Ligeng Zhu
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Hardware and Architecture
- Topics
- Advanced Neural Network Applications (6 papers)Machine Learning and ELM (2 papers)Privacy-Preserving Technologies in Data (2 papers)
- Partner nations
- United States
In The Last Decade
Ligeng Zhu
11 papers receiving 409 citations
Peers
Comparison fields: 5 of 82
- Computer Vision and Pattern Recognition 232
- Artificial Intelligence 203
- Electrical and Electronic Engineering 79
- Computer Networks and Communications 51
- Hardware and Architecture 26
Countries citing papers authored by Ligeng Zhu
This map shows the geographic impact of Ligeng Zhu'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 Ligeng Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ligeng Zhu more than expected).
Fields of papers citing papers by Ligeng Zhu
This network shows the impact of papers produced by Ligeng Zhu. 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 Ligeng Zhu. The network helps show where Ligeng Zhu may publish in the future.
Co-authorship network of co-authors of Ligeng Zhu
This figure shows the co-authorship network connecting the top 25 collaborators of Ligeng Zhu. A scholar is included among the top collaborators of Ligeng Zhu 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 Ligeng Zhu. Ligeng Zhu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 62 | |
| 2 | 0 | |
| 3 | 85 | |
| 4 | Delayed Gradient Averaging: Tolerate the Communication Latency for Federated Learning | 16 |
| 5 | TinyTL: Reduce Memory, Not Parameters for Efficient On-Device Learning | 27 |
| 6 | Tiny Transfer Learning: Towards Memory-Efficient On-Device Learning | 8 |
| 7 | 134 | |
| 8 | 15 | |
| 9 | Distributed Training Across the World | 2 |
| 10 | 43 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 20 |
About Ligeng Zhu
Ligeng Zhu is a scholar working on Health Informatics, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 13 papers that have together received 420 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Machine Learning and ELM (2 papers) and Privacy-Preserving Technologies in Data (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (232 citations), Artificial Intelligence (203 citations) and Hardware and Architecture (26 citations). Ligeng Zhu has collaborated with scholars based in United States. Frequent co-authors include Song Han, Han Cai, Zhijian Liu, Hanrui Wang, Chuang Gan, Ji Lin, Zhanghao Wu, Yujun Lin, Wei-Ming Chen and Haotian Tang. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Micro and IEEE Circuits and Systems Magazine.
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.