Luming Tang

I am a CS PhD student at Cornell University starting from 2019 Spring, advised by Professor Bharath Hariharan. Before that, I received my Bachelor degree in Mathematics and Physics from Tsinghua University in July, 2018 where I was very fortunated to be advised by Professor Zhiyuan Liu.

I am always open to research internship and collaboration opportunities. Feel free to shoot me an email if you are interested in my research and wanna schedule a meeting, interview or just casual chat.

I'll intern at Waymo's perception team for 2021 summer.

Email  /  Resume  /  GitHub  /  Google Scholar  /  LinkedIn

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Research

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

(* indicates equal contribution)

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Few-Shot Classification with Feature Map Reconstruction Networks


Davis Wertheimer*, Luming Tang*, Bharath Hariharan
To appear in CVPR, 2021
paper / code

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


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

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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

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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


Projects

Here're some interesting research or course projects I have worked on.

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Baseline implementation of DrQA and BERT finetuning on SQuAD 2.0


Luming Tang
CS 5740 Natural Language Processing, Assignment 4, 2020
code

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An Experimental Evaluation of Optimized Maximum Flow Implementations


Junxi Song, Luming Tang, Hongbo Zhang, Xiaoji Zhang (alphabetical order)
CS 6820 Analysis of Algorithms, Course Project, 2019
draft

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Garbage Collection Schedule Algorithm


Luming Tang*, Junxi Song*
CS 6820 Analysis of Algorithms, Assignment 2 Problem 4, 2019
problem / our proof

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On the Regularization Balance in Autoencoder-Based Generative Models


Bin Dai, Luming Tang, David Wipf
Tech Report, 2019
draft / supplementary

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OpenNRE: An Open-Source Package for Neural Relation Extraction


Tianyu Gao, Xu Han, Shulin Cao, Luming Tang, Yankai Lin, Zhiyuan Liu
THUNLP Github, 2018
code

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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 collaborators.

  • May.2019 - Now: Graphics and Vision Group, Cornell
    Graduate Research Assistant, advised by Bharath Hariharan, collaborate with Davis Wertheimer
  • Sep.2018 - Dec.2018: Visual Computing Group, Microsoft Research Asia
    Research Intern, mentored by David Wipf, collaborated with Bin Dai
  • Sep.2016 - Jun.2018: Natural Language Processing Lab, Tsinghua
    Undergraduate Research Assistant, advised by Zhiyuan Liu
  • Jun.2017 - Sep.2017: Computational Sustainability Lab, Cornell
    Research Intern, advised by Carla P. Gomes, collaborated with Yexiang Xue and Di Chen
  • Dec.2016 - Jun.2017: SenseTime
    Research Intern, mentored by Shuai Yi, collaborated with Zhongdao Wang, Haiyu Zhao and Boyang Deng

Teaching

Teaching Assistant:

Service

Conference Reviewer: CVPR 2021, ICCV 2021

Misc.

  • Header avatars credit to Zeya Peng.
  • I love playing soccer and FIFA/PES games (FIFA'20 Season Division 1).
  • Meet the most adorable S'more! Her Chinese name is 屎妹 :) This is her best friend, Shiba a.k.a. 屎宝 lol.
  • I am from Jiaozuo, a beautiful small city in Henan, China.

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

last update: Apr, 2020