| 2025 | CCS | PickleBall: Secure Deserialization of Pickle-based Machine Learning Models. | Andreas D. Kellas, Neophytos Christou, Wenxin Jiang, Penghui Li, Laurent Simon, Yaniv David, Vasileios P. Kemerlis, James C. Davis, Junfeng Yang |
| 2025 | ICSE | Recommending Pre-Trained Models for IoT Devices. | Parth V. Patil, Wenxin Jiang, Huiyun Peng, Daniel Lugo, Kelechi G. Kalu, Josh LeBlanc, Lawrence Smith, Hyeonwoo Heo, Nathanael Aou, James C. Davis |
| 2024 | ESEM | What do we know about Hugging Face? A systematic literature review and quantitative validation of qualitative claims. | Jason Jones, Wenxin Jiang, Nicholas Synovic, George K. Thiruvathukal, James C. Davis |
| 2024 | ISSTA | Interoperability in Deep Learning: A User Survey and Failure Analysis of ONNX Model Converters. | Purvish Jajal, Wenxin Jiang, Arav Tewari, Erik Kocinare, Joseph Woo, Anusha Sarraf, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis |
| 2024 | MSR | PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software. | Wenxin Jiang, Jerin Yasmin, Jason Jones, Nicholas Synovic, Jiashen Kuo, Nathaniel Bielanski, Yuan Tian, George K. Thiruvathukal, James C. Davis |
| 2023 | ICSE | An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry. | Wenxin Jiang, Nicholas Synovic, Matt Hyatt, Taylor R. Schorlemmer, Rohan Sethi, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis |
| 2023 | MSR | PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages. | Wenxin Jiang, Nicholas Synovic, Purvish Jajal, Taylor R. Schorlemmer, Arav Tewari, Bhavesh Pareek, George K. Thiruvathukal, James C. Davis |
| 2013 | COLT | General Oracle Inequalities for Gibbs Posterior with Application to Ranking. | Cheng Li, Wenxin Jiang, Martin A. Tanner |
| 2011 | ISMIS | Report of the ISMIS 2011 Contest: Music Information Retrieval. | Bozena Kostek, Adam Kupryjanow, Pawel Zwan, Wenxin Jiang, Zbigniew W. Ras, Marcin Wojnarski, Joanna Swietlicka |
| 2008 | ICDM | Harmonic Blind Sound Source Isolation Enhanced by Spectrum Clustering. | Cynthia Xin Zhang, Wenxin Jiang, Zbigniew W. Ras |
| 2008 | ISMIS | Mining Scalar Representations in a Non-tagged Music Database. | Rory A. Lewis, Wenxin Jiang, Zbigniew W. Ras |
| 2006 | ICML | A note on mixtures of experts for multiclass responses: approximation rate and Consistent Bayesian Inference. | Yang Ge, Wenxin Jiang |
| 2001 | AISTATS | Is regularization unnecessary for boosting?. | Wenxin Jiang |
| 2001 | ICML | Some Theoretical Aspects of Boosting in the Presence of Noisy Data. | Wenxin Jiang |
| 1999 | AISTATS | Hierarchical mixtures-of-experts for generalized linear models: some results on denseness and consistency. | Wenxin Jiang, Martin A. Tanner |
| 1998 | UAI | Hierarchical Mixtures-of-Experts for Exponential Family Regression Models with Generalized Linear Mean Functions: A Survey of Approximation and Consistency Results. | Wenxin Jiang, Martin A. Tanner |