Luming Tang (唐路明)

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 2018 where I was very fortunate to be advised by Professor Zhiyuan Liu.

I am currently looking for research internship of summer 2022. Please feel free to reach out to me for potential opportunities.

Email  /  Resume  /  GitHub  /  Google Scholar  /  LinkedIn

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

(* indicates equal contribution)

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Few-Shot Learning in Long-Tailed Settings

Davis Wertheimer, Luming Tang, Dhruv Baijal*, Pranjal Mittal*, Anika Talwar*, Bharath Hariharan
Tech report, 2021
paper / code

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Few-Shot Classification with Feature Map Reconstruction Networks

Davis Wertheimer*, Luming Tang*, Bharath Hariharan
CVPR, 2021
paper / video / code / poster

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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


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

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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

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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

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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
draft / code


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 Assistant:


Conference Reviewer: CVPR 2021 (Outstanding Reviewer), ICCV 2021, CVPR 2022


  • 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: Sep, 2021