers
between 2016 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2023
Explicifying Neural Implicit Fields for Efficient Dynamic Human Avatar Modeling via a Neural Explicit Surface.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
2022
Energy-Aware Non-Preemptive Task Scheduling With Deadline Constraint in DVFS-Enabled Heterogeneous Clusters.
IEEE Trans. Parallel Distributed Syst., 2022
IEEE Trans. Green Commun. Netw., 2022
CoRR, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the International Conference on 3D Vision, 2022
2021
CoRR, 2021
Energy-aware Task Scheduling with Deadline Constraint in DVFS-enabled Heterogeneous Clusters.
CoRR, 2021
IRS: A Large Naturalistic Indoor Robotics Stereo Dataset to Train Deep Models for Disparity and Surface Normal Estimation.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
EDNet: Efficient Disparity Estimation With Cost Volume Combination and Attention-Based Spatial Residual.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
IEEE Trans. Parallel Distributed Syst., 2020
IEEE Trans. Parallel Distributed Syst., 2020
CoRR, 2020
Proceedings of the GPGPU@PPoPP '20: 13th Annual Workshop on General Purpose Processing using Graphics Processing Unit colocated with 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2020
Energy-efficient Inference Service of Transformer-based Deep Learning Models on GPUs.
Proceedings of the 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2020
Communication-Efficient Distributed Deep Learning with Merged Gradient Sparsification on GPUs.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Efficient Sparse-Dense Matrix-Matrix Multiplication on GPUs Using the Customized Sparse Storage Format.
Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020
Layer-Wise Adaptive Gradient Sparsification for Distributed Deep Learning with Convergence Guarantees.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
Benchmarking the Performance and Energy Efficiency of AI Accelerators for AI Training.
Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020
2019
IRS: A Large Synthetic Indoor Robotics Stereo Dataset for Disparity and Surface Normal Estimation.
CoRR, 2019
A Convergence Analysis of Distributed SGD with Communication-Efficient Gradient Sparsification.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
A Distributed Synchronous SGD Algorithm with Global Top-k Sparsification for Low Bandwidth Networks.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019
The Impact of GPU DVFS on the Energy and Performance of Deep Learning: an Empirical Study.
Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019
2018
IEEE Trans. Parallel Distributed Syst., 2018
Modeling and Evaluation of Synchronous Stochastic Gradient Descent in Distributed Deep Learning on Multiple GPUs.
CoRR, 2018
Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018
Proceedings of the 2018 IEEE 16th Intl Conf on Dependable, 2018
2017
SIGMETRICS Perform. Evaluation Rev., 2017
An optimal parallel implementation of Markov Clustering based on the coordination of CPU and GPU.
J. Intell. Fuzzy Syst., 2017
Digit. Commun. Networks, 2017
EPPMiner: An Extended Benchmark Suite for Energy, Power and Performance Characterization of Heterogeneous Architecture.
Proceedings of the Eighth International Conference on Future Energy Systems, 2017
2016
Proceedings of the 7th International Conference on Cloud Computing and Big Data, 2016