| 2026 | COLT | Efficient Sampling with Discrete Diffusion Models: Sharp and Adaptive Guarantees. | Daniil Dmitriev, Zhihan Huang, Yuting Wei |
| 2026 | SIGIR | Debiased Multimodal Personality Understanding through Dual Causal Intervention. | Yangfu Zhu, Zitong Han, Nianwen Ning, Yuting Wei, Yuandong Wang, Hang Feng, Zhenzhou Shao |
| 2025 | ACL | TEACH: A Contrastive Knowledge Adaptive Distillation Framework for Classical Chinese Understanding. | Yuting Wei, Qi Meng, Yuanxing Xu, Bin Wu |
| 2025 | AISTATS | Towards a mathematical theory for consistency training in diffusion models. | Gen Li, Zhihan Huang, Yuting Wei |
| 2025 | DASFAA | Sketch-Based Poetry Retrieval with Unsupervised Vision-and-Language Pre-training. | Yuqing Li, Yuting Wei, Yangfu Zhu, Bin Wu |
| 2025 | ICML | Actor-Critics Can Achieve Optimal Sample Efficiency. | Kevin Tan, Wei Fan, Yuting Wei |
| 2025 | IJCAI | Learning Causally Disentangled Representations for Fair Personality Detection. | Yangfu Zhu, Meiling Li, Yuting Wei, Di Liu, Yuqing Li, Bin Wu |
| 2024 | EMNLP | AC-EVAL: Evaluating Ancient Chinese Language Understanding in Large Language Models. | Yuting Wei, Yuanxing Xu, Xinru Wei, Simin Yang, Yangfu Zhu, Yuqing Li, Di Liu, Bin Wu |
| 2024 | EMNLP | Exploring Question Guidance and Answer Calibration for Visually Grounded Video Question Answering. | Yuanxing Xu, Yuting Wei, Shuai Zhong, Xinming Chen, Jinsheng Qi, Bin Wu |
| 2024 | ICLR | Towards Non-Asymptotic Convergence for Diffusion-Based Generative Models. | Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi |
| 2024 | ICML | Accelerating Convergence of Score-Based Diffusion Models, Provably. | Gen Li, Yu Huang, Timofey Efimov, Yuting Wei, Yuejie Chi, Yuxin Chen |
| 2024 | ICML | Theoretical insights for diffusion guidance: A case study for Gaussian mixture models. | Yuchen Wu, Minshuo Chen, Zihao Li, Mengdi Wang, Yuting Wei |
| 2023 | CIKM | PCENet: Psychological Clues Exploration Network for Multimodal Personality Assessment. | Yangfu Zhu, Yuting Wei, Meiling Li, Tingting Zhang, Siqi Wei, Bin Wu |
| 2023 | IJCNN | Verbalizer or Classifier? A New Prompt Learning Model for Event Causality Identification. | Weiwei Zhang, Linmei Hu, Yuting Wei, Bin Wu |
| 2023 | IJCNN | Self-adaptive Prompt-tuning for Event Extraction in Ancient Chinese Literature. | Jingyi Zhang, Yuting Wei, Yangfu Zhu, Bin Wu |
| 2022 | ICML | Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity. | Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi |
| 2021 | AAAI | Debiasing Evaluations That Are Biased by Evaluations. | Jingyan Wang, Ivan Stelmakh, Yuting Wei, Nihar B. Shah |
| 2021 | AISTATS | Uniform Consistency of Cross-Validation Estimators for High-Dimensional Ridge Regression. | Pratik Patil, Yuting Wei, Alessandro Rinaldo, Ryan J. Tibshirani |
| 2021 | COLT | Softmax Policy Gradient Methods Can Take Exponential Time to Converge. | Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen |
| 2021 | ICML | Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning. | Gen Li, Changxiao Cai, Yuxin Chen, Yuantao Gu, Yuting Wei, Yuejie Chi |
| 2020 | ICML | Sharp Statistical Guaratees for Adversarially Robust Gaussian Classification. | Chen Dan, Yuting Wei, Pradeep Ravikumar |
| 2016 | ISIT | Sharp minimax bounds for testing discrete monotone distributions. | Yuting Wei, Martin J. Wainwright |