Wei Wei

weiwei@cs.cmu.edu

School of Computer Science
Carnegie Mellon University
Pittsburgh, PA, 15213

Bio

I completed my Ph.D. from the School of Computer Science at Carnegie Mellon University. I am now working in the CloudAI research group at Google. My research interest is machine learning and its applications on natural language understanding and data mining.

Publications

[1] Wei Wei, Kennth Joseph, and Kathleen M. Carley. Efficient online inference for in- finite evolutionary cluster models with applications to latent social event discovery. arXiv preprint, 2017.

[2] Wei Wei, Kennth Joseph, and Kathleen M. Carley. Unified non-parametric models to infer latent social events on multiple domains. arXiv preprint, 2017.

[3] Yujie Qian, Jie Tang, Zhilin Yang, Binxuan Huang, Wei Wei, and Kathleen M Carley. A probabilistic framework for location inference from social media. arXiv preprint arXiv:1702.07281, 2017.

[4] Zhang Yu, Wei Wei, Binxuan Huang, Kathleen M. Carley, and Yan Zhang. Rate: Overcoming the noise and sparsity of textual features in real-time location esti- mation. In Proceedings of the 26th ACM International Conference on Information and Knowledge Management (CIKM’2017), 2017.

[5] Aman Ahuja, Wei Wei, Chandan Reddy, Wei Lu, and Kathleen M. Carley. A proba- bilistic geographical aspect-opinion model for geo-tagged microblogs. In Proceedings of the IEEE 17th International Conference on Data Mining (ICDM’2017), 2017.

[6] Rui Liu, Junjie Hu, Wei Wei, Zi Yang, and Eric Nyberg. Structural embedding of syntactic trees for machine comprehension. In Proceedings of the 2017 Conference on Empirical Methods on Natural Language Processing (EMNLP’2017), 2017.

[7] Kennth Joseph, Wei Wei, and Kathleen M. Carley. Girls rule, boys drool: Extracting semantic and affective stereotypes on twitter. In Proceedings of the 20th ACM Con- ference on Computer-Supported Cooperative Work and Social Computing (CSCW’ 2017), 2017.

[8] Wei Wei. Probabilistic Models of Topics and Social Events. PhD thesis, School of Com- puter Science, Carnegie Mellon University, 2016.

[9] Aman Ahuja, Wei Wei, and Kathleen M. Carley. Social media sentiment topic model. In Proceedings of the IEEE International Conference on Data Mining (ICDM’16) SoMeRis workshop, 2016.

[10] Kennth Joseph, Wei Wei, and Kathleen M. Carley. Exploring patterns of identity usage in tweets: a new problem, solution and case study. In Proceedings of the 25th International Conference on World Wide Web (WWW’2016), 2016.

[11] Peter M Landwehr, Wei Wei, Michael Kowalchuck, and Kathleen M Carley. Using tweets to support disaster planning, warning and response. Journal of Safety science, 90:33–47, 2016.

[12] Kenneth Joseph, Wei Wei, Matthew Benigni, and Kathleen M Carley. A social-event based approach to sentiment analysis of identities and behaviors in text. Journal of Mathematical Sociology, 40(3):137–166, 2016.

[13] Wei Wei, Kenneth Joseph, Huan Liu, and Kathleen M Carley. Exploring character- istics of suspended users and network stability on twitter. Journal of Social network analysis and mining (SNAM), 6(1):51, 2016.

[14] Aman Ahuja, Wei Wei, and Kathleen M Carley. Topic modeling in large scale social network data. Technical Report CMU-ISR-15-108, Carnegie Mellon University, 2015.

[15] Tanmay Sinha, Wei Wei, and Kathleen Carley. Modeling similarity in incentivized interaction: A longitudinal case study of stackoverflow. In Proceedings of the 29th Annual International Conference on Neural Information and Processing Systems (NIPS’2015) Workshop on Social and Information Networks, 2015.

[16] Wei Wei, Kenny Joseph, Huan Liu, and Kathleen M. Carley. The fragility of twitter social networks against suspended users. In Proceedings of IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM’2015), 2015.

[17] Arun Kalyanasundaram, Wei Wei, Kathleen M. Carley, and James D. Herbsleb. An agent-based model of edit wars in wikipedia: How and when is consensus reached. In Proceedings of the conference on Winter simulation (WSC’2015), 2015.

[18] Wei Wei and Kathleen M. Carley. Measuring temporal patterns in dynamic social networks. ACM Transactions on Knowledge Discovery from Data (TKDD), 2015.

[19] Wei Wei, Kenny Joseph, Lo Wei, and Kathleen M. Carley. A Bayesian graphical model to discover latent events from twitter. In Proceedings of the 9th The International AAAI Conference on Web and Social Media (ICWSM’2015), 2015.

[20] Kathleen M. Carley, Wei Wei, and Kenneth Joseph. High dimensional network analysis. In Big Data Over Networks, Robert Cui (Eds). Cambridge University Press, 2015.

[21] Wei Wei and Kathleen Carley. Real time closeness and betweenness centrality calculations on streaming network data. In Proceedings of the Sixth ASE International Conference on Social Computing (SocialCom’2014). ASE, 2014.

[22] Kenneth Joseph, Wei Wei, and Kathleen M Carley. An agent-based model for simultaneous phone and sms traffic over time. In Proceedings of the 2013 International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction (SBP’2013), pages 65–74. Springer, 2013.

[23] Wei Wei, Jürgen Pfeffer, Jeffrey Reminga, and Kathleen M Carley. Handling weighted, asymmetric, self-looped, and disconnected networks in ora. Technical Report CMU-ISR-11-113, Carnegie Mellon University, 2011.

[24] Wei Chen, Alex Collins, Rachel Cummings, Te Ke, Zhenming Liu, David Rincon, Xiaorui Sun, Yajun Wang, Wei Wei, and Yifei Yuan. Influence maximization in social networks when negative opinions may emerge and propagate. In Proceedings of the 11th SIAM International Conference on Data Mining (SDM’2011), pages 379–390. SIAM, 2011.

[25] Wei Chen, Alex Collins, Rachel Cummings, Te Ke, Zhenming Liu, David Rincon, Xiaorui Sun, Yajun Wang, Wei Wei, and Yifei Yuan. Msr-tr-2010-137 october 2010. 2010.

[26] Wei Chen, Alex Collins, Rachel Cummings, Te Ke, Zhenming Liu, David Rincon, Xiaorui Sun, Yajun Wang, Wei Wei, and Yifei Yuan. Influence maximization in social networks when negative opinions may emerge and propagate. Technical report, Microsoft Resarch, 2010.