Zhou, Xiangxin

20 publications

ICML 2025 An All-Atom Generative Model for Designing Protein Complexes Ruizhe Chen, Dongyu Xue, Xiangxin Zhou, Zaixiang Zheng, Xiangxiang Zeng, Quanquan Gu

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

ICML 2025 Designing Cyclic Peptides via Harmonic SDE with Atom-Bond Modeling Xiangxin Zhou, Mingyu Li, Yi Xiao, Jiahan Li, Dongyu Xue, Zaixiang Zheng, Jianzhu Ma, Quanquan Gu

ICLR 2025 Group Ligands Docking to Protein Pockets Jiaqi Guan, Jiahan Li, Xiangxin Zhou, Xingang Peng, Sheng Wang, Yunan Luo, Jian Peng, Jianzhu Ma

ICLR 2025 Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows Xiangxin Zhou, Yi Xiao, Haowei Lin, Xinheng He, Jiaqi Guan, Yang Wang, Qiang Liu, Feng Zhou, Liang Wang, Jianzhu Ma

ICML 2025 Modeling All-Atom Glycan Structures via Hierarchical Message Passing and Multi-Scale Pre-Training Minghao Xu, Jiaze Song, Keming Wu, Xiangxin Zhou, Bin Cui, Wentao Zhang

ICLR 2025 ProteinBench: A Holistic Evaluation of Protein Foundation Models Fei Ye, Zaixiang Zheng, Dongyu Xue, Yuning Shen, Lihao Wang, Yiming Ma, Yan Wang, Xinyou Wang, Xiangxin Zhou, Quanquan Gu

NeurIPS 2025 Riemannian Consistency Model Chaoran Cheng, Yusong Wang, Yuxin Chen, Xiangxin Zhou, Nanning Zheng, Ge Liu

ICLR 2025 UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery Ruifeng Li, Mingqian Li, Wei Liu, Yuhua Zhou, Xiangxin Zhou, Yuan Yao, Qiang Zhang, Hongyang Chen

NeurIPS 2024 Antigen-Specific Antibody Design via Direct Energy-Based Preference Optimization Xiangxin Zhou, Dongyu Xue, Ruizhe Chen, Zaixiang Zheng, Liang Wang, Quanquan Gu

ICMLW 2024 Antigen-Specific Antibody Design via Direct Energy-Based Preference Optimization Xiangxin Zhou, Dongyu Xue, Ruizhe Chen, Zaixiang Zheng, Liang Wang, 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 2024 Interaction-Based Retrieval-Augmented Diffusion Models for Protein-Specific 3D Molecule Generation Zhilin Huang, Ling Yang, Xiangxin Zhou, Chujun Qin, Yijie Yu, Xiawu Zheng, Zikun Zhou, Wentao Zhang, Yu Wang, Wenming Yang

ICLR 2024 Protein-Ligand Interaction Prior for Binding-Aware 3D Molecule Diffusion Models Zhilin Huang, Ling Yang, Xiangxin Zhou, Zhilong Zhang, Wentao Zhang, Xiawu Zheng, Jie Chen, Yu Wang, Bin Cui, Wenming Yang

NeurIPS 2024 Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design Xiangxin Zhou, Jiaqi Guan, Yijia Zhang, Xingang Peng, Liang Wang, Jianzhu Ma

ICML 2024 Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process Xiangxin Zhou, Liang Wang, Yichi Zhou

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

NeurIPS 2023 GSLB: The Graph Structure Learning Benchmark Zhixun Li, Liang Wang, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Yu

NeurIPS 2019 Global Sparse Momentum SGD for Pruning Very Deep Neural Networks Xiaohan Ding, Guiguang Ding, Xiangxin Zhou, Yuchen Guo, Jungong Han, Ji Liu