Zhewei Yao
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Electrical and Electronic Engineering
- Computational Mechanics top 10%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Michael W. MahoneyKurt KeutzerAmir GholamiZhen DongSheng ShenYaohui CaiJiayu YeLinjian Ma
- Topics
- Advanced Neural Network Applications (12 papers)Domain Adaptation and Few-Shot Learning (7 papers)Stochastic Gradient Optimization Techniques (5 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceJournal of Computational PhysicsTribology International
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Zhewei Yao
34 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Artificial Intelligence 777
- Computer Vision and Pattern Recognition 613
- Electrical and Electronic Engineering 198
- Computational Mechanics 145
- Statistical and Nonlinear Physics 120
Countries citing papers authored by Zhewei Yao
This map shows the geographic impact of Zhewei Yao'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 Zhewei Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhewei Yao more than expected).
Fields of papers citing papers by Zhewei Yao
This network shows the impact of papers produced by Zhewei Yao. 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 Zhewei Yao. The network helps show where Zhewei Yao may publish in the future.
Co-authorship network of co-authors of Zhewei Yao
This figure shows the co-authorship network connecting the top 25 collaborators of Zhewei Yao. A scholar is included among the top collaborators of Zhewei Yao 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 Zhewei Yao. Zhewei Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | AI and Memory Wallbreakdown → | 79 |
| 4 | 7 | |
| 5 | 11 | |
| 6 | 23 | |
| 7 | 3 | |
| 8 | Efficient Second-Order Methods for Non-Convex Optimization and Machine Learning | 1 |
| 9 | HAWQ-V3: Dyadic Neural Network Quantization | 30 |
| 10 | ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training | 3 |
| 11 | 88 | |
| 12 | Benchmarking Semi-supervised Federated Learning | 13 |
| 13 | 195 | |
| 14 | 65 | |
| 15 | ANODEV2: A Coupled Neural ODE Framework | 12 |
| 16 | 224 | |
| 17 | Hessian-based Analysis of Large Batch Training and Robustness to Adversaries | 8 |
| 18 | 8 | |
| 19 | 15 | |
| 20 | 4 |
About Zhewei Yao
Zhewei Yao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Statistics, Probability and Uncertainty, having authored 37 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (12 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Stochastic Gradient Optimization Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (613 citations), Artificial Intelligence (777 citations) and Computational Mathematics (12 citations). Zhewei Yao has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Michael W. Mahoney, Kurt Keutzer, Amir Gholami, Zhen Dong, Sheng Shen, Yaohui Cai, Jiayu Ye, Linjian Ma, Zhen Dong and Steven L. Brunton. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Computational Physics and Tribology International.
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.