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 in June, 2018.

Email / Resume / GitHub / Google Scholar / LinkedIn

Research

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

(* indicates equal contribution)

Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition

Luming Tang, Davis Wertheimer, Bharath Hariharan
CVPR, 2020
paper / code

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

Luming Tang*, Yexiang Xue*, Di Chen, Carla P. Gomes
AAAI, 2018
paper / code / 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
ICCV, 2017
paper / dataset / poster

Project

OpenNRE: An Open-Source Package for Neural Relation Extraction

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

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

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 Zhiyuan Liu
Jun.2017 - Sep.2017: Computational Sustainability Lab, Cornell University
Research Intern, advised by Carla Gomes, worked with 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 (FIFA'20 Season Division 1).

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

last update: Apr, 2020