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Zhenheng Tang
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Year
Deep learning identifies accurate burst locations in water distribution networks
X Zhou, Z Tang, W Xu, F Meng, X Chu, K Xin, G Fu
Water research 166, 115058, 2019
822019
A distributed synchronous SGD algorithm with global Top-k sparsification for low bandwidth networks
S Shi, Q Wang, K Zhao, Z Tang, Y Wang, X Huang, X Chu
2019 IEEE 39th International Conference on Distributed Computing Systems …, 2019
822019
Communication-efficient distributed deep learning: A comprehensive survey
Z Tang, S Shi, X Chu, W Wang, B Li
arXiv preprint arXiv:2003.06307, 2020
442020
A Convergence Analysis of Distributed SGD with Communication-Efficient Gradient Sparsification.
S Shi, K Zhao, Q Wang, Z Tang, X Chu
IJCAI, 3411-3417, 2019
402019
The impact of GPU DVFS on the energy and performance of deep learning: An empirical study
Z Tang, Y Wang, Q Wang, X Chu
Proceedings of the Tenth ACM International Conference on Future Energy …, 2019
332019
Communication-efficient decentralized learning with sparsification and adaptive peer selection
Z Tang, S Shi, X Chu
2020 IEEE 40th International Conference on Distributed Computing Systems …, 2020
212020
Benchmarking the Performance and Energy Efficiency of AI Accelerators for AI Training
Y Wang, Q Wang, S Shi, X He, Z Tang, K Zhao, X Chu
2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet …, 2020
162020
A quantitative survey of communication optimizations in distributed deep learning
S Shi, Z Tang, X Chu, C Liu, W Wang, B Li
IEEE Network 35 (3), 230-237, 2020
132020
Layer-wise adaptive gradient sparsification for distributed deep learning with convergence guarantees
S Shi, Z Tang, Q Wang, K Zhao, X Chu
arXiv preprint arXiv:1911.08727, 2019
122019
Benchmarking the performance and power of AI accelerators for AI training
Y Wang, Q Wang, S Shi, X He, Z Tang, K Zhao, X Chu
arXiv preprint arXiv:1909.06842, 2019
122019
FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks
C He, AD Shah, Z Tang, DFAN Sivashunmugam, K Bhogaraju, M Shimpi, ...
arXiv preprint arXiv:2111.11066, 2021
62021
Deep learning identifies leak in water pipeline system using transient frequency response
Z Liao, H Yan, Z Tang, X Chu, T Tao
Process Safety and Environmental Protection 155, 355-365, 2021
52021
Computer-Aided Clinical Skin Disease Diagnosis Using CNN and Object Detection Models
X He, S Wang, S Shi, Z Tang, Y Wang, Z Zhao, J Dai, R Ni, X Zhang, X Liu, ...
2019 IEEE International Conference on Big Data (Big Data), 4839-4844, 2019
52019
Data Resampling for Federated Learning with Non-IID Labels
Z Tang, Z Hu, S Shi, Y Cheung, Y Jin, Z Ren, X Chu
22021
Performance and Power Evaluation of AI Accelerators for Training Deep Learning Models
Y Wang, Q Wang, S Shi, X He, Z Tang, K Zhao, X Chu
arXiv preprint arXiv:1909.06842, 2019
22019
Communication-Efficient Distributed Deep Learning: Survey, Evaluation, and Challenges
S Shi, Z Tang, X Chu, C Liu, W Wang, B Li
arXiv preprint arXiv:2005.13247, 2020
12020
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning
Z Tang, Y Zhang, S Shi, X He, B Han, X Chu
arXiv preprint arXiv:2206.02465, 2022
2022
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