Yibing Song 宋奕兵 Deputy Chief Engineer (Algorithm) BYD Group Email: yibingsong.cv at gmail dot com

Biography

I oversee the AI system design in BYD electric vehicles. Previously, I held positions in Academia (i.e., Fudan University as a faculty member) and Industry (i.e., Alibaba DAMO Academy, and Tencent AI Lab as a research scientist). I got my PhD/MPhil degrees from City University of Hong Kong during which I visited Adobe Research and UC Merced, and got my bachelor degree from University of Science and Technology of China. My expertise resides in computer vision and machine learning, with 60+ premier papers (i.e., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, PAMI, IJCV) published and 12k+ citations gathered. Specifically, I am experienced in multi-modal AI, from model-centric, data-centric, and human-centric perspectives, with applications centered around computer vision. I am an IEEE senior member, and have been elected among the Top 2% Scientists worldwide by Stanford University.

Professional Activities

Shortlisted Publications   [More] [Citations]

	CoT-lized Diffusion: Let's Reinforce T2I Generation Step-by-Step Zheyuan Liu, Munan Ning, Qihui Zhang, Shuo Yang, Zhongrui Wang, Yiwei Yang, Xianzhe Xu, Yibing Song, Weihua Chen, Fan Wang, and Li Yuan Advances in Neural Information Processing Systems (NeurIPS) 2025 Paper / Project
	LLaVA-CoT: Let Vision Language Models Reason Step-by-Step Guowei Xu, Peng Jin, Li Hao, Yibing Song, Lichao Sun, and Li Yuan, IEEE/CVF International Conference on Computer Vision (ICCV) 2025 Paper / Project
	Re-Aligning Language to Visual Objects with an Agentic Workflow Yuming Chen, Jiangyan Feng, Haodong Zhang, Lijun Gong, Feng Zhu, Rui Zhao, Qibin Hou, Ming-Ming Cheng, and Yibing Song, International Conference on Learning Representations (ICLR) 2025 Paper / Project
	DiffusionDET: Diffusion Model for Object Detection Shoufa Chen, Peize Sun, Yibing Song, and Ping Luo, IEEE/CVF International Conference on Computer Vision (ICCV) 2023 (Best Paper Nominee) Paper / Project
	VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training Zhan Tong, Yibing Song, Jue Wang, and Limin Wang, Advances in Neural Information Processing Systems (NeurIPS) 2022 (Spotlight) Paper / Project / Hugging Face Repo Ranked 8th in most influential NIPS 2022 papers / Ranked 39th in most cited 2022 AI papers