Jiashi Feng
- Computer Vision and Pattern Recognition top 0.01%
- Artificial Intelligence top 0.05%
- Media Technology top 0.05%
- Computational Mechanics top 0.5%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Co-authors
- Shuicheng YanQibin HouDaquan ZhouMing‐Ming ChengYunpeng ChenKate SaenkoBaochen SunZhouchen Lin
- Topics
- Advanced Neural Network Applications (72 papers)Domain Adaptation and Few-Shot Learning (64 papers)Advanced Image and Video Retrieval Techniques (63 papers)
- Journals
- Nature CommunicationsNature NeuroscienceIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- SingaporeChinaUnited States
In The Last Decade
Jiashi Feng
273 papers receiving 25.5k citations
Hit Papers
Peers
Comparison fields: 5 of 198
- Computer Vision and Pattern Recognition 18.0k
- Artificial Intelligence 7.7k
- Media Technology 3.1k
- Computational Mechanics 1.8k
- Radiology, Nuclear Medicine and Imaging 1.6k
Countries citing papers authored by Jiashi Feng
This map shows the geographic impact of Jiashi Feng'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 Jiashi Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiashi Feng more than expected).
Fields of papers citing papers by Jiashi Feng
This network shows the impact of papers produced by Jiashi Feng. 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 Jiashi Feng. The network helps show where Jiashi Feng may publish in the future.
Co-authorship network of co-authors of Jiashi Feng
This figure shows the co-authorship network connecting the top 25 collaborators of Jiashi Feng. A scholar is included among the top collaborators of Jiashi Feng 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 Jiashi Feng. Jiashi Feng 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 | 4 | |
| 3 | Deep Long-Tailed Learning: A Surveybreakdown → | 268 |
| 4 | 74 | |
| 5 | 80 | |
| 6 | 27 | |
| 7 | Revisiting Knowledge Distillation via Label Smoothing Regularizationbreakdown → | 306 |
| 8 | 11 | |
| 9 | ConvBERT: Improving BERT with Span-based Dynamic Convolution | 7 |
| 10 | 23 | |
| 11 | 32 | |
| 12 | MultiSeg: Semantically Meaningful, Scale-Diverse Segmentations From Minimal User Input | 1 |
| 13 | Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms | 1 |
| 14 | Transferable Meta Learning Across Domains | 14 |
| 15 | Policy Optimization with Demonstrations | 37 |
| 16 | 110 | |
| 17 | 27 | |
| 18 | Multi-Path Feedback Recurrent Neural Network for Scene Parsing | 10 |
| 19 | 160 | |
| 20 | Robust Logistic Regression and Classification | 61 |
About Jiashi Feng
Jiashi Feng is a scholar working on Computer Vision and Pattern Recognition, Computational Mathematics and Artificial Intelligence, having authored 278 papers that have together received 26.0k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (72 papers), Domain Adaptation and Few-Shot Learning (64 papers) and Advanced Image and Video Retrieval Techniques (63 papers). The work is most often cited by research in Computational Mathematics (778 citations), Computer Vision and Pattern Recognition (18.0k citations) and Media Technology (3.1k citations). Jiashi Feng has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Shuicheng Yan, Qibin Hou, Daquan Zhou, Ming‐Ming Cheng, Yunpeng Chen, Kate Saenko, Baochen Sun, Zhouchen Lin, Yunchao Wei and Canyi Lu. Their work appears in journals such as Nature Communications, Nature Neuroscience and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.