Odin Zhang

According to our database, Odin Zhang authored at least 32 papers between 2023 and 2026.

Collaborative distances:

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

2026

Blending Data and Knowledge for Process Industrial Modeling Under Riemannian Preconditioned Bayesian Framework.

Zhichao Chen, Yulong Zhang, Odin Zhang, Fangyikang Wang, Le Yao, Hao Wang, Zhihuan Song

IEEE Trans. Knowl. Data Eng., January, 2026

2025

ECloudGen: leveraging electron clouds as a latent variable to scale up structure-based molecular design.

Odin Zhang, Jieyu Jin, Zhenxing Wu, Jintu Zhang, Po Yuan, Yuntao Yu, Haitao Lin, Haiyang Zhong, Xujun Zhang, Chenqing Hua, Weibo Zhao, Zhengshuo Zhang, Kejun Ying, Yufei Huang, Huifeng Zhao, Yu Kang, Peichen Pan, Jike Wang, Dong Guo, Shuangjia Zheng, Chang-Yu Hsieh, Tingjun Hou

Nat. Comput. Sci., November, 2025

ChemEnzyRetroPlanner Agent.

Xiaorui Wang, Xiaodan Yin, Xujun Zhang, Huifeng Zhao, Shukai Gu, Zhenxing Wu, Odin Zhang, Wenjia Qian, Yuansheng Huang, Yuquan Li, Dejun Jiang, Mingyang Wang, Huanxiang Liu, Xiaojun Yao, Chang-Yu Hsieh, Tingjun Hou

Dataset, October, 2025

ChemEnzyRetroPlanner.

Xiaorui Wang, Xiaodan Yin, Xujun Zhang, Huifeng Zhao, Shukai Gu, Zhenxing Wu, Odin Zhang, Wenjia Qian, Yuansheng Huang, Yuquan Li, Dejun Jiang, Mingyang Wang, Huanxiang Liu, Xiaojun Yao, Chang-Yu Hsieh, Tingjun Hou

Dataset, October, 2025

ChemEnzyRetroPlanner Agent.

Xiaorui Wang, Xiaodan Yin, Xujun Zhang, Huifeng Zhao, Shukai Gu, Zhenxing Wu, Odin Zhang, Wenjia Qian, Yuansheng Huang, Yuquan Li, Dejun Jiang, Mingyang Wang, Huanxiang Liu, Xiaojun Yao, Chang-Yu Hsieh, Tingjun Hou

Dataset, October, 2025

Fitness aligned structural modeling enables scalable virtual screening with AuroBind.

Zhongyue Zhang, Jiahua Rao, Jie Zhong, Weiqiang Bai, Dongxue Wang, Shaobo Ning, Lifeng Qiao, Sheng Xu, Runze Ma, Will Hua, Jack Xiaoyu Chen, Odin Zhang, Wei Lu, Hanyi Feng, He Yang, Xinchao Shi, Rui Li, Wanli Ouyang, Xinzhu Ma, Jiahao Wang, Jixian Zhang, Jia Duan, Siqi Sun, Jian Zhang, Shuangjia Zheng

CoRR, August, 2025

Graph Neural Networks in Modern AI-aided Drug Discovery.

Odin Zhang, Haitao Lin, Xujun Zhang, Xiaorui Wang, Zhenxing Wu, Qing Ye, Weibo Zhao, Jike Wang, Kejun Ying, Yu Kang, Chang-Yu Hsieh, Tingjun Hou

CoRR, June, 2025

Tokenizing Electron Cloud in Protein-Ligand Interaction Learning.

Haitao Lin, Odin Zhang, Jia Xu, Yunfan Liu, Zheng Chen, Lirong Wu, Yufei Huang, Zhifeng Gao, Stan Z. Li

CoRR, May, 2025

Deep lead optimization enveloped in protein pocket and its application in designing potent and selective ligands targeting LTK protein.

Shicheng Chen, Odin Zhang, Chenran Jiang, Huifeng Zhao, Xujun Zhang, Mengting Chen, Yun Liu, Qun Su, Zhenxing Wu, Xinyue Wang, Wanglin Qu, Yuanyi Ye, Xin Chai, Ning Wang, Tianyue Wang, Yuan An, Guanlin Wu, Qianqian Yang, Jiean Chen, Wei Xie, Haitao Lin, Dan Li, Chang-Yu Hsieh, Yong Huang, Yu Kang, Tingjun Hou, Peichen Pan

Nat. Mac. Intell., 2025

Durian: A Comprehensive Benchmark for Structure-Based 3D Molecular Generation.

Dou Nie, Huifeng Zhao, Odin Zhang, Gaoqi Weng, Hui Zhang, Jieyu Jin, Haitao Lin, Yufei Huang, Liwei Liu, Dan Li, Tingjun Hou, Yu Kang

J. Chem. Inf. Model., 2025

CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph.

Haitao Lin, Guojiang Zhao, Odin Zhang, Yufei Huang, Lirong Wu, Cheng Tan, Zicheng Liu, Zhifeng Gao, Stan Z. Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

EVA: Geometric Inverse Design for Fast Protein Motif-Scaffolding with Coupled Flow.

Yufei Huang, Yunshu Liu, Lirong Wu, Haitao Lin, Cheng Tan, Odin Zhang, Zhangyang Gao, Siyuan Li, Zicheng Liu, Yunfan Liu, Tailin Wu, Stan Z. Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Comprehensive assessment of protein loop modeling programs on large-scale datasets: prediction accuracy and efficiency.

Tianyue Wang, Langcheng Wang, Xujun Zhang, Chao Shen, Odin Zhang, Jike Wang, Jialu Wu, Ruofan Jin, Donghao Zhou, Shicheng Chen, Liwei Liu, Xiaorui Wang, Chang-Yu Hsieh, Guangyong Chen, Peichen Pan, Yu Kang, Tingjun Hou

Briefings Bioinform., January, 2024

Leveraging language model for advanced multiproperty molecular optimization via prompt engineering.

Zhenxing Wu, Odin Zhang, Xiaorui Wang, Li Fu, Huifeng Zhao, Jike Wang, Hongyan Du, Dejun Jiang, Yafeng Deng, Dong-Sheng Cao, Chang-Yu Hsieh, Tingjun Hou

Nat. Mac. Intell., 2024

DrugFlow: An AI-Driven One-Stop Platform for Innovative Drug Discovery.

Chao Shen, Jianfei Song, Chang-Yu Hsieh, Dong-Sheng Cao, Yu Kang, Wenling Ye, Zhenxing Wu, Jike Wang, Odin Zhang, Xujun Zhang, Hao Zeng, Heng Cai, Yu Chen, Linkang Chen, Hao Luo, Xinda Zhao, Tianye Jian, Tong Chen, Dejun Jiang, Mingyang Wang, Qing Ye, Jialu Wu, Hongyan Du, Hui Shi, Yafeng Deng, Tingjun Hou

J. Chem. Inf. Model., 2024

Reaction-conditioned De Novo Enzyme Design with GENzyme.

Chenqing Hua, Jiarui Lu, Yong Liu, Odin Zhang, Jian Tang, Rex Ying, Wengong Jin, Guy Wolf, Doina Precup, Shuangjia Zheng

CoRR, 2024

EnzymeFlow: Generating Reaction-specific Enzyme Catalytic Pockets through Flow Matching and Co-Evolutionary Dynamics.

Chenqing Hua, Yong Liu, Dinghuai Zhang, Odin Zhang, Sitao Luan, Kevin K. Yang, Guy Wolf, Doina Precup, Shuangjia Zheng

CoRR, 2024

Token-Mol 1.0: Tokenized drug design with large language model.

Jike Wang, Rui Qin, Mingyang Wang, Meijing Fang, Yangyang Zhang, Yuchen Zhu, Qun Su, Qiaolin Gou, Chao Shen, Odin Zhang, Zhenxing Wu, Dejun Jiang, Xujun Zhang, Huifeng Zhao, Xiaozhe Wan, Zhourui Wu, Liwei Liu, Yu Kang, Chang-Yu Hsieh, Tingjun Hou

CoRR, 2024

Rethinking the Diffusion Models for Numerical Tabular Data Imputation from the Perspective of Wasserstein Gradient Flow.

Zhichao Chen, Haoxuan Li, Fangyikang Wang, Odin Zhang, Hu Xu, Xiaoyu Jiang, Zhihuan Song, Eric H. Wang

CoRR, 2024

CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph.

Haitao Lin, Guojiang Zhao, Odin Zhang, Yufei Huang, Lirong Wu, Zicheng Liu, Siyuan Li, Cheng Tan, Zhifeng Gao, Stan Z. Li

CoRR, 2024

Deep Lead Optimization: Leveraging Generative AI for Structural Modification.

Odin Zhang, Haitao Lin, Hui Zhang, Huifeng Zhao, Yufei Huang, Yuansheng Huang, Dejun Jiang, Chang-Yu Hsieh, Peichen Pan, Tingjun Hou

CoRR, 2024

Deep Geometry Handling and Fragment-wise Molecular 3D Graph Generation.

Odin Zhang, Yufei Huang, Shichen Cheng, Mengyao Yu, Xujun Zhang, Haitao Lin, Yundian Zeng, Mingyang Wang, Zhenxing Wu, Huifeng Zhao, Zaixi Zhang, Chenqing Hua, Yu Kang, Sunliang Cui, Peichen Pan, Chang-Yu Hsieh, Tingjun Hou

CoRR, 2024

Rethinking the Diffusion Models for Missing Data Imputation: A Gradient Flow Perspective.

Zhichao Chen, Haoxuan Li, Fangyikang Wang, Odin Zhang, Hu Xu, Xiaoyu Jiang, Zhihuan Song, Hao Wang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

PPFLOW: Target-Aware Peptide Design with Torsional Flow Matching.

Haitao Lin, Odin Zhang, Huifeng Zhao, Dejun Jiang, Lirong Wu, Zicheng Liu, Yufei Huang, Stan Z. Li

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

GeoAB: Towards Realistic Antibody Design and Reliable Affinity Maturation.

Haitao Lin, Lirong Wu, Yufei Huang, Yunfan Liu, Odin Zhang, Yuanqing Zhou, Rui Sun, Stan Z. Li

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

Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge.

Yufei Huang, Odin Zhang, Lirong Wu, Cheng Tan, Haitao Lin, Zhangyang Gao, Siyuan Li, Stan Z. Li

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

Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction.

Yufei Huang, Siyuan Li, Lirong Wu, Jin Su, Haitao Lin, Odin Zhang, Zihan Liu, Zhangyang Gao, Jiangbin Zheng, Stan Z. Li

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

2023

ResGen is a pocket-aware 3D molecular generation model based on parallel multiscale modelling.

Odin Zhang, Jintu Zhang, Jieyu Jin, Xujun Zhang, Renling Hu, Chao Shen, Hanqun Cao, Hongyan Du, Yu Kang, Yafeng Deng, Furui Liu, Guangyong Chen, Chang-Yu Hsieh, Tingjun Hou

Nat. Mac. Intell., September, 2023

Efficient and accurate large library ligand docking with KarmaDock.

Xujun Zhang, Odin Zhang, Chao Shen, Wanglin Qu, Shicheng Chen, Hanqun Cao, Yu Kang, Zhe Wang, Ercheng Wang, Jintu Zhang, Yafeng Deng, Furui Liu, Tianyue Wang, Hongyan Du, Langcheng Wang, Peichen Pan, Guangyong Chen, Chang-Yu Hsieh, Tingjun Hou

Nat. Comput. Sci., 2023

Learning on topological surface and geometric structure for 3D molecular generation.

Odin Zhang, Tianyue Wang, Gaoqi Weng, Dejun Jiang, Ning Wang, Xiaorui Wang, Huifeng Zhao, Jialu Wu, Ercheng Wang, Guangyong Chen, Yafeng Deng, Peichen Pan, Yu Kang, Chang-Yu Hsieh, Tingjun Hou

Nat. Comput. Sci., 2023

Protein 3D Graph Structure Learning for Robust Structure-based Protein Property Prediction.

Yufei Huang, Siyuan Li, Jin Su, Lirong Wu, Odin Zhang, Haitao Lin, Jingqi Qi, Zihan Liu, Zhangyang Gao, Yuyang Liu, Jiangbin Zheng, Stan Z. Li

CoRR, 2023

Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration.

Haitao Lin, Yufei Huang, Odin Zhang, Yunfan Liu, Lirong Wu, Siyuan Li, Zhiyuan Chen, Stan Z. Li

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