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Jun Xia

34 papers · 2022–2026 · 9 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird
🧭 Keyword Pioneer 🐝 Cross-Pollinator (10) 🀝 Dynamic Duo (23) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (13) πŸ† Keyword Champion (2) ⚑ Prolific Year (14) πŸ—ƒοΈ Keyword Collector (128) πŸ’Ž Century Club (31) πŸ”₯ Unstoppable (5)

Conferences

NIPS (9) IJCAI (8) ICLR (5) ICML (4) AAAI (3) CVPR (2) ACL (1) MIDL (1) WACV (1)

Top co-authors

Stan Z. Li (24) Cheng Tan (14) Zhangyang Gao (12) Bozhen Hu (10) Yue Liu (9) Lirong Wu (8) Jiangbin Zheng (8) Jingbo Zhou (8) Wenjie Du (7) Siyuan Li (7)

Research topics

Privacy (1)

Keywords

graph neural network (8) mass spectrometry (4) peptide sequencing (4) deep learning (4) neural network (2) contrastive learning (2) generative model (2) drug discovery (2) molecular property prediction (2) molecular representation (2) adversarial learning (2) molecular graph (2) representation learning (2) knowledge distillation (2) protein representation (2) drug design (2) cross-modal learning (2) attention mechanism (1) self-supervised learning (1) optimal transport (1)

Papers

Regressor-guided Diffusion Model for De Novo Peptide Sequencing with Explicit Mass Control 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 Departures: Distributional Transport for Single-Cell Perturbation Prediction with Neural SchrΓΆdinger Bridges AAAI 2026 MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction ICLR 2025 ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing ICLR 2025 Bridging the Gap between Database Search and \emph{De Novo} Peptide Sequencing with SearchNovo ICLR 2025 GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype IJCAI 2025 MTGIB-UNet: A Multi-Task Graph Information Bottleneck and Uncertainty Weighted Network for ADMET Prediction IJCAI 2025 Electron Density-enhanced Molecular Geometry Learning IJCAI 2025 A Comprehensive and Systematic Review for Deep Learning-Based De Novo Peptide Sequencing IJCAI 2025 Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module NIPS 2024 NovoBench: Benchmarking Deep Learning-based \emph{De Novo} Sequencing Methods in Proteomics NIPS 2024 Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure NIPS 2024 Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer AAAI 2024 KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement ICLR 2024 End-to-end Learnable Clustering for Intent Learning in Recommendation NIPS 2024 AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases NIPS 2024 Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective ICML 2024 MMGNN: A Molecular Merged Graph Neural Network for Explainable Solvation Free Energy Prediction IJCAI 2024 An Image-enhanced Molecular Graph Representation Learning Framework IJCAI 2024 FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning NIPS 2024 WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks NIPS 2024 ProtGO: Function-Guided Protein Modeling for Unified Representation Learning NIPS 2024 A Graph is Worth $K$ Words: Euclideanizing Graph using Pure Transformer ICML 2024 Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions NIPS 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 A Systematic Survey of Chemical Pre-trained Models IJCAI 2023 Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules ICLR 2023 Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning CVPR 2023 Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation IJCAI 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 Generalized Clustering and Multi-Manifold Learning With Geometric Structure Preservation WACV 2022