Yuwei Hu
- Computer Vision and Pattern Recognition top 2%
- Hardware and Architecture top 2%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 5%
- Co-authors
- Zhiru ZhangLianmin ZhengLuís CezeArvind KrishnamurthyMeghan CowanTianqi ChenThierry MoreauEddie Yan
- Topics
- Advanced Neural Network Applications (5 papers)Parallel Computing and Optimization Techniques (4 papers)Image and Signal Denoising Methods (3 papers)
- Journals
- IEEE AccessOperating Systems Design and ImplementationRare & Special e-Zone (The Hong Kong University of Science and Technology)
- Partner nations
- United StatesChina
In The Last Decade
Yuwei Hu
12 papers receiving 831 citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 463
- Hardware and Architecture 342
- Artificial Intelligence 341
- Electrical and Electronic Engineering 231
- Computer Networks and Communications 213
Countries citing papers authored by Yuwei Hu
This map shows the geographic impact of Yuwei Hu'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 Yuwei Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuwei Hu more than expected).
Fields of papers citing papers by Yuwei Hu
This network shows the impact of papers produced by Yuwei Hu. 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 Yuwei Hu. The network helps show where Yuwei Hu may publish in the future.
Co-authorship network of co-authors of Yuwei Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Yuwei Hu. A scholar is included among the top collaborators of Yuwei Hu 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 Yuwei Hu. Yuwei Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 39 | |
| 2 | 45 | |
| 3 | 41 | |
| 4 | Improving Neural Network Quantization without Retraining using Outlier Channel Splitting | 32 |
| 5 | Improving Neural Network Quantization using Outlier Channel Splitting | 2 |
| 6 | 16 | |
| 7 | 79 | |
| 8 | TVM: an automated end-to-end optimizing compiler for deep learningbreakdown → | 522 |
| 9 | 1 | |
| 10 | 25 | |
| 11 | 10 | |
| 12 | 46 |
About Yuwei Hu
Yuwei Hu is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 12 papers that have together received 858 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Parallel Computing and Optimization Techniques (4 papers) and Image and Signal Denoising Methods (3 papers). The work is most often cited by research in Computational Mathematics (38 citations), Hardware and Architecture (342 citations) and Computer Vision and Pattern Recognition (463 citations). Yuwei Hu has collaborated with scholars based in United States and China. Frequent co-authors include Zhiru Zhang, Lianmin Zheng, Luís Ceze, Arvind Krishnamurthy, Meghan Cowan, Tianqi Chen, Thierry Moreau, Eddie Yan, Haichen Shen and Leyuan Wang. Their work appears in journals such as IEEE Access, Operating Systems Design and Implementation and Rare & Special e-Zone (The Hong Kong University of Science and Technology).
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.