教育背景

2014年9月-2018年6月，中国矿业大学，统计学，学士

2018年9月-2023年6月，中山大学，应用数学，博士

工作经历

2023年8月-2025年9月，中山大学，博士后

2025年9月-至今，北京师范大学珠海校区，特聘副研究员

研究方向

统计学习理论、最优传输、核方法、迁移学习

代表论文

1. Y. W. Luo, C. X. Ren*. When Invariant Representation Learning Meets Label Shift: Insufficiency and Theoretical Insights. IEEE TPAMI, 2024, 46(12): 9407-9422.

2. Y. W. Luo, C. X. Ren*, X. L. Xu, Qingshan Liu. Geometric Understanding of Discriminability and Transferability for Visual Domain Adaptation. IEEE TPAMI, 2024, 46(12): 8727-8742.

3. C. X. Ren*, Y. W. Luo, D. Q. Dai. BuresNet: Conditional Bures Metric for Transferable Representation Learning. IEEE TPAMI, 2023, 45(4): 4198-4213.

4. Y. W. Luo, C. X. Ren*, D. Q. Dai, Hong Yan. Unsupervised Domain Adaptation via Discriminative Manifold Propagation. IEEE TPAMI, 2022, 44(3): 1653-1669.

5. M. Pan, G. Lin, Y. W. Luo*, B. Zhu, Z. Dai, L. Sun, C. Yuan*. Preference Optimization for Combinatorial Optimization Problems. ICML, 2025.

6. Y. W. Luo, Z. H. Li, C. X. Ren*. MPOT: Manifold Preserving Optimal Transport for Visual Recognition Under Severe Distribution Shift. ICASSP (Oral), 2025.

7. Y. W. Luo, Y. M. Zhai, C. X. Ren*. Invariant Model Learning on Local-Aware Wasserstein Geodesic for Domain Adaptation. ICASSP, 2025.

8. Y. W. Luo, C. X. Ren*. MOT: Masked Optimal Transport for Partial Domain Adaptation. CVPR, 2023.

9. Y. W. Luo, C. X. Ren*. Conditional Bures Metric for Domain Adaptation. CVPR, 2021.

10. Y. W. Luo, C. X. Ren*, P. Ge, K. K. Huang, Y. F. Yu. Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment. AAAI (Oral), 2020.

11. C. X. Ren*, Y. W. Luo, X. L. Xu, D. Q. Dai, Hong Yan. Discriminative Residual Analysis for Image Set Classification With Posture and Age Variations. IEEE TIP, 2020, 29: 2875-2888.

12. W. Shi, Y. W. Luo, G. Wu*. On General Matrix Exponential Discriminant Analysis Methods for High Dimensionality Reduction. Calcolo, 2020, 57(2).

（全部论文见：https://scholar.google.com/citations?user=n9xRWGsAAAAJ&hl=en&oi=ao）

学术服务

期刊审稿人：IEEE TPAMI/TNNLS/TCSVT, Machine Learning等

会议审稿人：ICML, NeurIPS, ICLR, AISTAT, SIGKDD, ECML, CVPR, ICCV, AAAI等

个人主页：http://lavieluo.github.io/