Mingming Gong
Impact in
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- Advanced Vision and Imaging
- Advanced Neural Network Applications
- Generative Adversarial Networks and Image Synthesis
- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
- Artificial Intelligence top 1%
- Domain Adaptation and Few-Shot Learning
- Machine Learning and Data Classification
Papers in
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- Generative Adversarial Networks and Image Synthesis 20
- Advanced Neural Network Applications 12
- Advanced Image and Video Retrieval Techniques 8
- Multimodal Machine Learning Applications 8
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- Domain Adaptation and Few-Shot Learning 26
- Bayesian Modeling and Causal Inference 12
- Machine Learning and Data Classification 10
- Co-authors
- Dacheng Tao (33 shared papers)Huan Fu (13 shared papers)Kayhan N. Batmanghelich (17 shared papers)Tongliang Liu (33 shared papers)Chaohui Wang (1 shared paper)Kun Zhang (16 shared papers)Ya Li (2 shared papers)Xinmei Tian (3 shared papers)
- Journals
- Pattern Recognition (5 papers)IEEE Transactions on Neural Networks and Learning Systems (4 papers)IEEE Transactions on Image Processing (4 papers)International Journal of Computer Vision (4 papers)IEEE Transactions on Multimedia (4 papers)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Mingming Gong
122 papers receiving 5.3k citations
Mingming Gong's Hit Papers
Peers
Comparison fields: 5 of 101
- Computer Vision and Pattern Recognition 3.2k
- Artificial Intelligence 1.5k
- Health Informatics 49
- Automotive Engineering 153
- Media Technology 135
Countries citing papers authored by Mingming Gong
This map shows the geographic impact of Mingming Gong'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 Mingming Gong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingming Gong more than expected).
Fields of papers citing papers by Mingming Gong
This network shows the impact of papers produced by Mingming Gong. 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 Mingming Gong. The network helps show where Mingming Gong may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingming Gong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep Ordinal Regression Network for Monocular Depth Estimation Hit paper breakdown → | 2018 | 1452 |
| 2 | Deep Domain Generalization via Conditional Invariant Adversarial Networks Hit paper breakdown → | 2018 | 401 |
| 3 | CRIS: CLIP-Driven Referring Image Segmentation Hit paper breakdown → | 2022 | 288 |
| 4 | 2019 | 191 | |
| 5 | 2020 | 162 | |
| 6 | 2019 | 151 | |
| 7 | 2017 | 144 | |
| 8 | 3D-FUTURE: 3D Furniture Shape with TextURE Hit paper breakdown → | 2021 | 143 |
| 9 | 2021 | 136 | |
| 10 | Domain Adaptation with Conditional Transferable Components. | 2016 | 132 |
| 11 | 2018 | 128 | |
| 12 | Machine learning (ML)-centric resource management in cloud computing: A review and future directions Hit paper breakdown → | 2022 | 121 |
| 13 | 2018 | 116 | |
| 14 | Deep Reinforcement Learning-based scheduling for optimizing system load and response time in edge and fog computing environments Hit paper breakdown → | 2023 | 95 |
| 15 | 2015 | 93 | |
| 16 | Domain Generalization via Entropy Regularization | 2020 | 91 |
| 17 | 2022 | 87 | |
| 18 | 2021 | 75 | |
| 19 | 2018 | 74 | |
| 20 | 2021 | 74 |
About Mingming Gong
Mingming Gong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Statistics and Probability, Computational Mechanics and Computer Graphics and Computer-Aided Design, having authored 142 papers that have together received 5.4k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (26 papers), Generative Adversarial Networks and Image Synthesis (20 papers), Advanced Neural Network Applications (12 papers), Bayesian Modeling and Causal Inference (12 papers), Machine Learning and Data Classification (10 papers), Advanced Image and Video Retrieval Techniques (8 papers), Multimodal Machine Learning Applications (8 papers) and 3D Shape Modeling and Analysis (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.2k citations), Artificial Intelligence (1.5k citations), Health Informatics (49 citations), Automotive Engineering (153 citations) and Media Technology (135 citations). Mingming Gong has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Dacheng Tao, Huan Fu, Kayhan N. Batmanghelich, Tongliang Liu, Chaohui Wang, Kun Zhang, Ya Li, Xinmei Tian, Bernhard Schölkopf and Shanshan Zhao. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Image Processing, International Journal of Computer Vision and IEEE Transactions on Multimedia.
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.