Pei-Ran Jin

Most-cited papers

1. Predicting equilibrium distributions for molecular systems with deep learning

   Shuxin Zheng, Jiyan He, Chang Liu, Yu Shi +14 more

   2024Nature Machine Intelligence178 citations Open access

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2. Nature Language Model: Deciphering the Language of Nature for Scientific Discovery

   Ying-Ce Xia, Pei-Ran Jin, Shufang Xie, Liang He +42 more

   202541 citations

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3. E2Former: An Efficient and Equivariant Transformer with Linear-Scaling Tensor Products

   Yun-Yang Li, Lin Huang, Zhihao Ding, Xinran Wei +9 more

   2025Neural Information Processing Systems18 citations Open access

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4. HybriDNA: A Hybrid Transformer-Mamba2 Long-Range DNA Language Model

   Mingqian Ma, Guoqing Liu, Chuan Cao, Pan Deng +11 more

   2025arXiv.org17 citations

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5. Trust Region Preference Approximation: A simple and stable reinforcement learning algorithm for LLM reasoning

   Xuerui Su, Shufang Xie, Guoqing Liu, Ying-Ce Xia +6 more

   2025arXiv.org13 citations

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6. NatureLM: Deciphering the Language of Nature for Scientific Discovery

   Ying-Ce Xia, Pei-Ran Jin, Shufang Xie, Liang He +41 more

   2025arXiv.org11 citations

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7. Phenotype-Guided In Silico Molecular Generation Using Large Language Models

   Qun Jiang, Xing Ye, Zekun Guo, Ying-Ce Xia +11 more

   2026bioRxiv4 citations

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8. MolChord: Structure-Sequence Alignment for Protein-Guided Drug Design

   Wei Zhang, Zekun Guo, Ying-Ce Xia, Pei-Ran Jin +3 more

   2025arXiv.org3 citations

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9. E2Former: A Linear-time Efficient and Equivariant Transformer for Scalable Molecular Modeling

   Yun-Yang Li, Lin Huang, Zhihao Ding, Chu Wang +9 more

   2025arXiv.org3 citations

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10. Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning

    Yuxuan Ren, Di-Han Zheng, Chang Liu, Pei-Ran Jin +6 more

    2024Neural Information Processing Systems3 citations

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

    Liang He, Pei-Ran Jin, Yaosen Min, Shufang Xie +6 more

    2024arXiv.org3 citations

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12. FlexRibbon: Joint Sequence and Structure Pretraining for Protein Modeling

    Jianwei Zhu, Yu Shi, Ran Bi, Pei-Ran Jin +19 more

    2026bioRxiv2 citations Open access

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13. HoloCell: A Generative Foundation Model for Holistic Cellular Modeling

    Qun Jiang, Zhen Li, Bowen Hu, Yunlong Bie +11 more

    2026bioRxiv1 citations Open access

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14. Polypharmacological Target-Aware Molecule Generation.

    Ke-Han Wu, Wei Zhang, Han Guo, Ren-He Liu +7 more

    2026Bioinformatics0 citations Open access

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

    Zhuo-Yang Jiang, Yaosen Min, Pei-Ran Jin, Lei Chen

    2026arXiv.org0 citations

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16. Reconstructing sequence-grammar trajectories enables interpretable and tunable cis-regulatory element design

    Mingqian Ma, Wanjuan Bu, Guoqing Liu, Yuxuan Liu +16 more

    2026bioRxiv0 citations Open access

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17. RegDesign-Bench: Benchmarking computational methods for cell-type-specific regulatory DNA design

    Jia-Ying Xu, Ze-Kun Guo, Cui-Ting Zhong, Qi-Jin Yin +5 more

    2026bioRxiv0 citations Open access

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

    Shuxin Zheng, Jiyan He, Chang Liu, Yu Shi +14 more

    2024Nature Machine Intelligence0 citations Open access

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