| 2025 | ICML | Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs? | Simon Park, Abhishek Panigrahi, Yun Cheng, Dingli Yu, Anirudh Goyal, Sanjeev Arora |
| 2025 | ICML | Weak-to-Strong Generalization Even in Random Feature Networks, Provably. | Marko Medvedev, Kaifeng Lyu, Dingli Yu, Sanjeev Arora, Zhiyuan Li, Nathan Srebro |
| 2024 | ICLR | Tensor Programs VI: Feature Learning in Infinite Depth Neural Networks. | Greg Yang, Dingli Yu, Chen Zhu, Soufiane Hayou |
| 2024 | ICLR | SKILL-MIX: a Flexible and Expandable Family of Evaluations for AI Models. | Dingli Yu, Simran Kaur, Arushi Gupta, Jonah Brown-Cohen, Anirudh Goyal, Sanjeev Arora |
| 2023 | ICML | A Kernel-Based View of Language Model Fine-Tuning. | Sadhika Malladi, Alexander Wettig, Dingli Yu, Danqi Chen, Sanjeev Arora |
| 2020 | ICLR | Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks. | Sanjeev Arora, Simon S. Du, Zhiyuan Li, Ruslan Salakhutdinov, Ruosong Wang, Dingli Yu |
| 2020 | ICLR | Simple and Effective Regularization Methods for Training on Noisily Labeled Data with Generalization Guarantee. | Wei Hu, Zhiyuan Li, Dingli Yu |
| 2018 | AAAI | Fair Rent Division on a Budget. | Ariel D. Procaccia, Rodrigo A. Velez, Dingli Yu |
| 2007 | ISNN | Neural Network in Stable Adaptive Control Law for Automotive Engines. | Shiwei Wang, Dingli Yu |