Pin-Yu Chen
                            Research Scientist, AI Foundations Group
    IBM Thomas J. Watson Research Center 
        contact: at (primary reviewer account)   
pin-yu.chen at
                      Link to my   CV      google scholar profile      academic activities         

I am currently a postdoctoral researcher in the AI Foundations Group, IBM Thomas J. Watson Research Center. My recent research focus has been on adversarial learning toward the robustness of deep neural networks. My research interest includes graph and network data analytics and their applications to data mining, machine learning, artificial intelligence, and cyber security.
I received my Ph.D. degree in electrical engineering and computer science (EECS) and M.A. degree in Statistics from the University of Michigan Ann Arbor in 2016, under the supervision of Prof. Alfred Hero.

Research Interests
  • Graph and Network Analytics: spectral graph theory and algorithms, graph signal processing, community detection, graph clustering, event propagation and control in networks, complex network
  • Machine Learning: adversarial learning, online and distributed learning, unsupervised and semi-supervised learning on graphs
  • Cyber Security: attack and defense models, action recommendations for network resilience, malware propagation models

  • Pacific Northwest National Laboratory (PNNL) - Data Science PhD Intern 
    1. action recommendations for real-time service degradation attacks
    • user segmentation and host hardening against lateral movement attacks

Awards and Honors
  • IEEE GlobalSIP 2016 Student Travel Grant
  • ACM KDD 2016 Student Travel Award
  • NSF Graph Signal Processing Workshop Travel Grant (2016) 
  • IEEE Security and Privacy (S&P) Symposium 2016 Student Travel Grant 
  • Outstanding Performance Award at Pacific Northwest National Laboratory (2015)
  • IEEE ICASSP 2015 Signal Processing Society (SPS) Travel Grant
  • IEEE ICASSP 2014 National Science Foundation (NSF) Travel Grant
  • Rackham International Student Fellowship (Chia-Lun Lo Fellowship) (2013-2014) <Link>
  • Member of Tau Beta Pi (TBP) and Phi Kappa Phi (PKP) Honor Society (2013-present)
  • EE:Systems Fellowship, University of Michigan, Ann Arbor (2012-2013)
  • Best Master Thesis Award of GICE, NTU (2011)
  • Second Best Master Thesis Award of Chinese Institute of Electrical Engineering (2011)
  • IEEE GLOBECOM GOLD Best Paper Award (2010) <Link>
  • Elite Scholarship from GICE, NTU (2010-2011)
  • Tokyo Electron Scholarship (2008)
  • Golden Bamboo Scholarship from NCTU (2005)
  • Ranked 1st Place (Full Scores) in Taiwan National College Entrance Exam (2005)

Selected Publications
      Adversarial Learning and Robustness of Neural Networks
      Cyber Security, Network Resilience
      Graph and Network Data Analytics
      Event Propagation Models in Networks

      Fun and Proud Fact: My Erdos number is 4 (through two distinct paths)!! 

          (1. Me -> Alfred Hero -> Wayne Stark -> Robert McEliece -> Paul Erdos)
          (2. Me -> Pai-Shun Ting -> John. P. Hayes -> Frank Harary -> Paul Erdos)