Yibin Wang

Yibin Wang (王逸彬)

I'm a direct PhD student (2024~2029) at Fudan University in Shanghai, advised by Prof. Cheng Jin and Prof. Weizhong Zhang. Currently, I am enrolled in a joint doctoral training program at the Shanghai Innovation Institute, advised by Jiaqi Wang. I am also mentored by Dr. Yuhang Zang. Now I'm a research intern in the Hunyuan team of Tencent (Qingyun Project).

I graduated as an undergraduate from the College of Computer Science and Technology at Zhejiang University of Technology in 2024, advised by Prof. Jianwei Zheng.

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Recent Publications

I am now focused on computer vision, generative AI, and visual-language models. I have experience in AI applications for medical images during my undergraduate.

	DreamText: High Fidelity Scene Text Synthesis Yibin Wang, Weizhong Zhang, Honghui Xu, Cheng Jin. CVPR, 2025 project page / arXiv / code
	High-fidelity Person-centric Subject-to-Image Synthesis Yibin Wang, Weizhong Zhang, Jianwei Zheng, Cheng Jin. CVPR, 2024 paper / arXiv / code
	PrimeComposer: Faster Progressively Combined Diffusion for Image Composition with Attention Steering Yibin Wang, Weizhong Zhang, Jianwei Zheng, Cheng Jin. ACM MM, 2024 paper / arXiv / code

Selected Preprints

	Unified Multimodal Chain-of-Thought Reward Model through Reinforcement Fine-Tuning Yibin Wang, Zhimin Li, Yuhang Zang, Chunyu Wang, Qinglin Lu, Cheng Jin, Jiaqi Wang. project page / arXiv / code
	Unified Reward Model for Multimodal Understanding and Generation Yibin Wang, Yuhang Zang, Hao Li, Cheng Jin, Jiaqi Wang. project page / arXiv / code
	LiFT: Leveraging Human Feedback for Text-to-Video Model Alignment Yibin Wang, Zhiyu Tan, Junyan Wang, Xiaomeng Yang, Cheng Jin, Hao Li. project page / arXiv / code
	MagicFace: Training-free Universal-Style Human Image Customized Synthesis Yibin Wang, Weizhong Zhang, Cheng Jin. project page / arXiv / code

Selected Awards

• Future Star Honor, 2024 (Research intern, Shanghai Academy of AI for Science)

• National Scholarship, 2024 (PhD student)

• National Scholarship, 2023 (undergraduate student)

Other Publications

[1] PLSNet: Position-aware GCN-based autism spectrum disorder diagnosis via FC learning and ROIs sifting.
Yibin Wang, Haixia Long, Qianwei Zhou, Tao Bo, Jianwei Zheng. Computers in Biology and Medicine (SCI Q1, Top), 2023

[2] Nonlinear Learnable Triple-Domain Transform Tensor Nuclear Norm for Hyperspectral Image Super-Resolution
Honghui Xu, Mengjie Qin, Quanyue Qian, Yibin Wang, Chuangjie Fang, Yan Li, Jianwei Zheng. TGRS (SCI Q1, Top, IF: 8.5), 2025

[3] Residual Graph Transformer for Autism Spectrum Disorder Prediction.
Yibin Wang, Haixia Long, Tao Bo, Jianwei Zheng. Computer Methods and Programs in Biomedicine (SCI Q2, Top), 2024

[4] Laboring on less labors: RPCA Paradigm for Pan-sharpening
Honghui Xu, Chuangjie Fang, Yibin Wang, Jie Wu, Jianwei Zheng. ICCV (CCF A), 2025

[5] Dynamic Operator Optimization for Efficient Multi-Tenant LoRA Model Serving
Changhai Zhou, Yuhua Zhou, Shiyang Zhang, Yibin Wang, Zekai Liu. AAAI (CCF A), 2025

[6] CA-GAN: Object Placement via Coalescing Attention based Generative Adversarial Network.
Yibin Wang, Yuchao Feng, Jie Wu, Honghui Xu, Jianwei Zheng. ICME (CCF B), 2023

[7] Learning Object Placement via Convolution Scoring Attention.
Yibin Wang, Yuchao Feng, Jianwei Zheng. BMVC (CCF C), 2024

[8] Enhancing Object Coherence in Layout-to-Image Synthesis.
Yibin Wang, Changhai Zhou, Honghui Xu. ICME (CCF B), 2025

Research Experience

	Tencent Hunyuan Topic: Multimodal Reinforcement Learning Shanghai, China Jun. 2025 - Present
	Shanghai AI Lab Topic: Multimodal Reinforcement Learning Mentors: Dr. Jiaqi Wang and Yuhang Zang Shanghai, China Jan. 2025 - Jun. 2025
	Shanghai Academy of AI for Science Topic: Text-to-Video Reinforcement Learning Mentor: Dr. Hao Li Shanghai, China Oct. 2024 - Jan. 2025