ChenglinMiao

 Chenglin Miao

  Ph.D. Candidate

  Department of Computer Science and Engineering

  State University of New York at Buffalo

  Address: 301C Davis Hall, Buffalo, New York 14260

  Email: cmiao AT buffalo DOT edu


Biography

I am currently a Ph.D. candidate in the Department of Computer Science and Engineering, State University of New York at Buffalo, supervised by Dr. Lu Su. Before starting my Ph.D. study, I received M.E. from University of Science and Technology of China in 2014 and B.E. from Hefei University of Technology in 2011.

Research Interests

I am broadly interested in security and privacy, Internet of Things, mobile computing, crowd and social sensing systems, data mining and machine learning. Currently, I mainly focus on developing novel techniques and approaches that can enhance the security and privacy of emerging network systems.

Selected Publications

  Conference Publications:

  • [MobiCom'18] Wenjun Jiang, Chenglin Miao, Fenglong Ma, Shuochao Yao, Yaqing Wang, Ye Yuan, Hongfei Xue, Chen Song, Xin Ma, Dimitrios Koutsonikolas, Wenyao Xu, and Lu Su, "Towards Environment Independent Device Free Human Activity Recognition ", the 24th Annual International Conference on Mobile Computing and Networking, New Delhi, India, October 2018. (Acceptance Rate: 42/187=22.5%). [PDF]
  • [KDD'18] Yaliang Li, Chenglin Miao (co-first author), Lu Su, Jing Gao, Qi Li, Bolin Ding, Zhan Qin, Kui Ren, "An Efficient Two-Layer Mechanism for Privacy-Preserving Truth Discovery", the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, London, United Kingdom, August 2018. (Acceptance Rate: 18%. Long talk: 10%). [PDF]
  • [KDD'18] Mengdi Huai, Chenglin Miao, Yaliang Li, Qiuling Suo, Lu Su, Aidong Zhang, "Metric Learning from Probabilistic Labels", the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, London, United Kingdom, August 2018. (Acceptance Rate: 18%. Long talk: 10%). [PDF]
  • [ICDCS'18] Wenjun Jiang, Qi Li, Lu Su, Chenglin Miao, Quanquan Gu, Wenyao Xu, "Towards Personalized Learning in Mobile Sensing Systems", the 38th International Conference on Distributed Computing Systems, Vienna, Austria, July 2018. (Acceptance Rate: 78/378=20%). [PDF]
  • [MobiHoc'18] Chenglin Miao, Qi Li, Houping Xiao, Wenjun Jiang, Mengdi Huai, Lu Su, "Towards Data Poisoning Attacks in Crowd Sensing Systems", the 19th ACM Symposium on Mobile Ad Hoc Networking and Computing, Los Angeles, USA, June 2018. (Acceptance Rate: 30/178=16.8%). [PDF]
  • [SDM'18] Mengdi Huai, Chenglin Miao, Qiuling Suo, Yaliang Li, Jing Gao, Aidong Zhang, "Uncorrelated Patient Similarity Learning", the 18th SIAM International Conference on Data Mining, San Diego, USA, May 2018. (Acceptance Rate: 23.2%). [PDF]
  • [WWW'18] Chenglin Miao, Qi Li, Lu Su, Mengdi Huai, Wenjun Jiang, Jing Gao, "Attack under Disguise: An Intelligent Data Poisoning Attack Mechanism in Crowdsourcing", the World Wide Web Conference, Lyon, France, April 2018. (Acceptance Rate: 171/1155=14.8%). [PDF]
  • [INFOCOM'17] Chenglin Miao, Lu Su, Wenjun Jiang, Yaliang Li, Miaomiao Tian, "A Lightweight Privacy-Preserving Truth Discovery Framework for Mobile Crowd Sensing Systems", the 36th IEEE International Conference on Computer Communications, Atlanta, USA, May 2017. (Acceptance Rate: 292/1395=20.9%). [PDF]
  • [SenSys'15] Chenglin Miao, Wenjun Jiang, Lu Su, Yaliang Li, Suxin Guo, Zhan Qin, Houping Xiao, Jing Gao, Kui Ren, "Cloud-Enabled Privacy-Preserving Truth Discovery in Crowd Sensing Systems", the 13th ACM Conference on Embedded Networked Sensor Systems, Seoul, South Korea, November 2015. (Acceptance Rate: 27/132=20.4%). [PDF]

  Journal Publications:

  • [TOSN'19] Chenglin Miao, Wenjun Jiang, Lu Su, Yaliang Li, Suxin Guo, Zhan Qin, Houping Xiao, Jing Gao, and Kui Ren, "Privacy-Preserving Truth Discovery in Crowd Sensing Systems", ACM Transactions on Sensor Networks, Vol. 15, No. 1, 2019. [PDF]
  • [TPDS'18] Wenjun Jiang, Chenglin Miao, Lu Su, Qi Li, Shaohan Hu, Shiguang Wang, Jing Gao, Hengchang Liu, Tarek F. Abdelzaher, Jiawei Han, Xue Liu, Yan Gao, Lance Kaplan, "Towards Quality Aware Information Integration in Distributed Sensing Systems", IEEE Transactions on Parallel and Distributed Systems, Vol. 29, No. 1, 2018. [PDF]

Selected Awards

  • Best Paper Award Finalist, ACM MobiHoc, 2018
  • Student Travel Award, ACM MobiHoc, 2018
  • Student Travel Award, IEEE INFOCOM, 2017
  • National Scholarship for Graduate Students, Ministry of Education of P. R. China, 2013
  • National Scholarship, Ministry of Education of P. R. China, 2008, 2009, 2010

Academic Services

  • Journal Reviewer
    IEEE/ACM Transactions on Networking (TON)
    IEEE Transactions on Mobile Computing (TMC)
    IEEE Transactions on Information Forensics and Security (TIFS)
    ACM Transactions on Sensor Networks (TOSN)
    IEEE JSAC Special Issue on "Human-In-The-Loop Mobile Networks" (JSAC-HMN)
    IEEE Communications Magazine
    IEEE Network Magazine
    IEEE Access
  • External Reviewer
    MobiCom, SenSys, MobiHoc, INFOCOM, IPSN, ICDCS, ICDM, CIKM, GLOBECOM, MASS, ICCCN, IPCCC

Last updated: 1/2019