Only tutorials or invited talks are listed. Posters or slides of conference presentations can be found in "Publication"

  • "How CLEVER is your neural network? Robustness evaluation against adversarial examples", O’Reilly AI Conference, London, Oct. 2018 & MIT Guest Lecture, Nov. 2018 <LINK> <slides>
  • “Fantastic Adversarial Examples and Where to Find Them” in Taiwan, National Chung Hsing Univ. (中興大學), Feng Chia Univ. (逢甲大學), National Taiwan Univ. of Science and Technology (台灣科技大學), National Taiwan Univ. (台灣大學), National Chiao Tung Univ. (交通大學), Dec. 2017
  • "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>
  • "Multi-Centrality Graph Spectral Decompositions and Their Application to Cyber Intrusion Detection", Consortium for Verification Technology (CVT) Workshop, Oct. 2016 <slides> <video>
  • "Graph Data Analytics for Data Science and Cyber Security", National Taiwan University & National Chiao Tung University, Taiwan, Oct. 2016 <LINK>
  • "Analysis and Actions on Graph Data", Graduate Student Statistical Topics Seminar, University of Michigan Ann Arbor, Sep. 2016 <LINK>
  • "Phase Transitions and a Model Order Selection Criterion for Spectral Graph Clustering", Graph Signal Processing Workshop, May 2016 <LINK>
  • "Graph Data Analytics for Data Science and Cyber Security", Research Presentation at King Abdullah University of Science & Technology (KAUST), Apr. 2016 <LINK>
  • "AMOS: A Model Order Selection Criterion for Spectral Graph Clustering", Michigan Student Symposium for Interdisciplinary Statistical Sciences (MSSISS), University of Michigan, Mar. 2016
  • "Graph Data Analytics for Data Science and Cyber Security", IBM T. J. Watson Research Center, Mar. 2016 <LINK>
  • "Graph Data Analytics for Data Science and Cyber Security", Grad-Day presentation, Information Theory and Applications Workshop (ITA), Jan. 2016 <LINK> <video>
  • "Graph Data Analytics for Data Science and Cyber Security", Research Presentation at Nanyang Technological University (NTU), Jan. 2016
  • "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>
  • "Embracing Data Science with Graph Mining: Action Recommendations for Cyber Security, Clustering, and Beyond", Engineering Graduate Symposiums (EGS), University of Michigan, Oct. 2015
  • "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>
  • "Action Recommendations for Cyber Resilience", Pacific Northwest National Laboratory, Aug. 2015 <LINK>
  • "Universal Phase Transitions of Spectral Algorithms for Community Detection", Annual University of Michigan SIAM Student Conference, University of Michigan, Apr. 2015 <LINK>
  • "Universal Phase Transitions of Spectral Algorithms for Community Detection", Michigan Student Symposium for Interdisciplinary Statistical Sciences (MSSISS), University of Michigan, Mar. 2015
  • "Universal Phase Transitions of Spectral Algorithms for Community Detection", Engineering Graduate Symposiums (EGS), University of Michigan, 2014
  • "Deep and Overlapping Community Detection Using Local Fiedler Vector Centrality", Engineering Graduate Symposiums (EGS), University of Michigan, 2013
  • "Information Dynamics in Complex Networks", Tutorial at Graduate Institute of Communications Engineering (GICE), National Taiwan University, Aug. 2012