GeezerVison is showing justin900429.github.io — Justin’s Site About MeMy current research lies at the intersection of generative modeling, multimodal AI, and visual reasoning, with a particular focus on diffusion-based models and their applications in computer vision. I completed my Bachelor’s degree in Electrical and Computer Engineering at National Yang Ming Chiao Tung University, where I am now continuing my journey as a Ph.D. candidate. 📝 Publications- Traffic Scene Generation from Natural Language Description for Autonomous Vehicles with Large Language Model
🪶 Bo-Kai Ruan, Hao-Tang Tsui, Yung-Hui Li, Hong-Han Shuai 🌐 In Conference on Computer Vision and Pattern Recognition Workshop (CVPRW) 2026 [Paper] [Code] [Project Page] - HyperRAG: Reasoning N-ary Facts over Hypergraphs for Retrieval Augmented Generation
🪶 Wen-Sheng Lien, Yu-Kai Chan, Hao-Lung Hsiao, Bo-Kai Ruan, Meng-Fen Chiang, Chien-An Chen, Yi-Ren Yeh, Hong-Han Shuai 🌐 In ACM Web Conference (WWW) 2026 [Paper] [Code] - PromptMoG: Enhancing Diversity in Long-Prompt Image Generation via Prompt Embedding Mixture-of-Gaussian Sampling
🪶 Bo-Kai Ruan, Teng-Fang Hsiao, Ling Lo, Yi-Lun Wu, Hong-Han Shuai 🌐 Preprint 2025 [Paper] - Score Replacement with Bounded Deviation for Rare Prompt Generation
🪶 Bo-Kai Ruan, Zi-Xiang Ni, Bo-Lun Huang, Teng-Fang Hsiao, Hong-Han Shuai 🌐 Preprint 2025 [Paper] - FreeCond: Free Lunch in the Input Conditions of Text-Guided Inpainting
🪶 Teng-Fang Hsiao, Bo-Kai Ruan, Sung-Lin Tsai, Yi-Lun Wu, Hong-Han Shuai 🌐 In Winter Conference on Applications of Computer Vision (WACV) 2026 [Paper] [Code] - Ranking-based Preference Optimization for Diffusion Models from Implicit User Feedback
🪶 Yi-Lun Wu, Bo-Kai Ruan, Chiang Tseng, Hong-Han Shuai 🌐 In Neural Information Processing Systems (NeurIPS) 2025 [Paper] [Code] [Project Page] - Color Me Correctly: Bridging Perceptual Color Spaces and Text Embeddings for Improved Diffusion Generation
🪶 Sung-Lin Tsai, Bo-Lun Huang, Yu Ting Shen, Cheng Yu Yeo, Chiang Tseng, Bo-Kai Ruan, Wen-Sheng Lien, Hong-Han Shuai 🌐 In ACM International Conference on Multimedia (ACM MM) 2025 [Paper] - TF-TI2I: Training-Free Text-and-Image-to-Image Generation via Multi-Modal Implicit-Context Learning in Text-to-Image Models
🪶 Teng-Fang Hsiao, Bo-Kai Ruan, Yi-Lun Wu, Tzu-Ling Lin, Hong-Han Shuai 🌐 In International Conference on Computer Vision (ICCV) 2025 [Paper] [Code] [Project Page] - MAD: Makeup All-in-One with Cross-Domain Diffusion Model
🪶 Bo-Kai Ruan, Hong-Han Shuai 🌐 In Conference on Computer Vision and Pattern Recognition Workshop (CVPRW) 2025 [Paper] [Code] [Project Page] - Training-and-Prompt-Free General Painterly Harmonization via Zero-Shot Disentenglement on Style and Content References
🪶 Teng-Fang Hsiao, Bo-Kai Ruan, Hong-Han Shuai 🌐 In AAAI Conference on Artificial Intelligence (AAAI) 2025 [Paper] [Code] - Temporal Difference-Aware Graph Convolutional Reinforcement Learning for Multi-Intersection Traffic Signal Control
🪶 Wei-Yu Lin, Yun-Zhu Song, Bo-Kai Ruan, Hong-Han Shuai, Chih-Ya Shen, Li-Chun Wang, Yung-Hui Li 🌐 IEEE Transactions on Intelligent Transportation Systems (T-IST) 2023 [paper] [code] - Modeling Uncertainty for Low-Resolution Facial Expression Recognition
🪶 Ling Lo, Bo-Kai Ruan, Hong-Han Shuai, Wen-Huang Cheng 🌐 IEEE Transactions on Affective Computing (T-AC) 2023 [Paper] - Mimicking the Annotation Process for Recognizing the Micro Expressions
🪶 Bo-Kai Ruan, Ling Lo, Hong-Han Shuai, Wen-Huang Cheng 🌐 In ACM International Conference on Multimedia (ACM MM) 2022 [Paper] [Code]
More can be found in my Google Scholar Page. 🌟 ServicesSelected Honors- NeurIPS 2025 Top Reviewer Award
Conference Reviewers- European Conference on Computer Vision (ECCV), 2026
- Conference on Computer Vision and Pattern Recognition (CVPR), 2026
- International Conference on Learning Representations (ICLR), 2025-2026
- Neural Information Processing Systems (NeurIPS), 2025
- AAAI Conference on Artificial Intelligence (AAAI), 2025
- ACM International Conference on Multimedia (ACM MM), 2023-2025
- IEEE International Conference on Multimedia (ICME), 2023-2024
Journal Reviewers- IEEE Transactions on Image Processing (TIP)
- IEEE Transactions on Multimedia (TMM)
- Transactions on Machine Learning Research (TMLR)
🎓 Educations- 2023 - Present, ECE PhD, National Yang Ming Chiao Tung University, Taiwan
- 2019 - 2023, ECE Undergraduate, National Yang Ming Chiao Tung University, Taiwan
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