Jun Xia

Departures: Distributional Transport for Single-Cell Perturbation Prediction with Neural Schrödinger Bridges AAAI 2026 Is Exchangeability better than I.I.D. to handle Data Distribution Shifts while Pooling Data for Data-scarce Medical image segmentation? MIDL 2026 Regressor-guided Diffusion Model for De Novo Peptide Sequencing with Explicit Mass Control AAAI 2026 Robust3DGSW: Toward Robust Watermarking for Quantization-Aware 3D Gaussian Splatting CVPR 2026 SGI: Structured 2D Gaussians for Efficient and Compact Large Image Representation CVPR 2026 A Comprehensive and Systematic Review for Deep Learning-Based De Novo Peptide Sequencing IJCAI 2025 Bridging the Gap between Database Search and \emph{De Novo} Peptide Sequencing with SearchNovo ICLR 2025 Electron Density-enhanced Molecular Geometry Learning IJCAI 2025 GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype IJCAI 2025 MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction ICLR 2025 MTGIB-UNet: A Multi-Task Graph Information Bottleneck and Uncertainty Weighted Network for ADMET Prediction IJCAI 2025 ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing ICLR 2025 AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases NeurIPS 2024 A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer ICML 2024 An Image-enhanced Molecular Graph Representation Learning Framework IJCAI 2024 Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer AAAI 2024 Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective ICML 2024 Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module NeurIPS 2024 End-to-end Learnable Clustering for Intent Learning in Recommendation NeurIPS 2024 FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning NeurIPS 2024 KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement ICLR 2024 Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure NeurIPS 2024 MMGNN: A Molecular Merged Graph Neural Network for Explainable Solvation Free Energy Prediction IJCAI 2024 NovoBench: Benchmarking Deep Learning-based \emph{De Novo} Sequencing Methods in Proteomics NeurIPS 2024 ProtGO: Function-Guided Protein Modeling for Unified Representation Learning NeurIPS 2024 WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks NeurIPS 2024 A Systematic Survey of Chemical Pre-trained Models IJCAI 2023 CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition With Variational Alignment CVPR 2023 Dink-Net: Neural Clustering on Large Graphs ICML 2023 Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules ICLR 2023 Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning CVPR 2023 Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions NeurIPS 2023 Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation IJCAI 2022 Generalized Clustering and Multi-Manifold Learning With Geometric Structure Preservation WACV 2022 ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning ICML 2022 Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings ACL 2022