Xuan Lu (陆璇)

I am a Research Fellow in the School of Information at the University of Michigan. I work with Prof. Qiaozhu Mei in the Foreseer Group.

I was fortunate to be advised by Prof. Hong Mei and Prof. Xuanzhe Liu and received my Ph.D. from Peking University.

Email: luxuan AT umich DOT edu


Education

  • 2016-2019, Ph.D. student, in Computer Science, Peking University
  • 2013-2016, Master student (advisor: Prof. Xuanzhe Liu), in Computer Science, Peking University
  • 2010-2013, B.A. in Economics (dual degree), Peking University
  • 2009-2013, B.S. in Computer Science, Peking University

  • Research Interests

    Large-scale behavior data analysis; Emoji; Mobile app ecosystem


    Publications

    [Google Scholar, DBLP]

    2020

  • [j9] Huoran Li, Fuqi Lin, Xuan Lu, Chenren Xu, Gang Huang, Jun Zhang, Qiaozhu Mei, Xuanzhe Liu. Systematic Analysis of Fine-Grained Mobility Prediction with On-Device Contextual Data. IEEE Transactions on Mobile Computing, accepted to appear, 2020.
  • [j8] Xiaoling Xiang, Xuan Lu, Alex Halavanau, Jia Xue, Yihang Sun, Patrick Ho Lam Lai, Zhenke Wu. Modern Senicide in the Face of a Pandemic: An Examination of Public Discourse and Sentiment about Older Adults and COVID-19 Using Machine Learning. The Journals of Gerontology: Series B.
  • [j7] Zhenpeng Chen, Yanbin Cao, Huihan Yao, Xuan Lu, Xin Peng, Hong Mei, Xuanzhe Liu. Emoji-Powered Sentiment and Emotion Detection from Software Developers’ Communication Data. ACM Transactions on Software Engineering and Methodology, accepted to appear, 2020.
  • [c12] Zhenpeng Chen, Sheng Shen, Ziniu Hu, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu. Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification (Extended Abstract). In Proceedings of The 29th International Joint Conference on Artificial Intelligence, (IJCAI'20), pp.4701-4705, Yokohama, Japan, July 11-17, 2020. (Invited paper, an abridged version of our WWW'19 paper).
  • 2019

  • [c11] Zhenpeng Chen, Yanbin Cao, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu. SEntiMoji: An Emoji-Powered Learning Approach for Sentiment Analysis in Software Engineering. In Proceedings of the 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, (ESEC/FSE'19), pp.841-852, Tallinn, Estonia, Aug. 26-30, 2019.
  • [c10] Zhenpeng Chen, Sheng Shen, Ziniu Hu, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu. Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification. In Proceedings of the Web Conference 2019, (WWW'19), pp.251-262, San Francisco, USA, May 13-17, 2019. 🏆Best Full Paper Award!
  • [j6] Gang Huang, Xuanzhe Liu, Yun Ma, Xuan Lu, Ying Zhang, Yingfei Xiong. Programming Situational Mobile Web Applications with Cloud-Mobile Convergence: An Internetware-Oriented Approach. IEEE Transactions on Services Computing, (TSC'19), 2019, 12(1):6-19.
  • 2018

  • [c9] Zhenpeng Chen, Xuan Lu, Wei Ai, Huoran Li, Qiaozhu Mei, Xuanzhe Liu. Through a Gender Lens: Learning Usage Patterns of Emojis from Large-Scale Android Users. In Proceedings of the Web Conference 2018, (WWW'18), pp. 763-772, Lyon, France, Apr. 23-27, 2018.
  • [j5] Lili Wei, Yepang Liu, Shing-Chi Cheung, Huaxun Huang, Xuan Lu, Xuanzhe Liu. Understanding and detecting fragmentation-induced compatibility issues for android apps. IEEE Transactions on Software Engineering, (TSE'18), 2018.
  • [j4] Xuanzhe Liu, Huoran Li, Xuan Lu, Tao Xie, Qiaozhu Mei, Feng Feng, and Hong Mei. Understanding Diverse Usage Patterns from Large-Scale Appstore-Service Profiles. IEEE Transactions on Software Engineering, (TSE'18), 2018, 44(4):384-411.
  • 2017

  • [j3] Zhenpeng Chen, Xuan Lu, Huoran Li, Xuanzhe Liu: User Preferences Prediction Based on Multidimensional Features of Apps. Journal of Frontiers of Computer Science and Technology, 2017, 11(9):1405-1417.
  • [c8] Sheng Shen, Xuan Lu, Ziniu Hu, Xuanzhe Liu. Towards Release Strategy Optimization for Apps in Google Play. In Proceedings of the Ninth Asia-Pacific Symposium on Internetware, (Internetware'17).
  • [c7] Xuan Lu, Zhenpeng Chen, Xuanzhe Liu, Huoran Li, Tao Xie, Qiaozhu Mei. PRADO: Predicting App Adoption by Learning the Correlation between Developer-Controllable Properties and User Behaviors. In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (invited to present on the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp'17), September 2017, 1(3):79:1--79:30.
  • [c6] Wei Ai, Xuan Lu, Xuanzhe Liu, Ning Wang, Gang Huang, Qiaozhu Mei. Untangling Emoji Popularity through Semantic Embeddings. In Proceedings of the 11th International AAAI Conference on Web and Social Media, (ICWSM'17), pp. 2-11, Montreal, Canada, May 15-18, 2017.
  • 2016

  • [c5] Xuan Lu, Wei Ai, Xuanzhe Liu, Qian Li, Qiaozhu Mei, Ning Wang, Gang Huang.Learning from the Ubiquitous Language: An Empirical Analysis of Emoji Usage of Smartphone Users. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, (UbiComp'16), pp. 770-780, Heidelberg, Germany, Sep. 12-16, 2016.
  • [c4] Xuan Lu, Xuanzhe Liu, Huoran Li, Tao Xie, Dan Hao, Qiaozhu Mei, Gang Huang, Feng Feng. Mining Usage Data from Large-Scale Android Users: Challenges and Opportunities. In Proceedings of the 3rd ACM International Conference on Mobile Software Engineering and Systems, (MobileSoft'16), pp. 301-302, Austin, TX, USA, May 14-22, 2016.
  • [c3] Xuan Lu, Xuanzhe Liu, Huoran Li, Tao Xie, Dan Hao, Qiaozhu Mei, Gang Huang, Feng Feng. PRADA: Prioritizing Android Devices for Apps by Mining Large-Scale Usage Data. In Proceedings of 38th International Conference on Software Engineering, (ICSE'16), pp. 3-13, Austin, TX, USA, May 14-22, 2016.
  • 2015

  • [c2] Huoran Li, Xuan Lu, Xuanzhe Liu, Tao Xie, Kaigui Bian, Felix Xiaozhu Lin, Qiaozhu Mei, and Feng Feng. Characterizing Smartphone Usage Patterns from Millions of Android Users. In Proceedings of the 2015 ACM SigCOMM/SigMetircs Internet Measurement Conference, (IMC'15), pp. 459-472, Tokyo, Japan, Oct. 28-30, 2015.
  • [j2] Gang Huang, Yun Ma, Xuanzhe Liu, Yuchong Luo, Xuan Lu, M. Brian Blake. Model-Based Automated Navigation and Composition of Complex Service Mashups. IEEE Transactions on Services Computing, (TSC'15). 2015, 8(3): 494-506.
  • 2014

  • [c1] Yun Ma, Xuan Lu, Yuchong Luo, Xuanzhe Liu. A Graph-Based Approach to Assisting Creation of Mobile Web Applications. In Proceedings of the International Conference on Web Services, (ICWS'14), pp. 728-729, AK, USA, Jun 27-Jul 2, 2014.
  • 2013

  • [j1] Yun Ma, Xuan Lu, Xuanzhe Liu, Xudong Wang, M. Brian Blake. Data-driven Synthesis of Multiple Recommendation Patterns to Create Situational Web Mashups. SCIENCE CHINA Information Sciences. 2013, 56(8): 1-16.

  • Academic Services

  • PC member, the 14th ACM International WSDM Conference (WSDM, 2021)
  • Reviewer for Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT, 2018)
  • External reviewer for ACM SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2017, 2018, 2019)
  • External reviewer for International Conference on Mining Software Repositories (MSR 2017)

  • Honors and Awards

  • 2018, Yang Fuqing & Wang Yangyuan Academician Scholarship, Peking University
  • 2017, Microsoft Research Asia Fellowship Award, Microsoft Research Asia
  • 2017, National Scholarship, Ministry of Education
  • 2016, Lee Wai Wing Scholarship, Peking University
  • 2015, Excellent Research Award, Peking University
  • 2014, Suzhou Industrial Park Scholarship, Peking University
  • 2013, Outstanding Graduate of Beijing
  • 2013, Outstanding Graduate of Peking University
  • 2012, National Scholarship, Ministry of Education
  • 2011, Outstanding Student Leader of Peking University
  • 2010, Suzhou Industrial Park Scholarship, Peking University