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

Biography

I oversee the AI systems 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 10k+ 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]

	LLaVA-CoT: Let Vision Language Models Reason Step-by-Step Guowei Xu, Peng Jin, Li Hao, Yibing Song, Lichao Sun, and Li Yuan, Arxiv 2024 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
	Aligning Audio-Visual Joint Representations with an Agentic Workflow Shentong Mo, and Yibing Song, Advances in Neural Information Processing Systems (NeurIPS) 2024 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