About Me

This summer I am internining at Etsy in Brooklyn with Dr. Liangjie Hong.

I am currently a PhD student at Arizona State University. My advisor is Professor Huan Liu. Before I joined ASU, I obtained my master's degree from Chinese Academy of Sciences in 2014 and my bachelor's degree from Beijing University of Posts and Telecom in 2011.

Media [show/hide]

Software

TweetTracker | Geospatial Twitter Data Visualization | SlangSD: Slang Sentiment Dictionary

Publications

Tutorials

  • Liang Wu, Fred Morstatter, Huan Liu, Misinformation in Social Media: Diffusion, Detection and Intervention., SBP-BRIMS 2016 Tutorial. Link PDF

    The blog article on KDNuggets introduces the key terms about mining misinformation.

Book Chapters

  • Liang Wu, Huan Liu, Detecting Crowdturfing in Social Media, To appear in Encyclopedia of Social Network Analysis and Mining, Springer, 2016. PDF

  • Liang Wu, Fred Morstatter, Xia Hu, Huan Liu, Mining Misinformation in Social Media, Big Data in Complex and Social Networks, CRC Press, 2016. 123-152. PDF

Conference Papers

  • Liang Wu, Xia Hu, Fred Morstatter, Huan Liu, Adaptive Spammer Detection with Sparse Group Modeling. The 11th International AAAI Conference on Web and Social Media (ICWSM 2017), May 15-18, 2017. Montreal, Canada. PDF

  • Liang Wu, Xia Hu, Huan Liu, Early Identification of Personalized Trending Topics in Microblogging, poster paper. The 11th International AAAI Conference on Web and Social Media (ICWSM 2017), May 15-18, 2017. Montreal, Canada. PDF

  • Liang Wu, Xia Hu, Fred Morstatter, Huan Liu. Detecting Camouflaged Content Polluters, poster paper. The 11th International AAAI Conference on Web and Social Media (ICWSM 2017), May 15-18, 2017. Montreal, Canada. PDF

  • Liang Wu, Jundong Li, Xia Hu, Huan Liu, Gleaning Wisdom from the Past: Early Detection of Emerging Rumors in Social Media, accepted by SIAM International Conference on Data Mining (SDM 2017). PDF

  • Liang Wu, Xia Hu, Huan Liu, Relational Learning with Social Status Analysis, The 9th International Conference on Web Search and Data Mining (WSDM 2016). PDF Slides

  • Liang Wu, Liang Du, Bo Liu, Guandong Xu, Yong Ge, Yanjie Fu, Jianhui Li, Yuanchun Zhou and Hui Xiong, Heterogeneous Metric Learning with Content-based Regularization for Software Artifact Retrieval, in Proceedings of the IEEE International Conference on Data Mining (ICDM 2014).

  • Liang Wu, Alvin Chin, Guandong Xu, Liang Du, Xia Wang, Kangjian Meng, Yonggang Guo, and Yuanchun Zhou, Who Will Follow Your Shop? Exploiting Multiple Information Sources in Finding Followers, in Proceedings of 18th International Conference on Database Systems for Advanced Applications (DASFAA 2013).

  • Liang Wu, Yuanchun Zhou, Fei Tan, Fenglei Yang, and Jianhui Li, Generating Syntactic Tree Templates for Feature-based Opinion Mining, in Proceedings of 7th International Conference on Advanced Data Mining and Applications (ADMA 2011).

  • Jundong Li, Liang Wu, Osmar R. Zaïane, and Huan Liu, Toward Personalized Relational Learning , to appear in SIAM International Conference on Data Mining (SDM 2017).

  • Justin Sampson, Fred Morstatter, Liang Wu, and Huan Liu, Leveraging the Implicit Structure within Social Media for Emergent Rumor Detection, in Proceedings of 25th ACM International Conference on Information and Knowledge Management (CIKM 2016).

  • Fred Morstatter, Liang Wu, Tahora H. Nazer, Kathleen M. Carley, and Huan Liu, Bot Detection: The Importance of Recall, in Proceedings of 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2016).

  • Jundong Li, Xia Hu, Liang Wu, and Huan Liu, Robust Unsupervised Feature Selection on Networked Data, in Proceedings of SIAM International Conference on Data Mining (SDM 2016).

Journal Papers

  • Yuanchun Zhou, Mingjie Tang, Weike Pan, Jinyan Li, Weihang Wang, Jing Shao, Liang Wu, Jianhui Li, Qiang Yang, Baoping Yan, Bird Flu Outbreak Prediction via Satellite Tracking, IEEE Intelligent Systems, 2014.

  • Yuwei Wang, Yuanchun Zhou, Ying Liu, Ze Luo, Danhuai Guo, Jing Shao, Fei Tan, Liang Wu, Jianhui Li, Baoping Yan, A grid-based clustering algorithm for wild bird distribution, Frontiers of Computer Science, 2013.

Posters and Workshop Papers

  • Liang Wu, Early Detection of Misinformation in Social Media, Doctoral Forum, SIAM International Conference on Data Mining (SDM 2017).

  • Liang Wu, Fred Morstatter, Daniel J. Baird, Justin Sampson, Kai Shu, and Huan Liu, Integrating Interactive and Computational Approaches for News Understanding, SBP Grand Data Challenge, International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction (SBP 2016).

  • Liang Wu, Bin Cao, Yuanchun Zhou, Jianhui Li, Improving Query Suggestion through Noise Filtering and Query Length Prediction, WWW (Companion Volume) 2014.

  • Bo Liu, Liang Wu, Jianqiang Li, Ji-Jiang Yang, Exploiting Incremental Reasoning in Healthcare Based on Hadoop and Amazon Cloud, Workshops at AAAI 2014.

Projects

TweetTracker 2.0

I led the efforts to revamp TweetTracker with Shobhit Sharma (front-end development), Ashutosh Bhadke (back-end development) and Kunal Bansal (system integration).

Geospatial Tweet Data Visualization

I led a capstone project to build an interactive explorer of tweets with Corey Mcneish and Christina Wilmot (data analysis), Raquel Lippincott and Spencer Graf (data visualization), Matthew Gross and Philip Terzic (data crawling).

Awards

ASU Teaching Excellence Award Nomination, 2014

Honorable Mention Award of KDD Cup 2012, Third Place on Track 2 Leaderboard

SDM'17, WSDM'16, ICDM'14 Student Travel Award

Professional Experience

Research Intern in Nokia Research Center, Microsoft Research Asia, and NEC Labs China.

If you find work that interests you, or want to collaborate, feel free to contact me by phone or email.

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