Po-Sen Huang
- Artificial Intelligence top 0.5%
- Information Systems top 1%
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 2%
- Management Science and Operations Research top 5%
- Co-authors
- Li DengXiaodong HeAlex AceroLarry HeckJianfeng GaoMark Hasegawa‐JohnsonParis SmaragdisYelong Shen
- Topics
- Topic Modeling (15 papers)Natural Language Processing Techniques (10 papers)Music and Audio Processing (9 papers)
- Journals
- Personal and Ubiquitous ComputingFrontiers in Bioscience-LandmarkEmpirical Methods in Natural Language Processing
- Partner nations
- United StatesUnited KingdomTaiwan
In The Last Decade
Po-Sen Huang
38 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Artificial Intelligence 1.4k
- Information Systems 571
- Computer Vision and Pattern Recognition 542
- Signal Processing 345
- Management Science and Operations Research 96
Countries citing papers authored by Po-Sen Huang
This map shows the geographic impact of Po-Sen Huang'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 Po-Sen Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Po-Sen Huang more than expected).
Fields of papers citing papers by Po-Sen Huang
This network shows the impact of papers produced by Po-Sen Huang. 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 Po-Sen Huang. The network helps show where Po-Sen Huang may publish in the future.
Co-authorship network of co-authors of Po-Sen Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Po-Sen Huang. A scholar is included among the top collaborators of Po-Sen Huang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Po-Sen Huang. Po-Sen Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | Self-supervised Adversarial Robustness for the Low-label, High-data Regime | 6 |
| 3 | Towards Verified Robustness under Text Deletion Interventions | 3 |
| 4 | 74 | |
| 5 | 4 | |
| 6 | 64 | |
| 7 | Are Labels Required for Improving Adversarial Robustness | 24 |
| 8 | Execution-Guided Neural Program Decoding | 15 |
| 9 | M-Walk: Learning to Walk in Graph with Monte Carlo Tree Search | 1 |
| 10 | 1 | |
| 11 | Implicit ReasoNet: Modeling Large-Scale Structured Relationships with Shared Memory | 5 |
| 12 | Neural Phrase-based Machine Translation | 12 |
| 13 | SEQUENCE MODELING VIA SEGMENTATIONS | 11 |
| 14 | 27 | |
| 15 | Traversing Knowledge Graph in Vector Space without Symbolic Space Guidance | 6 |
| 16 | 2 | |
| 17 | Learning deep structured semantic models for web search using clickthrough databreakdown → | 1116 |
| 18 | 3 | |
| 19 | 2 | |
| 20 | Multi-sensory features for personnel detection at border crossings | 8 |
About Po-Sen Huang
Po-Sen Huang is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 38 papers that have together received 1.9k indexed citations. Recurring topics across this work include Topic Modeling (15 papers), Natural Language Processing Techniques (10 papers) and Music and Audio Processing (9 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Signal Processing (345 citations) and Computer Vision and Pattern Recognition (542 citations). Po-Sen Huang has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include Li Deng, Xiaodong He, Alex Acero, Larry Heck, Jianfeng Gao, Mark Hasegawa‐Johnson, Paris Smaragdis, Jianfeng Gao, Yelong Shen and Pushmeet Kohli. Their work appears in journals such as Personal and Ubiquitous Computing, Frontiers in Bioscience-Landmark and Empirical Methods in Natural Language Processing.
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.