| 2025 | ACL | GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language Models. | Tao Zhang, Ziqian Zeng, YuxiangXiao YuxiangXiao, Huiping Zhuang, Cen Chen, James R. Foulds, Shimei Pan |
| 2024 | ICMI | DoubleDistillation: Enhancing LLMs for Informal Text Analysis using Multistage Knowledge Distillation from Speech and Text. | Fatema Hasan, Yulong Li, James R. Foulds, Shimei Pan, Bishwaranjan Bhattacharjee |
| 2024 | IUI | Killer Apps: Low-Speed, Large-Scale AI Weapons. | Philip Feldman, Aaron Dant, James R. Foulds |
| 2023 | ICMLA | Flood-ResNet50: Optimized Deep Learning Model for Efficient Flood Detection on Edge Device. | Md. Azim Khan, Nadeem Ahmed, Joyce Padela, Muhammad Shehrose Raza, Aryya Gangopadhyay, Jianwu Wang, James R. Foulds, Carl E. Busart, Robert F. Erbacher |
| 2023 | IUI | The Keyword Explorer Suite: A Toolkit for Understanding Online Populations. | Philip Feldman, Shimei Pan, James R. Foulds |
| 2022 | IGARSS | Benchmarking Probabilistic Machine Learning Models for Arctic Sea Ice Forecasting. | Sahara Ali, Seraj Al Mahmud Mostafa, Xingyan Li, Sara Khanjani, Jianwu Wang, James R. Foulds, Vandana P. Janeja |
| 2022 | IUI | Do Humans Prefer Debiased AI Algorithms? A Case Study in Career Recommendation. | Clarice Wang, Kathryn Wang, Andrew Bian, Rashidul Islam, Kamrun Naher Keya, James R. Foulds, Shimei Pan |
| 2021 | AIES | Can We Obtain Fairness For Free? | Rashidul Islam, Shimei Pan, James R. Foulds |
| 2021 | ICWSM | Analyzing COVID-19 Tweets with Transformer-based Language Models. | Philip Feldman, Sim Tiwari, Charissa S. L. Cheah, James R. Foulds, Shimei Pan |
| 2021 | ICWSM | Fair Representation Learning for Heterogeneous Information Networks. | Ziqian Zeng, Rashidul Islam, Kamrun Naher Keya, James R. Foulds, Yangqiu Song, Shimei Pan |
| 2021 | WWW | Debiasing Career Recommendations with Neural Fair Collaborative Filtering. | Rashidul Islam, Kamrun Naher Keya, Ziqian Zeng, Shimei Pan, James R. Foulds |
| 2021 | SDM | Equitable Allocation of Healthcare Resources with Fair Survival Models. | Kamrun Naher Keya, Rashidul Islam, Shimei Pan, Ian Stockwell, James R. Foulds |
| 2020 | ICDE | An Intersectional Definition of Fairness. | James R. Foulds, Rashidul Islam, Kamrun Naher Keya, Shimei Pan |
| 2020 | IJCAI | Variational Bayes in Private Settings (VIPS) (Extended Abstract). | James R. Foulds, Mijung Park, Kamalika Chaudhuri, Max Welling |
| 2020 | SDM | Bayesian Modeling of Intersectional Fairness: The Variance of Bias. | James R. Foulds, Rashidul Islam, Kamrun Naher Keya, Shimei Pan |
| 2019 | NAACL | Scalable Collapsed Inference for High-Dimensional Topic Models. | Rashidul Islam, James R. Foulds |
| 2018 | AISTATS | Mixed Membership Word Embeddings for Computational Social Science. | James R. Foulds |
| 2017 | AISTATS | DP-EM: Differentially Private Expectation Maximization. | Mijung Park, James R. Foulds, Kamalika Choudhary, Max Welling |
| 2016 | UAI | On the Theory and Practice of Privacy-Preserving Bayesian Data Analysis. | James R. Foulds, Joseph Geumlek, Max Welling, Kamalika Chaudhuri |
| 2015 | ACL | Weakly Supervised Models of Aspect-Sentiment for Online Course Discussion Forums. | Arti Ramesh, Shachi H. Kumar, James R. Foulds, Lise Getoor |
| 2015 | ACL | Joint Models of Disagreement and Stance in Online Debate. | Dhanya Sridhar, James R. Foulds, Bert Huang, Lise Getoor, Marilyn A. Walker |
| 2015 | EMNLP | RELLY: Inferring Hypernym Relationships Between Relational Phrases. | Adam Grycner, Gerhard Weikum, Jay Pujara, James R. Foulds, Lise Getoor |
| 2015 | ICML | Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models. | James R. Foulds, Shachi H. Kumar, Lise Getoor |
| 2015 | ICML | HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades. | Xinran He, Theodoros Rekatsinas, James R. Foulds, Lise Getoor, Yan Liu |
| 2015 | KDD | Collective Spammer Detection in Evolving Multi-Relational Social Networks. | Shobeir Fakhraei, James R. Foulds, Madhusudana V. S. Shashanka, Lise Getoor |
| 2015 | RecSys | HyPER: A Flexible and Extensible Probabilistic Framework for Hybrid Recommender Systems. | Pigi Kouki, Shobeir Fakhraei, James R. Foulds, Magdalini Eirinaki, Lise Getoor |
| 2014 | UAI | Annealing Paths for the Evaluation of Topic Models. | James R. Foulds, Padhraic Smyth |
| 2013 | EMNLP | Modeling Scientific Impact with Topical Influence Regression. | James R. Foulds, Padhraic Smyth |
| 2013 | KDD | Stochastic collapsed variational Bayesian inference for latent Dirichlet allocation. | James R. Foulds, Levi Boyles, Christopher DuBois, Padhraic Smyth, Max Welling |
| 2011 | ICWSM | Latent Set Models for Two-Mode Network Data. | Christopher DuBois, James R. Foulds, Padhraic Smyth |
| 2011 | SDM | Multi-Instance Mixture Models. | James R. Foulds, Padhraic Smyth |
| 2010 | DIS | Speeding Up and Boosting Diverse Density Learning. | James R. Foulds, Eibe Frank |