Xin Liu 劉昕

1st year Ph.D. Student

Knowledge Computation Group

Department of Computer Science and Engineering

The Hong Kong University of Science and Technology

Clearwater Bay, Kowloon, Hong Kong

E-mail: xliucr [AT] cse [dot] ust [dot] hk

My Google Scholar, GitHub, Linkedin, and CV(May, 2019)


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Biography

I am a 1st year Ph.D student at Department of Computer Science and Engineering, the Hong Kong University of Science and Technology, supervised by Prof. Yangqiu Song. Before that, I received my B.E. degree at School of Data and Computer Science, Sun Yat-sen University in June 2018, supervised by Prof. Rong Pan. I was an intern at Cloud & Mobile Group, Microsoft Research Asia from June 2017 to December 2017, and my mentor was Dr. Liang Jeff Chen.

Research Interests

  • Text Mining
  • Natural Language Understanding
  • Knowledge Graph

Topics in progress
  • New Kind of Knowledge Graph Construction and Application
Previous topics:
  • OpenIE
  • Hierarchical Classification
  • Social Regularization for Word Embeddings
  • Wikipedia Retrieval and Machine Comprehension Question Answering
  • Graph Database

Publications  

* means equal contribution.

Conference Publications

  1. Yan Liang, Xin Liu, Jianwen Zhang, and Yangqiu Song. Relation Discovery with Out-of-Relation Knowledge Base as Supervision. In Annual Conference of the North American Chapter of the Association for Computational Linguistics : Human Language Technologies (NAACL-HLT), 2019. [pdf] [code]
  2. Ziqian Zeng, Wenxuan Zhou, Xin Liu, and Yangqiu Song. A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification. In Annual Conference of the North American Chapter of the Association for Computational Linguistics : Human Language Technologies (NAACL-HLT), 2019. [pdf] [code]
  3. Huiru Xiao, Xin Liu, and Yangqiu Song. Efficient Path Prediction for Semi-Supervised and Weakly Supervised Hierarchical Text Classification. In World Wide Web Conference (WWW), 2019 (Short Paper). [pdf] [code]
  4. Ziqian Zeng*, Xin Liu*, and Yangqiu Song. Biased RandomWalk based Social Regularization for Word Embeddings. In International Joint Conference on Artificial Intelligence (IJCAI), 2018. [pdf] [code]

Preprint Papers

  1. Hongming Zhang*, Xin Liu*, Haojie Pan*, Yangqiu Song, Cane Wing-Ki Leung. ASER: A Large-scale Eventuality Knowledge Graph. In arXiv, 2019. [pdf] [code]

Awards

  • IJCAI Travel Grant (2018)
  • Outstanding Graduate (SYSU, 2018)
  • Outstanding Graduate Thesis (SYSU, 2018)
  • National Scholarships (SYSU, 2015, 2016 and 2017)
  • Top 10, Tencent Social Advertising College Algorithm Competition (2017 and 2018)
  • The First Prize, Guangdong Collegiate Programming Contest (2018)

Working Experience

  • Knowledge Computation Group, the Hong Kong University of Science and Technology (Jan. 2018 - July 2018)
  • Cloud & Mobile Group, Microsoft Research Asia (June 2017 - Dec. 2017)

Volunteer Experience

  • Studnet Volunteer, IJCAI Conference (Stockholm, 2018)
  • Excellent Volunteer, Baidu World Conference (Beijing, 2016)

Teaching Experience

  • COMP4332/RMBI4310: Big Data Mining. (Spring 2019)
  • COMP4901K/MATH4824B: Machine Learning for Natural Language Processing. (Fall 2018)