I am a Staff Researcher at Tencent. I earned my PhD degree from 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 and Prof. Eli Shechtman. Previously, I completed my M.Sc. degree at the National University of Singapore (NUS); received my B.Eng. degree from the University of Electronic Science and Technology of China (UESTC).

I have published papers with at top international venues. 📢 I’m hiring self-motivated interns and full-time researchers.

📜 Research

1. Video World Model
2. Agentic VLM, Agentic Video Generation
3. AIGC: Generation & Vision
4. Multimodal Learning & VLMs

🔬 Projects

	ReactiveGWM: Steering NPC in Reactive Game World Models Yeying Jin†‡ et al. Game World Model • 2026 Links: Project Page
	SCOPE: Scalable World Model via Consistent Prediction Yeying Jin†‡ et al. Game World Model • 2026 Links: Project Page
	AI Photobooth AI Photobooth • 2025.12 370+ Generated AI Images in 1 hour · Top 3 Popular 6 Heroes · 2 Styles · 3 Games Demo: Online Generation Video (CN) Video (EN)
	Honor of Kings (HOK) AIUGC Detective & Esports Poster HOK Flowborn Dimensional Editor • 2025.08–Present Millions+ Generated AI Posters, Camp First Page Battle Loading, In-Game Hero, In-Game Popup One-Click Sharing on HOK Camp, X, Instagram, Facebook Demo: Online Generation Video (CN) Video (EN)
	Honor of Kings (HOK) AIUGC Portrait Poster HOK Flowborn Dimensional Editor • 2025.06–Present Millions+ Generated AI Posters Thousands+ Overseas & Domestic Mentions 80% In-Game Display · 99% Positive/Neutral Sentiment Demo: Online Generation Video (CN) Video (EN)
	Honor of Kings (HOK) AIUGC Online Hero Generation HOK Creator Studio • 2024.12–Present Tens of Thousands+ Generated AI Images · 22% Save Rate Tens of Thousands+ UV · Tens of Thousands+ Active Users 98 Heroes · 12 Styles · 13S Generation Time Demo: Online Generation Video (CN) Video (EN)
	Honor of Kings (HOK) AIPGC Avatars/Stickers HOK Avatar Center • 2024.07–Present 12× Launch ·98 Heroes · 2 Styles · 2 Halloween Topics Over Half a Million+ Exposure, Tens of K+ Engagement Available on HOK Camp, VK, X, Instagram, Facebook, WhatsApp, Discord, Sticker Demo: Avatar Center Video (CN) Video (EN)

📝 Publications

	Unpaired Image Deraining Using Reward-Guided Self-Reinforcement Strategy Yinghao Chen, Yeying Jin†‡, Xiang Chen, Yanyan Wei†, Ziyang Yan, Yaowei Fu IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2026, Denver, USA arXiv
	CT-1: Vision-Language-Camera Models Transfer Spatial Reasoning Knowledge to Camera-controllable Video Generation Haoyu Zhao, Zihao Zhang, Jiaxi Gu, Haoran Chen, Qingping Zheng, Pin Tang, Yeying Jin, Yuang Zhang, Junqi Cheng, Zenghui Lu, Peng Shu, Zuxuan Wu, Yu-Gang Jiang arXiv preprint, 2026 arXiv / code
	InstanceAnimator: Multi-Instance Sketch Video Colorization Yinhan Zhang*, Yue Ma*, Bingyuan Wang, Kunyu Feng, Yeying Jin, Qifeng Chen, Anyi Rao, Zeyu Wang arXiv preprint, 2026 arXiv / code
	Z-Erase: Enabling Concept Erasure in Single-Stream Diffusion Transformers Nanxiang Jiang, Zhaoxin Fan, Baisen Wang, Daiheng Gao, Junhang Cheng, Jifeng Guo, Yalan Qin, Yeying Jin, Hongwei Zheng, Faguo Wu, Wenjun Wu International Conference on Machine Learning (ICML), 2026, Seoul, South Korea arXiv / code
	UniFit: Towards Universal Virtual Try-on with MLLM-Guided Semantic Alignment Wei Zhang*, Yeying Jin*, Xin Li, Yan Zhang, Xiaofeng Cong, Cong Wang, Fengcai Qiao, Zhichao Lian Association for the Advancement of Artificial Intelligence (AAAI), 2026, Singapore arXiv | | bibtex
	MMGT: Motion Mask Guided Two-Stage Network for Co-Speech Gesture Video Generation Siyuan Wang, Jiawei Liu, Wei Wang, Yeying Jin, Jinsong Du, Zhi Han IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025 arXiv | | bibtex
	PosterCraft: Rethinking High-Quality Aesthetic Poster Generation in a Unified Framework Sixiang Chen*, Jianyu Lai*, Jialin Gao*, Tian Ye, Haoyu Chen, Hengyu Shi, Shitong Shao, Yunlong Lin, Song Fei, Zhaohu Xing, Yeying Jin, Junfeng Luo, Xiaoming Wei, Lei Zhu The International Conference on Learning Representations (ICLR), 2026, Rio, Brazil arXiv | | bibtex | project page | online demo | video | link
	DSDNet: Raw Domain Demoiréing via Dual Color-Space Synergy Qirui Yang, Fangpu Zhang, Yeying Jin, Qihua Cheng, Pengtao Jiang, Huanjing Yue, Jingyu Yang ACM Multimedia (ACM'MM), 2025, Dublin, Ireland arXiv | bibtex | demo
	Unveiling Hidden Vulnerabilities in Digital Human Generation via Adversarial Attacks Zhiying Li*, Yeying Jin*, Fan Shen, Zhi Liu, Weibin Chen, Pengju Zhang, Xiaomei Zhang, Boyu Chen, Michael Shen, Kejian Wu, Zhaoxin Fan, Jin Dong Pattern Recognition (PR), 2025 arXiv | bibtex | link
	GenHaze: Pioneering Controllable One-Step Realistic Haze Generation for Real-World Dehazing Sixiang Chen, Tian Ye, Yunlong Lin, Yeying Jin, Yijun Yang, Haoyu Chen, Jianyu Lai, Song Fei, Zhaohu Xing, Fugee Tsung, Lei Zhu International Conference on Computer Vision (ICCV), 2025, Hawaii, USA arXiv | bibtex
	JarvisIR: Elevating Autonomous Driving Perception with Intelligent Image Restoration Yunlong Lin*, Zixu Lin*, Haoyu Chen*, Panwang Pan*, Chenxin Li, Sixiang Chen, Kairun Wen, Yeying Jin, Wenbo Li, Xinghao Ding Computer Vision and Pattern Recognition (CVPR), 2025, Nashville, USA arXiv | | bibtex | project page | online demo | link
	LoViF 2026: The First Challenge on Weather Removal in Videos Chenghao Qian, Xin Li, Yeying Jin†, Shangguan Sun, Yilian Zhong, etc. (Organizer & Corresponding Author) Computer Vision and Pattern Recognition (CVPR), 2026, Denver, USA arXiv
	NTIRE 2026 The Second Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results Xin Li, Yeying Jin†, Suhang Yao, etc. (Organizer & Corresponding Author) Computer Vision and Pattern Recognition (CVPR), 2026, Denver, USA arXiv | | competition | challenge
	NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-focused Images: Methods and Results Xin Li, Yeying Jin†, Xin Jin, etc. (Organizer & Corresponding Author) Computer Vision and Pattern Recognition (CVPR), 2025, Nashville, USA arXiv | | bibtex | slides | video | competition | challenge
	Raindrop Clarity: A Dual-Focused Dataset for Day and Night Raindrop Removal Yeying Jin, Xin Li, Jiadong Wang, Yan Zhang, Malu Zhang European Conference on Computer Vision (ECCV), 2024, Milan, Italy arXiv | | bibtex | poster | slides | video | competition | challenge
	HSCR: Hierarchical Self-Contrastive Rewarding for Aligning Medical Vision Language Models Songtao Jiang, Yan Zhang, Yeying Jin, Zhihang Tang, Yangyang Wu, Yang Feng, Jian Wu, Zuozhu Liu Association for Computational Linguistics (ACL), 2025, Vienna, Austria arXiv | bibtex
	Fast or Slow? Integrating Fast Intuition and Deliberate Thinking for Enhancing Visual Question Answering Songtao Jiang, Chenyi Zhou, Yan Zhang, Yeying Jin, Zuozhu Liu Association for Computational Linguistics (ACL), 2025, Vienna, Austria arXiv | bibtex
	Modality-Fair Preference Optimization for Trustworthy MLLM Alignment Songtao Jiang, Yan Zhang, Ruizhe Chen, Yeying Jin, Zuozhu Liu International Joint Conference on Artificial Intelligence (IJCAI), 2025, Montreal, Canada arXiv | bibtex
	Joint Visual and Text Prompting for Improved Object-Centric Perception with Multimodal Large Language Models Songtao Jiang, Yan Zhang, Chenyi Zhou, Yeying Jin, Yang Feng, Jian Wu, Zuozhu Liu ADHIP Best Paper Award, 2024, Jiaxing, China arXiv | | bibtex
	Med-MoE: Mixture of Domain-Specific Experts for Lightweight Medical Vision-Language Models Songtao Jiang, Tuo Zheng, Yan Zhang, Yeying Jin, Li Yuan, Zuozhu Liu EMNLP finding, 2024, Miami, Florida arXiv | | bibtex
	Dual-Rain: Video Rain Removal using Assertive and Gentle Teachers Tingting Chen*, Beibei Lin*, Yeying Jin*, Wending Yan, Wei Ye, Yuan Yuan, Robby T. Tan European Conference on Computer Vision (ECCV), 2024, Milan, Italy paper | bibtex
	UCIP: A Universal Framework for Compressed Image Super-Resolution using Dynamic Prompt Xin Li, Bingchen Li, Yeying Jin, Cuiling Lan, Hanxin Zhu, Yulin Ren, Zhibo Chen European Conference on Computer Vision (ECCV), 2024, Milan, Italy arXiv | | bibtex
	NightHaze: Nighttime Image Dehazing via Self-Prior Learning Beibei Lin*, Yeying Jin*, Wending Yan, Wei Ye, Yuan Yuan, Robby T. Tan Association for the Advancement of Artificial Intelligence (AAAI), 2025, Philadelphia, USA arXiv | | bibtex | project page
	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, Wei Ye, Wenhan Yang, Yuan Yuan, 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 | video | data | link | online demo 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 | video 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.

💬 Organizer

🎤 Invited Talks

Host	Topic	Date & Venue
CVPR URVIS (invited by Zongwei Wu)	World Model	06.04.2026@4AB Denver, USA
CVPR AIGENS (invited by Marcos V. Conde)	Game World Model for Video Generation	06.03.2026@105 Denver, USA
SPARK Share	From Video Generation to World Model	05.22.2026 Singapore
Singapore Vision Day (invited by Gim Hee Lee)	Game World Model World Model Panel Discussion	05.16.2026 Singapore
ICLR Booth Talk Game Session Talk	From AIGC to World Model	04.25.2026 Rio, Brazil
NUS EE6934 Emerging Topics in AI and Deep Learning Guest Lecture (invited by Xinchao Wang)	From AIGC to World Model	03.17.2026 Singapore
AAAI (invited by Xin Li)	From Creation to Perception: Generative AI for Content Generation	01.2026 Singapore
Low-level Community (invited by Xiang Chen)	AIGC-Powered Game Marketing: From Generation to Deployment	01.2026 Singapore
ICCV AIGENS (invited by Marcos V. Conde)	From Creation to Perception: Generative AI for Content Generation	10.2025 Hawaii, USA
Programmers Video	Exploring SORA: Unlocking the Core of AI Video Creation [Video]	11.2025 Singapore
	AI Video Gen | When Wukong meets Yayoi Kusama	05.2025 Singapore
ICLR (invited by Kevin QH. Lin)	AI × Gaming: Creative Applications of AIGC [Video]	04.2025 Singapore
	AI Generation: Inspiring Game Marketing and Development	02.2025 Singapore
AI TIME	Raindrop Clarity: Dual-Focused, Day and Night	09.2024
AI TIME	Shadow Removal using Diffusion Model	01.2024
	Applications of Generative AI	11.2023 Singapore
Huawei	Visibility Enhancement using Generative Model	07.2023
Adobe (invited by Eric Kee)	NextCam Reading Group: Light-effects Suppression	07.2023 USA
Huawei	Image/Video Restoration and Generation	03.2023
AI TIME	Intrinsic Image Decomposition	02.2023
(invited by Hanshu Yan)	Diffusion Model in Image Processing	01.2023
Huawei	Visibility Enhancement in Nighttime	12.2022 Singapore
AI TIME	Unsupervised Image Restoration and Generation	11.2022

Presented at	Date & Venue
VALSE	05.2024, Chongqing, China
Singapore Vision Day	05.2023, Singapore
AI Research Symposium	01.2023, Singapore

✍️ Blogs

🏫 Education

• 01.2020-01.2024: Ph.D. (AI 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

• 11.2023-Present: Staff Researcher at Singapore, working on AIGC.
• 06.2023-09.2023: Adobe Research Intern, Creative Intelligence Lab, mentored by Prof. Connelly Barnes, Prof. Eli Shechtman, 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

• “Yayoi Kusama × Wukong”, ModelScope Wan 2.1 Video Generation Challenge — 2nd Place
• Knowledge Award, Excellent R&D Award, Outstanding Mentor, Outstanding Contributor
• AI Singapore (AISG) Ph.D. Fellowship (Singapore’s most prestigious Ph.D. scholarship) — Theme: Continuous Learning AI, Self-supervised Learning

💻 Professional Services

• Journal Reviewer: TPAMI, IJCV, TIP, TNNLS, TMM, TCSVT, TVCJ, NEUCOM, CVIU, etc.
• Conference Reviewer: ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV, AAAI, ACM MM, ACL, MICCAI, ACCV, IJCAI, IJCNN, etc.
• Teaching Assistant: EE5731 Visual Computing, EE5904 Neural Network (NUS ECE)