广东工业大学信息工程学院副教授，博士生导师，IEEE Member。长期从事多媒体内容生成、跨模态感知、超分辨等方向的研究。曾在微软亚洲研究院（MSRA）、悉尼大学、香港中文大学（mmlab）访问。在IEEE T-PAMI, T-MM, T-CSVT, CVPR, AAAI等前沿期刊与会议发表论文50余篇。根据谷歌学术统计，总被引1400次。主持国自然青年基金、国防创新特区基金等项目。荣获广东省科技进步一等奖、中国图象图形学会科技进步二等奖、华为云与计算先锋教师等荣誉。相关成果被应用于中车研究院、南方电网等单位。欢迎对计算机视觉，深度学习等方向感兴趣的同学报考。

教育背景：

2016年9月-2019年7月，中山大学，获博士学位

2014年9月-2016年7月，中山大学，获硕士学位

2010年9月-2014年7月，黑龙江大学，获学士学位

主要荣誉：

中国图象图形学会科技进步二等奖，2025；

广东省科技进步一等奖（第三完成人），2024；

广东省工业软件科学技术一等奖，2024；

华为云与计算先锋教师，2021；

广东工业大学年度教学优秀奖，23、24、25；

访问经历：

09/2019-至今，广东工业大学

09/2018-03/2019 访问学者，悉尼大学

12/2016-08/2017 访问学者，商汤科技

07/2016-11/2016 访问学者, 微软亚洲研究院

09/2015-01/2016 访问学者，香港中文大学（mmlab）

代表作：

1. Junyao Li, Yahao Lu, Xingyuan Guo, Xiaoyu Xian, Tiantian Wang, Yukai Shi*, Exploiting Gaussian Agnostic Representation Learning with Diffusion Priors for Enhanced Infrared Small Target Detection, Neural Networks (NN), 2026. 

2. Zhongzheng Peng, Qiyan Zhang, Yukai Shi, Xiaoyu Xian, Jinhui Tang, and Jinshan Pan, Memory-based Local and Non-Local Feature Propagation for Video Colorization, IEEE Transactions on Multimedia (T-MM), 2026.

3. Yahao Lu, Yuehui Li, Xingyuan Guo, Shuai Yuan, Yukai Shi*, Liang Lin, Rethinking Generalizable Infrared Small Target Detection: A Real-scene Benchmark and Cross-view Representation Learning, IEEE Transactions on Geoscience and Remote Sensing (T-GRS), 2025. 

4. Qi Zhou , Yukai Shi, Xiaojun Yang, Xiaoyu Xian, Lunjia Liao, Ruimao Zhang, Liang Lin, DFVO: Learning Darkness-free Visible and Infrared Image Disentanglement and Fusion All at Once, IEEE Transactions on Instrumentation and Measurement (T-IM), 2025. 

5. Chaoqun Wang, Yiran Qin, Zijian Kang, Ningning Ma, Yukai Shi, Zhen Li, Ruimao Zhang, Boosting 3D Object Detection via Self-distilling Introspective Data, IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2025. 

6. Tianshui Chen, Jianman Lin, Zhijing Yang, Chumei Qing, Yukai Shi, Liang Lin, Contrastive Decoupled Representation Learning and Regularization for Speech-Preserving Facial Expression Manipulation, International Journal of Computer Vision (IJCV), 2025.

7. Yexing Song, Meilin Wang, Zhijing Yang, Xiaoyu Xian, Yukai Shi*, NegVSR: Augmenting Negatives for Generalized Noise Modeling in Real-world Video Super-Resolution, Proc. of AAAI Conference on Artificial Intelligence (AAAI), 2024. 

8. Xiao Wang, Wentao Wu, Chenglong Li, Zhicheng Zhao, Zhe Chen, Yukai Shi, Jin Tang, Structural Information Guided Multimodal Pre-training for Vehicle-centric Perception, Proc. of AAAI Conference on Artificial Intelligence (AAAI), 2024. 

9. Cidan Shi, Lihuang Fang, Han Wu, Xiaoyu Xian, Yukai Shi*, Liang Lin, NiteDR: Nighttime Image De-Raining with Cross-View Sensor Cooperative Learning for Dynamic Driving Scenes, IEEE Transactions on Multimedia (T-MM), 2024. 

10. Xiaoyu Xian, Qi Zhou, Jinghui Qin, Xiaojun Yang, Yin Tian, Yukai Shi, Daxin Tian, CROSE: Low-light Enhancement by CROss-SEnsor Interaction for Nighttime Driving Scenes, Expert Systems with Applications (ESWA), 2024. 

11. Yahao Lu, Yupei Lin, Han Wu, Xiaoyu Xian, Yukai Shi*, Liang Lin, SIRST-5K: Exploring Massive Negatives Synthesis with Self-supervised Learning for Robust Infrared Small Target Detection, IEEE Transactions on Geoscience and Remote Sensing (T-GRS), 2024. 

12. Meilin Wang, Yexing Song , Pengxu Wei, Xiaoyu Xian, Yukai Shi*, Liang Lin, IDF-CR: Iterative Diffusion Process for Divide-and-Conquer Cloud Removal in Remote-sensing Images, IEEE Transactions on Geoscience and Remote Sensing (T-GRS), 2024.

13. Zhijing Yang, Junyang Chen , Yukai Shi*, Hao Li, Tianshui Chen, Liang Lin, OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided Mixup, IEEE Transactions on Multimedia (T-MM), 2023.

14. Xiaojun Yang, Junhong Gong, Lianpei Wu, Zhijing Yang, Yukai Shi*, Feiping Nie, Reference-free Low-light Image Enhancement by Associating Hierarchical Wavelet Representations, Expert Systems with Applications (ESWA), 2023.

15. Hao Li, Zhijing Yang, Xiaobin Hong, Ziying Zhao, Junyang Chen, Yukai Shi, Jinshan Pan, DnSwin: Toward Real-World Denoising via Continuous Wavelet Sliding-Transformer, Knowledge-Based Systems (KBS), 2022. 

16. Hao Li, Jinghui Qin, Zhijing Yang, Pengxu Wei, Jinshan Pan, Liang Lin, Yukai Shi*, Real-World Image Super-Resolution by Exclusionary Dual-Learning, IEEE Transactions on Multimedia (T-MM), 2022. 

17. Yupei Lin, Sen Zhang, Tianshui Chen, Yongyi Lu, Guangping Li, Yukai Shi*, Exploring Negatives in Contrastive Learning for Unpaired Image-to-Image Translation, ACM International Conference on Multimedia (ACM MM), 2022.

18. Junpeng Tang, Yukai Shi*, Zhijing Yang, Caizhen Wen, Liang Lin, Unsupervised Multi-view Clustering by Squeezing Hybrid Knowledge from Cross View and Each View, IEEE Transactions on Multimedia (T-MM), 2020. 

19. Yukai Shi, Cidan Shi, Zhipeng Weng, Yin Tian, Xiaoyu Xian, Liang Lin, CrossFuse: Learning Infrared and Visible Image Fusion by Cross-Sensor Top-K Vision Alignment and Beyond, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2025.

20. Yukai Shi, Zhipeng Weng, Yupei Lin, Cidan Shi, Xiaojun Yang, Liang Lin, Scaling Up Single Image Dehazing Algorithm by Cross-Data Vision Alignment for Richer Representation Learning and Beyond, IEEE Transactions on Instrumentation and Measurement (T-IM), 2025. 

21. Yukai Shi, Yupei Lin, Pengxu Wei, Xiaoyu Xian, Tianshui Chen, Liang Lin, Diff-Mosaic: Augmenting Realistic Representations in Infrared Small Target Detection via Diffusion Prior, IEEE Transactions on Geoscience and Remote Sensing (T-GRS), 2024. 

22. Yukai Shi, Hao Li, Sen Zhang, Zhijing Yang, Xiao Wang, Criteria Comparative Learning for Real-scene Image Super-Resolution, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2022. 

23. Yukai Shi, Guanbin Li, Qingxing Cao, Keze Wang, Liang Lin, Face Hallucination by Attentive Sequence Optimization with Reinforcement Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2020. (人工智能顶刊, IF=20.8)

24. Yukai Shi, Sen Zhang, Chenxing Zhou, Xiaodan Liang, Xiaojun Yang, Liang Lin, GTAE: Graph Transformer–Based Auto-Encoders for Linguistic-Constrained Text Style Transfer，ACM Transactions on Intelligent Systems and Technology (ACM T-IST), 2021.

25. Yukai Shi, Keze Wang, Chongyu Chen, Li Xu, Liang Lin, Structure-preserving Image Super-resolution via Contextualized Multitask Learning, IEEE Transactions on Multimedia (T-MM), 2017. 

科研项目：

1、 国家自然基金青年项目， 2021.01-2023.12，主持；

教学活动：《Python程序设计》《Python科学计算基础》《Python实训：腾讯新闻爬取》《综合设计IV》《信号检测与估值》等课程。