| 2025 | AISTATS | On the Power of Multitask Representation Learning with Gradient Descent. | Qiaobo Li, Zixiang Chen, Yihe Deng, Yiwen Kou, Yuan Cao, Quanquan Gu |
| 2025 | ICML | Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance. | Linxi Zhao, Yihe Deng, Weitong Zhang, Quanquan Gu |
| 2024 | ICLR | Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP. | Zixiang Chen, Yihe Deng, Yuanzhi Li, Quanquan Gu |
| 2024 | ICLR | Risk Bounds of Accelerated SGD for Overparameterized Linear Regression. | Xuheng Li, Yihe Deng, Jingfeng Wu, Dongruo Zhou, Quanquan Gu |
| 2024 | ICML | Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models. | Zixiang Chen, Yihe Deng, Huizhuo Yuan, Kaixuan Ji, Quanquan Gu |
| 2021 | AAAI | Adversarial Training with Fast Gradient Projection Method against Synonym Substitution Based Text Attacks. | Xiaosen Wang, Yichen Yang, Yihe Deng, Kun He |
| 2019 | ACL | Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency. | Shuhuai Ren, Yihe Deng, Kun He, Wanxiang Che |
| 2019 | ICDE | Adaptive Wavelet Clustering for Highly Noisy Data. | Zengjian Chen, Jiayi Liu, Yihe Deng, Kun He, John E. Hopcroft |