Presentation

[P23] "AMOS: An Automated Model Order Selection Algorithm for Spectral Graph Clustering", Annual Machine Learning Symposium, The New York Academy of Science, Mar. 2017 <LINK><slides>

[P22] "Multilayer Spectral Graph Clustering via Convex Layer Aggregation", IEEE Global Conference on Signal and Information Precessing (GlobalSIP), Dec. 2016 <LINK><slides>

[P21] "Multi-Centrality Graph Spectral Decompositions and Their Application to Cyber Intrusion Detection", Consortium for Verification Technology (CVT) Workshop, Oct. 2016 <slides>

[P20] "Graph Data Analytics for Data Science and Cyber Security", National Taiwan University & National Chiao Tung University, Taiwan, Oct. 2016  <LINK>

[P19] "Analysis and Actions on Graph Data", Graduate Student Statistical Topics Seminar, University of Michigan Ann Arbor, Sep. 2016 <LINK>

[P18] "Incremental Method for Spectral Clustering of Increasing Orders", Contributed Talk at KDD workshop on Mining and Learning with Graphs (MLG), Aug. 2016 <LINK><video>

[P17] "Phase Transitions and a Model Order Selection Criterion for Spectral Graph Clustering", Graph Signal Processing Workshop, May 2016 <LINK>

[P16] "Graph Data Analytics for Data Science and Cyber Security", Research Presentation at King Abdullah University of Science & Technology (KAUST), Apr. 2016 <LINK>

[P15] "AMOS: A Model Order Selection Criterion for Spectral Graph Clustering", Michigan Student Symposium for Interdisciplinary Statistical Sciences (MSSISS), University of Michigan, Mar. 2016
(selected for oral presentation <LINK>)

[P14] "Graph Data Analytics for Data Science and Cyber Security", IBM T. J. Watson Research Center, Mar. 2016 <LINK>

[P13] "Graph Data Analytics for Data Science and Cyber Security", Grad-Day presentation, Information Theory and Applications Workshop (ITA), Jan. 2016 <LINK>

[P12] "Graph Data Analytics for Data Science and Cyber Security", Research Presentation at Nanyang Technological University (NTU), Jan. 2016

[P11] "Analysis and Actions on Graph Data", guest lecture for EECS598: Graph Mining and Exploration at Scale: Methods and Applications, University of Michigan, Dec. 2015  <LINK>

[P10] "Embracing Data Science with Graph Mining: Action Recommendations for Cyber Security, Clustering, and Beyond", Engineering Graduate Symposiums (EGS), University of Michigan, Oct. 2015

[P9] "Embracing Data Science with Graph Mining: Action Recommendations for Cyber Security, Clustering, and Beyond", From Industrial Statistics to Data Science, a conference in honor of Vijay Nair, Oct. 2015 <LINK>

[P8] "Action Recommendations for Cyber Resilience", Pacific Northwest National Laboratory, Aug. 2015 <LINK>

[P7] "Phase Transitions in Spectral Community Detection of Large Noisy Networks", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr. 2015  <LINK>

[P6] "Phase Transitions in Spectral Community Detection of Large Noisy Networks", student signal processing eecs seminar (SPeecs), University of Michigan, Apr. 2015  <LINK>

[P5] "Universal Phase Transitions of Spectral Algorithms for Community Detection", Annual University of Michigan SIAM Student Conference, University of Michigan, Apr. 2015  <LINK>

[P4] "Universal Phase Transitions of Spectral Algorithms for Community Detection", Michigan Student Symposium for Interdisciplinary Statistical Sciences (MSSISS), University of Michigan, Mar. 2015
(selected for oral presentation <LINK>)

[P3] "Universal Phase Transitions of Spectral Algorithms for Community Detection", Engineering Graduate Symposiums (EGS), University of Michigan, 2014

[P2] "Deep and Overlapping Community Detection Using Local Fiedler Vector Centrality", Engineering Graduate Symposiums (EGS), University of Michigan, 2013

[P1] "Information Dynamics in Complex Networks", Tutorial at Graduate Institute of Communications Engineering (GICE), National Taiwan University, Aug. 2012