[if lte IE 8]>

Hi. I'm Dr. Yang Li

I received my Ph.D. degree from Computer Science Department at University of California, Santa Barbara and I am currently a Staff Machine Learning Engineer at Meta Inc. My research interests are Knowledge Graph Construction, Natural Language Understanding, Recommendation Systems, Data Mining and Applied Machine Learning.

Résumé       LinkedIn       What's New

What's New

Education

UCSB

Ph.D. in Computer Science

Sep. 2010 - Jun. 2015

Santa Barbara, CA

ZJU

B.E. in Computer Science

Sep. 2006 - Jun. 2010

Hangzhou, China

UCLA

Visiting Student

Jul. 2009 - Sep. 2009

Los Angeles, CA

Research Projects

Acronym Disambiguation for Enterprises

[Abstract]

Entity Disambiguation with Linkless Knowledge Bases

[Abstract]

Mining Evidences for Named Entity Disambiguation

[Abstract]

Answering Elementary Science Questions via Coherent Scenes

[Abstract]

Interpreting Public Sentiment Variations on Twitter

[Abstract]

Memory Efficient Minimum Substring Partitioning

[Abstract]

Selected Publications

  • [1] Ji Yang, Xinyang Yi, Derek Zhiyuan Cheng, Lichan Hong, Yang Li, Simon Xiaoming Wang, Taibai Xu, and Ed H. Chi., "Mixed Negative Sampling for Learning Two-tower Neural Networks in Recommendations", Companion Proc. of the Web Conference 2020 (WWW'20), Taipei, April 2020. [Abstract] [Paper] [Citations]

    [2] Xiaolan Wang, Xin Luna Dong, Yang Li and Alexandra Meliou, "MIDAS: Finding the Right Web Sources to Fill Knowledge Gaps", Proc. of the 35th IEEE International Conference on Data Engineering (ICDE'19), Macau SAR, China, April 2019. [Abstract] [Paper] [Citations]

    [3] David Gold, Takeo Katsuki, Yang Li, Xifeng Yan, Michael Regulski, David Ibberson, Thomas Holstein, Robert Steele, David Jacobs, and Ralph Greenspan, "The Genome of the Jellyfish Aurelia and the Evolution of Animal Complexity", Nature Ecology and Evolution, 2018. [Abstract] [Paper] [Citations]

    [4] Yang Li, Bo Zhao, Ariel Fuxman and Fangbo Tao, "Guess Me If You Can: Acronym Disambiguation for Enterprises", Proc. of the 56th Annual Meeting of the Association for Computational Linguistics (ACL'18), Melbourne, Australia, July 2018. [Abstract] [Paper] [Video] [Citations]

    [5] Furong Li, Luna Dong, Anno Langen and Yang Li, "Knowledge Verification for Long-tail Verticals", Proc. of the 43th International Conference on Very Large Databases (VLDB'17), Munich, Germany, August 2017. [Abstract] [Paper] [Citations]

    [6] Yang Li, Shulong Tan, Huan Sun, Jiawei Han, Dan Roth and Xifeng Yan, "Entity Disambiguation with Linkless Knowledge Bases", Proc. of the 25th International World Wide Web Conference (WWW'16), Montréal, Québec, Canada, April 2016. [Abstract] [Paper] [Slides] [Citations]

    [7] Yang Li, Peter Clark, "Answering Elementary Science Questions by Constructing Coherent Scenes Using Background Knowledge", Proc. of the Conference on Empirical Methods in Natural Language Processing (EMNLP'15), Lisboa, Portugal, September 2015. [Abstract] [Paper] [Slides] [Video] [Citations]

    [8] Fangbo Tao, Bo Zhao, Ariel Fuxman, Yang Li and Jiawei Han, "Leveraging Pattern Semantics for Extracting Entities in Enterprises"", Proc. of the 24th International World Wide Web Conference (WWW'15), Florence, Italy, May 2015. [Abstract] [Paper] [Citations]

    [9] Huan Sun, Mudhakar Srivatsa, Shulong Tan, Yang Li, Lance Kaplan, Shu Tao and Xifeng Yan, "Analyzing Expert Behaviors in Collaborative Networks", Proc. of the 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'14), New York, NY, USA, August 2014. [Abstract] [Paper] [Slides] [Poster] [Citations]

    [10] Yang Li, Chi Wang, Fangqiu Han, Jiawei Han, Dan Roth and Xifeng Yan, "Mining Evidences for Named Entity Disambiguation", Proc. of the 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'13), Chicago, IL, USA, August 2013. [Abstract] [Paper] [Poster] [Citations]

    [11] Yang Li, Pegah Kamousi, Fangqiu Han, Shengqi Yang, Xifeng Yan and Subhash Suri, "Memory Efficient Minimum Substring Partitioning", Proc. of the 39th International Conference on Very Large Databases (VLDB'13), Riva del Garda, Trento, Italy, August 2013. [Abstract] [Paper] [Slides] [Press] [Citations]

    [12] Shulong Tan, Yang Li, Huan Sun, Ziyu Guan, Xifeng Yan, Jiajun Bu, Chun Chen and Xiaofei He, "Interpreting Public Sentiment Variations on Twitter", Transactions on Knowledge and Data Engineering (TKDE'13), August 2013. [Abstract] [Paper] [Citations]

    [13] Yang Li and Xifeng Yan, "MSPKmerCounter: A Fast and Memory Efficient Approach for K-mer Counting", arXiv.org preprint. [Abstract] [Paper] [Software] [Citations]

Work Experience

Meta Inc.

Machine Learning Engineer

May. 2022 - Present

Menlo Park, CA

Pinterest Inc.

Machine Learning Engineer

Oct. 2020 - Apr. 2022

Palo Alto, CA

Google Inc.

Machine Learning Engineer

Aug. 2015 - Oct. 2020

Mountain View, CA




Internship Experience

Apple Inc.

Research Intern

Jun. 2013 - Sep. 2013

Cupertino, CA

Contact Me


Also find me on ...