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

Publications & Awards

Publications in AI + X（# corresponding author)

  1. 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)

  2. 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)

  3. 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

  4. 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)

  5. 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. 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).

  2. 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)

  3. 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)

  4. 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.

  5. 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)

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

  7. 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)

  8. 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).

  9. 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)

  10. 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)

  11. 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)

  12. 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).

  13. 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)

  14. 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)

  15. 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)

  16. 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). (IF:5.414, Q2)

  17. 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).

  18. 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)

  19. Stagewise learning for noisy k-ary preferences
    Yuangang Pan, Bo Han, and Ivor W. Tsang.
    Machine Learning, 107, 1333–1361 (2018). (IF:5.414, Q2)

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

Grants

  1. AI in RNA 3D-structure prediction. A*STAR GAP funding. Co-PI. S$985,400, 1 Dec 2023 - 30 Nov 2024.

  2. Handy directional generation of biological synthetics with lazy experts. A*STAR Career Development Fund (CDF). PI. S$148,000, 1 Sep 2022 - 31 Aug 2024.

  3. Towards Improving Generalization in Deep Reinforcement Learning. National Natural Science Foundation of China (NSFC). Co-I. 540,000 CNY, 1 Jan 2023 – 31 Dec 2026.

  4. Neural Optimization Kernel and Fast Structured Kernel Approximation for Machine Unlearning. AI3 HTCO Seed Fund 2022. Co-I. S$267,000, 1 Apr 2023 - 31 Mar 2024

  5. Efficient Materials Design with Fewer Domain Evaluations. A*STAR Pitchfest 2023. Co-I. S$70,000, 1 July 2023 – 30 Jun 2024

Awards

  • 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