Huayi Li

pronunciation similar to [Howie Lee]

 

 

 

I joined Google (Mountain View, California) in June 2016. Before that I was pursuing my Ph.D. degree in Department of Computer Science, University of Illinois at Chicago supervised by Prof. Bing Liu. I worked in the Social Media and Data Mining (SMDM) lab focusing on Spam Detection, Sentiment Analysis and Social Network Analysis.

Publications

 

    Here is my Google Scholar page.

  1. Huayi Li, Geli Fei, Shuai Wang, Bing Liu, Weixiang Shao, Arjun Mukherjee, Jidong Shao. Bimodal Distribution and Co-Bursting in Review Spam Detection. Proceedings of the 26th International Conference on World Wide Web (WWW 2017). April 5-7, Perth, Australia

  2. Geli Fei, Huayi Li, Bing Liu. Opinion Spam Detection in Social Networks. Book chapter in Federico Pozzi, Elisabetta Fersini, Enza Messina and Bing Liu, editors, Sentiment Analysis in Social Networks. Elsevier 2016.

  3. Rachel Harsley, Bhavesh Gupta, Barbara Di Eugenio, Huayi Li. Hit Songs' Sentiments Harness Public Mood & Predict Stock Market. Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis. (WASSA 2016). June 12-17, San Diego, USA

  4. Huayi Li, Zhiyuan Chen, Arjun Mukherjee, Bing Liu, Jidong Shao. Analyzing and Detecting Opinion Spam on a Large-scale Dataset via Temporal and Spatial Patterns. Proceedings of Ninth International AAAI Conference on Web and Social Media (ICWSM 2015, short paper), May 26-29, Oxford, UK. [poster]

  5. Huayi Li, Arjun Mukherjee, Jianfeng Si, Bing Liu. Extracting Verb Expressions Implying Negative Opinions. Proceedings of Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI 2015), January 25-29, Austin, USA

  6. Huayi Li, Arjun Mukherjee, Bing Liu, Rachel Kornfield, Sherry Emery. Detecting Campaign Promoters on Twitter using Markov Random Fields. Proceedings of IEEE International Conference on Data Mining (ICDM 2014), December 14-17, Shenzhen, China.

  7. Huayi Li, Zhiyuan Chen, Bing Liu, Xiaokai Wei, Jidong Shao. Spotting Fake Reviews via Collective Positive-Unlabeled Learning. Proceedings of IEEE International Conference on Data Mining (ICDM 2014, short paper), December 14-17, Shenzhen, China. [dataset]

  8. Huayi Li, Arjun Mukherjee, Bing Liu, Jidong Shao. Spotting Fake Reviews using Positive-Unlabeled Learning. Journal of ComputaciĆ³n y Sistemas 2014.

  9. Jianfeng Si, Arjun Mukherjee, Bing Liu, Sinno Jialin Pan, Qing Li, Huayi Li. Exploiting Social Relations and Sentiment for Stock Prediction. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2014), October 25-29, Doha, Qatar.

  10. Jianfeng Si, Arjun Mukherjee, Bing Liu, Qing Li, Huayi Li, Xiaotie Deng. Exploiting Topic based Twitter Sentiment for Stock Prediction. Proceedings of The 51st Annual Meeting of the Association for Computational Linguistics (ACL 2013), August 4-9, 2013, Sofia, Bulgaria.

  11. Huayi Li. Detecting Opinion Spam in Commercial Review Websites. Ph.D. Thesis (University of Illinois at Chicago, 2016).

Services

 

Teaching Assistant

  • Discovering Computer Science, Spring 2011
  • C/C ++ Programming for Engineers with MatLab, Fall 2011
  • Database Systems, Spring 2012
  • Data Structures and Discrete Mathematics, Fall 2013

Journal/Conference Reviewer

  • AAAI: AAAI Conference on Artificial Intelligence, 2017 (PC Member)
  • TKDE: IEEE Transactions on Knowledge and Data Engineering, 2016
  • DMKD: Data Mining and Knowledge Discovery, 2016
  • TWEB: ACM Transactions on the Web, 2015 and 2016
  • CIKM: ACM International Conference on Information and Knowledge Management, 2016
  • EMNLP: Conference on Empirical Methods in Natural Language Processing, 2016 (PC Member)
  • Computer Speech and Language, 2016
  • COMPUT J: The Computer Journal, 2015

Honors

 

  • Trade Places with an Advertiser Course Certificate by Microsoft, July 2015
  • UIC Student Presenter Award, June 2015
  • AAAI International Conference on Web and Social Media (ICWSM) Student Grant Award, May 2015
  • Statement of accomplishment of Stanford Mining Massive Datasets course (with distinction), April 2015
  • UIC Graduate Student Council Travel Award, February 2015
  • IEEE International Conference on Data Mining (ICDM) Travel Award, October 2014
  • First place of Microsoft College Coding Challenge (UIC division, solved all problems), October 2014
  • 2013 Nokia HERE hack week finalist, June 2013 (20 out of 70)
  • Statement of accomplishment of Stanford Machine Learning course, January 2012
  • Outstanding student in Nanjing Normal University, November 2008 (top 10)
  • Software Scholarship awarded by Jiangsu Province Government, September 2008 (top 1%)
  • National Innovation Scholarship, December 2007 (top 5%)

Hobbies

 

Mottos

 

  • Experience is what you get when you can't get what you want.

  • Improvement begins with "I".

  • Conceit is the enemy to progress.
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Contact Me

 

          View Huayi Li's profile on LinkedIn
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