
Lingzhi Li 李凌志 - Personal Website
My research interests generative model and LLM-based agent. Some of my work are among the PaperDigest Most Influential Papers. I serve as the reviewer of many top conferences (including ICLR,NeurIPS, ICML, CVPR, ICCV, ECCV and AAAI) and top journals (TVCJ, IJCV, TIP, TMM). Recruiting researchers/engineers/research interns! Feel free to contact me.
Michael Lingzhi Li - Faculty & Research - Harvard Business School
Michael Lingzhi Li is an Assistant Professor in the Technology and Operations Management unit at HBS. He teaches the first-year TOM course in the required curriculum. Professor Li’s research focuses on the end-to-end development of decision algorithms based on machine learning, causal inference and operations research.
Liangzhi LI (李良知)
Liangzhi Li concurrently serves as Chief Scientist at Xiamen Meet You Co., Ltd. (美柚), Co-Founder & CTO of Climind, and Professor in the Department of Computer Science at Qufu Normal University (曲阜师范大学). Previously, he was an Assistant Professor at Osaka University (大阪大学) from 2021 to 2023, following a postdoctoral tenure there from 2019 to 2021.
Ling-zhi LI | Professor (Associate) | PhD - ResearchGate
Ling-zhi LI, Professor (Associate) | Cited by 1,292 | of Tongji University, Shanghai | Read 67 publications | Contact Ling-zhi LI
Lingzhi Li (李凌志) - Google Scholar
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …
Lingzhi LI - Tongji University
Dr Li, Ling-zhi is an associate professor at the College of Civil Engineering, Tongji University. He received his Bachelor and MPhil degrees from Tongji University in 2003 and 2006...
Lingzhi Li - Google Scholar
Lingzhi Li. Tongji University. Verified email at tongji.edu.cn - Homepage. ... J Xiao, S Zou, Y Yu, Y Wang, T Ding, Y Zhu, J Yu, S Li, Z Duan, Y Wu, L Li. Journal of Building Engineering 32, 101779, 2020. 159: 2020: Performance-based design of all-grade strain hardening cementitious composites with compressive strengths from 40 MPa to 120 MPa.
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Lingzhi Li
Research in deepfake detection, face replacement and semantic segmentation. Focuses on unknown face forgery detection. Achieve state-of-the-art with self supervised training. First gan-based open-set high fidelity face replacement algorithm. Only one image for both target and source person is required,and needs no further training.
Ling-zhi Li - Assistant Professor - Tongji University - LinkedIn
Assistant Professor at Tongji University · Dr Li, Ling-zhi is an assistant professor at the College of Civil Engineering, Tongji University. He received his Bachelor and MPhil degrees from...
Michael Lingzhi Li - Harvard University - LinkedIn
View Michael Lingzhi Li’s profile on LinkedIn, a professional community of 1 billion members. I am currently serving as an Assistant Professor at Harvard (HBS TOM Unit) and the Chief…
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