Jun Xia

Orcid: 0000-0002-7993-0803

Affiliations:
  • Zhejiang University, Hangzhou, China
  • Westlake University, School of Engineering, AI Lab, Hangzhou, China


According to our database1, Jun Xia authored at least 105 papers between 2015 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
A Survey of Deep Graph Clustering: Taxonomy, Challenge, Application, and Open Resource.
IEEE Trans. Knowl. Data Eng., June, 2026

SKIP: A Prototype-Based Scalable Knowledge Graph Representation Learning Method.
IEEE Trans. Neural Networks Learn. Syst., April, 2026

Assessing the role of gridded evapotranspiration products in improving streamflow simulation and reducing hydrological modeling uncertainty.
Ecol. Informatics, 2026

VecFormer: Towards Efficient and Generalizable Graph Transformer with Graph Token Attention.
Proceedings of the ACM Web Conference 2026, 2026

Departures: Distributional Transport for Single-Cell Perturbation Prediction with Neural Schrödinger Bridges.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Regressor-guided Diffusion Model for De Novo Peptide Sequencing with Explicit Mass Control.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
PRESCRIBE: Predicting Single-Cell Responses with Bayesian Estimation.
CoRR, October, 2025

Multimodal Regression for Enzyme Turnover Rates Prediction.
CoRR, September, 2025

Unlasting: Unpaired Single-Cell Multi-Perturbation Estimation by Dual Conditional Diffusion Implicit Bridges.
CoRR, June, 2025

EDBench: Large-Scale Electron Density Data for Molecular Modeling.
CoRR, May, 2025

Adversarial Curriculum Graph-Free Knowledge Distillation for Graph Neural Networks.
CoRR, April, 2025

NodeReg: Mitigating the Imbalance and Distribution Shift Effects in Semi-Supervised Node Classification via Norm Consistency.
CoRR, March, 2025

GuardReasoner: Towards Reasoning-based LLM Safeguards.
CoRR, January, 2025

Complex hierarchical structures analysis in single-cell data with Poincaré deep manifold transformation.
Briefings Bioinform., January, 2025

An image-based protein-ligand binding representation learning framework via multi-level flexible dynamics trajectory pre-training.
Bioinform., 2025

SP-DTI: subpocket-informed transformer for drug-target interaction prediction.
Bioinform., 2025

Electron Density-enhanced Molecular Geometry Learning.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

A Comprehensive and Systematic Review for Deep Learning-Based De Novo Peptide Sequencing.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

MTGIB-UNet: A Multi-Task Graph Information Bottleneck and Uncertainty Weighted Network for ADMET Prediction.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Bridging the Gap between Database Search and De Novo Peptide Sequencing with SearchNovo.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
GNN Cleaner: Label Cleaner for Graph Structured Data.
IEEE Trans. Knowl. Data Eng., February, 2024

NovoBench: Benchmarking Deep Learning-based De Novo Peptide Sequencing Methods in Proteomics.
CoRR, 2024

AdaNovo: Adaptive \emph{De Novo} Peptide Sequencing with Conditional Mutual Information.
CoRR, 2024

Online Differentiable Clustering for Intent Learning in Recommendation.
CoRR, 2024

Graph-level Protein Representation Learning by Structure Knowledge Refinement.
CoRR, 2024

Masked Modeling for Self-supervised Representation Learning on Vision and Beyond.
CoRR, 2024

Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

NovoBench: Benchmarking Deep Learning-based \emph{De Novo} Sequencing Methods in Proteomics.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

End-to-end Learnable Clustering for Intent Learning in Recommendation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

ProtGO: Function-Guided Protein Modeling for Unified Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

An Image-enhanced Molecular Graph Representation Learning Framework.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

MMGNN: A Molecular Merged Graph Neural Network for Explainable Solvation Free Energy Prediction.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

DiscoGNN: A Sample-Efficient Framework for Self-Supervised Graph Representation Learning.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Ecological health analysis of wetlands in the middle reaches of Yangtze River under changing environment.
Int. J. Digit. Earth, December, 2023

Spatiotemporal Heterogeneity of Water Conservation Function and Its Driving Factors in the Upper Yangtze River Basin.
Remote. Sens., November, 2023

Historical Attributions and Future Projections of Gross Primary Productivity in the Yangtze River Basin under Climate Change Based on a Novel Coupled LUE-RE Model.
Remote. Sens., September, 2023

Impact of Urbanization on Regional Rainfall-Runoff Processes: Case Study in Jinan City, China.
Remote. Sens., May, 2023

Identifying the Responses of Vegetation Gross Primary Productivity and Water Use Efficiency to Climate Change under Different Aridity Gradients across China.
Remote. Sens., March, 2023

Deep learning instance segmentation framework for burnt area instances characterization.
Int. J. Appl. Earth Obs. Geoinformation, February, 2023

MMDesign: Multi-Modality Transfer Learning for Generative Protein Design.
CoRR, 2023

Revisiting the Temporal Modeling in Spatio-Temporal Predictive Learning under A Unified View.
CoRR, 2023

Why Deep Models Often cannot Beat Non-deep Counterparts on Molecular Property Prediction?
CoRR, 2023

Co-supervised Pre-training of Pocket and Ligand.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CONVERT: Contrastive Graph Clustering with Reliable Augmentation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Reinforcement Graph Clustering with Unknown Cluster Number.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

A Systematic Survey of Chemical Pre-trained Models.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Dink-Net: Neural Clustering on Large Graphs.
Proceedings of the International Conference on Machine Learning, 2023

Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Wordreg: Mitigating the Gap between Training and Inference with Worst-Case Drop Regularization.
Proceedings of the IEEE International Conference on Acoustics, 2023

Global-Context Aware Generative Protein Design.
Proceedings of the IEEE International Conference on Acoustics, 2023

Deep Manifold Graph Auto-Encoder For Attributed Graph Embedding.
Proceedings of the IEEE International Conference on Acoustics, 2023

CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition with Variational Alignment.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
BA_EnCaps: Dense Capsule Architecture for Thermal Scrutiny.
IEEE Trans. Geosci. Remote. Sens., 2022

Attributions of Evapotranspiration and Gross Primary Production Changes in Semi-Arid Region: A Case Study in the Water Source Area of the Xiong'an New Area in North China.
Remote. Sens., 2022

Inner Dynamic Detection and Prediction of Water Quality Based on CEEMDAN and GA-SVM Models.
Remote. Sens., 2022

Influence of Terrestrial Water Storage on Flood Potential Index in the Yangtze River Basin, China.
Remote. Sens., 2022

Merging Multisatellite and Gauge Precipitation Based on Geographically Weighted Regression and Long Short-Term Memory Network.
Remote. Sens., 2022

Multi-level disentanglement graph neural network.
Neural Comput. Appl., 2022

Protein Language Models and Structure Prediction: Connection and Progression.
CoRR, 2022

A Survey of Deep Graph Clustering: Taxonomy, Challenge, and Application.
CoRR, 2022

A Systematic Survey of Molecular Pre-trained Models.
CoRR, 2022

Teaching Yourself: Graph Self-Distillation on Neighborhood for Node Classification.
CoRR, 2022

Generative De Novo Protein Design with Global Context.
CoRR, 2022

A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications.
CoRR, 2022

SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Generalized Clustering and Multi-Manifold Learning with Geometric Structure Preservation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Context Prediction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning.
Proceedings of the International Conference on Machine Learning, 2022

OT Cleaner: Label Correction as Optimal Transport.
Proceedings of the IEEE International Conference on Acoustics, 2022

Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Impact of Urban Expansion on Rain Island Effect in Jinan City, North China.
Remote. Sens., 2021

Research and Analysis of Ecological Environment Quality in the Middle Reaches of the Yangtze River Basin between 2000 and 2019.
Remote. Sens., 2021

Novel hybrid coupling of ecohydrology and socioeconomy at river basin scale: A watershed system model for the Heihe River basin.
Environ. Model. Softw., 2021

Debiased Graph Contrastive Learning.
CoRR, 2021

Invertible Manifold Learning for Dimension Reduction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Co-learning: Learning from Noisy Labels with Self-supervision.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020
Quantifying the Influences of Natural Factors and Human Activities on NDVI Changes in the Hanjiang River Basin, China.
Remote. Sens., 2020

A comprehensive assessment framework for quantifying climatic and anthropogenic contributions to streamflow changes: A case study in a typical semi-arid North China basin.
Environ. Model. Softw., 2020

Development of an interface-oriented add-in modeling framework for integrated water system simulation and its application.
Environ. Model. Softw., 2020

Deep Clustering and Representation Learning that Preserves Geometric Structures.
CoRR, 2020

Drought Monitoring in Sub-Sahara Africa.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Land Use and Land Cover Change of Ghana.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Change of Impervious Surface of Chengdu City, China.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Utilizing Satellite Surface Soil Moisture Data in Calibrating a Distributed Hydrological Model Applied in Humid Regions Through a Multi-Objective Bayesian Hierarchical Framework.
Remote. Sens., 2019

A Censored Shifted Mixture Distribution Mapping Method to Correct the Bias of Daily IMERG Satellite Precipitation Estimates.
Remote. Sens., 2019

Evaluation of Six Satellite-Based Precipitation Products and Their Ability for Capturing Characteristics of Extreme Precipitation Events over a Climate Transition Area in China.
Remote. Sens., 2019

Characteristics of the Flexible Graphite Grounding Material and its Engineering Application.
IEEE Access, 2019

Urban Functional Regions Discovering Based on Deep Learning.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Land Price Assesment Based on Deep Neural Network.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Monitoring of Drought Change in the Middle Reach of Yangtze River.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2015
Drought monitoring and warning in the middle reach of Yangtze River with MODIS.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

The application of ant colony algorithm in emergency rescue with GIS.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Quantifying temporal-spatial variability of land-surface temperature anomalies using DP-based algorithm.
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015


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