PPaperPicks

Jun Xia

Hong Kong University of Science and Technology, Guangzhou, China

27 papers at tracked venues · 21 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Departures: Distributional Transport for Single-Cell Perturbation Prediction with Neural Schrödinger Bridges
  2. Med-SRAF: A Multi-Agent Framework for Medical Reasoning via Semantic Routing and Agentic Fusion
  3. Regressor-guided Diffusion Model for De Novo Peptide Sequencing with Explicit Mass Control
  4. VecFormer: Towards Efficient and Generalizable Graph Transformer with Graph Token Attention
  5. A Comprehensive and Systematic Review for Deep Learning-Based De Novo Peptide Sequencing
    IJCAI 2025 · Jun Xia
  6. Bridging the Gap between Database Search and De Novo Peptide Sequencing with SearchNovo
    ICLR 2025 · Jun Xia
  7. EDBench: Large-Scale Electron Density Data for Molecular Modeling
  8. Electron Density-enhanced Molecular Geometry Learning
  9. GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype
  10. MTGIB-UNet: A Multi-Task Graph Information Bottleneck and Uncertainty Weighted Network for ADMET Prediction
  11. MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction
  12. PRESCRIBE: Predicting Single-Cell Responses with Bayesian Estimation
  13. ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing
  14. A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer
  15. AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases
    NeurIPS 2024 · Jun Xia
  16. An Image-enhanced Molecular Graph Representation Learning Framework
  17. Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer
  18. Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective
  19. Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module
  20. DiscoGNN: A Sample-Efficient Framework for Self-Supervised Graph Representation Learning
    ICDE 2024 · Jun Xia
  21. End-to-end Learnable Clustering for Intent Learning in Recommendation
  22. FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning
  23. KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement
  24. Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure
  25. MMGNN: A Molecular Merged Graph Neural Network for Explainable Solvation Free Energy Prediction
  26. NovoBench: Benchmarking Deep Learning-based \emph{De Novo} Sequencing Methods in Proteomics
  27. ProtGO: Function-Guided Protein Modeling for Unified Representation Learning