Liangzhe Chen

Education

PhD in Computer Science, Virginia Tech, USA, 2012-2018 (thesis) (resume)

Bechalor Degree in Computer Science, Shanghai Jiao Tong University, China, 2008-2012

Interests

Broadly interested in the area of machine learning and data mining, its possibilities, boundaries and opportunities.

I worked on many interesting problems, like latent health state modeling for Twitter users, tweets classification and visualization for disaster control, vulnerability analysis and failure cascade modeling in critical infrastructure systems, Ads ranking & recommendations, etc.

Publications

1. Joint Post and Link-level Influence Modeling on Social Media [PDF]
   Liangzhe Chen and B. Aditya Prakash, in SDM, 2019

2. Efficiently Summarizing Attributed Diffusion Networks
   Sorour E. Amiri, Liangzhe Chen and B. Aditya Prakash, in DAMI, 2018

3. Automatic Segmentation of Data Sequences
   Liangzhe Chen, Sorour E. Amiri and B. Aditya Prakash, in AAAI, 2018

4. Automatic Segmentation of Dynamic Network Sequences with Node Labels
   Sorour E. Amiri, Liangzhe Chen and B. Aditya Prakash, in TKDE, 2017

5. HotSpots: Failure Cascades on Heterogeneous Critical Infrastructure Networks [PDF]
   Liangzhe Chen, Xinfeng Xu, Sangkeun Lee, Sisi Duan, Alfonso G. Tarditi, Supriya Chinthavali and B. Aditya Prakash, in CIKM, 2017

6. ANeTS: Efficient Summarization of Large Attributed Networks
   Sorour E. Amiri, Liangzhe Chen and B. Aditya Prakash, in ICDMW, 2017

7. SnapNETS: Automatic Segmentation of Network Sequences with Node Labels [PDF][Resources][Slides]
   Sorour E. Amiri, Liangzhe Chen and B. Aditya Prakash, in AAAI, 2017

8. URBAN-NET: A Network-based Infrastructure Monitoring and Analysis System for Emergency Management and Public Safety [PDF]
   Sangkeun Lee, Liangzhe Chen, Sisi Duan, Supriya Chinthavali, Mallikarjun Shankar and B. Aditya Prakash
   in IEEE Big Data Workshop, 2016

9. Segmenting Sequences of Node-labeled Graphs [PDF][Resources][Slides]
   Sorour E. Amiri, Liangzhe Chen and B. Aditya Prakash, in IEEE ICDMW, 2016

10. Syndromic Surveillance of Flu on Twitter Using Weakly Supervised Temporal Topic Models [PDF]
    Liangzhe Chen, K. S. M. Tozammel Hossain, Patrick Butler, Naren Ramakrishnan and B. Aditya Prakash
    in Data Mining and Knowledge Discovery Journal (DAMI), Springer. 2015

11. Flu Gone Viral: Modeling Flu on Twitter using Temporal Topic Models [PDF][Resources][Slides]
    Liangzhe Chen, K. S. M. Tozammel Hossain, Patrick Butler, Naren Ramakrishnan and B. Aditya Prakash
    in IEEE ICDM 2014, Shenzhen

12. PhaseVis: What, When, Where,and Who in Visualizing the Four Phases of Emergency Management Through the Lens of Social Media [PDF]
    Seungwon Yang, Haeyong Chung, Xiao Lin, Sunshin Lee, Liangzhe Chen, Andrew Wood, Andrea L. Kavanaugh, Steven D. Sheets, Donald J. Shoemaker, Edward A. Fox in ISCRAM 2013

Tutorials

1. Data Mining Critical Infrastructure Systems--Models and Tools [Link]
   Liangzhe Chen and B. Aditya Prakash
   Tutorial at SIAM SDM 2018, San Diego

Invited Articles

1. Data Mining Critical Infrastructure Systems: Models and Tools
   Anika Tabassum, Supriya Chinthavali, Liangzhe Chen and B. Aditya Prakash, in IEEE Intelligent Informatics Bulletin (IIB), Dec 2018 Issue

Posters and Presentations

1. HotSpots: Failure Cascades on Heterogeneous Critical Infrastructure Networks
   at International Conference on Information and Knowledge Management (CIKM 2017), singapore

2. Segmenting, Summarizing, and Analyzing General Data Sequences
   at SIAM International Conference on Data Mining (SDM 2017) Doctoral Forum, Houston, TX (Poster)

3. Mining Temporal Data Sequences for Flu-Count Prediction and Other Applications
   at Biomedical Science and Engineering Conference (BSEC 2015), Oak Ridge, TN (Poster)

4. Flu Gone Viral: Syndromic Surveillance of Flu on Twitter using Temporal Topic Models
   at IEEE Interna- tional Conference on Data Mining (ICDM 2014), Shenzhen, China