Jiangtao Yin Ph.D.  Department of Electrical and Computer Engineering University of Massachusetts Amherst Email: jyin AT ecs DOT umass DOT edu

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I have graduated with my Ph.D. degree from the Dept. of Electrical and Computer Engineering at University of Massachusetts Amherst. My advisor is Prof. Lixin Gao. Prior to joining UMass, I received my B.Eng. degree from Beijing Institute of Technology and my M.Eng. degree from Beijing University of Posts and Telecommunications, both in computer science and technology.

RESEARCH INTERESTS

• Big Data
• Cloud Computing
  
• Distributed Systems
  
• Large-Scale Machine Learning/Data Mining
  

PUBLICATIONS

• Scalable Distributed Nonnegative Matrix Factorization with Block-wise Updates
  Jiangtao Yin, Lixin Gao, Zhongfei (Mark) Zhang.
  IEEE Transactions on Knowledge and Data Engineering, 2018.

• Accelerating distributed Expectation–Maximization algorithms with frequent updates
  Jiangtao Yin, Yanfeng Zhang, and Lixin Gao.
  Journal of Parallel and Distributed Computing, Volume 111 January 2018.

• Asynchronous Distributed Incremental Computation on Evolving Graphs
  Jiangtao Yin, Lixin Gao.
  Proceeding of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), 2016.

• Co-ClusterD: A Distributed Framework for Data Co-Clustering with Sequential Updates
  Xiang Cheng, Sen Su,  Lixin Gao, and Jiangtao Yin.
  IEEE Transactions on Knowledge and Data Engineering,  Volume 27, December 2015.

• GOM-Hadoop: A Distributed Framework for Efficient Analytics on Ordered Datasets
  Jiangtao Yin, Yong Liao, Mario Baldi, Lixin Gao, and Antonio Nucci.
  Journal of Parallel and Distributed Computing, Volume 83, September 2015.

• Scalable Distributed Belief Propagation with Prioritized Block Updates [code]
  Jiangtao Yin, Lixin Gao.
  Proceeding of ACM International Conference on Information and Knowledge Management (CIKM), 2014.

• Scalable Nonnegative Matrix Factorization with Block-wise Updates [slides] [code]
  Jiangtao Yin, Lixin Gao, Zhongfei (Mark) Zhang.
  Proceeding of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), 2014.

• A Scalable Distributed Framework for Efficient Analytics on Ordered Datasets
  Jiangtao Yin, Yong Liao, Mario Baldi, Lixin Gao, and Antonio Nucci.
  Proceeding of IEEE/ACM International Conference on Utility and Cloud Computing (UCC), 2013.

• Co-ClusterD: A Distributed Framework for Data Co-Clustering with Sequential Updates
  Sen Su, Xiang Cheng, Lixin Gao, and Jiangtao Yin.
  Proceeding of IEEE International Conference on Data Mining (ICDM), 2013.

• Efficient Social Network Data Query Processing on MapReduce
  Liu Liu, Jiangtao Yin, and Lixin Gao.
  Proceeding of ACM HotPlanet workshop in conjunction with SIGCOMM, 2013.

• Efficient Analytics on Ordered Datasets using MapReduce
  Jiangtao Yin, Yong Liao, Mario Baldi, Lixin Gao, and Antonio Nucci.
  Proceeding of ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC), 2013.

• Accelerating Expectation-Maximization Algorithms with Frequent Updates
  Jiangtao Yin, Yanfeng Zhang, and Lixin Gao.
  Proceeding of IEEE Cluster Computing (CLUSTER), 2012.

• DPillar: Dual-port server interconnection network for large scale data centers
  Yong Liao, Jiangtao Yin, Dong Yin, and Lixin Gao.
  Computer Networks, Volume 56, Issue 8, May 2012.

INTERNSHIP

• Intern, CTO office, Narus Inc., a subsidiary of Boeing, Sept. - Dec., 2012.
• Intern, CTO office, Narus Inc., a subsidiary of Boeing, Sept. - Dec., 2013.

TEACHING ASSISTANT

• ECE242, Data Structures and Algorithms (Spring 2010, Fall 2014)
• ECE697SN, Online Social Networks (Spring 2013)
• ECE665, Computer Algorithms (Spring 2012)
• ENGIN112, Introduction to Electrical and Computer Engineering (Fall 2011)

SERVICE

• Program Committee: IEEE/ACM CCGrid 2015, IEEE BDCloud 2015, IEEE BDCloud 2016, IEEE ICPADS 2016, PPoPP PMAM 2017, IPDPS APDCM 2017, IEEE/ACM CCGrid 2017, PPAM 2017, IPDPS PDSEC 2017, IEEE ISPA 2017, IEEE ICPADS 2017, IPDPS APDCM 2018, PPoPP PMAM 2018, IPDPS PDSEC 2018, CANDAR 2018, IEEE/ACM UCC 2018, IEEE ISPA 2018
• Reviewer: IEEE Transactions on Knowledge and Data Engineering (TKDE), IEEE Transactions on Parallel and Distributed Systems (TPDS), Journal of Parallel and Distributed Computing (JPDC), Journal of Software: Practice and Experience, Journal of Systems and Software, Journal of Computers, CBD 2014, Globe 2014, HLPP 2014,  HPBDC 2016