Mingyuan Zhou
Impact in
- Computational Mathematics top 5%
-
- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
Papers in
-
- Statistical Methods and Inference 9
-
- Bayesian Methods and Mixture Models 20
- Topic Modeling 17
- Domain Adaptation and Few-Shot Learning 17
- Natural Language Processing Techniques 9
- Gaussian Processes and Bayesian Inference 9
- Co-authors
- Lawrence CarinGuillermo SapiroJohn PaisleyZhengming XingDavid B. DunsonBo ChenLingbo LiLu Ren
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (4 papers)Journal of the American Statistical Association (3 papers)International Journal of Biological Macromolecules (2 papers)Bioinformatics (2 papers)Bayesian Analysis (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Mingyuan Zhou
110 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 154
- Computational Mathematics 27
- Computer Vision and Pattern Recognition 641
- Media Technology 212
- Artificial Intelligence 728
- Statistics and Probability 158
Countries citing papers authored by Mingyuan Zhou
This map shows the geographic impact of Mingyuan Zhou'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 Mingyuan Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingyuan Zhou more than expected).
Fields of papers citing papers by Mingyuan Zhou
This network shows the impact of papers produced by Mingyuan Zhou. 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 Mingyuan Zhou. The network helps show where Mingyuan Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingyuan Zhou, 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 | 2024 | 3 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 3 | |
| 5 | 2021 | 6 | |
| 6 | 2020 | 30 | |
| 7 | 2020 | 46 | |
| 8 | Meta-Learning without Memorization | 2020 | 11 |
| 9 | Learnable Bernoulli Dropout for Bayesian Deep Learning | 2020 | 1 |
| 10 | Semi-Implicit Graph Variational Auto-Encoders | 2019 | 18 |
| 11 | Variational Hetero-Encoder Randomized Generative Adversarial Networks for Joint Image-Text Modeling | 2019 | 4 |
| 12 | Variational Graph Recurrent Neural Networks | 2019 | 13 |
| 13 | WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling | 2018 | 4 |
| 14 | Inter and Intra Topic Structure Learning with Word Embeddings | 2018 | 7 |
| 15 | ARM: Augment-REINFORCE-Merge Gradient for Discrete Latent Variable Models. | 2018 | 1 |
| 16 | Bayesian Poisson tucker decomposition for learning the structure of international relations | 2016 | 9 |
| 17 | Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices | 2015 | 9 |
| 18 | Infinite edge partition models for overlapping community detection and link prediction | 2015 | 32 |
| 19 | Beta-Negative Binomial Process and Exchangeable Random Partitions for Mixed-Membership Modeling | 2014 | 2 |
| 20 | Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations | 2009 | 147 |
About Mingyuan Zhou
Mingyuan Zhou is a scholar working on Statistics and Probability, Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing and General Social Sciences, having authored 113 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (20 papers), Topic Modeling (17 papers), Domain Adaptation and Few-Shot Learning (17 papers), Generative Adversarial Networks and Image Synthesis (11 papers), Statistical Methods and Inference (9 papers), Natural Language Processing Techniques (9 papers), Multimodal Machine Learning Applications (9 papers) and Gaussian Processes and Bayesian Inference (9 papers). The work is most often cited by research in Computational Mathematics (27 citations), Computer Vision and Pattern Recognition (641 citations), Media Technology (212 citations), Artificial Intelligence (728 citations) and Statistics and Probability (158 citations). Mingyuan Zhou has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Lawrence Carin, Guillermo Sapiro, John Paisley, Zhengming Xing, David B. Dunson, Bo Chen, Lingbo Li, Lu Ren, Xiaoning Qian and Lu Ren. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of the American Statistical Association, International Journal of Biological Macromolecules, Bioinformatics and Bayesian Analysis.
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.