Ph.D. Student
School of Engineering
Westlake University & Zhejiang University
Email: xiajun@westlake.edu.cn
Advisor: Stan Z. Li (IEEE Fellow)
Hi there! I am Jun Xia, a Ph.D. student at Westlake University and Zhejiang University, advised by Chair Prof. Stan Z. Li. Before Joining Westlake, I received my B.E. degree with honors from Central South University. My primary research interests lie in the intersection of Machine Learning and Computational Biochemistry, supported by the Fundamental Research Project for Young Ph.D. students from NSFC (首批国家自然科学基金青年学生基础研究项目(博士生)) and CIE-Tencent Doctoral Research Incentive Project (首届中国电子学会—腾讯博士生科研激励计划(混元大模型专项)).
🌟 Hiring: We are actively seeking funded visiting students, research assistant and self-motivated Ph.D. students. Since July 2022, almost every visiting student who worked with me has published papers at top conferences such as ICML, NeurIPS, and ICLR during their visit. If you are interested, please don't hesitate to contact me via Email.
@inproceedings{ anonymous2024towards, title={Towards Robust De Novo Peptide Sequencing in Proteomics against Data Biases}, author={Anonymous}, booktitle={The Thirty-eighth Annual Conference on Neural Information Processing Systems}, year={2024}, url={https://openreview.net/forum?id=0zfUiSX5si} }
@inproceedings{ anonymous2024towards, title={Towards Robust De Novo Peptide Sequencing in Proteomics against Data Biases}, author={Anonymous}, booktitle={The Thirty-eighth Annual Conference on Neural Information Processing Systems}, year={2024}, url={https://openreview.net/forum?id=0zfUiSX5si} }
@inproceedings{ xia2023understanding, title={Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions}, author={Jun Xia and Lecheng Zhang and Xiao Zhu and Yue Liu and Zhangyang Gao and Bozhen Hu and Cheng Tan and Jiangbin Zheng and Siyuan Li and Stan Z. Li}, booktitle={Thirty-seventh Conference on Neural Information Processing Systems}, year={2023} }
@inproceedings{Xia2023MoleBERTRP, title={Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules}, author={Jun Xia and Chengshuai Zhao and Bozhen Hu and Zhangyang Gao and Cheng Tan and Yue Liu and Siyuan Li and Stan Z. Li}, booktitle={International Conference on Learning Representations}, year={2023}, url={https://api.semanticscholar.org/CorpusID:259298531} }
@inproceedings{Xia2022ASS, title={A Systematic Survey of Chemical Pre-trained Models}, author={Jun Xia and Yanqiao Zhu and Yuanqi Du and Stan Z.Li}, booktitle={International Joint Conference on Artificial Intelligence}, year={2022}, url={https://api.semanticscholar.org/CorpusID:258352439} }
@inproceedings{ anonymous2024novobench, title={NovoBench: Benchmarking Deep Learning-based {\textbackslash}emph\{De Novo\} Sequencing Methods in Proteomics}, author={Anonymous}, booktitle={The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track}, year={2024}, url={https://openreview.net/forum?id=RQlbMrA5XL} }
@inproceedings{ anonymous2024novobench, title={NovoBench: Benchmarking Deep Learning-based {\textbackslash}emph\{De Novo\} Sequencing Methods in Proteomics}, author={Anonymous}, booktitle={The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track}, year={2024}, url={https://openreview.net/forum?id=RQlbMrA5XL} }
@inproceedings{ gao2023cosp, title={CoSP: Co-supervised pretraining of pocket and ligand}, author={Zhangyang Gao and Cheng Tan and Jun Xia and Stan Z. Li}, booktitle={ECML-PKDD}, year={2023} }
@inproceedings{ anonymous2024kwdesign, title={{KW}-Design: Pushing the Limit of Protein Deign via Knowledge Refinement}, author={Anonymous}, booktitle={The Twelfth International Conference on Learning Representations}, year={2024}, url={https://openreview.net/forum?id=mpqMVWgqjn} }
@inproceedings{ gao2023cosp, title={CoSP: Co-supervised pretraining of pocket and ligand}, author={Zhangyang Gao and Cheng Tan and Jun Xia and Stan Z. Li}, booktitle={ECML-PKDD}, year={2023} }
@article{Xia2022SimGRACEAS, title={SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation}, author={Jun Xia and Lirong Wu and Jintao Chen and Bozhen Hu and Stan Z. Li}, journal={Proceedings of the ACM Web Conference 2022}, year={2022}, url={https://api.semanticscholar.org/CorpusID:246634345} }
@inproceedings{Xia2021ProGCLRH, title={ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning}, author={Jun Xia and Lirong Wu and Ge Wang and Jintao Chen and Stan Z. Li}, booktitle={International Conference on Machine Learning}, year={2021}, url={https://api.semanticscholar.org/CorpusID:249282506} }
@article{xia2023gnn, title={GNN Cleaner: Label Cleaner for Graph Structured Data}, author={Xia, Jun and Lin, Haitao and Xu, Yongjie and Tan, Cheng and Wu, Lirong and Li, Siyuan and Li, Stan Z}, journal={IEEE Transactions on Knowledge and Data Engineering}, year={2023}, publisher={IEEE} }
@article{xia2023gnn, title={DiscoGNN: A Sample-Efficient Framework for Graph Self-supervised Representation Learning}, author={Xia, Jun and Chen, Shaorong and Liu, Yue and Gao, Zhangyang and Zheng, Jiangbing and Yang, Xihong and Li, Stan Z}, journal={International Conference on Data Engineering (ICDE)}, year={2024}, publisher={IEEE} }
@inproceedings{Liu2023DinkNetNC, title={Dink-Net: Neural Clustering on Large Graphs}, author={Yue Liu and Kenny Ye Liang and Jun Xia and Sihang Zhou and Xihong Yang and Xinwang Liu and Stan Z. Li}, booktitle={International Conference on Machine Learning}, year={2023}, url={https://api.semanticscholar.org/CorpusID:258967414} }
@inproceedings{Wu2022GraphMixupIC, title={GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Context Prediction}, author={Lirong Wu and Jun Xia and Zhangyang Gao and Haitao Lin and Cheng Tan and Stan Z. Li}, booktitle={ECML/PKDD}, year={2022}, url={https://api.semanticscholar.org/CorpusID:252507534} }
@article{Tan2021ColearningLF, title={Co-learning: Learning from Noisy Labels with Self-supervision}, author={Cheng Tan and Jun Xia and Lirong Wu and Stan Z. Li}, journal={Proceedings of the 29th ACM International Conference on Multimedia}, year={2021}, url={https://api.semanticscholar.org/CorpusID:236956719} }
@article{Zheng2023CVTSLRCV, title={CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition with Variational Alignment}, author={Jiangbin Zheng and Yile Wang and Cheng Tan and Siyuan Li and Ge Wang and Jun Xia and Yidong Chen and Stan Z. Li}, journal={2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year={2023}, pages={23141-23150}, url={https://api.semanticscholar.org/CorpusID:257482618} }
2024: CIE-Tencent Doctoral Research Incentive Project((首届)中国电子学会—腾讯博士生科研激励计划).
2024: Fundamental Research Project for Young Ph.D. students from NSFC(首批国家自然科学基金青年学生基础研究项目(博士生)).
2024: DAAD AINet Fellowship.
2023: Rising Star in AI (awarded by KAUST AI Initiative headed by Prof. Jürgen Schmidhuber)
2023: Apple AI/ML Scholar Finalist
2023: NeurIPS Scholar Award.
2023: Suwu Scholarship.
2023: Westlake Presidential Awards (The highest honor at Westlake Univ.).
2022: National Scholarship.
2022: ICML 2022 Participation Grant.
2021: Outstanding Student Cadre, Zhejiang University.
2021: Outstanding Student, Zhejiang University.
2020: Outstanding Graduate of Central South University.
2019: The Interdisciplinary Contest in Modeling (ICM) of America, Meritorious Winner (The First Prize).
2018: World Robot Competition in World Robot Conference (WRC) 2018, The Third Prize.
2017: National Scholarship.
2017, 2018 & 2019: The First Class Scholarship, Central South University.
2017, 2018 & 2019: Outstanding Student, Central South University.