Haibin Ling

Haibin Ling (凌海滨) (CV)
SUNY Empire Innovation Professor
Dept of Computer Science, Stony Brook University
Room 147, New Computer Science Bldg, Stony Brook, NY 11794-2424
hling AT cs.stonybrook.edu OR haibin.ling AT gmail.com | (+1) 631-632-8457

Short Bio: Haibin Ling received B.S. and M.S. from Peking University in 1997 and 2000, respectively, and Ph.D. from University of Maryland in 2006. From 2000 to 2001, he was an assistant researcher at Microsoft Research Asia; from 2006 to 2007, he worked as a postdoctoral scientist at UCLA; from 2007 to 2008, he worked for Siemens Corporate Research as a research scientist; and from 2008 to 2019, he was first an assistant and then an associate professor of Temple University. In fall 2019, he joined the Department of Computer Science of Stony Brook University, where he is now a SUNY Empire Innovation Professor. His research interests include computer vision, augmented reality, AI for science, medical image analysis, and machine learning. He received Best Student Paper Award of ACM UIST (2003), Best Journal Paper Award at IEEE VR (2021), NSF CAREER Award (2014), Yahoo Faculty Research and Engagement Award (2019), and Amazon Machine Learning Research Award (2019). He serves or served as associate editors for IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), IEEE Trans. on Visualization and Computer Graphics (TVCG), Pattern Recognition (PR), and Computer Vision and Image Understanding (CVIU), and as Area Chairs for major computer vision relevant conferences such as CVPR, ICCV, ECCV, ACM MM, and WACV. He is a Fellow of IEEE.

Prospective students: please read HERE.
News:

2024-11: Tao Sun defended his thesis, congratualtions Dr. Sun!
2024-10: A paper on topological medical image understnading (link) accepted by MedIA.
2024-09: Papers on video action analysis (pdf/code), map layout estimation (pdf/code), and forward graph neural network learning (pdf) accepted by NeurIPS 2024.
2024-09: A paper on 3D object detection (link) accepted by PAMI.
2024-08: A paper on correspondence learning (link) accepted by PAMI.
2024-07: A paper on GNN-based label placement (pdf/code) accepted by IEEE VIS 2024.
2024-07: Papers on LoRA-enhanced tracking (pdf/code) and VL backdoor attack (pdf) accepted by ECCV 2024.
2024-06: A paper on domain adaptive object detection (pdf/code) accepted by PAMI.
2024-06: Papers on 3D vessel (pdf/code) and OCTA enhancement (pdf/code) accepted by MICCAI 2024.
2024-06: A paper on semantic segmentation (link) accepted by PAMI.