Yiru Chen

Ph.D. student in Computer Science
Columbia University



425 Mudd, 500 W 120th St






Google Scholar




About me

My name is Yiru Chen (陈一茹 in Chinese). I am a PhD student in the Computer Science Department at Columbia University advised by Prof. Eugene Wu. My research interests are database system, human data interaction, visualization, and machine learning. Currently, I am working on Precision Interfaces, a semi-automatic system to generate task-specific data analytics interfaces.

Prior to CMU, I received my bachelor's degree in Computer Science (with SUMMA CUM LAUDE) and Economics at Peking University in 2018, advised by Prof. Bin Cui.


Deep Neural Inspection Using DeepBase [pdf]
Yiru Chen, Yiliang Shi, Boyuan Chen, Thibault Sellam, Carl Vondrick, Eugene Wu
Systems for ML Workshop @ NeurIPS 2018

DeepBase: Deep Inspection of Neural Networks [pdf]
Thibault Sellam, Kevin Lin, Ian Yiran Huang, Yiru Chen, Michelle Yang, Carl Vondrick, Eugene Wu
Technical Report (Later In SIGMOD 2019)

A Reinforcement Learning Framework for Explainable Recommendation [pdf]
Xiting Wang, Yiru Chen, Jie Yang, Le Wu, Zhengtao Wu, Xing Xie
2018 IEEE International Conference on Data Mining (ICDM)

PSFGAN: a generative adversarial network system for separating quasar point sources and host galaxy light [pdf]
Dominic Stark, Barthelemy Launet, Kevin Schawinski, Ce Zhang, Michael Koss, M Dennis Turp, Lia F Sartori, Hantian Zhang, Yiru Chen, Anna K Weigel
Monthly Notices of the Royal Astronomical Society. 2018 Mar 22;477(2):2513-27

Mlog: Towards declarative in-database machine learning [pdf] [code]
Xupeng Li, Bin Cui, Yiru Chen, Wentao Wu, Ce Zhang
VLDB Demonstration 2017

On-Demand Service-Based Big Data Integration: Optimized for Research Collaboration [pdf]
Pradeeban Kathiravelu, Yiru Chen, Ashish Sharma, Helena Galhardas, Peter Van Roy, Luís Veiga
VLDB Workshop on Data Management and Analytics for Medicine and Healthcare 2017

SIGMOD 2017 Programming Contest [pdf] [code]
Xupeng Li, Xuecan Yan, Yiru Chen


Here is a list of courses that I am TAing/TA’ed.

Spring '19, Columbia University
Instructor: Prof. Eugene Wu

COMS 4231 Analysis of Algorithms I
Fall '19, Columbia University
Instructor: Prof. Cliff Stein


2018.8 - present
Graduate Research Assistant at CS Department, Columbia University
Advisor: Prof. Eugene Wu

2015.11 - 2018.6
Undergraduate Research Assistant, Data and Information Management Group, Peking University
Advisor: Prof. Cui Bin

2017.10 - 2018.4
Research Intern, Social Computing Group, Microsoft Research Aisa, Beijing
Mentor: Dr. Xing Xie and Dr. Xiting Wang

2017.6 - 2017.9
Research Intern, CASOS, Carnegie Mellon University
Advisor: Prof. Kathleen Carley

2016.4 - 2016.8
GSOC Successful Student, Google Summer of Code 2016, Google Inc.
Doc Open Source Link Blog of Mentor

Honors and Awards (Selected)

  • National Scholarship (highest honor), Top 0.1% among undergraduates nationwide, The Chinese Government, 2017, 2015
  • Runner Up (out of 39 teams worldwide) , ACM SIGMOD Programming Contest 2017
  • Microsoft Research Asia Reward of Excellence
  • Pacemaker to Merit Student , Peking University, 2017
  • Best Oral Presentation Award in PKU Young Scientists Symposium on Informatics (top 1%), 2017
  • Founder Scholarship, 2016
  • Outstanding Undergraduate Research Award, Top 1% among undergraduates, Peking University, 2016
  • 1st Prize Chinese Mathematical Olympiad in Provinces(Jiangsu), 2014, 2013
  • Recommended (Early) Admission into Peking University ,2013