Associate Professor School of Information Engineering Guangdong University of Technology Higher Education Mega Center Guangzhou 510006, China Email: ykshi.1991 [at] foxmail [dot] com [Google Scholar] [GitHub] [ORCiD]

Biography

Currently Dr. SHI is a teacher at Guangdong University of Technology (GDUT). Before that, he graduated from Sun Yat-Sen University with a PhD degree, supervised by Prof. [Liang Lin (林倞教授)]. He was a visiting researcher in the University of Sydney and Microsoft Research Asia, worked with Prof. [Wanli Ouyang (欧阳万里教授)] and Dr. [Jingdong Wang (王井东研究员)], respectively. He serves as a Reviewer for a number of journals and conferences, such as IJCV, IEEE T-PAMI, CVPR, ICCV, etc.

Recently, almost all of my students have published top-tier conference/journal papers. All students in our group are talented, self-motivated and reliable. They own the most credit of following works which I was glad to work with.

Never stop looking for collaboration, please feel free to contact me via email. (any question/suggestion/collaboration)

Research Topic

• AI Generated Content (AIGC): Diffusion Model for Fantasy Generation, Vision Alignment and Augmentation.
  

• Multimodality Sensing: Cross-sensor Cooperative Sensing, Vision-Thermal Recognition, etc.
  

• Computer Vision and Pattern Recognition: Cross-data Vision Alignment, Data-centric Visual Learning, etc.
  

Selected Publications

(* indicates supervised students) [Full Paper List]

• Cross-Scenario Deraining Adaptation with Unpaired Data: Superpixel Structural Priors and Multi-Stage Pseudo-Rain Synthesis
  Kangbo Zhao*, Miaoxin Guan, Xiang Chen, Yukai Shi, Jinshan Pan
  IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2026, Major Revision. [PDF] [Code]

• Ivan-ISTD: Rethinking Cross-domain Heteroscedastic Noise Perturbations in Infrared Small Target Detection
  Yuehui Li* , Yahao Lu, Haoyuan Wu, Sen Zhang, Liang Lin,Yukai Shi
  IEEE Transactions on Geoscience and Remote Sensing (T-GRS), 2026. [PDF] [Code]

• One-shot Face Sketch Synthesis in the Wild via Generative Diffusion Prior and Instruction Tuning
  Han Wu* , Junyao Li, Kangbo Zhao, Sen Zhang, Yukai Shi, Liang Lin
  ACM Transactions on Multimedia Computing, Communications and Applications (TOMM), 2026. [PDF] [Code]

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

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

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

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

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

• Scaling Up Single Image Dehazing Algorithm by Cross-Data Vision Alignment and Beyond
  Yukai Shi, Zhipeng Weng* , Yupei Lin, Cidan Shi, Xingyuan Guo, Xiaojun Yang, Liang Lin
  IEEE Transactions on Instrumentation and Measurement (T-IM), 2025. [PDF] [Code]

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

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

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

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

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

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

• Self-supervised emotion representation disentanglement for speech-preserving facial expression manipulation
  Zhihua Xu, Tianshui Chen, Zhijing Yang, Chunmei Qing, Yukai Shi, Liang Lin
  ACM International Conference on Multimedia (ACM MM), 2025. [PDF]

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

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

• Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels
  Tianshui Chen, Tao Pu, Lingbo Liu, Yukai Shi, Zhijing Yang, Liang Lin
  International Journal of Computer Vision (IJCV), 2024. [PDF] [Code][Media Report]

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

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

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

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

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

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

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

• Unsupervised Multi-view Clustering by Squeezing Hybrid Knowledge from Cross View and Each View
  Junpeng Tan*, Yukai Shi, Zhijing Yang, Caizhen Wen, Liang Lin
  IEEE Transactions on Multimedia (T-MM), 2021. [PDF]

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

• Face Hallucination by Attentive Sequence Optimization with Reinforcement Learning
  Yukai Shi, Guanbin Li, Qingxing Cao, Keze Wang, Liang Lin
  IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2020. [PDF][Code]

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

Students' Achievements

• [2025] National Scholarship (+3): Yahao Lu, Yuehui Li and Zhipeng Weng, congrats!
  

• [2024] National Scholarship (+3): Yupei Lin, Cidan Shi and Yexing Song
  

• [2023] National Scholarship: Junyang Chen.
  

Alumni

* This is a partial list.

Photo	Name & Thesis	Current Position
	Yupei Lin 2025 Controlled Content Generation	Ph.D@SYSU
	Yexing Song 2025 Video Super-Resolution	Tencent
	Cidan Shi 2025 Image De-Raining & Fusion	Guangri Co., LTD.
	Junyang Chen 2024 Virtual Try-on	Ph.D@NJUST
	Lihuang Fang 2024 Hyperspectral Fusion	Master@SUSTech
	Junhong Gong 2024 Low-light Enhancement	Digital Guangdong Co., LTD.
	Haoyu Zhong 2023 Image Super-Resolution	Xiaomi
	Hao Li 2023 Real-world Image Processing	Research Fellow@SYSU