He He
Impact in
- Artificial Intelligence top 0.5%
- Topic Modeling
- Natural Language Processing Techniques
- Speech and dialogue systems
- Domain Adaptation and Few-Shot Learning
-
- Multimodal Machine Learning Applications
- Advanced Image Processing Techniques
Papers in
-
- Topic Modeling 33
- Natural Language Processing Techniques 25
- Speech and dialogue systems 6
- Domain Adaptation and Few-Shot Learning 6
- Machine Learning and Algorithms 4
- Machine Learning and Data Classification 4
-
- Multimodal Machine Learning Applications 10
- Co-authors
- Dongrui Wu (5 shared papers)Wan-Chi Siu (1 shared paper)Percy Liang (4 shared papers)Hal Daumé (9 shared papers)Jason Eisner (4 shared papers)Zhiliang Hong (1 shared paper)Eunsol Choi (1 shared paper)Yejin Choi (1 shared paper)
- Journals
- Physica A Statistical Mechanics and its Applications (3 papers)IEEE Transactions on Neural Systems and Rehabilitation Engineering (2 papers)IEEE Access (2 papers)Expert Opinion on Drug Safety (1 paper)IEEE Transactions on Consumer Electronics (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
He He
79 papers receiving 2.4k citations
He He's Hit Papers
Peers
Comparison fields: 5 of 152
- Artificial Intelligence 1.4k
- Computer Vision and Pattern Recognition 632
- Media Technology 238
- Cognitive Neuroscience 382
- Human-Computer Interaction 95
Countries citing papers authored by He He
This map shows the geographic impact of He He'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 He He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites He He more than expected).
Fields of papers citing papers by He He
This network shows the impact of papers produced by He He. 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 He He. The network helps show where He He may publish in the future.
Co-authors
The 25 scholars most cited alongside He He, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | QuAC: Question Answering in Context Hit paper breakdown → | 2018 | 352 |
| 2 | Transfer Learning for Brain–Computer Interfaces: A Euclidean Space Data Alignment Approach Hit paper breakdown → | 2019 | 328 |
| 3 | 2011 | 215 | |
| 4 | 2018 | 152 | |
| 5 | 2003 | 137 | |
| 6 | Solving olympiad geometry without human demonstrations Hit paper breakdown → | 2024 | 111 |
| 7 | 2017 | 101 | |
| 8 | 2019 | 88 | |
| 9 | Learning to Search in Branch and Bound Algorithms | 2014 | 78 |
| 10 | 2016 | 77 | |
| 11 | 2020 | 76 | |
| 12 | 2020 | 64 | |
| 13 | 2018 | 62 | |
| 14 | 2019 | 57 | |
| 15 | 2014 | 50 | |
| 16 | Imitation Learning by Coaching | 2012 | 46 |
| 17 | Opponent modeling in deep reinforcement learning | 2016 | 44 |
| 18 | 2022 | 39 | |
| 19 | 2019 | 32 | |
| 20 | 2022 | 30 |
About He He
He He is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering, having authored 85 papers that have together received 2.6k indexed citations. Recurring topics across this work include Topic Modeling (33 papers), Natural Language Processing Techniques (25 papers), Multimodal Machine Learning Applications (10 papers), Speech and dialogue systems (6 papers), Domain Adaptation and Few-Shot Learning (6 papers), EEG and Brain-Computer Interfaces (5 papers), Machine Learning and Algorithms (4 papers) and Machine Learning and Data Classification (4 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Computer Vision and Pattern Recognition (632 citations), Media Technology (238 citations), Cognitive Neuroscience (382 citations) and Human-Computer Interaction (95 citations). He He has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Dongrui Wu, Wan-Chi Siu, Percy Liang, Hal Daumé, Jason Eisner, Zhiliang Hong, Eunsol Choi, Yejin Choi, Mark Yatskar and Luke Zettlemoyer. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE Access, Expert Opinion on Drug Safety and IEEE Transactions on Consumer Electronics.
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.