Research
* Equal contribution, † Corresponding author
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Jodi: Unification of Visual Generation and Understanding via Joint Modeling
Yifeng Xu, Zhenliang He, Meina Kan, Shiguang Shan, Xilin Chen
arXiv, 2025
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Jodi is a diffusion model that unifies visual generation and understanding by jointly modeling the image domain and multiple label domains, supporting joint generation, controllable generation and image perception.
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CtrLoRA: An Extensible and Efficient Framework for Controllable Image Generation
Yifeng Xu, Zhenliang He, Shiguang Shan, Xilin Chen
International Conference on Learning Representations (ICLR), 2025
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We propose CtrLoRA, a framework that enables users to efficiently develop controllable generation models for new conditions with minimal data (~1,000 samples) and resources (< 1 hour training on a single GPU).
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Hierarchical Contrastive Learning for Pattern-Generalizable Image Corruption Detection
Xin Feng*, Yifeng Xu*, Guangming Lu†, Wenjie Pei†
International Conference on Computer Vision (ICCV), 2023
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We propose a framework that automatically detects pixel-level corruption masks through hierarchical contrastive learning, enabling effective blind image restoration across diverse corruption patterns.
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Awards
- Silver Medal, The 46th ICPC Asia Regional Contest, Jinan Site, 11/2021
- First Prize, China Undergraduate Mathematical Contest in Modeling, Guangdong Province, 10/2021
- First Prize, National College Mathematics Competition, 12/2020
- Silver Medal, China Collegiate Programming Contest (CCPC), Weihai Site, 10/2020
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Honors
- First-Class Academic Scholarship, Institute of Computing Technology, CAS, 2025
- First-Class Academic Scholarship, Harbin Institute of Technology, Shenzhen, 2022
- First-Class Academic Scholarship, Harbin Institute of Technology, Shenzhen, 2021
- China National Scholarship, Ministry of Education of China, 2020
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