Long T. Le

Software Engineer, Machine Learning, Google

About Me

My Picture 

I’m currently a Software Engineer, Machine Learning at Google.

I received my Ph.D. from Department of Computer Science, Rutgers University.

Before that, I graduated with a Bachelor of Computing in Computer Engineering from National University of Singapore.


  • Office: Google SVL - Moffett Place, Sunnyvale, CA 94089

Research Interests

My research interest is data mining, machine learning with an emphasis on community Q&A, online community, social networks, and large scale networks.

Working Experiences

Google (Sunnyvale, CA). (Dec 2018-current)

  • MLE

Capital One (New York, NY). (May 2017-Dec 2018)

  • Being a member of the Center for Machine Learning (C4ML). C4ML was formed to partner with existing business and tech groups within Capital One to create and deliver machine learning systems, in addition to augmenting ones in production.

  • Working in Deep Learning and NLP projects.

Yahoo! Labs (Sunnyvale, CA). (Summer 2013)

  • Summer Internship in Computational Advertising Group: Investigated users’ search behaviors while online shopping.

EveryScreen Media (NY, NY), acquired by Dstillery. (Summer 2012)

  • Summer Internship in Data Science team: Lead the mobile geo-location feasibility study.

National University of Singapore.

  • Summer internship : Built power-aware middleware for multiplayer mobiles games (Summer 2011)

  • Research engineer at CIR lab in project “Power management in mobile devices”: Built software infrastructure to support multiplayer mobiles games (June 2009– July 2010)

Teaching Experiences.

  • I taught several courses at Rutgers University (Introduction to Computer Science, Discrete Structure, System Programming, Internet Technology, Computer Network).

Technical Reports

11. Assessing the Quality of Answers Autonomously in Community Question-Answering.

  • Long T. Le, Chirag Shah, Erik Choi.


10. Identifying Potential Answerers in Community Question Answering.

  • Long T. Le, Chirag Shah.

  • Journal of the Association for Information Science and Technology (JASIST), 2018

9. Bad Users or Bad Content? Breaking the Vicious Cycle by Finding Struggling Students in Community Question-Answering.

  • Long T. Le, Chirag Shah, Erik Choi.

  • The 2017 ACM SIGIR Conference on Human Information Interaction & Retrieval (CHIIR’17), Oslo, Norway, March 2017.

8. Discerning the Quality of Questions in Educational Q&A using Textual Features. (short paper)

  • Manasa Rath, Long T. Le, Chirag Shah.

  • The 2017 ACM SIGIR Conference on Human Information Interaction & Retrieval (CHIIR’17), Oslo, Norway, March 2017.

7. Evaluating the Quality of Educational Answers in Community Question-Answering.

  • Long T. Le, Chirag Shah, Erik Choi.

  • The 2016 ACM/IEEE Joint Conference on Digital Library (JCDL’16) , Newark, NJ, June 2016.

  • Best Student Paper Award

  • Best Paper Award Nominee

6. Retrieving Rising Stars in Focused Community Question-Answering.

  • Long T. Le, Chirag Shah.

  • The 8th Asian Conference on Intelligent Information and Database Systems (ACIIDS’2016 ) , Da Nang, Vietnam, March 2016. Published by Springer Lecture Notes in Artificial Intelligence (LNAI).

5. MET: A Fast Algorithm for Minimizing Propagation in Large Graphs with Small Eigen-Gaps.

  • Long T. Le, Tina Eliassi-Rad, Hanghang Tong.

  • The 2015 SIAM International Conference on Data Mining (SDM’15) , Vancouver, British Columbia, Canada, April 2015.

4. Measuring Coverage and Divergence of Reading Behaviors Among Friends.

  • Long T. Le, Tina Eliassi-Rad.

  • The ACM SIGKDD International Workshop on Data Science for News Publishing (NewsKDD’14), New York, NY, August 2014.

3. Hyperlocal: Inferring Location of IP Addresses in Real-time Bid Requests for Mobile Ads.

  • Long T. Le, Tina Eliassi-Rad, Foster Provost, and Lauren Moores.

  • The 6th ACM SIGSPATIAL International Workshop on Location-Based Social Networks (LBSN’13), Orlando, FL, November 2013.

2. ARIVU: Power-Aware Middleware for Multiplayer Mobile Games.

  • Bhojan Anand, Karthik Thirugnanam, Long T. Le, Duc-Dung Pham, Akhihebbal L. Ananda, Rajesh Krishna Balan, and Mun Choon Chan.

  • The 9th Annual Workshop on Network and System Support for Games (NetGames’2010), Taipei, Taiwan, 2010.

1. Game Action Based Power Management for Multiplayer Online Game.

  • Bhojan Anand, Akhihebbal L. Ananda, Mun Choon Chan, Rajesh Balan, Long T. Le.

  • The ACM SIGCOMM Workshop on Networking, Systems, Applications on Mobile Handhelds (MobiHeld 2009), Spain, 2009.


  • SIGIR Travel Grant (2017)

  • Best Student Paper of JCDL (2016)

  • Singapore scholarship (covered full tuition fee and living allowance) (Aug 2005- July 2009)

  • Odon Vallet book prize for top students in HCM National University of Vietnam (Mar 2004)

  • Third prize in Vietnam National Mathematics Olympiad (April 2003)

  • Silver Medal in Southern Vietnam Mathematics Competition (March 2002)

  • Bronze Medal in Sothern Vietnam Mathematics Competition (Mar 2001)