Minhui Xue (Jason Xue)

PhD Candidate

School of Computer Science and Software Engineering

East China Normal University, Shanghai, China

 
 

Minhui Xue is pursuing his Ph.D. degree at the School of Computer Science and Software Engineering of East China Normal University, recipient of the Outstanding Graduate Scholarship in 2016. He is also serving as a visiting scholar at the Courant Institute of Mathematical Sciences and Tandon School of Engineering at New York University, as well as a research associate at New York University Shanghai, co-advised by Professor Keith W. Ross (NYU) and Professor Haifeng Qian (ECNU). Previously, he received a Bachelor of Science degree in the field of fundamental mathematics from East China Normal University in July 2013, recipient of the Elite Student Scholarship from Fundamental Mathematics Honors Program (National Science Base Class). His current research interests are in data-driven analysis of online social networks and privacy, focusing primarily on computer science and mathematics. He is the recipient of the IEEE best paper award and his work has been featured in the mainstream press, including The New York Times, Science Daily, PR Newswire, Yahoo, and EurekAlert!. He is on the shadow program committee of ACM Internet Measurement Conference (IMC), student program committee of the IEEE Symposium on Security and Privacy (Oakland) and on the program committee of the IEEE VTC 2017, Springer WASA 2016, 2017, and ACM TUR-C 2017 (Security and Privacy Track). He also serves as a reviewer for numerous academic journals including PETS and TCNS.

In addition, Minhui owes a big thanks to Professor Haojin Zhu (SJTU) for leading him into the field of privacy pertinent issues, as well as Professor Dan Guttman (Both lawyer and teacher at Johns Hopkins University/NYU) who not only has a significant influence on how Minhui thinks, but also is his lifelong mentor.

Education and Experience:

  • PhD Candidate, School of Computer Science and Software Engineering, East China Normal University, 2013-Present
  • Visiting PhD Student, Department of Electrical Engineering, Katholieke Universiteit Leuven, October 2017
  • Research Associate, New York University Shanghai, 2014-Present
  • Visiting PhD Student, Department of Computer Science and Engineering, Shanghai Jiao Tong University, 2017
  • Visiting PhD Student, Courant Institute of Mathematical Sciences, New York University, 2016-2017
  • Visiting PhD Student, Tandon School of Engineering, New York University, 2016-2017
  • Teaching Assistant, East China Normal University, 2014
  • Bachelor of Science, Department of Mathematics, East China Normal University, 2009-2013
  • Exchange Student, New York University, 2011
  • Shanghai High School, 2006-2009

Honors & Awards:

  • Extensive Media Coverage (NYT, Science Daily, PR Newswire, EurekAlert!, Yahoo, etc.)
  • Outstanding Graduate Scholarship, East China Normal University, 2016
  • Best Paper Award, IEEE International Symposium on Security and Privacy in Social Networks and Big Data, 2015
  • Full Travel Grant Award, ACM Conference on Online Social Networks, 2015
  • Elite Student Scholarship, International Banco Santander, 2011
  • Elite Student Scholarship, Fundamental Mathematics Honors Program (National Science Base Class of Fundamental Mathematics), 2011
  • Second Prize, National Mathematical Contest in Modeling , 2011

Publications:

  1. Minhui Xue, Cameron L. Ballard, Kelvin Liu, Carson L. Nemelka, Yanqiu Wu, Keith W. Ross, and Haifeng Qian, "You Can Yak but You Can't Hide: Localizing Anonymous Social Network Users", Proceedings of the 2016 Conference on Internet Measurement Conference (IMC). ACM, 2016
  2. Minhui Xue, Gabriel Magno, Evandro Cunha, Virgilio Almeida, and Keith W. Ross, "The Right to be Forgotten in the Media: A Data-Driven Study", Proceedings on Privacy Enhancing Technologies (PETS), 2016
  3. Wenqi Bu, Minhui Xue, Lihua Xu, Yajin Zhou, Zhushou Tang, and Tao Xie, "When Program Analysis Meets Mobile Security: An Industrial Study of Misusing Android Internet Sockets", Proceedings of the 25th ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE), Industrial Track, 2017
  4. Lingling Fan, Minhui Xue, Sen Chen, Lihua Xu, and Haojin Zhu, "POSTER: Accuracy vs. Time Cost: Detecting Android Malware through Pareto Ensemble Pruning", 23rd ACM Conference on Computer and Communications Security 2016 (CCS). ACM, 2016
  5. Sen Chen, Minhui Xue, and Lihua Xu, "Poster: Towards Adversarial Detection of Mobile Malware", The 22nd Annual International Conference on Mobile Computing and Networking (MobiCom). ACM, 2016
  6. Sen Chen, Minhui Xue, Zhushou Tang, Lihua Xu, and Haojin Zhu, "StormDroid: A Streaminglized Machine Learning-Based System for Detecting Android Malware", 11th ACM on Asia Conference on Computer and Communications Security (AsiaCCS). ACM, 2016
  7. Minhui Xue, Limin Yang, Keith W. Ross, and Haifeng Qian, "Characterizing User Behaviors in Location-Based Find-and-Flirt Services: Anonymity and Demographics", Peer-to-Peer Networking and Applications (PPNA) (Special Issue). Springer International Publishing, 2016
  8. Minhui Xue, Yong Liu, Keith W. Ross, and Haifeng Qian, "Thwarting Privacy Protection in Location-Based Social Discovery Services", Security and Communication Networks (SCN). Wiley, 2016
  9. Haizhong Zheng, Neng Li, Minhui Xue, Suguo Du, and Haojin Zhu, "Fake Reviews Tell No Tales? Dissecting Click Farming in Content-Generated Social Networks", IEEE/CIC International Conference on Communications in China, IEEE, 2017
  10. Jialin Wang, Hanni Cheng, Minhui Xue, and Xiaojun Hei, "Revisiting Localization Attacks in Mobile App People-Nearby Services", The 10th International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage (SpaCCS). Springer International Publishing, 2017
  11. Hanni Cheng, Shiling Mao, Minhui Xue, and Xiaojun Hei, "On the Impact of Location Errors on Localization Attacks in Location-Based Social Network Services", The 9th International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage (SpaCCS). Springer International Publishing, 2016
  12. Minhui Xue, Yong Liu, Keith W. Ross, and Haifeng Qian, "I Know Where You Are: Thwarting Privacy Protection in Location-Based Social Discovery Services", Computer Communications Workshops (INFOCOM WKSHPS), 2015 IEEE Conference on. IEEE, 2015
  13. Jiawen Peng, Yan Meng, Minhui Xue, Xiaojun Hei, and Keith W. Ross, "Attacks and Defenses in Location-Based Social Networks: A Heuristic Number Theory Approach", International Symposium on Security and Privacy in Social Networks and Big Data (SocialSec). IEEE, 2015 (Best Paper Award)
  14. Carson L. Nemelka, Cameron L. Ballard, Kelvin Liu, Minhui Xue, and Keith W. Ross, "You Can Yak But You Can't Hide", Proceedings of the 2015 ACM on Conference on Online Social Networks (COSN). ACM, 2015
  15. Rongrong Wang, Minhui Xue, Kelvin Liu, and Haifeng Qian, "Data-Driven Privacy Analytics: A WeChat Case Study in Location-Based Social Networks", Wireless Algorithms, Systems, and Applications (WASA). Springer International Publishing, 2015.

Selected Press:

  1. "Researchers Uncover a Flaw in Europe's Tough Privacy Rules", The New York Times, June, 2016
  2. "A Loophole in the Right to Be Forgotten", Columbia Journalism Review, July 2016
  3. "Flaws Found in 'Right To Be Forgotten' Data Privacy Laws", Information Week, July 2016
  4. "Is Anything Ever 'Forgotten' Online?", The Conversation, July 2016
  5. "Weak Spots in Europe's 'Right to be Forgotten' Data Privacy law", Science Daily, June 2016
  6. "NYU Researchers Find Weak Spots in Europe's 'Right to be Forgotten' Data Privacy Law", NYU Newsroom, June 2016
  7. "Computer Science Students to Present at Major Conferences", NYU Shanghai Newsroom, September, 2016
  8. "Cybersecurity does not all Depend on Experts", Wenhui Daily, September, 2016
  9. "Hold That Talk: NYU Researchers Discover Clues For Identifying Yik Yak Users on College Campuses", PR Newswire, October, 2016
  10. "Hold That Talk: NYU Researchers Discover Clues For Identifying Yik Yak Users on College Campuses", Yahoo, October, 2016
  11. "NYU Researchers Discover Clues For Identifying Yik Yak Users on College Campuses", EurekAlert!, October, 2016
  12. "Hold That Talk: NYU Researchers Discover Clues For Identifying Yik Yak Users on College Campuses", NYU Newsroom, October, 2016

Invited Talks:

  1. "Data-Driven Privacy Analysis of Social Networking", Katholieke Universiteit Leuven (KU Leuven), Brussels, Belgium, 2017
  2. "Data-Driven Analysis of Online Social Networks", Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China, 2017
  3. "You Can Yak but You Can't Hide: Localizing Anonymous Social Network Users", 2016 Conference on Internet Measurement Conference (IMC). Santa Monica, USA
  4. "Poster: Towards Adversarial Detection of Mobile Malware", The 22nd Annual International Conference on Mobile Computing and Networking (MobiCom), 2016. New York, USA
  5. "StormDroid: A Streaminglized Machine Learning-Based System for Detecting Android Malware", 11th ACM on Asia Conference on Computer and Communications Security (AsiaCCS), 2016. Xi'an, China
  6. "Data-Driven Privacy Analysis", Zhejiang University, Hangzhou, China, 2016
  7. "You Can Yak but You Can't Hide", 2015 ACM on Conference on Online Social Networks (COSN). Stanford University, USA
  8. "I Know Where You Are: Thwarting Privacy Protection in Location-Based Social Discovery Services", 2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). Hong Kong, China
  9. "Location Privacy: Distance, Countable Set, Convergence", NYU Shanghai, Shanghai, China, 2015

Services:

  • ACM Internet Measurement Conference (IMC) 2017: Shadow Program Committee Member
  • IEEE Symposium on Security and Privacy (Oakland) 2017: Student Program Committee Member
  • IEEE Network and Distributed System Security Symposium (NDSS) 2018: sub-reviewer
  • Privacy Enhancing Technologies Symposium (PETS) 2016, 2017, 2018: reviewer
  • IEEE 86th Vehicular Technology Conference (VTC) 2017: Program Committee Member
  • International Conference on Wireless Algorithms, Systems, and Applications (WASA) 2016, 2017: Program Committee Member
  • ACM TUR-C 2017 (Security and Privacy Track) 2017: Program Committee Member
  • IEEE Transactions on Dependable and Secure Computing (TDSC): reviewer
  • IEEE Transactions on Control of Network Systems (TCNS): reviewer
  • Elsevier Computer Communications: reviewer
  • IEEE Internet of Things Journal: reviewer
  • Peer-to-Peer Networking and Applications: reviewer
  • The IFIP Networking 2017 Conference and Workshops (NETWORKING 2017) 2017: sub-reviewer
  • IEEE GLOBECOM 2017: sub-reviewer
  • IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems 2015 (MASCOTS): sub-reviewer

Contact:

New York University Shanghai

Center for Data Science and Analytics

1555 Century Avenue, Pudong, Shanghai, China 200122

Email: minhuixue@gmail.com