Pan Yuangang
Pan Yuangang
Senior Scientist, CFAR, A*STAR

Publications & Awards

Publications in AI + X（# corresponding author)

  1. PROUD: PaRetO-gUided Diffusion Model for Multi-objective Generation
    Yinghua Yao, Yuangang Pan#, Jing Li, Ivor W. Tsang, Xin Yao.
    Machine Learning. Journal track of ECML/PKDD 2024. 10.1007/s10994-024-06575-2. Code avaliable

  2. The brain age of hippocampus-centred regions and associations with APOE genotype
    Chao Dong, Yuangang Pan, Anbupalam Thalamuthu, Jiyang Jiang, Karen Mather, Perminder Sachdev, Wei Wen
    Human Brain Mapping (OHBM) Annual Meeting. (2024). (Level-A medical conference)

  3. White matter brain age as a biomarker of cerebrovascular burden in the ageing brain
    Jing Du, Yuangang Pan, Jiyang Jiang, Ben C. P. Lam, Anbupalam Thalamuthu, Rory Chen, Ivor Tsang, Perminder Sachdev, Wei Wen
    European Archives of Psychiatry and Clinical Neuroscience. (2024). (IF:4.7, Q2)

  4. Association of blood pressure with brain ages: a cohort study of grey and white matter ageing discrepancy in mid-to-older adults from UK Biobank,Weblink
    Jing Du, Yuangang Pan, Jiyang Jiang, Yue Liu, Ben C. P. Lam, Aletta Schutte, Ivor Tsang, Perminder Sachdev, Wei Wen.
    Hypertension. (2024). (IF:8.3, Q1) Code avaliable

  5. Online Mental Fatigue Monitoring via Indirect Brain Dynamics Evaluation
    Yuangang Pan, Ivor W. Tsang, Yueming Lyu, Avinash K Singh, and Chin-teng Lin.
    Neural Computation. 33(6): 1616-1655 (2021) (IF:3.278, Q1)

  6. Stochastic Multi-Channel Ranking with Brain Dynamics Preferences
    Yuangang Pan, Ivor W. Tsang, Avinash K Singh, and Chin-teng Lin, Masashi Sugiyama.
    Neural Computation. 32(8): 1499-1530 (2020) (IF:3.278, Q1)

Publications in Machine Learning（# corresponding author)

  1. Boosting with Fewer Tokens: Multi-Query Optimization for LLMs Using Node Text and Neighbor Cues
    Yujie Fang, Xin Li, Yuangang Pan, Xin Huang, Ivor W. Tsang
    Proceedings of IEEE International Conference on Data Engineering (ICDE). (2025).

  2. Group Feature Selection Using Non-Class Data
    Chunna Li, Yuangang Pan, Weijie Chen, Ivor W. Tsang, Yuanhai Shao
    Machine Learning. (2025).

  3. Sharpening Deep Graph Clustering via Diverse Bellwethers
    Peiyao Zhao, Xin Li#, Yuangang Pan#, Ivor W.Tsang, Mingzhong Wang, Lejian Liao
    Knowledge-Based Systems. (2025).

  4. Max-Mahalanobis Anchors Guidance for Multi-View Clustering
    Pei Zhang, Yuangang Pan, Siwei Wang, Shengju Yu, Huiying Xu, En Zhu, Xinwang Liu, and Ivor Tsang
    Proceedings of the 39th AAAI Conference on Artificial Intelligence. (2025).

  5. Scalable Unpaired Multi-view Clustering with Bipartite Graph Matching
    Xingfeng Li, Yuangang Pan#, Yuan Sun, Yinghui Sun, Quansen Sun, Zhenwen Ren#, and Ivor W. Tsang
    Information Fusion. (2024). (IF:14.7, Q1)

  6. Generation with Nuanced Changes: Continuous Image-to-Image Translation with Adversarial Preferences
    Yinghua Yao, Yuangang Pan, Ivor W. Tsang, and Xin Yao.
    IEEE Transactions on Artificial Intelligence. (2024).

  7. Incomplete Multi-view Clustering with Paired and Balanced Dynamic Anchor Learning
    Xingfeng Li, Yuangang Pan, Yuan Sun, Quansen Sun, Yinghui Sun, Ivor W. Tsang, and Zhenwen Ren
    IEEE Transactions on Multimedia. (2024). (IF:8.4, Q1)

  8. Fast Unpaired Multi-view Clustering
    Xingfeng Li, Yuangang Pan, Yinghui Sun, Quansen Sun, Ivor W. Tsang, Zhenwen Ren.
    Proceedings of the 33rd International Joint Conference on Artificial Intelligence. (2024).

  9. Generative Adversarial Ranking Nets
    Yinghua Yao, Yuangang Pan#, Jing Li, Ivor W. Tsang, Xin Yao.
    Journal of Machine Learning Research. (2024). Code avaliable (Top-1 in Machine Learning)

  10. BGAE: Auto-encoding Multi-view Bipartite Graph Clustering
    Liang Li, Yuangang Pan, Jie Liu, Yue Liu, Xinwang Liu, Kenli Li, Ivor Tsang, Keqin Li.
    IEEE Transactions on Knowledge and Data Engineering. (2024). 10.1109/TKDE.2024.3363217. (IF: 8.9, Q1)

  11. PC-X: Profound Clustering via Slow Exemplars
    Yuangang Pan, Yinghua Yao, Ivor Tsang.
    Proceedings of Conference on Parsimony and Learning (CPAL). (2024). Best Paper Award.

  12. Learning node representations against perturbations
    Xu Chen, Yuangang Pan, Ivor Tsang, Ya Zhang.
    Pattern Recognition. (2024). https://doi.org/10.1016/j.patcog.2023.109976 (IF:8.518, Q1)

  13. Sanitized Clustering Against Confounding Bias
    Yinghua Yao, Yuangang Pan, Jing Li, Ivor W. Tsang, Xin Yao.
    Machine Learning. (2023). Journal track of ACML 2023. (IF:5.414, Q2)

  14. Taming Overconfident Prediction on Unlabelled Data from Hindsight
    Jing Li, Yuangang Pan#, and Ivor W. Tsang.
    IEEE Transactions on Neural Networks and Learning Systems. (2023). 10.1109/TNNLS.2023.3274845 (IF:14.255, Q1)

  15. Earning Extra Performance from Restrictive Feedbacks
    Jing Li, Yuangang Pan#, Yueming Lyu, Yinghua Yao, Yulei Sui, and Ivor W. Tsang.
    IEEE Transactions on Pattern Analysis and Machine Intelligence. (2023). 10.1109/TPAMI.2023.3273249. (IF:24.314, Q1).

  16. Coarse-to-Fine Contrastive Learning on Graphs
    Peiyao Zhao, Yuangang Pan, Xin Li, Xu Chen, Ivor W. Tsang, and Lejian Liao.
    IEEE Transactions on Neural Networks and Learning Systems. (2023). 10.1109/TNNLS.2022.3228556. (IF:14.255, Q1)

  17. Differential-Critic GAN: Generating What You Want by a Cue of Preferences
    Yinghua Yao, Yuangang Pan#, Ivor W. Tsang, and Xin Yao.
    IEEE Transactions on Neural Networks and Learning Systems. (2022). 10.1109/TNNLS.2022.3197313. (IF:14.255, Q1)

  18. Towards Equivalent Transformation of User Preferences in Cross Domain Recommendation
    Xu Chen, Ya Zhang, Ivor W. Tsang, Yuangang Pan, and Jingchao Su.
    ACM Transactions on Information Systems. 41(1): 14:1-14:31 (2023) (IF:4.657, Q1)

  19. Fast and Robust Rank Aggregation against Model Misspecification
    Yuangang Pan, Ivor W. Tsang, Weijie Chen, Gang Niu, and Masashi Sugiyama.
    Journal of Machine Learning Research. 23: 23:1-23:35 (2022) (Top-1 in Machine Learning).

  20. Domain-adversarial Network Alignment
    Huiting Hong, Xin Li, Yuangang Pan, and Ivor W. Tsang.
    IEEE Transactions on Knowledge and Data Engineering. 34(7): 3211-3224 (2022) (IF: 9.235, Q1)

  21. Multiview Alignment and Generation in CCA via Consistent Latent Encoding
    Yaxin Shi, Yuangang Pan, Donna Xu, and Ivor W. Tsang.
    Neural Computation. 32(10): 1936-1979 (2020). (IF:3.278, Q1)

  22. Secure Metric Learning via Differential Pairwise Privacy
    Jing Li, Yuangang Pan, Yulei Sui, and Ivor W. Tsang.
    IEEE Transactions on Information Forensics and Security. 3640-3652 (2020). (IF:7.231, Q1)

  23. Millionaire: A Hint-guided Approach for Crowdsourcing
    Bo Han, Quanming Yao, Yuangang Pan, Ivor W. Tsang, Xiaokui Xiao, Qiang Yang, and Masashi Sugiyama.
    Machine Learning, 108, pages831–858 (2019). Journal track of ACML 2018. (IF:5.414, Q2)

  24. Label embedding with partial heterogeneous contexts
    Yaxin Shi, Donna Xu, Yuangang Pan, and Ivor W. Tsang.
    Proceedings of AAAI Conference on Artificial Intelligence, 33(01), 4926-4933. (2019).

  25. Support Matching: A Novel Regularization to Escape from Mode Collapse in GANs
    Yinghua Yao, Yuangang Pan, Ivor W. Tsang, and Xin Yao.
    Proceedings of International Conference on Neural Information Processing, 40-48. (2019)

  26. Stagewise learning for noisy k-ary preferences
    Yuangang Pan, Bo Han, and Ivor W. Tsang.
    Machine Learning, 107, 1333–1361 (2018). Journal track of ECML/PKDD 2018. (IF:5.414, Q2)

  27. Robust Plackett–Luce model for k-ary crowdsourced preferences
    Bo Ha1, Yuangang Pan1, and Ivor W. Tsang.
    Machine Learning, 107 675-702 (2018). (Equal). Journal track of ACML 2017. (IF:5.414, Q2)

Awards

  • Best Poster Award at AI4Science and Nobel Turing Challenge Conference 2024

  • CPAL Best Paper Award 2024

  • A*STAR Career Development Fund 2022-2024

  • UTS FEIT PhD Post-Thesis Publication Award 2019

  • UTS Vice-Chancellor’s Postgraduate Research Student Conference Fund, 2018

  • UTS President’s Scholarship 2017-2019, (10/300+)

  • Meritorious of the Interdisciplinary Contest in Modeling (ICM), 2013