Yu Jin   

 

AT&T Labs -- Research
yjin -- at -- research -- dot -- att -- dot -- com




Shortcuts: Bio | Publications | Teaching | Academic activities | Patents | Awards

Brief Bio

Yu Jin is a senior member at AT&T Labs Research. His research work is data-oriented, involving analysis of massive network data for a wide range of applications, such as network profiling, measurement and anomaly detection. He is very interested in applying machine learning and data mining techniques as well as stochastic algorithms for the analysis of massive network data sets.

Yu Jin graduated from Nankai University, Tianjin, China with an ScB. in Computer Science in 2002. At the beginning of 2002, he was an exchange student in Nanyang Technological University, Singapore. Following this, he worked on his master degree in NetLab at Nankai Univerisity. In 2010, Yu Jin joined AT&T Labs Research after receiving his PhD degree in Computer Science from the University of Minnesota (PhD thesis advisor Professor Zhi-Li Zhang).


Publications

  • Shan Zhou, Jie Yang, Dahai Xu, Guangzhi Li, Yu Jin, Zihui Ge, Mario B Kossei, Robert Doverspike, Yingying Chen and Lei Ying, Proactive Call Drop Avoidance in UMTS Networks , in Proc. of the 32nd IEEE International Conference on Computer Communications (INFOCOM 2013 mini-conference), Turin, Italy, April 14-19, 2013.

  • Yu Jin, Nick Duffield, Alexandre Gerber, Patrick Haffner, Wen-Ling Hsu, Guy Jacobson, Subhabrata Sen, Shobha Venkataraman and Zhi-Li Zhang, Characterizing Data Usage Patterns in a Large Cellular Network , in Proc. of the 2012 ACM SIGCOMM workshop on cellular networks: operations, challenges, and future design (CellNet 2012), Helsinki, Finland, August 13th - 17th, 2012 (in conjunction with ACM SIGCOMM'12).

  • Nan Jiang, Yu Jin, Ann Skudlark, Wen-Ling Hsu, Guy Jacobson, Siva Prakasam, Zhi-Li Zhang, Isolating and Analyzing Fraud Activities in a Large Cellular Network via Voice Call Graph Analysis , in Proc. of the 10th International Conference on Mobile Systems, Applications and Services (Mobisys 2012), Low Wood Bay, Lake District, United Kingdom, June 25th - 29th, 2012 (acceptance ratio 17.6%).

  • Wen-Ling Hsu, Guy Jacobson, Nan Jiang Yu Jin, Appavu Prakasam, Ann Skudlark, Characterizing and Detecting Mobile Phone Fraud Schemes , in the 19th ITS World Congress Vienna, Austria, 2012.

  • Appavu Prakasam, Yu Jin, Ann Skudlark, Nan Jiang, Wen-Ling Hsu, Guy Jacobson, Increased Smart Device Penetration Brings Malware Vulnerability: Methods for Detecting Malware in a Large Cellular Network , in Regional International Telecommunications Society India Conference 2012.

  • Yu Jin, Nick Duffield, Alexandre Gerber, Patrick Haffner, Wen-Ling Hsu, Guy Jacobson, Subhabrata Sen, Shobha Venkataraman, Zhi-Li Zhang, Large-scale App-based Reporting of Customer Problems in Cellular Networks: Potential and Limitations , in Proc. of the ACM SIGCOMM Workshop on Measurements Up the STack (W-Must), August 19, 2011, Toronto, Canada (in conjunction with ACM SIGCOMM'11).

  • Yu Jin, Nick Duffield, Jeff Erman, Patrick Haffner, Subhabrata Sen, Zhi-Li Zhang, A Modular Machine Learning System for Flow-Level Traffic Classification in Large Networks , accepted by Transactions on Knowledge Discovery from Data (TKDD), 2011.

  • Yu Jin, Nick Duffield, Patrick Haffner, Subhabrata Sen, Zhi-Li Zhang, Can't See Forest through the Trees? Understanding Mixed Network Traffic Graphs from Application Class Distribution , in Proc. of the 9th workshop on Mining and Learning with Graphs (MLG 2011), August 20-21, 2011, San Diego, California, USA (in conjunction with ACM KDD'11).

  • Yu Jin, Wen-Ling Hsu, Guy Jacobson, Ann Skudlark, Understanding Data Users in a Large Cellular Network , in Proc. of the International Telecommunications Society 2011 Asia-Pacific Regional Conference, Taipei, Taiwan, June 26-28, 2011.

  • Ann Skudlark, Yu Jin, Wen-Ling Hsu, Guy Jacobson, Using Social Media Data to Understand Mobile Customer Experience and Behavior , in Proc. of the International Telecommunications Society 2011 European Regional Conference, Budapest, Hungary, September 19-21, 2011.

  • Yu Jin, Nick Duffield, Alexandre Gerber, Patrick Haffner, Wen-Ling Hsu, Guy Jacobson, Subhabrata Sen, Shobha Venkataraman, Zhi-Li Zhang, Making Sense of Customer Tickets in Cellular Networks , in Proc. of the IEEE INFOCOM'11 Mini-Conference, April 10 - 15, 2011, in Shanghai, China.

  • Yu Jin, Nick Duffield, Alexandre Gerber, Patrick Haffner, Subhabrata Sen, Zhi-Li Zhang, NEVERMIND, the Problem Is Already Fixed: Proactively Detecting and Troubleshooting Customer DSL Problems , in Proc. of the ACM CoNEXT 2010 (CoNEXT 2010), November 30 - December 3, 2010, in Philadelphia, USA (acceptance ratio 19.0%)

  • Esam Sharafuddin, Nan Jiang, Yu Jin, Zhi-Li Zhang, Hospital: Host and Network System Profiler and Internet Traffic Analyzer, in Proc. of the IEEE Globecom 2010 Workshop on Complex and Communication Networks (CCNet 2010), Miami, Florida, December 6-10, 2010.

  • Nan Jiang, Jin Cao, Yu Jin, Li (Erran) Li, Zhi-Li Zhang, Identifying Suspicious Activities through DNS Failure Graph Analysis, in Proc. of the 18th IEEE International Conference on Network Protocols (ICNP 2010), Kyoto, Japan, October 5-8, 2010 (acceptance ratio 18.2%).

  • Esam Sharafuddin, Nan Jiang, Yu Jin, Zhi-Li Zhang, Know Your Enemy, Know Yourself: Block-Level Network Behavior Profiling and Tracking, in Proc. of IEEE Global Communications Conference (Globecom'10), Miami, Florida, December 6-10, 2010.

  • Guanlin Lu, Yu Jin, David H.C. Du, Frequency Based Chunking for Backup Streams, in Proc. of the 18th Annual Meeting of the IEEE/ACM International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOT'10), Miami Beach, Florida, August 17-19, 2010.

  • Yu Jin, Nick Duffield, Patrick Haffner, Subhabrata Sen, Zhi-Li Zhang, Inferring Applications at the Network Layer using Collective Traffic Statistics, in Proc. of the 22nd International Teletraffic Congress (ITC 22), September 7-9, 2010, Amsterdam, Netherlands.

  • Guanlin Lu, Yu Jin, David H.C. Du, Frequency Based Chunking for Backup Streams (Poster), in Proc. of the 8th USENIX Conference on File and Storage Technologies (FAST 2010), San Jose, California, February 23-26, 2010.

  • Yu Jin, Nick Duffield, Patrick Haffner, Subhabrata Sen, Zhi-Li Zhang, Inferring Applications at the Network Layer using Collective Traffic Statistics (Extended Abstract), in Proc. of the 2010 ACM International Conference on Measurement and Modeling of Computer Systems (ACM SIGMETRICS 2010), June 14-18, 2010, New York, New York, USA.

  • Esam Sharafuddin, Yu Jin, Nan Jiang, Zhi-Li Zhang, Sifting through Network Data to Cull Activity Patterns with HEAPs, in Proc. of the 30th International Conference on Distributed Computing Systems - ICDCS2010 (acceptance ratio 14.4%), June 21-25, 2010, Genoa, Italy.

  • Aiyou Chen, Yu Jin, Jin Cao, Li (Erran) Li, Tracking Long Duration Flows in Network Traffic, in Proc. of the 29th IEEE International Conference on Computer Communications - INFOCOM2010 (mini-conference) (acceptance ratio 24.3%).

  • Yu Jin, Esam Sharafuddin, Zhi-Li Zhang, Unveiling Core Network-Wide Communication Patterns through Application Traffic Activity Graph Decomposition, in Proc. of the 2009 ACM International Conference on Measurement and Modeling of Computer Systems (ACM SIGMETRICS 2009) (acceptance ratio 14.9%).

  • Jin Cao, Yu Jin, Aiyou Chen, Tian Bu, Zhi-Li Zhang, Identifying High Cardinality Internet Hosts, in Proc. of the 28th Conference on Computer Communications (IEEE INFOCOM 2009) (acceptance ratio 19.6%).

  • Yu Jin, Esam Sharafuddin, Zhi-Li Zhang, Identifying Dynamic IP Address Blocks Serendipitously through Background Scanning Traffic, in Proc. of the 3rd International Conference on emerging Networking EXperiments and Technologies (CoNEXT 2007), New York, NY, December 10, 2007 (acceptance ratio 19.5%).

  • Yu Jin, Zhi-Li Zhang, Kuai Xu, Feng Cao, Sambit Sahu, Identifying and Tracking Suspicious Activities through IP Gray Space Analysis, In Proc. of the 3rd Workshop on Mining Network Data (MineNet'07), San Diego, CA, June 12, 2007 (in conjunction with ACM SIGMETRICS'07).

  • Yu Jin, Gyorgy Simon, Kuai Xu, Zhi-Li Zhang, Vipin Kumar, Gray's Anatomy: Dissecting Scanning Activities Using IP Gray Space Analysis, in Proc. of the Second Workshop on Tackling Computer Systems Problems with Machine Learning Techniques (SysML07), Boston, MA, April 10, 2007 (in conjunction with USENIX NSDI'07).

Teaching

  • Fall 2006     -- Machine Learning, graduate course, Instructor: Prof. Arindam Banerjee
  • Spring 2006 -- Internet Programming, undergraduate course, Instructor: Prof. Carl Sturtivant
  • Fall 2005     -- Introduction to Computer Security, graduate course, Instructor: Prof. Nick Hopper

Academic Activities

  • Technical program committee for CCNC'2012 DCN Workshop (2nd IEEE International Workshop on Densely Connected Networks).
  • Technical program committee for the 30th IEEE International Performance Computing and Communications Conference (IPCCC 2011)
  • Technical program committee for the 29th IEEE International Performance Computing and Communications Conference (IPCCC 2010)
  • Reviewers for conferences like SIGCOMM, SIGMETRICS, IMC, CoNext, ICNP, INFOCOM, etc., and journals like ToN, Neurocomputing, JCST, IJCAT, etc.
  • Member of ACM and IEEE

Patents

  • Lightweight Application classification using Flow-level aggregates, 2009 (filed)
  • Method and apparatus for classifying applications using the collective properties of network traffic, 2009 (filed)

Awards

  • Grant from AT&T Virtual University Research Initiative (VURI), 2009 and 2010
  • Student Travel Award in Internet Measurement Conference, 2009
  • Excellent Master Thesis Award, Nankai University, 2005
  • Excellent Undergraduate Thesis Award, Nankai University, 2002

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The contents of this page have not been reviewed or approved by the University of Minnesota.