Yaosen Min

According to our database, Yaosen Min authored at least 17 papers between 2018 and 2026.

Collaborative distances:

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

2026

PepBenchmark: A Standardized Benchmark for Peptide Machine Learning.

Jiahui Zhang, Rouyi Wang, Kuangqi Zhou, Tianshu Xiao, Lingyan Zhu, Yaosen Min, Yang Wang

CoRR, April, 2026

Multi-scale Graph Autoregressive Modeling: Molecular Property Prediction via Next Token Prediction.

Zhuoyang Jiang, Yaosen Min, Peiran Jin, Lei Chen

CoRR, January, 2026

2025

NatureLM: Deciphering the Language of Nature for Scientific Discovery.

Yingce Xia, Peiran Jin, Shufang Xie, Liang He, Chuan Cao, Renqian Luo, Guoqing Liu, Yue Wang, Zequn Liu, Yuan-Jyue Chen, Zekun Guo, Yeqi Bai, Pan Deng, Yaosen Min, Ziheng Lu, Hongxia Hao, Han Yang, Jielan Li, Chang Liu, Jia Zhang, Jianwei Zhu, Kehan Wu, Wei Zhang, Kaiyuan Gao, Qizhi Pei, Qian Wang, Xixian Liu, Yanting Li, Houtian Zhu, Yeqing Lu, Mingqian Ma, Zun Wang, Tian Xie, Krzysztof Maziarz, Marwin H. S. Segler, Zhao Yang, Zilong Chen, Yu Shi, Shuxin Zheng, Lijun Wu, Chen Hu, Peggy Dai, Tie-Yan Liu, Haiguang Liu, Tao Qin

CoRR, February, 2025

FragFormer: A Fragment-based Representation Learning Framework for Molecular Property Prediction.

Jiaxi Wang, Yaosen Min, Miao Li, Ji Wu

Trans. Mach. Learn. Res., 2025

MIPS: A Multimodal Infinite Polymer Sequence Pre-training Framework for Polymer Property Prediction.

Jiaxi Wang, Yaosen Min, Xun Zhu, Miao Li, Ji Wu

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

2024

Author Correction: Predicting equilibrium distributions for molecular systems with deep learning.

Shuxin Zheng, Jiyan He, Chang Liu, Yu Shi, Ziheng Lu, Weitao Feng, Fusong Ju, Jiaxi Wang, Jianwei Zhu, Yaosen Min, He Zhang, Shidi Tang, Hongxia Hao, Peiran Jin, Chi Chen, Frank Noé, Haiguang Liu, Tie-Yan Liu

Nat. Mac. Intell., 2024

Predicting equilibrium distributions for molecular systems with deep learning.

Shuxin Zheng, Jiyan He, Chang Liu, Yu Shi, Ziheng Lu, Weitao Feng, Fusong Ju, Jiaxi Wang, Jianwei Zhu, Yaosen Min, He Zhang, Shidi Tang, Hongxia Hao, Peiran Jin, Chi Chen, Frank Noé, Haiguang Liu, Tie-Yan Liu

Nat. Mac. Intell., 2024

SFM-Protein: Integrative Co-evolutionary Pre-training for Advanced Protein Sequence Representation.

Liang He, Peiran Jin, Yaosen Min, Shufang Xie, Lijun Wu, Tao Qin, Xiaozhuan Liang, Kaiyuan Gao, Yuliang Jiang, Tie-Yan Liu

CoRR, 2024

2023

Control Risk for Potential Misuse of Artificial Intelligence in Science.

Jiyan He, Weitao Feng, Yaosen Min, Jingwei Yi, Kunsheng Tang, Shuai Li, Jie Zhang, Kejiang Chen, Wenbo Zhou, Xing Xie, Weiming Zhang, Nenghai Yu, Shuxin Zheng

CoRR, 2023

Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning.

Shuxin Zheng, Jiyan He, Chang Liu, Yu Shi, Ziheng Lu, Weitao Feng, Fusong Ju, Jiaxi Wang, Jianwei Zhu, Yaosen Min, He Zhang, Shidi Tang, Hongxia Hao, Peiran Jin, Chi Chen, Frank Noé, Haiguang Liu, Tie-Yan Liu

CoRR, 2023

Molecule Generation For Target Protein Binding with Structural Motifs.

Zaixi Zhang, Yaosen Min, Shuxin Zheng, Qi Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Predicting the protein-ligand affinity from molecular dynamics trajectories.

Yaosen Min, Ye Wei, Peizhuo Wang, Nian Wu, Stefan Bauer, Shuxin Zheng, Yu Shi, Yingheng Wang, Dan Zhao, Ji Wu, Jianyang Zeng

CoRR, 2022

2021

Multi-view Graph Contrastive Representation Learning for Drug-Drug Interaction Prediction.

Yingheng Wang, Yaosen Min, Xin Chen, Ji Wu

Proceedings of the WWW '21: The Web Conference 2021, 2021

Molecular Graph Contrastive Learning with Parameterized Explainable Augmentations.

Yingheng Wang, Yaosen Min, Erzhuo Shao, Ji Wu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

MolCloze: A Unified Cloze-style Self-supervised Molecular Structure Learning Model for Chemical Property Prediction.

Yingheng Wang, Xin Chen, Yaosen Min, Ji Wu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2019

Homologous Protein Detection.

Xuefeng Cui, Yaosen Min

Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 3, 2019

2018

Learning Protein Structural Fingerprints under the Label-Free Supervision of Domain Knowledge.

Yaosen Min, Shang Liu, Chenyao Lou, Xuefeng Cui

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018