Xiangxin Zhou

According to our database, Xiangxin Zhou authored at least 21 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Contextual Representation Anchor Network to Alleviate Selection Bias in Few-Shot Drug Discovery.

Ruifeng Li, Wei Liu, Xiangxin Zhou, Mingqian Li, Qiang Zhang, Hongyang Chen, Xuemin Lin

CoRR, 2024

Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design.

Xiangxin Zhou, Jiaqi Guan, Yijia Zhang, Xingang Peng, Liang Wang, Jianzhu Ma

CoRR, 2024

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

CoRR, 2024

Decomposed Direct Preference Optimization for Structure-Based Drug Design.

Xiwei Cheng, Xiangxin Zhou, Yuwei Yang, Yu Bao, Quanquan Gu

CoRR, 2024

Antigen-Specific Antibody Design via Direct Energy-based Preference Optimization.

Xiangxin Zhou, Dongyu Xue, Ruizhe Chen, Zaixiang Zheng, Liang Wang, Quanquan Gu

CoRR, 2024

Bridging Text and Molecule: A Survey on Multimodal Frameworks for Molecule.

Yi Xiao, Xiangxin Zhou, Qiang Liu, Liang Wang

CoRR, 2024

Implicit Multi-Spectral Transformer: An Lightweight and Effective Visible to Infrared Image Translation Model.

Yijia Chen, Pinghua Chen, Xiangxin Zhou, Yingtie Lei, Ziyang Zhou, Mingxian Li

Proceedings of the International Joint Conference on Neural Networks, 2024

Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process.

Xiangxin Zhou, Liang Wang, Yichi Zhou

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

DecompOpt: Controllable and Decomposed Diffusion Models for Structure-based Molecular Optimization.

Xiangxin Zhou, Xiwei Cheng, Yuwei Yang, Yu Bao, Liang Wang, Quanquan Gu

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Study of Using Synthetic Data for Effective Association Knowledge Learning.

Yuchi Liu, Zhongdao Wang, Xiangxin Zhou, Liang Zheng

Mach. Intell. Res., April, 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 Xu Yu

CoRR, 2023

GSLB: The Graph Structure Learning Benchmark.

Zhixun Li, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Xu Yu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the International Conference on Machine Learning, 2023

2021

Semantics-Aware Hidden Markov Model for Human Mobility.

Hongzhi Shi, Yong Li, Hancheng Cao, Xiangxin Zhou, Chao Zhang, Vassilis Kostakos

IEEE Trans. Knowl. Data Eng., 2021

Synthetic Data Are as Good as the Real for Association Knowledge Learning in Multi-object Tracking.

Yuchi Liu, Zhongdao Wang, Xiangxin Zhou, Liang Zheng

CoRR, 2021

2019

Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection.

Benjin Zhu, Zhengkai Jiang, Xiangxin Zhou, Zeming Li, Gang Yu

CoRR, 2019

Semantics-Aware Hidden Markov Model for Human Mobility.

Hongzhi Shi, Hancheng Cao, Xiangxin Zhou, Yong Li, Chao Zhang, Vassilis Kostakos, Funing Sun, Fanchao Meng

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Global Sparse Momentum SGD for Pruning Very Deep Neural Networks.

Xiaohan Ding, Guiguang Ding, Xiangxin Zhou, Yuchen Guo, Jungong Han, Ji Liu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019