| 2026 | COLT | Tight Sample Complexity of Transformers. | Chenxiao Yang, Nathan Srebro, Zhiyuan Li |
| 2025 | ICLR | Chain-of-Thought Provably Enables Learning the (Otherwise) Unlearnable. | Chenxiao Yang, Zhiyuan Li, David Wipf |
| 2025 | ICML | Supercharging Graph Transformers with Advective Diffusion. | Qitian Wu, Chenxiao Yang, Kaipeng Zeng, Michael M. Bronstein |
| 2025 | ICML | PENCIL: Long Thoughts with Short Memory. | Chenxiao Yang, Nathan Srebro, David McAllester, Zhiyuan Li |
| 2024 | CIKM | InfoMLP: Unlocking the Potential of MLPs for Semi-Supervised Learning with Structured Data. | Hengrui Zhang, Qitian Wu, Chenxiao Yang, Philip S. Yu |
| 2024 | ICML | Learning Divergence Fields for Shift-Robust Graph Representations. | Qitian Wu, Fan Nie, Chenxiao Yang, Junchi Yan |
| 2024 | ICML | How Graph Neural Networks Learn: Lessons from Training Dynamics. | Chenxiao Yang, Qitian Wu, David Wipf, Ruoyu Sun, Junchi Yan |
| 2024 | KDD | GeoMix: Towards Geometry-Aware Data Augmentation. | Wentao Zhao, Qitian Wu, Chenxiao Yang, Junchi Yan |
| 2024 | WWW | Graph Out-of-Distribution Generalization via Causal Intervention. | Qitian Wu, Fan Nie, Chenxiao Yang, Tianyi Bao, Junchi Yan |
| 2023 | ICLR | Energy-based Out-of-Distribution Detection for Graph Neural Networks. | Qitian Wu, Yiting Chen, Chenxiao Yang, Junchi Yan |
| 2023 | ICLR | DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion. | Qitian Wu, Chenxiao Yang, Wentao Zhao, Yixuan He, David Wipf, Junchi Yan |
| 2023 | ICLR | Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs. | Chenxiao Yang, Qitian Wu, Jiahua Wang, Junchi Yan |
| 2023 | KDD | GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks. | Wentao Zhao, Qitian Wu, Chenxiao Yang, Junchi Yan |
| 2022 | AAAI | Cross-Task Knowledge Distillation in Multi-Task Recommendation. | Chenxiao Yang, Junwei Pan, Xiaofeng Gao, Tingyu Jiang, Dapeng Liu, Guihai Chen |
| 2022 | IJCAI | Trading Hard Negatives and True Negatives: A Debiased Contrastive Collaborative Filtering Approach. | Chenxiao Yang, Qitian Wu, Jipeng Jin, Xiaofeng Gao, Junwei Pan, Guihai Chen |
| 2021 | CIKM | Seq2Bubbles: Region-Based Embedding Learning for User Behaviors in Sequential Recommenders. | Qitian Wu, Chenxiao Yang, Shuodian Yu, Xiaofeng Gao, Guihai Chen |
| 2021 | ICWS | MatTrip: Multi-functional Attention-based Neural Network for Semantic Travel Route Recommendation. | Chenxiao Yang, Jiale Zhang, Xiaofeng Gao, Guihai Chen |
| 2006 | SMC | A Strategy of Merging Branches Based on Margin Enlargement of SVM in Decision Tree Induction. | Chenxiao Yang, Xizhao Wang, Ruixian Zhu |