Zhiding Yu
-
- Advanced Neural Network Applications 24
- Advanced Image and Video Retrieval Techniques 14
- Multimodal Machine Learning Applications 12
- Advanced Vision and Imaging 11
- Face and Expression Recognition 10
- Human Pose and Action Recognition 8
- Signal Processing top 0.5%
- Artificial Intelligence top 0.5%
- Domain Adaptation and Few-Shot Learning 20
- Adversarial Robustness in Machine Learning 7
- Media Technology top 1%
- Co-authors
- Weiyang LiuLe SongYandong WenMing LiBhiksha RajCha ZhangJan KautzXiaodong Yang
- Journals
- International Journal of Computer Vision (3 papers)Pattern Recognition (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Zhiding Yu
71 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Computer Vision and Pattern Recognition 4.1k
- Signal Processing 838
- Artificial Intelligence 1.6k
- Media Technology 365
- Experimental and Cognitive Psychology 377
Countries citing papers authored by Zhiding Yu
This map shows the geographic impact of Zhiding Yu'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 Zhiding Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhiding Yu more than expected).
Fields of papers citing papers by Zhiding Yu
This network shows the impact of papers produced by Zhiding Yu. 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 Zhiding Yu. The network helps show where Zhiding Yu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhiding Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2023 | 32 | |
| 4 | 2023 | 48 | |
| 5 | 2023 | 10 | |
| 6 | 2022 | 16 | |
| 7 | Adversarially Robust 3D Point Cloud Recognition Using Self-Supervisions | 2021 | 16 |
| 8 | 2021 | 62 | |
| 9 | Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection | 2021 | 5 |
| 10 | 2020 | 22 | |
| 11 | 2020 | 163 | |
| 12 | Neural Networks with Recurrent Generative Feedback | 2020 | 3 |
| 13 | Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning | 2020 | 0 |
| 14 | Confidence Regularized Self-Trainingbreakdown → | 2019 | 488 |
| 15 | Compressive Hyperspherical Energy Minimization. | 2019 | 1 |
| 16 | Joint Discriminative and Generative Learning for Person Re-Identificationbreakdown → | 2019 | 583 |
| 17 | Decoupled Networks | 2018 | 7 |
| 18 | Deep Hyperspherical Learning | 2017 | 21 |
| 19 | 2017 | 190 | |
| 20 | Generalized transitive distance with minimum spanning random forest | 2015 | 11 |
About Zhiding Yu
Zhiding Yu is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Artificial Intelligence, Media Technology and Signal Processing, having authored 75 papers that have together received 5.0k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (24 papers), Domain Adaptation and Few-Shot Learning (20 papers), Advanced Image and Video Retrieval Techniques (14 papers), Multimodal Machine Learning Applications (12 papers), Advanced Vision and Imaging (11 papers), Face and Expression Recognition (10 papers), Human Pose and Action Recognition (8 papers) and Adversarial Robustness in Machine Learning (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.1k citations), Signal Processing (838 citations), Artificial Intelligence (1.6k citations), Media Technology (365 citations) and Experimental and Cognitive Psychology (377 citations). Zhiding Yu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Weiyang Liu, Le Song, Yandong Wen, Ming Li, Bhiksha Raj, Cha Zhang, Jan Kautz, Xiaodong Yang, B. V. K. Vijaya Kumar and Yang Zou. Their work appears in journals such as International Journal of Computer Vision, Pattern Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Cybernetics and ACM Transactions on Graphics.
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.