Maosen Li
Ph.D candidate at Cooperative Medianet Innovation Center, Shanghai Jiao Tong University
Advisors: Prof. Ya Zhang,
Dr. Siheng Chen
E-mail: maosen_li@sjtu.edu.cn
Address: 800 Dongchuan Rd. Minhang, Shanghai 200240, China
Education
Shanghai Jiao Tong University (2017-)
Ph.D candidate
Lab: Cooperative Medianet Innovation Center
School: School of Electronic Information and Electrical Engineering
Major: Information and Communication Engineering
University of Electronic Science and Technology of China (2013-2017)
Bachelor Degree
School: School of Optical Information
Major: Information Display and Optical Technology
Shandong Experimental High School (2010-2013)
High School
Ph.D Research Area
Graph Representation Learning; Visual Reasoning; Video Analysis; Image/Video Synthesis; Machine Learning; Computer Vision; Deep Learning.
Publications
Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition (CVPR 2019)
Class-Agnostic Action-Skeleton Graph Neural Networks for 3D Skeleton-based Human Motion Prediction (In Submission)
Unsupervised Local Facial Attributes Transfer Using Dual Discriminative Adversarial Networks (ICME 2018)
Decoupled Variational Embedding for Signed Directed Networks (In Submission)
Honors and Awards
Outstanding Graduates of UESTC (2017)
Undergraduate National Scholarship (2016)
Excellence Scholarship (A) of Cooperative Medianet Innovation Center, SJTU (2018)
First Award of National Post-Graduate Mathematical Contest in Modeling (2018)
Honorable Mentioned of Mathematical Contest in Modeling (2015)
Work and Internship
T.A. of 'Introduction to Electrical Engineering C' (instructors: Prof. Ya Zhang & A.R. Dazhi He).
Intern of Shanghai Media Intelligence Inc.
