1.机器学习：多模态/多视角聚类、弱监督及自监督学习、图机器学习

2.图像增强：低光照图像增强、水下图像增强

1.国家自然科学基金 面上项目，2024～2027

2.国家自然科学基金 青年科学基金项目，2021～2023

3.广东省自然科学基金 面上项目，2024～2026

《现代程序设计》

[1] Sicong Kang, Shuaibo Gao, Wenhui Wu (通信作者), Xu Wang, Shuoyao Wang, Guoping Qiu, Image Intrinsic Components Guided Conditional Diffusion Model for Low-light Image Enhancement, IEEE Transactions on Circuits and Systems for Video Technology, 2024. (中科院1区，CCF-B期刊)

[2] Ran Wang, Haopeng Ke, Meng Hu, Wenhui Wu (通信作者), Adversarially Robust Neural Networks with Feature Uncertainty Learning and Label Embedding, Neural Networks,172: 106087, 2024. (中科院1区，CCF-B期刊)

[3] Hua Li, Junyan Liang, Wenjie Li, Wenhui Wu (通信作者), FSNet: Frequency Domain Guided Superpixel Segmentation Network for Complex Scenes, Proceedings of the 31st ACM International Conference on Multimedia, pp. 4129-4137, 2023. (CCF-A会议)

[4] Wenhui Wu, Junhui Hou, Shiqi Wang, Sam Kwong, Yu Zhou, Semi-supervised Adaptive Kernel Concept Factorization, Pattern Recognition, 134: 109114, 2023. (中科院2区, CCF-B期刊)

[5] Shuaibo Gao, Wenhui Wu (通讯作者), Hua Li, Linwei Zhu, Xu Wang, Atmospheric Scattering Model Induced Statistical Characteristics Estimation for Underwater Image Restoration, IEEE Signal Processing Letters, vol. 30, pp. 658-662, 2023. (中科院2区)

[6] Wenhui Wu, Yujie Chen, Ran Wang, Le Ou-Yang, Self-representative kernel concept factorization, Knowledge-Based Systems, 259: 110051, 2023. (中科院1区)

[7] Wenhui Wu, Jian Weng, Pingping Zhang, Xu Wang, Wenhan Yang, Jianmin Jiang, URetinex-Net: Retinex-based Deep Unfolding Network for Low-light Image Enhancement, IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2022. (CCF-A 会议)

[8] Wenhui Wu, Yuheng Jia, Shiqi Wang, Ran Wang, Hongfei Fan, Sam Kwong,  Positive and Negative Label-Driven Nonnegative Matrix Factorization, IEEE Transactions on Circuits and Systems for Video Technology, vol. 31, pp. 2698-2710, 2021. (中科院1区，CCF-B期刊)

[9] Wenhui Wu, Sam Kwong, Junhui Hou, Yuheng Jia, Horace Ho Shing Ip,  Simultaneous Dimensionality Reduction and Classification via Dual Embedding Regularized Nonnegative Matrix Factorization, IEEE Transactions on Image Processing,vol. 28, pp. 3836-3847, 2019. (中科院1区， CCF-A期刊)

[10] Wenhui Wu, Yuheng Jia, Sam Kwong, Junhui Hou, Pairwise Constraint Propagation-induced Symmetric Nonnegative Matrix Factorization, IEEE Transactions on Neural Networks and Learning Systems, vol. 29, pp. 6348-6361, 2019. (中科院1区，CCF-B期刊)

学术型博士生：信息与通信工程

学术型硕士生：信息与通信工程

专业型硕士生：新一代电子信息技术

招生要求：高数/线代/概率论等数学课程基础扎实，精通至少一门编程语言(Python，C/C++，Matlab)，有较好的英语读写能力，以科研兴趣为导向且积极主动，有强烈意愿和导师共同努力。

欢迎对我的研究方向有相关基础或感兴趣的学生报考，咨询。