Luming Tang

I am a CS PhD student at Cornell University starting from Spring 2019, advised by Professor Bharath Hariharan. Previously, I received my Bachelor degree in Mathematics and Physics from Tsinghua University.

Email / Resume / GitHub / Google Scholar / LinkedIn

Research

My current interests lie at the intersection of machine learning and computer vision.

Multi-Entity Dependence Learning with Rich Context via Conditional Variational Auto-encoder

Luming Tang, Yexiang Xue, Di Chen, Carla P. Gomes
Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), 2018
paper / poster / slides

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)
IEEE International Conference on Computer Vision (ICCV), 2017
paper / poster

Hierarchical Deep Recurrent Architecture for Video Understanding

Luming Tang, Boyang Deng, Haiyu Zhao, Shuai Yi
CVPR Workshop on Youtube-8M Large-Scale Video Understanding, 2017
paper / code

Project

RE_NetVLAD: a New Sentence Encoder for Rich Context Relation Extraction

Luming Tang, Zhiyuan Liu
Undergraduate Thesis (in Chinese), 2018
paper / slides

OpenNRE: An Open-Source Package for Neural Relation Extraction implemented in TensorFlow

Tianyu Gao, Xu Han, Shulian Cao, Luming Tang, Yankai Lin, Zhiyuan Liu
code

Experience

I am very fortunate to have chance to work in multiple great research groups and spend enjoyable time with so many amazing advisors, mentors and co-workers.

Sep.2018 - Dec.2018: Visual Computing Group, Microsoft Research Asia
Research Intern, mentored by David Wipf
Sep.2016 - Jun.2018: Natural Language Processing Lab, Tsinghua University
Research Assistant, advised by Prof. Zhiyuan Liu
Jun.2017 - Sep.2017: Computational Sustainability Lab, Cornell University
Research Intern, advised by Prof. Carla Gomes, worked with Prof. Yexiang Xue
Dec.2016 - Jun.2017: Research Group, Sensetime Group Limited
Research Intern, mentored by Shuai Yi

Teaching

Teaching Assistant:

Spring 2019, CS4787 Principles of Large-Scale Machine Learning
Summer 2019, CS2110 OOP and Data Structures
Fall 2019, CS6670 Graduate Computer Vision

Misc.

I love playing soccer and FIFA/PES games.
I watch a lot of movies during my spare time. My favorite films are Infernal Affairs, Pulp Fiction and Annie Hall. My favorite directors are Ang Lee, Quentin Tarantino and Woody Allen.
I enjoy reading all kinds of books since I was a little kid. My favorite ones are the Great Gatsby and Tokugawa Ieyasu. My favorite writers are Haruki Murakami and Pai Hsien-yung.

Design and source code modified based on Leonid Keselman's website