Dixin Luo
dixin(dot)luo(at)bit(dot)edu(dot)cn
5 Zhongguancun S ST
Beijing, China
I am a machine learning scientist. I am currently working as an Assistant Professor at Beijing Institute of Technology, Beijing, China. My research aims to develop robust and generalizable machine learning models and algorithms that solve challenging real-world problems. I have been focusing on several research topics, including multi-modal learning, sequential data analysis, and graph analysis. In terms of methodology, I’m interested in computational optimal transport, temporal point processes, and their applications in various domains.
I received my PhD and BE in Electronic Engineering from Shanghai Jiao Tong University (SJTU), in 2016 and 2010, respectively, where I was jointly supervised by Prof. Wenjun Zhang (SJTU), Prof. Hongyuan Zha (Georgia Tech) and Prof. Xiaokang Yang (SJTU). After that, I spent four incredible years at University of Toronto and Duke University as a postdoctoral fellow.
I am recruiting talented and well-motivated undergrad/graduate students to work with on interesting research projects! If you are interested, please drop me an email with your CV.
news
Nov 06, 2024 | I gave a talk “Robust Graph Matching Using An Unbalanced Hierarchical Optimal Transport Framework” at the Second SMAIE Annual Workshop in Beijing, China. |
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Oct 31, 2024 | Our group presented the paper “An Inverse Partial Optimal Transport Framework for Music-guided Trailer Generation” at ACM Multimedia 2024 in Melbourne, Australia. |
Jun 20, 2024 | My student Jiayi presented the paper “Generalizable Face Landmarking Guided by Conditional Face Warping” at CVPR 2024 in Seattle, Washington, United States. |