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 broadly in database system, data mining, and machine learning. Currently, we are developing a declarative system for developers to easily inspect and understand neural network models at scale. [medium]

I graduated with a B.Sc. summa cum laude in Computer Science from Peking University, China in 2018. During my undergraduare, I explored several research topics on recommender system, ML system, data integration and computer vision advised by Prof. Bin Cui.

What’s New

Dec 7, 2018 Our paper Deep Neural Inspection Using DeepBase is presented at Systems for ML Workshop @ NeurIPS 2018 in Montreal.


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


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