个人简介

王修珩，华南理工大学未来技术学院副教授，博导。博士毕业于法国蔚蓝海岸大学，曾在法国国家科学研究中心从事研究工作。研究领域包括人工智能和信号处理的理论和算法基础，特别关注深度生成模型，变点检测，（流形）优化，及其在高光谱成像，分布式声学传感等问题上的应用。参与法国国家科研署项目2项，广东省科技创新战略专项项目（国际科技合作）1项。已经发表论文20余篇，其中ICML, IEEE TSP, TCSVT, TGRS等国际顶级期刊和会议论文10余篇。担任NeurIPS, IEEE TIP, JSTSP, TAC等多个期刊、会议审稿人。详细信息请访问：https://xiuheng-wang.github.io/

联系邮箱：xiuhengwang@scut.edu.cn

教育背景

2021-2024年，法国蔚蓝海岸大学，博士

2018-2021年，西北工业大学，硕士

2014-2018年，西北工业大学，学士     

工作经历

2026-至今，华南理工大学，副教授

2024-2026年，法国国家科学研究中心，博士后

标志性成果

[1] X. Wang, R. Borsoi, C. Richard, A. H. Sayed, “Distributed Riemannian Optimization in Geodesically Non-convex Environments”, IEEE Transactions on Signal Processing (TSP), 2026.

[2] X. Wang, X. Wang (corr. author), Y. Zhang, S. A. Vorobyov, E. Ollila, Z.-Y. Wang, “Finer Parameter Steps for Low-Rank PEFT: A Controlled Study with CP Tensor Adapters”, International Conference on Machine Learning (ICML) Workshop on CoLoRAI, Seoul, Korea, 2026.

[3] X. Wang, R. Borsoi, C. Richard, A. H. Sayed, “Riemannian Diffusion Adaptation for Distributed Optimization on Manifolds”, International Conference on Machine Learning (ICML), Vancouver, Canada, 2025.

[4] X. Wang, R. Borsoi, C. Richard, “Non-Parametric Online Change Point Detection on Riemannian Manifolds”, International Conference on Machine Learning (ICML), Vienna, Austria, 2024.

[5] X. Wang, R. Borsoi, J. Chen, C. Richard, “Deep Hyperspectral and Multispectral Image Fusion with Inter-Image Variability”, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023.

[6] X. Wang, J. Chen, C. Richard, “Tuning-Free Plug-and-Play Hyperspectral Image Deconvolution with Deep Priors”, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023.

[7] J. Chen, M. Zhao, X. Wang, C. Richard, S. Rahardja, “Integration of Physics-Based and Data-Driven Models for Hyperspectral Image Unmixing”, IEEE Signal Processing Magazine (SPM), 2023.

[8] X. Wang, J. Chen, Q. Wei, C. Richard, “Hyperspectral Image Super-Resolution via Deep Prior Regularization with Parameter Estimation”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021.

[9] M. Zhao∗, X. Wang∗ (equivalent contribution), J. Chen, W. Chen, “A Plug-and-Play Priors Framework for Hyperspectral Unmixing”, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021.