PPaperPicks

Jun Xia

Hong Kong University of Science and Technology, Guangzhou, China

27 papers at tracked venues · 21 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-7993-0803 ↗Homepage ↗

Venues

NeurIPS ×9IJCAI ×6ICLR ×4AAAI ×3ICML ×2ACL ×1ICDE ×1WWW ×1

Frequent coauthors

Stan Z. Li
×18
Jingbo Zhou
×10
Cheng Tan
×10
Zhangyang Gao
×10
Wenjie Du
×9
Bozhen Hu
×8
Shaorong Chen
×7
Yue Liu
×7
Jiangbin Zheng
×6
Hongxin Xiang
×6
Lirong Wu
×5
Changxi Chi
×4

Papers

  1. Departures: Distributional Transport for Single-Cell Perturbation Prediction with Neural Schrödinger Bridges
    AAAI 2026 ·
    Changxi Chi
    ,
    Yufei Huang
    , Jun Xia,
    Jiangbin Zheng
    ,
    Yunfan Liu
    ,
    Zelin Zang
    ,
    Stan Z. Li
  2. Med-SRAF: A Multi-Agent Framework for Medical Reasoning via Semantic Routing and Agentic Fusion
    ACL 2026 ·
    Xiao Li
    ,
    Zhuo Chen
    , Jun Xia,
    Hongxin Xiang
    ,
    Chao Wang
    ,
    Wenjie Du
    ,
    Yang Wang
  3. Regressor-guided Diffusion Model for De Novo Peptide Sequencing with Explicit Mass Control
    AAAI 2026 ·
    Shaorong Chen
    ,
    Jingbo Zhou
    , Jun Xia
  4. VecFormer: Towards Efficient and Generalizable Graph Transformer with Graph Token Attention
    WWW 2026 ·
    Jingbo Zhou
    , Jun Xia,
    Siyuan Li
    ,
    Yunfan Liu
    ,
    Wenjun Wang
    ,
    Yufei Huang
    ,
    Changxi Chi
    ,
    Mutian Hong
    ,
    Zhuoli Ouyang
    ,
    Shu Wang
    ,
    Zhongqi Wang
    ,
    Xingyu Wu
    ,
    Chang Yu
    ,
    Stan Z. Li
  5. A Comprehensive and Systematic Review for Deep Learning-Based De Novo Peptide Sequencing
    IJCAI 2025 · Jun Xia,
    Jingbo Zhou
    ,
    Shaorong Chen
    ,
    Tianze Ling
    ,
    Stan Z. Li
  6. Bridging the Gap between Database Search and De Novo Peptide Sequencing with SearchNovo
    ICLR 2025 · Jun Xia,
    Sizhe Liu
    ,
    Jingbo Zhou
    ,
    Shaorong Chen
    ,
    Hongxin Xiang
    ,
    Zicheng Liu
    ,
    Yue Liu
    ,
    Stan Z. Li
  7. EDBench: Large-Scale Electron Density Data for Molecular Modeling
    NeurIPS 2025 ·
    Hongxin Xiang
    ,
    Ke Li
    ,
    Mingquan Liu
    ,
    Zhixiang Cheng
    ,
    Bin Yao
    ,
    Wenjie Du
    , Jun Xia,
    Li Zeng
    ,
    Xin Jin
    ,
    Xiangxiang Zeng
  8. Electron Density-enhanced Molecular Geometry Learning
    IJCAI 2025 ·
    Hongxin Xiang
    , Jun Xia,
    Xin Jin
    ,
    Wenjie Du
    ,
    Li Zeng
    ,
    Xiangxiang Zeng
  9. GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype
    IJCAI 2025 ·
    Changxi Chi
    , Jun Xia,
    Jingbo Zhou
    ,
    Jiabei Cheng
    ,
    Chang Yu
    ,
    Stan Z. Li
  10. MTGIB-UNet: A Multi-Task Graph Information Bottleneck and Uncertainty Weighted Network for ADMET Prediction
    IJCAI 2025 ·
    Xuqiang Li
    ,
    Wenjie Du
    , Jun Xia,
    Jianmin Wang
    ,
    Xiaoqi Wang
    ,
    Yang Yang
    ,
    Yang Wang
  11. MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction
    ICLR 2025 ·
    Cheng Tan
    ,
    Zhenxiao Cao
    ,
    Zhangyang Gao
    ,
    Lirong Wu
    ,
    Siyuan Li
    ,
    Yufei Huang
    , Jun Xia,
    Bozhen Hu
    ,
    Stan Z. Li
  12. PRESCRIBE: Predicting Single-Cell Responses with Bayesian Estimation
    NeurIPS 2025 ·
    Jiabei Cheng
    ,
    Changxi Chi
    ,
    Jingbo Zhou
    ,
    Hongyi Xin
    , Jun Xia
  13. ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing
    ICLR 2025 ·
    Shaorong Chen
    , Jun Xia,
    Jingbo Zhou
    ,
    Lecheng Zhang
    ,
    Zhangyang Gao
    ,
    Bozhen Hu
    ,
    Cheng Tan
    ,
    Wenjie Du
    ,
    Stan Z. Li
  14. A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer
    ICML 2024 ·
    Zhangyang Gao
    ,
    Daize Dong
    ,
    Cheng Tan
    , Jun Xia,
    Bozhen Hu
    ,
    Stan Z. Li
  15. AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases
    NeurIPS 2024 · Jun Xia,
    Shaorong Chen
    ,
    Jingbo Zhou
    ,
    Xiaojun Shan
    ,
    Wenjie Du
    ,
    Zhangyang Gao
    ,
    Cheng Tan
    ,
    Bozhen Hu
    ,
    Jiangbin Zheng
    ,
    Stan Z. Li
  16. An Image-enhanced Molecular Graph Representation Learning Framework
    IJCAI 2024 ·
    Hongxin Xiang
    ,
    Shuting Jin
    , Jun Xia,
    Man Zhou
    ,
    Jianmin Wang
    ,
    Li Zeng
    ,
    Xiangxiang Zeng
  17. Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer
    AAAI 2024 ·
    Cheng Tan
    ,
    Zhangyang Gao
    ,
    Lirong Wu
    , Jun Xia,
    Jiangbin Zheng
    ,
    Xihong Yang
    ,
    Yue Liu
    ,
    Bozhen Hu
    ,
    Stan Z. Li
  18. Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective
    ICML 2024 ·
    Cheng Tan
    ,
    Zhangyang Gao
    ,
    Hanqun Cao
    ,
    Xingran Chen
    ,
    Ge Wang
    ,
    Lirong Wu
    , Jun Xia,
    Jiangbin Zheng
    ,
    Stan Z. Li
  19. Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module
    NeurIPS 2024 ·
    Jingbo Zhou
    ,
    Yixuan Du
    ,
    Ruqiong Zhang
    , Jun Xia,
    Zhizhi Yu
    ,
    Zelin Zang
    ,
    Di Jin
    ,
    Carl Yang
    ,
    Rui Zhang
    ,
    Stan Z. Li
  20. DiscoGNN: A Sample-Efficient Framework for Self-Supervised Graph Representation Learning
    ICDE 2024 · Jun Xia,
    Shaorong Chen
    ,
    Yue Liu
    ,
    Zhangyang Gao
    ,
    Jiangbin Zheng
    ,
    Xihong Yang
    ,
    Stan Z. Li
  21. End-to-end Learnable Clustering for Intent Learning in Recommendation
    NeurIPS 2024 ·
    Yue Liu
    ,
    Shihao Zhu
    , Jun Xia,
    Yingwei Ma
    ,
    Jian Ma
    ,
    Xinwang Liu
    ,
    Shengju Yu
    ,
    Kejun Zhang
    ,
    Wenliang Zhong
  22. FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning
    NeurIPS 2024 ·
    Sizhe Liu
    , Jun Xia,
    Lecheng Zhang
    ,
    Yuchen Liu
    ,
    Yue Liu
    ,
    Wenjie Du
    ,
    Zhangyang Gao
    ,
    Bozhen Hu
    ,
    Cheng Tan
    ,
    Hongxin Xiang
    ,
    Stan Z. Li
  23. KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement
    ICLR 2024 ·
    Zhangyang Gao
    ,
    Cheng Tan
    ,
    Xingran Chen
    ,
    Yijie Zhang
    , Jun Xia,
    Siyuan Li
    ,
    Stan Z. Li
  24. Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure
    NeurIPS 2024 ·
    Bozhen Hu
    ,
    Cheng Tan
    , Jun Xia,
    Yue Liu
    ,
    Lirong Wu
    ,
    Jiangbin Zheng
    ,
    Yongjie Xu
    ,
    Yufei Huang
    ,
    Stan Z. Li
  25. MMGNN: A Molecular Merged Graph Neural Network for Explainable Solvation Free Energy Prediction
    IJCAI 2024 ·
    Wenjie Du
    ,
    Shuai Zhang
    ,
    Di Wu
    , Jun Xia,
    Ziyuan Zhao
    ,
    Junfeng Fang
    ,
    Yang Wang
  26. NovoBench: Benchmarking Deep Learning-based \emph{De Novo} Sequencing Methods in Proteomics
    NeurIPS 2024 ·
    Jingbo Zhou
    ,
    Shaorong Chen
    , Jun Xia,
    Sizhe Liu
    ,
    Tianze Ling
    ,
    Wenjie Du
    ,
    Yue Liu
    ,
    Jianwei Yin
    ,
    Stan Z. Li
  27. ProtGO: Function-Guided Protein Modeling for Unified Representation Learning
    NeurIPS 2024 ·
    Bozhen Hu
    ,
    Cheng Tan
    ,
    Yongjie Xu
    ,
    Zhangyang Gao
    , Jun Xia,
    Lirong Wu
    ,
    Stan Z. Li