Steve Jan
Ph.D. Student
Computer Science
Virginia Tech

CV

My research interests lie in the security and machine learning.

I recently graduated from Virginia Tech. I was working with Prof. Gang Wang and Prof. Bimal Viswanath . My research covers in a field of machine learning and security. My works have published on many top conference such as KDD/SDM/AAAI/S&P. My current projects are focused on understanding and identifying the potential threats in real world applications.

News

Aug. 2020 I have passed my dessertation defense. 😉
Feb. 2020 Our bot detection paper has been accepted to IEEE SP'20!
Dec. 2019 I am a visiting scholar at University of Illinois Urbana-Champaign.
Nov. 2019 My internship work at IBM research has been accepted to IAAI!
Feb. 2019 I will join MIT-IBM Watson AI Lab as a research intern this summer.
Jan. 2019 I will have a spotlight talk on AAAI 2019. Come to see my presentations.

Education

Dec 2019 - Aug 2020 Visiting Ph.D. in Computer Science
University of Illinois at Urbana-Champaign
Aug 2014 - Aug 2020 (On leave: 2015-16) Ph.D. in Computer Science
Virginia Tech
Sep. 2008 - Jun. 2010 M.S. in Computer Science
National Taiwan University
Sep. 2004 - Jun. 2008 B.S. in Computer Science
Chung Yuan Christian University

Experience

Dec 2019 - Aug 2020 University of Illinois at Urbana-Champaign, Visiting Scholar
May 2019 - Aug. 2019 MIT-IBM Watson AI Lab, Research Intern
May 2018 - Aug. 2018 Intel, Software Engineering Intern
Apr. 2014 - Aug 2020 Virginia Tech, Research Assistant
Apr. 2011 - May 2014 Academia Sinica, Full-time Research Assistant

Publications

Google Scholar

Throwing Darts in the Dark? Detecting Bots with Limited Data using Neural Data Augmentation
Steve T. K. Jan, Qingying Hao, Tianrui Hu, Jiameng Pu, Sonal Oswal, Gang Wang, and Bimal Viswanath
Proceedings of The 41st IEEE Symposium on Security and Privacy (IEEE SP) 2020
[1] [pdf] [video]
AI Trust in business processes: The need for process-aware explanations
Steve T. K. Jan, Vatche Ishakian, and Vinod Muthusamy
Proceedings of Innovative Applications of Artificial Intelligence (IAAI) 2020
[2] [pdf]
Connecting the Digital and Physical World: Improving the Robustness of Adversarial Attacks
Steve T. K. Jan, Joseph Messou, Yen-Chen Lin, Jia-Bin Huang, and Gang Wang
Proceedings of AAAI Conference on Artificial Intelligence (AAAI) 2019
[3] [pdf]
Analyzing Payment-driven Targeted Q&A Systems
Steve T. K. Jan, Chun Wang, Qing Zhang, and Gang Wang
ACM Transactions on Social Computing (TSC) 2018
[4] [pdf]
Needle in a Haystack: Tracking Down Elite Phishing Domains in the Wild
Ke Tien, Steve T. K. Jan, Hang Hu, Danfeng Yao, and Gang Wang
Proceedings of ACM Internet Measurement Conference (IMC) 2018
[5] [pdf] [slides]
The Next Domino To Fall: Empirical Analysis of User Passwords across Online Services
Chun Wang, Steve T. K. Jan, Hang Hu, Douglas Bossart, and Gang Wang
Proceedings of The ACM Conference on Data and Applications Security and Privacy (CODASPY) 2018
[6] [pdf]
Pay-per-Question: Towards Targeted Q&A with Payments
Steve T. K. Jan, Chun Wang, Qing Zhang, and Gang Wang
Proceedings of ACM International Conference on Supporting Group Work (GROUP) 2018
[7] [pdf] [slides]
Crowdsourcing Cybersecurity: Cyber Attack Detection using Social Media
Rupinder Paul Khandpur, Taoran Ji, Steve T. K. Jan, Gang Wang, Chang-Tien Lu, and Naren Ramakrishnan
Proceedings of Conference on Information and Knowledge Management (CIKM) 2017
[8] [pdf]
MeiKe: Influence-based Communities in Networkss
Yao Zhang, Bijaya Adhikari, Steve T. K. Jan, and Aditya Prakash
Proceedings of SIAM International Conference on Data Mining (SDM) 2017
[9] [pdf]
Unstable Communities in Network Ensembles
Ahsanur Rahman, Steve T. K. Jan, Hyunju Kim, Aditya Prakash, and T. M. Murali
Proceedings of SIAM International Conference on Data Mining (SDM) 2016
[10] [pdf]
Mining Unstable Communities from Network Ensembles
Ahsanur Rahmana, Steve T. K. Jan, Hyunju Kim, Aditya Prakash, and T. M. Murali
Proceedings of International Conference on Data Mining Workshop (ICDM Workshop) 2016
[11] [pdf]
A Simple Methodology of Soft Cost-sensitive Classification
Steve T. K. Jan, Da-Wei Wang, Chi-Hung Lin, and Hsuan-Tien Lin
Proceedings of Knowledge Discovery and Data Minin (KDD) 2012
[12] [pdf]
Data Selection Techniques for Large-scale RankSVM
Ken-Yi Lin, Steve T. K. Jan, and Hsuan-Tien Lin
Proceedings of Technologies and Applications of Artificial Intelligence (TAAI) 2013
[13] [pdf]
Cost-Sensitive Classification on Pathogen Species of Bacterial Meningitis by Surface Enhanced Raman Scattering
Steve T. K. Jan, Hsuan-Tien Lin, and Da-Wei Wang
Proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2011
[14] [pdf]

Teaching Experience

S2017 Intro to Programming in Java (VT CS1054), TA
F2016 Intro to Programming (VT CS1054), TA
S2015 Data Structures and Algorithms (VT CS3014), TA
F2014 Data Structures and Algorithms (VT CS3014), TA
S2009 Machine Learning (NTU CSIE), TA

Honors & Awards

2020 Student Registration Award, IEEE Symposium on Security and Privacy
2018 Fellow Employee Recognition Reward, Intel
2010 Excellent TA Award, National Taiwan University

Skills

Languages

C, C++, Java, Make, Python

Frameworks

NumPy, Pandas, PyTorch, SciPy, TensorFlow

Systems

Linux, OSX


Last updated on 2020-09-03