| 2025 | ICML | Reward Modeling with Ordinal Feedback: Wisdom of the Crowd. | Shang Liu, Yu Pan, Guanting Chen, Xiaocheng Li |
| 2025 | UAI | Out-of-distribution Robust Optimization. | Zhongze Cai, Hansheng Jiang, Xiaocheng Li |
| 2025 | UAI | Collaborative Prediction: To Join or To Disjoin Datasets. | Kyung Rok Kim, Yansong Wang, Xiaocheng Li, Guanting Chen |
| 2024 | AISTATS | When No-Rejection Learning is Consistent for Regression with Rejection. | Xiaocheng Li, Shang Liu, Chunlin Sun, Hanzhao Wang |
| 2024 | ICLR | Learning to Make Adherence-aware Advice. | Guanting Chen, Xiaocheng Li, Chunlin Sun, Hanzhao Wang |
| 2023 | ICML | Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming. | Chunlin Sun, Shang Liu, Xiaocheng Li |
| 2021 | ACL | When Do You Need Billions of Words of Pretraining Data? | Yian Zhang, Alex Warstadt, Xiaocheng Li, Samuel R. Bowman |
| 2021 | CIS | Double Auction-Based Dynamic Role Assignment Algorithm. | Fan Liu, Fangzhen Ge, Xiang Li, Longfeng Shen, Xiaocheng Li |
| 2021 | ICML | The Symmetry between Arms and Knapsacks: A Primal-Dual Approach for Bandits with Knapsacks. | Xiaocheng Li, Chunlin Sun, Yinyu Ye |
| 2020 | EMNLP | Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually). | Alex Warstadt, Yian Zhang, Xiaocheng Li, Haokun Liu, Samuel R. Bowman |
| 2018 | WSC | Data-Driven Ranking and Selection: High-dimensional covariates and General Dependence. | Xiaocheng Li, Xiaowei Zhang, Zeyu Zheng |
| 2018 | WACV | Recurrent Autoregressive Networks for Online Multi-object Tracking. | Kuan Fang, Yu Xiang, Xiaocheng Li, Silvio Savarese |
| 2017 | AAAI | Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data. | Jiaxuan You, Xiaocheng Li, Melvin Low, David B. Lobell, Stefano Ermon |