Zhenheng Tang

1.3k total citations
20 papers, 603 citations indexed

About

Zhenheng Tang is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zhenheng Tang has authored 20 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zhenheng Tang's work include Stochastic Gradient Optimization Techniques (7 papers), Advanced Neural Network Applications (5 papers) and Privacy-Preserving Technologies in Data (4 papers). Zhenheng Tang is often cited by papers focused on Stochastic Gradient Optimization Techniques (7 papers), Advanced Neural Network Applications (5 papers) and Privacy-Preserving Technologies in Data (4 papers). Zhenheng Tang collaborates with scholars based in Hong Kong, China and United Kingdom. Zhenheng Tang's co-authors include Xiaowen Chu, Shaohuai Shi, Qiang Wang, Fanlin Meng, Guangtao Fu, Kunlun Xin, Xiao Zhou, Kaiyong Zhao, Bo Li and Yuxin Wang and has published in prestigious journals such as Water Research, IEEE Transactions on Parallel and Distributed Systems and Process Safety and Environmental Protection.

In The Last Decade

Zhenheng Tang

16 papers receiving 584 citations

Peers

Zhenheng Tang
Nivin A. Ghamry Egypt
Jaeho Lee South Korea
Van Van Huynh Vietnam
N. Yuvaraj India
Maryam Amiri Iran
Feng Hu China
Rahul Biswas India
Daniel Ramotsoela South Africa
Nivin A. Ghamry Egypt
Zhenheng Tang
Citations per year, relative to Zhenheng Tang Zhenheng Tang (= 1×) peers Nivin A. Ghamry

Countries citing papers authored by Zhenheng Tang

Since Specialization
Citations

This map shows the geographic impact of Zhenheng Tang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Zhenheng Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenheng Tang more than expected).

Fields of papers citing papers by Zhenheng Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhenheng Tang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Zhenheng Tang. The network helps show where Zhenheng Tang may publish in the future.

Co-authorship network of co-authors of Zhenheng Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenheng Tang. A scholar is included among the top collaborators of Zhenheng Tang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhenheng Tang. Zhenheng Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chen, Yuhan, Zeyu Li, X. L. Kang, et al.. (2025). BurstGPT: A Real-World Workload Dataset to Optimize LLM Serving Systems. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5831–5841. 1 indexed citations
2.
3.
Tang, Zhenheng, Xia Li, Yijun Song, et al.. (2025). One-shot Federated Learning Methods: A Practical Guide. 10573–10581.
4.
Zhou, Xiao, et al.. (2024). Network embedding: The bridge between water distribution network hydraulics and machine learning. Water Research. 273. 123011–123011. 1 indexed citations
5.
Tang, Yujin, et al.. (2024). VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecasting. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5663–5673. 15 indexed citations
6.
Chu, Xiaowen, Yike Guo, Qifeng Liu, et al.. (2024). Discovering Sparsity Allocation for Layer-wise Pruning of Large Language Models. 141292–141317.
7.
8.
He, Xin, Jiangchao Yao, Yuxin Wang, et al.. (2023). NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension. Proceedings of the AAAI Conference on Artificial Intelligence. 37(6). 7839–7847. 8 indexed citations
9.
Tang, Zhenheng, Shaohuai Shi, Bo Li, & Xiaowen Chu. (2022). GossipFL: A Decentralized Federated Learning Framework With Sparsified and Adaptive Communication. IEEE Transactions on Parallel and Distributed Systems. 34(3). 909–922. 75 indexed citations
10.
Yan, Hexiang, et al.. (2021). Deep learning identifies leak in water pipeline system using transient frequency response. Process Safety and Environmental Protection. 155. 355–365. 39 indexed citations
11.
Shi, Shaohuai, et al.. (2020). Communication-Efficient Distributed Deep Learning: Survey, Evaluation, and Challenges.. arXiv (Cornell University). 2 indexed citations
12.
Tang, Zhenheng, Shaohuai Shi, & Xiaowen Chu. (2020). Communication-Efficient Decentralized Learning with Sparsification and Adaptive Peer Selection. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 38 indexed citations
13.
Shi, Shaohuai, et al.. (2020). A Quantitative Survey of Communication Optimizations in Distributed Deep Learning. IEEE Network. 35(3). 230–237. 34 indexed citations
14.
He, Xin, Shihao Wang, Shaohuai Shi, et al.. (2019). Computer-Aided Clinical Skin Disease Diagnosis Using CNN and Object Detection Models. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 4839–4844. 15 indexed citations
15.
Wang, Yuxin, Qiang Wang, Shaohuai Shi, et al.. (2019). Benchmarking the Performance and Power of AI Accelerators for AI Training. arXiv (Cornell University). 7 indexed citations
16.
Wang, Yuxin, Qiang Wang, Shaohuai Shi, et al.. (2019). Performance and Power Evaluation of AI Accelerators for Training Deep Learning Models. arXiv (Cornell University). 1 indexed citations
17.
Zhou, Xiao, Zhenheng Tang, Fanlin Meng, et al.. (2019). Deep learning identifies accurate burst locations in water distribution networks. Water Research. 166. 115058–115058. 180 indexed citations
18.
Tang, Zhenheng, Yuxin Wang, Qiang Wang, & Xiaowen Chu. (2019). The Impact of GPU DVFS on the Energy and Performance of Deep Learning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 315–325. 46 indexed citations
19.
Shi, Shaohuai, Qiang Wang, Kaiyong Zhao, et al.. (2019). A Distributed Synchronous SGD Algorithm with Global Top-k Sparsification for Low Bandwidth Networks. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2238–2247. 89 indexed citations
20.
Shi, Shaohuai, Kaiyong Zhao, Qiang Wang, Zhenheng Tang, & Xiaowen Chu. (2019). A Convergence Analysis of Distributed SGD with Communication-Efficient Gradient Sparsification. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3411–3417. 52 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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