Haibin Ling  (凌海滨)    (CV)
Chair Professor
Westlake Intelligent Computing and Application Lab
Dept of Artificial Intelligence, Westlake University
Hangzhou, China
haibin.ling AT gmail.com | linghaibin AT westlake.edu.cn

Short Bio: Haibin Ling received his B.S. and M.S. degrees from Peking University, and his Ph.D. from the University of Maryland. He worked as an assistant researcher at Microsoft Research Asia (2000–2001), a postdoctoral researcher at the UCLA (2006–2007), and a research scientist at Siemens Corporate Research (2007–2008). He then served as an Assistant Professor (2008–2014) and Associate Professor (2014–2019) at Temple University, and as a SUNY Empire Innovation Professor in the Department of Computer Science at Stony Brook University (2019-2025). In 2025, he joined Westlake University as a Chair Professor in the Department of Artificial Intelligence. His research interests span computer vision, augmented reality, medical image analysis, machine learning, and AI for science. His honors include the Best Student Paper Award at ACM UIST (2003), NSF CAREER Award (2014), Yahoo Faculty Research and Engagement Award (2019), Amazon Machine Learning Research Award (2019), Best Journal Paper Award at IEEE VR (2021), and Best Paper Award at IEEE VR (2026). He serves or served as Associate Editors for IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), IEEE Transactions on Visualization and Computer Graphics (TVCG), Computer Vision and Image Understanding (CVIU), and Pattern Recognition (PR). He has also served frequently as an Area Chair for major AI conferences including CVPR, ICCV, ECCV, ACM MM, and WACV. He is a Fellow of the IEEE.
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Prospective students and lab members: we have opennings for postdocs, PhD students, visiting students/interns, research assistants, etc. If interested, please send your CV to me, with any materials that you view as relevant. Due to the high volume of requests, I might not respond to each individual email, please feel free to move on if I did not reply in two weeks.
News:
  • 2026-06: Peiyao Wang defended her dissertation, congratulations Dr. Peiyao!
  • 2026-06: A paper on LLM-based molucular structure inference accepted by Journal of Cheminformatics.
  • 2026-05: A paper on medical image segmentation accepted by ICML 2026.
  • 2026-04: A paper on efficient RAG accepted by TMLR.
  • 2026-04: Wensheng Cheng defended his dissertation, congratulations Dr. Cheng!
  • 2026-03: Received Best Paper Award at IEEE VR 2026, congratulations to Haibo, Qingyue, Jijiang and Bingyao!
  • 2026-03: Papers on Gaussian Splatting segmentation (pdf/code), enhancement (pdf/code), structure CoT (pdf), and driving lane detection (pdf/code) accepted by CVPR 2026.
  • 2026-02: Zhenghong Li defended his dissertation, congratulations Dr. Zhenghong!
  • 2026-01: CryoSplat, Gaussian splatting-based cryo-em reconstruction, accepted by ICLR 2026.
  • 2026-01: Papers on projection captioning (project), diffusion projector compensation (code), and setup-independent compensation (pdf) accepted by IEEE VR 2026.
  • 2025-11: A paper on neurovascular impairment study accepted by Translational Neurodegeneration.
  • 2025-09: XDIP: An X-ray Absorption Spectrum Dataset, is released (pdf/project).
  • 2025-09: LoRATv2 (pdf): our latest tracking algorithm, accepted by NeurIPS 2025.
  • 2025-09: A paper on autonomous driving (link) accepted by PAMI.
  • 2025-07: RINDNet++, a fine-grained edge detector (pdf/code), accepted by IJCV.
  • 2025-07: A paper on transformer ansatz for the density operator of steady states (pdf) accepted by Physical Review B.
  • 2025-07: A paper on label placement accepted by IEEE VIS 2025/TVCG.

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