My current research interests lie in the field of machine learning, including statistical learning and deep learning as well as their applications on computer vision, natural language processing and computational sustainability.
Jun.2017 - Sep.2017
Research Intern at Institude of Computational Sustainability, Cornell University
Advised by Prof. Carla P. Gomes
Sep.2016 - Present
Undergraduate Researcher at Natural Language Processing Lab, Tsinghua University
Advised by Prof. Zhiyuan Liu
Multi-Entity Dependence Learning with Rich Context via Conditional Variational Auto-encoder
Luming Tang, Yexiang Xue, Di Chen, Carla P. Gomes.
to appear in Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18). [ arXiv ]
Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification
Zhongdao Wang*, Luming Tang*, Xihui Liu, Zhuliang Yao, Shuai Yi, Jing Shao, Junjie Yan, Shengjin Wang, Hongsheng Li, Xiaogang Wang. (* indicates equal contribution)
in IEEE International Conference on Computer Vision (ICCV 2017). [ Paper ]
Hierarchical Deep Recurrent Architecture for Video Understanding
Luming Tang, Boyang Deng, Haiyu Zhao, Shuai Yi.
in CVPR 2017 Workshop on Youtube-8M Large-Scale Video Understanding. [ Paper ] [ Code ]
Rich Contexted Based Video Understanding: from Vehicle Re-ID to Youtube8M Challenge [ PPT ] [ PDF ]
invited talk at Disney Research Pittsburgh (hosted by Dr. Alber Li) and Informedia Lab (hosted by Prof. Alex Hauptmann) in Carnegie Mellon University, Sep.2017