Peiran Jin

12 papers A* 1Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Multi-scale Graph Autoregressive Modeling: Molecular Property Prediction via Next Token Prediction.
CoRR
Zhuoyang Jiang, Yaosen Min, Peiran Jin, Lei Chen
2025 J jnl
E2Former: A Linear-time Efficient and Equivariant Transformer for Scalable Molecular Modeling.
CoRR
Yunyang Li, Lin Huang, Zhihao Ding, Chu Wang, Xinran Wei, Han Yang, Zun Wang, Chang Liu, Yu Shi, Peiran Jin, Jia Zhang, Mark Gerstein, Tao Qin
2025 J jnl
HybriDNA: A Hybrid Transformer-Mamba2 Long-Range DNA Language Model.
CoRR
Mingqian Ma, Guoqing Liu, Chuan Cao, Pan Deng, Tri Dao, Albert Gu, Peiran Jin, Zhao Yang, Yingce Xia, Renqian Luo, Pipi Hu, Zun Wang, Yuan-Jyue Chen, Haiguang Liu, Tao Qin
2025 J jnl
MolChord: Structure-Sequence Alignment for Protein-Guided Drug Design.
CoRR
Wei Zhang, Zekun Guo, Yingce Xia, Peiran Jin, Shufang Xie, Tao Qin, Xiang-Yang Li
2025 J jnl
NatureLM: Deciphering the Language of Nature for Scientific Discovery.
CoRR
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
2025 J jnl
Trust Region Preference Approximation: A simple and stable reinforcement learning algorithm for LLM reasoning.
CoRR
Xuerui Su, Shufang Xie, Guoqing Liu, Yingce Xia, Renqian Luo, Peiran Jin, Zhiming Ma, Yue Wang, Zun Wang, Yuting Liu
2024 J jnl
Author Correction: Predicting equilibrium distributions for molecular systems with deep learning.
Nat. Mac. Intell.
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
2024 A* conf
Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning.
NeurIPS
Yuxuan Ren, Dihan Zheng, Chang Liu, Peiran Jin, Yu Shi, Lin Huang, Jiyan He, Shengjie Luo, Tao Qin, Tie-Yan Liu
2024 J jnl
Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning.
CoRR
Yuxuan Ren, Dihan Zheng, Chang Liu, Peiran Jin, Yu Shi, Lin Huang, Jiyan He, Shengjie Luo, Tao Qin, Tie-Yan Liu
2024 J jnl
Predicting equilibrium distributions for molecular systems with deep learning.
Nat. Mac. Intell.
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
2024 J jnl
SFM-Protein: Integrative Co-evolutionary Pre-training for Advanced Protein Sequence Representation.
CoRR
Liang He, Peiran Jin, Yaosen Min, Shufang Xie, Lijun Wu, Tao Qin, Xiaozhuan Liang, Kaiyuan Gao, Yuliang Jiang, Tie-Yan Liu
2023 J jnl
Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning.
CoRR
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