个人简述：

广东工业大学信息工程学院副教授，硕导、博导，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多个项目。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。

学科领域：

科学学位：信息与通信工程

专业学位：电子与通信工程

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

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）

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，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，2023-2025；

部分代表作：

[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, Haoyu Zhong, Zhijing Yang, Xiaojun Yang, Liang Lin, DDet: Dual-path Dynamic Enhancement Network for Real-world Image Super-resolution, IEEE Signal Processing Letters (SPL), 2020.

[26] 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；

其他信息：

隶属于“人工智能研发团队”

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。