Mengye Ren
Impact in
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Artificial Intelligence top 2%
- Domain Adaptation and Few-Shot Learning
- Machine Learning and Data Classification
- Topic Modeling
Papers in
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- Advanced Neural Network Applications 7
- Multimodal Machine Learning Applications 5
- Advanced Image and Video Retrieval Techniques 3
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- Domain Adaptation and Few-Shot Learning 5
- Machine Learning and Data Classification 2
- Advanced Graph Neural Networks 2
- Co-authors
- Raquel Urtasun (11 shared papers)Richard S. Zemel (4 shared papers)Ryan Kiros (2 shared papers)Wenyuan Zeng (3 shared papers)Bin Yang (1 shared paper)Bin Yang (3 shared papers)Sivabalan Manivasagam (2 shared papers)Aidan N. Gomez (1 shared paper)
- Journals
- International Conference on Learning Representations (1 paper)arXiv (Cornell University) (6 papers)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)International Conference on Machine Learning (2 papers)
- Partner nations
- CanadaUnited States
In The Last Decade
Mengye Ren
16 papers receiving 960 citations
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 716
- Artificial Intelligence 615
- Automotive Engineering 140
- Computational Mathematics 4
- Computer Graphics and Computer-Aided Design 16
Countries citing papers authored by Mengye Ren
This map shows the geographic impact of Mengye Ren'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 Mengye Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mengye Ren more than expected).
Fields of papers citing papers by Mengye Ren
This network shows the impact of papers produced by Mengye Ren. 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 Mengye Ren. The network helps show where Mengye Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Mengye Ren, 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 | 2015 | 241 | |
| 2 | Learning to Reweight Examples for Robust Deep Learning | 2018 | 152 |
| 3 | 2018 | 120 | |
| 4 | 2021 | 104 | |
| 5 | Image Question Answering: A Visual Semantic Embedding Model and a New Dataset. | 2015 | 77 |
| 6 | Meta-Learning for Semi-Supervised Few-Shot Classification | 2018 | 73 |
| 7 | The Reversible Residual Network: Backpropagation Without Storing Activations | 2017 | 66 |
| 8 | 2021 | 59 | |
| 9 | Identifying Unknown Instances for Autonomous Driving | 2019 | 35 |
| 10 | 2021 | 28 | |
| 11 | Graph HyperNetworks for Neural Architecture Search. | 2018 | 16 |
| 12 | 2021 | 14 | |
| 13 | 2023 | 9 | |
| 14 | SketchEmbedNet: Learning Novel Concepts by Imitating Drawings | 2021 | 7 |
| 15 | LoCo: Local Contrastive Representation Learning | 2020 | 2 |
| 16 | 2020 | 1 |
About Mengye Ren
Mengye Ren is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Automotive Engineering, Aerospace Engineering and Computer Networks and Communications, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (7 papers), Multimodal Machine Learning Applications (5 papers), Autonomous Vehicle Technology and Safety (5 papers), Domain Adaptation and Few-Shot Learning (5 papers), Advanced Image and Video Retrieval Techniques (3 papers), Robotics and Sensor-Based Localization (2 papers), Machine Learning and Data Classification (2 papers) and Advanced Graph Neural Networks (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (716 citations), Artificial Intelligence (615 citations), Automotive Engineering (140 citations), Computational Mathematics (4 citations) and Computer Graphics and Computer-Aided Design (16 citations). Mengye Ren has collaborated with scholars based in Canada and United States. Frequent co-authors include Raquel Urtasun, Richard S. Zemel, Ryan Kiros, Wenyuan Zeng, Bin Yang, Bin Yang, Sivabalan Manivasagam, Aidan N. Gomez, Roger Grosse and Kelvin Wong. Their work appears in journals such as International Conference on Learning Representations, arXiv (Cornell University), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and International Conference on Machine Learning.
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.