| 2025 | ICML | Position: Rethinking LLM Bias Probing Using Lessons from the Social Sciences. | Kirsten N. Morehouse, Siddharth Swaroop, Weiwei Pan |
| 2025 | UAI | Transparent Trade-offs between Properties of Explanations. | Hiwot Belay Tadesse, Alihan Hyk, Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez |
| 2023 | ICML | The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning. | Sarah Rathnam, Sonali Parbhoo, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez |
| 2022 | AISTATS | Wide Mean-Field Bayesian Neural Networks Ignore the Data. | Beau Coker, Wessel P. Bruinsma, David R. Burt, Weiwei Pan, Finale Doshi-Velez |
| 2021 | UAI | Efficient online inference for nonparametric mixture models. | Rylan Schaeffer, Blake Bordelon, Mikail Khona, Weiwei Pan, Ila Rani Fiete |
| 2020 | AAAI | Ensembles of Locally Independent Prediction Models. | Andrew Slavin Ross, Weiwei Pan, Leo A. Celi, Finale Doshi-Velez |
| 2018 | AISTATS | Weighted Tensor Decomposition for Learning Latent Variables with Partial Data. | Omer Gottesman, Weiwei Pan, Finale Doshi-Velez |
| 2016 | ICDM | Optimizing the Multiclass F-Measure via Biconcave Programming. | Harikrishna Narasimhan, Weiwei Pan, Purushottam Kar, Pavlos Protopapas, Harish G. Ramaswamy |
| 2016 | ICNC | A method of off-line signature verification for digital forensics. | Weiwei Pan, Guolong Chen |