Lecturer 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 student 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.

His current research interests are mainly focus on data mining, computer vision and machina learning. He serves as a Reviewer for a number of journals and conferences, such as IJCV, IEEE T-PAMI, T-NNLS, T-IP, T-MM, T-CSVT, CVPR, ICCV, ECCV, AAAI, etc.

Research Topic

• AI Generated Content (AIGC): Diffusion Model for Fantasy Generation.
  

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

• Computer Vision and Pattern Recognition: Low-light Enhancement, Video Super-Resolution, etc.
  

Publications

(* indicates supervised students)

• 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]

The quality, quantity, and diversity of the infrared data paly an fancy role in SIRST, click to check our SIRST-5K.

• 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]

A effective data augmentation framework for real-world video super-resolution, click to check our 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]

• 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]

• MirrorDiffusion: Stabilizing Diffusion Process in Zero-shot Image Translation by Prompts Redescription and Beyond
  Yupei Lin* , Xiaoyu Xian, Yukai Shi, Liang Lin
  IEEE Signal Processing Letters (SPL), 2024. [PDF] [Project Page] [Code]

• 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]

• Scale-Aware Squeeze-and-Excitation for Lightweight Object Detection
  Zhihua Xu, Xiaobin Hong, Tianshui Chen, Zhijing Yang, Yukai Shi
  IEEE Robotics and Automation Letters (RA-L), 2022. [PDF] [Code]

• 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]

• DFAEN: Double-Order Knowledge Fusion and Attentional Encoding Network for Texture Recognition
  Zhijing Yang, Shujian Lai, Xiaobin Hong, Yukai Shi, Yongqiang Cheng, Chunmei Qing
  Expert Systems with Applications (ESWA), 2022. [PDF]

• 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]

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

• 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]

• Difficulty-aware Image Super Resolution via Deep Adaptive Dual-Network
  Jinghui Qin*, Ziwei Xie, Yukai Shi, Wushao Wen
  IEEE International Conference on Multimedia and Expo (ICME), Oral, 2019. [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]

• Attention-aware Face Hallucination via Deep Reinforcement Learning
  Qingxing Cao, Liang Lin, Yukai Shi, Xiaodan Liang, Guanbin Li
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [PDF][Code]

• Local- and Holistic-structure Preserving Image Super Resolution via Deep Joint Component Learning
  Yukai Shi, Keze Wang, Li Xu, Liang Lin
  IEEE Conference on Multimedia and Expo (ICME), Oral, 2016. [PDF][Code]

Awards

• 2020-2021, Challenger, Honor of Kings
  

• 2016-2017, Excellent Graduate Scholarship, Sun Yat-sen University