Xiangxin Zhou

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 21

Top Topics

Diffusion Models

Avoid Overfitting

Top Venues

Publications

Zhilin Huang, Ling Yang, Zaixi Zhang, Xiangxin Zhou, Yu Bao, Xiawu Zheng, Yuwei Yang, Yu Wang, Wenming Yang
Binding-Adaptive Diffusion Models for Structure-Based Drug Design. AAAI (2024)
Xiwei Cheng, Xiangxin Zhou, Yuwei Yang, Yu Bao, Quanquan Gu
Decomposed Direct Preference Optimization for Structure-Based Drug Design. CoRR (2024)
Xiangxin Zhou, Xiwei Cheng, Yuwei Yang, Yu Bao, Liang Wang, Quanquan Gu
DecompOpt: Controllable and Decomposed Diffusion Models for Structure-based Molecular Optimization. CoRR (2024)
Xiangxin Zhou, Xiwei Cheng, Yuwei Yang, Yu Bao, Liang Wang, Quanquan Gu
DecompOpt: Controllable and Decomposed Diffusion Models for Structure-based Molecular Optimization. ICLR (2024)
Zhilin Huang, Ling Yang, Xiangxin Zhou, Zhilong Zhang, Wentao Zhang, Xiawu Zheng, Jie Chen, Yu Wang, Bin Cui, Wenming Yang
Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models. ICLR (2024)
Xiangxin Zhou, Liang Wang, Yichi Zhou
Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process. CoRR (2024)
Xiangxin Zhou, Dongyu Xue, Ruizhe Chen, Zaixiang Zheng, Liang Wang, Quanquan Gu
Antigen-Specific Antibody Design via Direct Energy-based Preference Optimization. CoRR (2024)
Yi Xiao, Xiangxin Zhou, Qiang Liu, Liang Wang
Bridging Text and Molecule: A Survey on Multimodal Frameworks for Molecule. CoRR (2024)
Jiaqi Guan, Xiangxin Zhou, Yuwei Yang, Yu Bao, Jian Peng, Jianzhu Ma, Qiang Liu, Liang Wang, Quanquan Gu
DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design. CoRR (2024)
Yijia Chen, Pinghua Chen, Xiangxin Zhou, Yingtie Lei, Ziyang Zhou, Mingxian Li
Implicit Multi-Spectral Transformer: An Lightweight and Effective Visible to Infrared Image Translation Model. CoRR (2024)
Zhilin Huang, Ling Yang, Zaixi Zhang, Xiangxin Zhou, Yu Bao, Xiawu Zheng, Yuwei Yang, Yu Wang, Wenming Yang
Binding-Adaptive Diffusion Models for Structure-Based Drug Design. CoRR (2024)
Zhixun Li, Liang Wang, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Xu Yu
GSLB: The Graph Structure Learning Benchmark. CoRR (2023)
Zhixun Li, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Xu Yu
GSLB: The Graph Structure Learning Benchmark. NeurIPS (2023)
Jiaqi Guan, Xiangxin Zhou, Yuwei Yang, Yu Bao, Jian Peng, Jianzhu Ma, Qiang Liu, Liang Wang, Quanquan Gu
DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design. ICML (2023)
Yuchi Liu, Zhongdao Wang, Xiangxin Zhou, Liang Zheng
A Study of Using Synthetic Data for Effective Association Knowledge Learning. Mach. Intell. Res. 20 (2) (2023)
Yuchi Liu, Zhongdao Wang, Xiangxin Zhou, Liang Zheng
Synthetic Data Are as Good as the Real for Association Knowledge Learning in Multi-object Tracking. CoRR (2021)
Hongzhi Shi, Yong Li, Hancheng Cao, Xiangxin Zhou, Chao Zhang, Vassilis Kostakos
Semantics-Aware Hidden Markov Model for Human Mobility. IEEE Trans. Knowl. Data Eng. 33 (3) (2021)
Benjin Zhu, Zhengkai Jiang, Xiangxin Zhou, Zeming Li, Gang Yu
Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection. CoRR (2019)
Xiaohan Ding, Guiguang Ding, Xiangxin Zhou, Yuchen Guo, Ji Liu, Jungong Han
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks. CoRR (2019)
Xiaohan Ding, Guiguang Ding, Xiangxin Zhou, Yuchen Guo, Jungong Han, Ji Liu
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks. NeurIPS (2019)
Hongzhi Shi, Hancheng Cao, Xiangxin Zhou, Yong Li, Chao Zhang, Vassilis Kostakos, Funing Sun, Fanchao Meng
Semantics-Aware Hidden Markov Model for Human Mobility. SDM (2019)