| 2025 | IUI | Orbit: A Framework for Designing and Evaluating Multi-objective Rankers. | Chenyang Yang, Tesi Xiao, Michael Shavlovsky, Christian Kstner, Tongshuang Wu |
| 2025 | UAI | COS-DPO: Conditioned One-Shot Multi-Objective Fine-Tuning Framework. | Yinuo Ren, Tesi Xiao, Michael Shavlovsky, Lexing Ying, Holakou Rahmanian |
| 2024 | AISTATS | Multi-objective Optimization via Wasserstein-Fisher-Rao Gradient Flow. | Yinuo Ren, Tesi Xiao, Tanmay Gangwani, Anshuka Rangi, Holakou Rahmanian, Lexing Ying, Subhajit Sanyal |
| 2024 | ICLR | Accelerating Sinkhorn algorithm with sparse Newton iterations. | Xun Tang, Michael Shavlovsky, Holakou Rahmanian, Elisa Tardini, Kiran Koshy Thekumparampil, Tesi Xiao, Lexing Ying |
| 2023 | UAI | A one-sample decentralized proximal algorithm for non-convex stochastic composite optimization. | Tesi Xiao, Xuxing Chen, Krishnakumar Balasubramanian, Saeed Ghadimi |
| 2022 | CIKM | Field-wise Embedding Size Search via Structural Hard Auxiliary Mask Pruning for Click-Through Rate Prediction. | Tesi Xiao, Xia Xiao, Ming Chen, Youlong Chen |
| 2020 | CVPR | How Does Noise Help Robustness? Explanation and Exploration under the Neural SDE Framework. | Xuanqing Liu, Tesi Xiao, Si Si, Qin Cao, Sanjiv Kumar, Cho-Jui Hsieh |