Bao, Yu

7 publications

ICLR 2026 DuPO: Enabling Reliable Self-Verification via Dual Preference Optimization Shuaijie She, Yu Bao, Yu Lu, Lu Xu, Tao Li, Wenhao Zhu, Jianbing Zhang, Shujian Huang, Shanbo Cheng, Lu Lu, Yuxuan Wang

ICLR 2026 UltraMemV2: Memory Networks Scaling to 120b Parameters with Superior Long-Context Learning Zihao Huang, Yu Bao, Qiyang Min, Siyan Chen, Ran Guo, Hongzhi Huang, Defa Zhu, Banggu Wu, Yutao Zeng, Zhou Xun, Siyuan Qiao

TMLR 2025 Decomposed Direct Preference Optimization for Structure-Based Drug Design Xiwei Cheng, Xiangxin Zhou, Yuwei Yang, Yu Bao, Quanquan Gu

AAAI 2024 Binding-Adaptive Diffusion Models for Structure-Based Drug Design Zhilin Huang, Ling Yang, Zaixi Zhang, Xiangxin Zhou, Yu Bao, Xiawu Zheng, Yuwei Yang, Yu Wang, Wenming Yang

ICLR 2024 DecompOpt: Controllable and Decomposed Diffusion Models for Structure-Based Molecular Optimization Xiangxin Zhou, Xiwei Cheng, Yuwei Yang, Yu Bao, Liang Wang, Quanquan Gu

ICML 2023 DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design Jiaqi Guan, Xiangxin Zhou, Yuwei Yang, Yu Bao, Jian Peng, Jianzhu Ma, Qiang Liu, Liang Wang, Quanquan Gu

AAAI 2023 Selective Knowledge Distillation for Non-Autoregressive Neural Machine Translation Min Liu, Yu Bao, Chengqi Zhao, Shujian Huang