Yibing Song 宋奕兵 DAMO Academy Alibaba Group Email: yibingsong.cv at gmail dot com

Biography

I am a staff scientist / research manager at Alibaba DAMO Academy. Previously, I was a faculty member in Fudan University, and a senior researcher in Tencent AI Lab. 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 research resides in computer vision and machine learning, with 50+ premier papers (i.e., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, PAMI, IJCV) published and nearly 10k citations gathered. Currently, I am interested in multi-modality 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 Top 2% Scientists worldwide by Stanford University.

Hiring: I am looking for research scientists/engineers/interns working around multi-modality AI. The JD can be found here.

Professional Activities

Shortlisted Publications   [More]

	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