Bert Huang
Impact in
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- Online Learning and Analytics
- Artificial Intelligence top 2%
- Topic Modeling
- Advanced Graph Neural Networks
- Hate Speech and Cyberbullying Detection
- Sentiment Analysis and Opinion Mining
Papers in
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- Bayesian Modeling and Causal Inference 11
- Machine Learning and Algorithms 10
- Data Stream Mining Techniques 7
- Machine Learning and Data Classification 7
- Sentiment Analysis and Opinion Mining 6
- Topic Modeling 5
- Domain Adaptation and Few-Shot Learning 5
- Advanced Graph Neural Networks 5
- Co-authors
- Lise GetoorTony JebaraBen LondonDan GoldwasserStephen H. BachArti RameshHal DauméGalileo Namata
- Journals
- Journal of Machine Learning Research (3 papers)Neural Networks (1 paper)IEEE Transactions on Multimedia (1 paper)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Bert Huang
49 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 117
- Computer Science Applications 160
- Artificial Intelligence 766
- Statistical and Nonlinear Physics 140
- Computer Vision and Pattern Recognition 228
- Health Informatics 12
Countries citing papers authored by Bert Huang
This map shows the geographic impact of Bert 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 Bert Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bert Huang more than expected).
Fields of papers citing papers by Bert Huang
This network shows the impact of papers produced by Bert 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 Bert Huang. The network helps show where Bert Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bert Huang, 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 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | A General Framework for Adversarial Label Learning | 2021 | 4 |
| 4 | 2020 | 24 | |
| 5 | 2020 | 13 | |
| 6 | Deep Generative Models for Generating Labeled Graphs. | 2019 | 1 |
| 7 | Sparse-Matrix Belief Propagation | 2018 | 1 |
| 8 | Beyond Parity: Fairness Objectives for Collaborative Filtering | 2017 | 17 |
| 9 | Stability and generalization in structured prediction | 2016 | 15 |
| 10 | Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees | 2015 | 3 |
| 11 | 2014 | 65 | |
| 12 | {PAC-Bayesian Collective Stability} | 2014 | 7 |
| 13 | Hinge-loss Markov random fields: convex inference for structured prediction | 2013 | 33 |
| 14 | Query-driven active surveying for collective classification | 2012 | 100 |
| 15 | Fast b-matching via Sufficient Selection Belief Propagation | 2011 | 25 |
| 16 | 2011 | 178 | |
| 17 | Collaborative Filtering via Rating Concentration | 2010 | 1 |
| 18 | IBM Research TRECVID-2010 Video Copy Detection and Multimedia Event Detection System | 2010 | 15 |
| 19 | Maximum Entropy Density Estimation with Incomplete Presence-Only Data | 2009 | 6 |
| 20 | Loopy Belief Propagation for Bipartite Maximum Weight b-Matching | 2007 | 61 |
About Bert Huang
Bert Huang is a scholar working on Computational Mathematics, Artificial Intelligence, Computer Science Applications, Health Informatics and Statistical and Nonlinear Physics, having authored 50 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (11 papers), Machine Learning and Algorithms (10 papers), Data Stream Mining Techniques (7 papers), Machine Learning and Data Classification (7 papers), Sentiment Analysis and Opinion Mining (6 papers), Topic Modeling (5 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Advanced Graph Neural Networks (5 papers). The work is most often cited by research in Computer Science Applications (160 citations), Artificial Intelligence (766 citations), Statistical and Nonlinear Physics (140 citations), Computer Vision and Pattern Recognition (228 citations) and Health Informatics (12 citations). Bert Huang has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Lise Getoor, Tony Jebara, Ben London, Dan Goldwasser, Stephen H. Bach, Arti Ramesh, Hal Daumé, Galileo Namata, Apostol Natsev and Michele Merler. Their work appears in journals such as Journal of Machine Learning Research, Neural Networks, IEEE Transactions on Multimedia, IEEE/ACM Transactions on Computational Biology and Bioinformatics and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.