Guang-He Lee
Impact in
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- Context-Aware Activity Recognition Systems
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- Hand Gesture Recognition Systems
Papers in
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- Anomaly Detection Techniques and Applications 4
- Adversarial Robustness in Machine Learning 2
- Machine Learning and Data Classification 2
- Machine Learning and Algorithms 2
- Domain Adaptation and Few-Shot Learning 1
- Speech and dialogue systems 1
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- Computational Drug Discovery Methods 4
- Co-authors
- Dina Katabi (3 shared papers)Chen-Yu Hsu (3 shared papers)Yonglong Tian (1 shared paper)Hao He (1 shared paper)Rumen Hristov (1 shared paper)M. Zhao (1 shared paper)Yun-Nung Chen (1 shared paper)Tzyy‐Shyang Lin (1 shared paper)
- Journals
- Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (1 paper)ACS Polymers Au (1 paper)Digital Access to Scholarship at Harvard (DASH) (Harvard University) (1 paper)International Conference on Learning Representations (2 papers)DSpace@MIT (Massachusetts Institute of Technology) (1 paper)
- Partner nations
- United StatesTaiwan
In The Last Decade
Guang-He Lee
12 papers receiving 259 citations
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 90
- Human-Computer Interaction 24
- Biomedical Engineering 99
- Artificial Intelligence 64
- Signal Processing 21
Countries citing papers authored by Guang-He Lee
This map shows the geographic impact of Guang-He Lee'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 Guang-He Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guang-He Lee more than expected).
Fields of papers citing papers by Guang-He Lee
This network shows the impact of papers produced by Guang-He Lee. 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 Guang-He Lee. The network helps show where Guang-He Lee may publish in the future.
Co-authors
The 16 scholars most cited alongside Guang-He Lee, 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 | 2018 | 134 | |
| 2 | 2019 | 67 | |
| 3 | 2022 | 27 | |
| 4 | 2017 | 14 | |
| 5 | Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers | 2019 | 9 |
| 6 | 2015 | 5 | |
| 7 | Self-Supervised Learning of Appliance Usage | 2020 | 4 |
| 8 | $\ell_1$ Adversarial Robustness Certificates: a Randomized Smoothing Approach | 2019 | 3 |
| 9 | 2019 | 2 | |
| 10 | A Stratified Approach to Robustness for Randomly Smoothed Classifiers. | 2019 | 1 |
| 11 | Oblique Decision Trees from Derivatives of ReLU Networks. | 2019 | 1 |
| 12 | Towards Robust, Locally Linear Deep Networks | 2019 | 1 |
About Guang-He Lee
Guang-He Lee is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Molecular Biology and Information Systems, having authored 12 papers that have together received 268 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (4 papers), Computational Drug Discovery Methods (4 papers), Adversarial Robustness in Machine Learning (2 papers), Context-Aware Activity Recognition Systems (2 papers), Machine Learning and Data Classification (2 papers), Machine Learning and Algorithms (2 papers), Domain Adaptation and Few-Shot Learning (1 paper) and Speech and dialogue systems (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (90 citations), Human-Computer Interaction (24 citations), Biomedical Engineering (99 citations), Artificial Intelligence (64 citations) and Signal Processing (21 citations). Guang-He Lee has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Dina Katabi, Chen-Yu Hsu, Yonglong Tian, Hao He, Rumen Hristov, M. Zhao, Yun-Nung Chen, Tzyy‐Shyang Lin, Tommi Jaakkola and Bradley D. Olsen. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, ACS Polymers Au, Digital Access to Scholarship at Harvard (DASH) (Harvard University), International Conference on Learning Representations and DSpace@MIT (Massachusetts Institute of Technology).
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.