Lingxiang Jia

（贾凌翔）

Assistant Professor, Ph.D Advisor
Zhejiang University

I am an Assistant Professor in the College of Computer Science and Technology and the State Key Laboratory of Blockchain and Data Security at Zhejiang University. Previously, I received my Ph.D. in Computer Science at Zhejiang University and my B.S. in Software Engineering at Nankai University.

My research lies at the intersection of AI for science and computer vision, with a particular focus on developing a unified multi-agent paradigm for cross-disciplinary scientific research.

  • AI applications for cross-disciplinary scientific research
  • Multi-omics integration and medical image analysis
  • Representation learning for biomedical data
Neutral profile placeholder

For prospective students: If you are interested in working with me, please feel free to contact me via e-mail.

News

  • Jul. 2026 One paper about antibody language models is accepted to Genome Biology (JCR Q1, IF=9.2).
  • Jul. 2026 One paper about spatial omics generation is accepted to PRCV 2026 (CCF-C).
  • Jun. 2026 One paper about cervical lesion detection is accepted to ECCV 2026 (CORE A*, CCF-B).
  • Apr. 2026 One paper about pathology images analysis is accepted to ICML 2026 (CORE A*, CCF-A).
  • Feb. 2026 One paper about anomaly detection is accepted to CVPR 2026 (CORE A*, CCF-A).
  • Jul. 2025 One paper about drug-target mechanism of action is accepted to ECAI 2025 (CORE A, CCF-B).
  • Mar. 2025 Our work "Recent advances in deep learning for retrosynthesis" is recognized as the top 10 most-cited papers published by WIREs Computational Molecular Science in 2023.
  • Mar. 2025 One paper is accepted to Journal of Software (CCF-A).
  • Jan. 2025 Both accepted papers selected as oral presentation (Top 4.6%) at AAAI 2025.
  • Dec. 2024 One paper about molecular representation learning is accepted to AAAI 2025.
  • Dec. 2024 One paper about graph fraud detection is accepted to AAAI 2025.
  • Nov. 2024 Leading project supported by ZJU Research Fund (2023.10-2024.10) has passed final evaluation.
  • Oct. 2024 Leading project on drug-target interaction recognized as exemplary practice project at Zhejiang provincial level.
  • Sep. 2024 One paper about association pattern is accepted to NeurIPS 2024.
  • Sep. 2024 One paper about vision mamba is accepted to NeurIPS 2024.
  • Apr. 2024 One paper is accepted to IJCAI 2024.
  • Apr. 2024 One paper about molecular property prediction is accepted to Communications Chemistry (JCR Q1, IF=5.9).
  • Oct. 2023 Will serve as leader of a project supported by ZJU Scientific Research Fund (2023.10-2024.10).
  • Oct. 2023 One paper about noisy dataset classification is accepted to Neurocomputing (JCR Q1, IF=5.8).
  • Sep. 2023 One paper about AI for retrosynthesis is accepted to WIREs Computational Molecular Science (JCR Q1, IF=11.5).
  • Jul. 2022 One paper about deep learning-based retrosynthesis is published at Chemical Science (JCR Q1, IF=9.9).
  • Jul. 2022 One paper about molecular property attribution is published at Advanced Intelligent Systems (JCR Q1, IF=7.4).

Publications

  1. Comprehensive evaluation of antibody language models across multiple antibody design tasks Nanqi Hong, Lingxiang Jia, Ruofan Jin, Yurong Li, Mingli Song, Tingjun Hou Genome Biology, 2026
  2. 基于链路聚合的图欺诈检测 邱天, 贾凌翔, 高杨, 冯尊磊, 高艺, 宋明黎 软件学报, 2026 [pdf]
  3. KnowOmics: Pathology Image-Anchored Spatial Omics Generation with Biomedical Knowledge Guidance Qianyi Liu, Yuexi Qiu, Peibo Zheng, Zunlei Feng, Lingxiang Jia* Pattern Recognition and Computer Vision Conference (PRCV), 2026
  4. CerDETR: Cell-Prior Empowered DETR for Cervical Lesion Detection Linyun Zhou, Jin Chen, Weihan Li, Hengrui Lou, Lingxiang Jia*, Weijun Qin, Xiuming Zhang, Zunlei Feng European Conference on Computer Vision (ECCV), 2026 [pdf] [code]
  5. Cello: A Universal Cell-wise Feature Aggregation framework for Reliable Pathology Images Analysis Hengrui Lou, Weihan Li, Jiazhen Yang, Lingxiang Jia, Shengxuming Zhang, Linyun Zhou, Xiuming Zhang, Zhenyang Wang, Mingli Song, Zunlei Feng International Conference on Machine Learning (ICML), 2026 [pdf] [code]
  6. Anomaly-Related Residual Fields for Cross-domain Anomaly Detection Kewei Gao, Jiayi Xie, Zhengda Shen, Weijun Qin, Lingxiang Jia, Kejia Chen, Zunlei Feng, Yijun Bei IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026 [pdf] [code]
  7. TED-DTMoA: Tri-Comparison Expertise Decision for Drug-Target Mechanism of Action Lingxiang Jia, Zipeng Zhong, Shaolun Yao, Jie Song, Mingli Song, Zunlei Feng European Conference on Artificial Intelligence (ECAI), 2025 [pdf]
  8. Association Pattern-enhanced Molecular Representation Learning Lingxiang Jia, Yuchen Ying, Tian Qiu, Shaolun Yao, Liang Xue, Jie Lei, Jie Song, Mingli Song, Zunlei Feng AAAI Conference on Artificial Intelligence (AAAI), 2025 (Oral) [pdf] [code]
  9. Global Attribute-Association Pattern Aggregation for Graph Fraud Detection Mingjiang Duan, Da He, Tongya Zheng, Lingxiang Jia, Mingli Song, Xinyu Wang, Zunlei Feng AAAI Conference on Artificial Intelligence (AAAI), 2025 (Oral) [pdf] [code]
  10. Recent Advances in Deep Learning for Retrosynthesis Zipeng Zhong, Jie Song, Zunlei Feng, Tiantao Liu, Lingxiang Jia, Shaolun Yao, Tingjun Hou, Mingli Song Wiley Interdisciplinary Reviews: Computational Molecular Science, 2024 [pdf]
  11. Fast and effective molecular property prediction with transferability map Shaolun Yao, Jie Song, Lingxiang Jia, Lechao Cheng, Zipeng Zhong, Mingli Song, Zunlei Feng Communications Chemistry, 2024 [pdf] [code]
  12. Noise is the fatal poison: A Noise-aware Network for noisy dataset classification Xiaotian Yu, Shengxuming Zhang, Lingxiang Jia, Yuexuan Wang, Mingli Song, Zunlei Feng Neurocomputing, 2024 [pdf]
  13. Association Pattern-aware Fusion for Biological Entity Relationship Prediction Lingxiang Jia, Yuchen Ying, Zunlei Feng, Zipeng Zhong, Shaolun Yao, Jiacong Hu, Mingjiang Duan, Xingen Wang, Jie Song, Mingli Song Conference on Neural Information Processing Systems (NeurIPS), 2024 [pdf] [code]
  14. Vision Mamba Mender Jiacong Hu, Anda Cao, Zunlei Feng, Shengxuming Zhang, Yi Wang, Lingxiang Jia, Mingli Song Conference on Neural Information Processing Systems (NeurIPS), 2024 [pdf] [code]
  15. Improving Adversarial Robustness via Feature Pattern Consistency Constraint Jiacong Hu, Jingwen Ye, Zunlei Feng, Jiazhen Yang, Shunyu Liu, Xiaotian Yu, Lingxiang Jia, Mingli Song International Joint Conference on Artificial Intelligence (IJCAI), 2024 [pdf]
  16. 基于深度学习的3D分子生成模型研究进展 姚少伦, 宋杰, 冯尊磊, 贾凌翔, 钟子鹏, 宋明黎 中国科学：化学, 2023 [pdf]
  17. Root-aligned SMILES: a tight representation for chemical reaction prediction Zipeng Zhong, Jie Song, Zunlei Feng, Tiantao Liu, Lingxiang Jia, Shaolun Yao, Min Wu, Tingjun Hou, Mingli Song Chemical Science, 2022 [pdf] [code]
  18. Explainable Fragment‐Based Molecular Property Attribution Lingxiang Jia, Zunlei Feng, Haotian Zhang, Jie Song, Zipeng Zhong, Shaolun Yao, Mingli Song Advanced Intelligent Systems, 2022 [pdf]
  19. Chemical Property Relation Guided Few-Shot Molecular Property Prediction Shaolun Yao, Zunlei Feng, Jie Song, Lingxiang Jia, Zipeng Zhong, Mingli Song International Joint Conference on Neural Networks (IJCNN), 2022 [pdf]

Professional Services

Invited Talks

Honors and Awards