Currently, I am a Senior Researcher at Tencent. I am pursuing my Ph.D. degree at the NUS National University of Singapore (NUS), Department of Electrical and Computer Engineering (ECE), supervised by Prof. Robby T. Tan. I had my research internship in Adobe, mentored by Prof. Connelly Barnes.

Previously, I completed my M.Sc. degree at the NUS National University of Singapore (NUS); received my B.Eng. degree from the UESTC University of Electronic Science and Technology of China (UESTC).

My primary research interests include computer vision and deep learning, mainly focusing on image/video generation and enhancement.

📜 Research Area

AIGC (e.g., GAN, Diffusion, ControlNet, LoRA), Talking Face Generation
Enhancement and Restoration in Adverse Lighting and Weather Conditions
Image/Video Decomposition (e.g., Intrinsic Image Decomposition)
Deep Learning and its Applications (e.g., Medical Images)

📝 Publications

	NightHaze: Nighttime Image Dehazing via Self-Prior Learning Beibei Lin, Yeying Jin, Wending Yan, Wei Ye, Yuan Yuan, Robby T. Tan (Equal-first author) In review, 2024 arXiv \| bibtex
	SeD: Semantic-Aware Discriminator for Image Super-Resolution Bingchen Li, Xin Li, Hanxin Zhu, Yeying Jin, Ruoyu Feng, Zhizheng Zhang, Zhibo Chen Conference on Computer Vision and Pattern Recognition (CVPR), 2024, Seattle, USA arXiv \| \| bibtex
	DeS3: Adaptive Attention-driven Self and Soft Shadow Removal using ViT Similarity Yeying Jin, Yuan Yuan, Wenhan Yang, Wei Ye, Robby T. Tan Association for the Advancement of Artificial Intelligence (AAAI), 2024, Vancouver, Canada arXiv \| \| bibtex \| paper \| poster \| slides First diffusion-based shadow removal performs robustly on hard, soft and self shadows.
	NightRain: Nighttime Video Deraining via Adaptive-Rain-Removal and Adaptive-Correction Beibei Lin, Yeying Jin, Wending Yan, Wei Ye, Yuan Yuan, Sunli Zhang, Robby T. Tan Association for the Advancement of Artificial Intelligence (AAAI), 2024, Vancouver, Canada arXiv \| bibtex \| poster
	Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression Yeying Jin, Wenhan Yang, Robby T. Tan European Conference on Computer Vision (ECCV), 2022, Tel Aviv, Israel arXiv \| \| bibtex \| paper \| supp \| poster \| slides \| data \| link Night image enhancement by enhancing low-light regions and suppressing light-effects regions.
	DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Network Yeying Jin, Aashish Sharma, Robby T. Tan International Conference on Computer Vision (ICCV), 2021, Montreal, Canada arXiv \| \| bibtex \| paper \| supp \| poster \| slides First unsupervised hard and soft shadow removal.
	Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution Yeying Jin, Beibei Lin, Wending Yan, Wei Ye, Yuan Yuan, Robby T. Tan ACM Multimedia (ACM'MM), 2023, Ottawa, Canada arXiv \| \| bibtex \| paper \| poster \| slides \| data First learning-based network handling nighttime haze and glow using APSF.
	Estimating Reflectance Layer from A Single Image: Integrating Reflectance Guidance and Shadow/Specular Aware Learning Yeying Jin, Ruoteng Li, Wenhan Yang, Robby T. Tan Association for the Advancement of Artificial Intelligence (AAAI), 2023, Washington DC, USA arXiv \| \| bibtex \| paper \| poster \| slides First reflectance layer estimation that performs robustly even in the presence of shadows and specularities.
	Structure Representation Network and Uncertainty Feedback Learning for Dense Non-Uniform Fog Removal Yeying Jin, Wending Yan, Wenhan Yang, Robby T. Tan Asian Conference on Computer Vision (ACCV), 2022, Macau, China arXiv \| \| bibtex \| paper \| supp \| poster \| slides \| data Dense and/or non-uniform fog removal.

🏫 Educations

01.2020-01.2024: Ph.D. (Computer Vision and Deep Learning), NUS, Singapore (CAP: 4.75/5.00)
08.2017-08.2018: M.S. (Electrical and Computer Engineering), NUS, Singapore
09.2013-07.2017: B.Eng (Electrical and Computer Engineering), UESTC, China (GPA: 3.93/4.00)

👔 Internship and Work Experience

01.2024: Senior Researcher at Singapore, working on AIGC.
06.2023-09.2023: Adobe Research Intern, Creative Intelligence Lab, mentored by Connelly Barnes, worked with Yuqian Zhou, Lingzhi Zhang, Sohrab Amirghodsi, Eric Kee.
01.2019-01.2020: Machine Learning Researcher at Singapore, advised by Prof. Jiashi Feng, worked on Biomedical Image Synthesis, Super-resolution, Tumor Segmentation and Classification, expo demo for “Deep Learning-Based End-to-end Automatic Contouring and Automated Radiation Therapy Treatment Planning System”.

🎖 Honors and Awards

AI Singapore (AISG) Ph.D. Fellowship, Theme: Continuous Learning AI, Self-supervised Learning

💻 Academic Services

Reviewer: ECCV’24, IJCV’24, CVPR’24, TPAMI’23, AAAI’24, NeurIPS’23, ICCV’23, TIP’23, CVPR’23, AAAI’23, CVIU’23, TCSVT’23, TVCJ’23, NEUCOM’23, ACCV’22, ECCV’22, CVPR’22, IJCAI’22, IJCNN’21, etc.
Teaching Assistant: EE5731 Visual Computing, EE5904 Neural Network (NUS ECE)

💬 Invited Talks

Topic	Host	Date
Shadow Removal using Diffusion Model	AI TIME	01.2024
Visibility Enhancement using Generative Model	Huawei Shanghai HiSilicon	07.2023
NextCam Reading Group: Light-effects Suppression	Adobe, USA	07.2023
Image/Video Restoration and Generation	Huawei Shanghai HiSilicon	03.2023
Intrinsic Image Decomposition	AI TIME	02.2023
Diffusion Model in Image Processing	(invited by Hanshu Yan)	01.2023
Visibility Enhancement in Nighttime	Huawei, Singapore	12.2022
Unsupervised Image Restoration and Generation	AI TIME	11.2022
Poster	Venue	Date
Poster Present at Singapore Vision Day	NUS, Singapore	05.2023
Poster Present at AI Research Symposium	AISG, Singapore	01.2023

	NightHaze: Nighttime Image Dehazing via Self-Prior Learning Beibei Lin, Yeying Jin, Wending Yan, Wei Ye, Yuan Yuan, Robby T. Tan (Equal-first author) In review, 2024 arXiv \| bibtex
	SeD: Semantic-Aware Discriminator for Image Super-Resolution Bingchen Li, Xin Li, Hanxin Zhu, Yeying Jin, Ruoyu Feng, Zhizheng Zhang, Zhibo Chen Conference on Computer Vision and Pattern Recognition (CVPR), 2024, Seattle, USA arXiv \| \| bibtex
	DeS3: Adaptive Attention-driven Self and Soft Shadow Removal using ViT Similarity Yeying Jin, Yuan Yuan, Wenhan Yang, Wei Ye, Robby T. Tan Association for the Advancement of Artificial Intelligence (AAAI), 2024, Vancouver, Canada arXiv \| \| bibtex \| paper \| poster \| slides First diffusion-based shadow removal performs robustly on hard, soft and self shadows.
	NightRain: Nighttime Video Deraining via Adaptive-Rain-Removal and Adaptive-Correction Beibei Lin, Yeying Jin, Wending Yan, Wei Ye, Yuan Yuan, Sunli Zhang, Robby T. Tan Association for the Advancement of Artificial Intelligence (AAAI), 2024, Vancouver, Canada arXiv \| bibtex \| poster
	Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression Yeying Jin, Wenhan Yang, Robby T. Tan European Conference on Computer Vision (ECCV), 2022, Tel Aviv, Israel arXiv \| \| bibtex \| paper \| supp \| poster \| slides \| data \| link Night image enhancement by enhancing low-light regions and suppressing light-effects regions.
	DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Network Yeying Jin, Aashish Sharma, Robby T. Tan International Conference on Computer Vision (ICCV), 2021, Montreal, Canada arXiv \| \| bibtex \| paper \| supp \| poster \| slides First unsupervised hard and soft shadow removal.
	Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution Yeying Jin, Beibei Lin, Wending Yan, Wei Ye, Yuan Yuan, Robby T. Tan ACM Multimedia (ACM'MM), 2023, Ottawa, Canada arXiv \| \| bibtex \| paper \| poster \| slides \| data First learning-based network handling nighttime haze and glow using APSF.
	Estimating Reflectance Layer from A Single Image: Integrating Reflectance Guidance and Shadow/Specular Aware Learning Yeying Jin, Ruoteng Li, Wenhan Yang, Robby T. Tan Association for the Advancement of Artificial Intelligence (AAAI), 2023, Washington DC, USA arXiv \| \| bibtex \| paper \| poster \| slides First reflectance layer estimation that performs robustly even in the presence of shadows and specularities.
	Structure Representation Network and Uncertainty Feedback Learning for Dense Non-Uniform Fog Removal Yeying Jin, Wending Yan, Wenhan Yang, Robby T. Tan Asian Conference on Computer Vision (ACCV), 2022, Macau, China arXiv \| \| bibtex \| paper \| supp \| poster \| slides \| data Dense and/or non-uniform fog removal.

Jin Yeying