Ming Ji

Ph.D. candidate

Data Mining Research Group
Database and Information Systems Laboratory
Department of Computer Science
University of Illinois at Urbana-Champaign

201 N. Goodwin, Urbana, IL, 61801

Office:  2119 Siebel Center
Email:  mingji1 AT illinois DOT edu

[About me] [Research Interests] [Publications] [Honors and Awards] [Professional Service] [Links]

About Me  

I'm a fourth year Ph.D. student in the  Data Mining Group of  Database and Information Systems Laboratory (DAIS),  Computer Science Department,  University of Illinois at Urbana-Champaign (UIUC).  My advisor is Professor Jiawei Han.

Before joining UIUC in August 2009,  I received my Bachelor's degree in Computer Science (September 2005 - June 2009) in Zhejiang University, Hangzhou, China. 

Research Interests

  • Data mining, especially in mining graphs and networks
  • Manifold learning
  • Information retrieval
  • Multimedia

Publications

  • Efficient Mining of Correlated Sequential Patterns Based on Null Hypothesis [PDF]
    Cindy Xide Lin, Ming Ji, Marina Danilevsky, and Jiawei Han.
    Proc. of 2012 Int. Workshop on Web-Scale Knowledge Representation, Retrieval, and Reasoning (Web-KR 2012), co-located with 2012 Int. Conf. on Information and Knowledge Management (CIKM'12), Maui, Hawaii, Oct. 2012.

  • Parallel Field Ranking [PDF]
    Ming Ji, Binbin Lin, Xiaofei He, Deng Cai, Jiawei Han.
    Proc. of 2012 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'12), Beijing, China, Aug. 2012.
    (KDD'12 Best Paper Award Candidate, Best Poster Award, invited to the special issue of ACM Transactions on KDD)

  • A Simple Algorithm for Semi-supervised Learning with Improved Generalization Error Bound [PDF]
    Ming Ji, Tianbao Yang, Binbin Lin, Rong Jin, and Jiawei Han.
    Proc. of 2012 Int. Conf. on Machine Learning (ICML'12), Edinburgh, Scotland, June 2012.

  • A Variance Minimization Criterion to Active Learning on Graphs [PDF]
    Ming Ji, Jiawei Han.
    Proc. 2012 Int. Conf. on Artificial Intelligence and Statistics (AISTAT'12), La Palma, Canary Islands, April 2012.

  • Ranking-Based Classification of Heterogeneous Information Networks [PDF]
    Ming Ji, Jiawei Han, Marina Danilevsky.
    Proc. of 2011 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'11), San Diego, Aug. 2011.

  • Learning Search Tasks in Queries and Web Pages via Graph Regularization [PDF]
    Ming Ji, Jun Yan, Siyu Gu, Jiawei Han, Xiaofei He, Wei Vivian Zhang, Zheng Chen.
    Proc. of 2011 Int. ACM SIGIR Conf. on Research & Development in Information Retrieval (SIGIR'11), Beijing, China, July 2011.

  • A Variance Minimization Criterion to Feature Selection using Laplacian Regularization [PDF]
    Xiaofei He, Ming Ji, Chiyuan Zhang, Hujun Bao.
    IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 2013-2025, October, 2011.

  • Graph Regularized Transductive Classification on Heterogeneous Information Networks [PDF] [data]
    Ming Ji, Yizhou Sun, Marina Danilevsky, Jiawei Han, Jing Gao.
    Proc. 2010 European Conf. on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD'10), Barcelona, Spain, Sept. 2010.

  • MoveMine: Mining Moving Object Data for Discovery of Animal Movement Patterns [PDF]
    Zhenhui Li, Jiawei Han, Ming Ji, Lu-An Tang, Yintao Yu, Bolin Ding, Jae-Gil Lee, Roland Kays.
    ACM Transactions on Intelligent Systems and Technology (ACM TIST) (Special Issue on Computational Sustainability), Aug. 2010.

  • MoveMine: Mining Moving Object Databases [PDF]
    Zhenhui Li, Ming Ji, Jae-Gil Lee, Lu-An Tang, Jiawei Han, Roland Kays.
    Proc. 2010 ACM SIGMOD Int. Conf. on Management of Data (SIGMOD'10), Indianapolis, Indiana, June 2010.

  • Graph Embedding with Constraints [PDF]
    Xiaofei He, Ming Ji, Hujun Bao.
    Proc. 2009 International Joint Conf. on Artificial Intelligence (IJCAI'09), Pasadena, CA, July 2009.

  • A Unified Active and Semi-Supervised Learning Framework for Image Compression [PDF]
    Xiaofei He, Ming Ji, Hujun Bao.
    Proc. 2009 IEEE Computer Society Conf. on Computer Vision and Pattern Recognition (CVPR'09), Miami, Florida, June 2009.

Honors and Awards

  • KDD 2012 Student Travel Award, 2012
  • Best Poster Award, KDD Conference, 2012
  • KDD 2011 Student Travel Award, 2011
  • SIGIR 2011 Student Travel Award, 2011
  • IJCAI 2009 Student Travel Award, 2009
  • Data Mining Research Awards - Silver, Data Mining Group, UIUC, Spring 2012
  • Data Mining Research Awards - Silver, Data Mining Group, UIUC, Spring 2011
  • Outstanding bachelor's thesis, Zhejiang University (top 1%), 2009
  • First prize of outstanding undergraduate scholarship, Zhejiang University (top 10%), 2006-2008
  • First-grade scholarship, Zhejiang University (top 10%), 2006-2008
  • Scholarship for cross-disciplinary scholars in science and technology, UCLA, 2008

Professional Service

  • Journal reviewer: ACM Transactions on Knowledge Discovery from Data (TKDD), IEEE Transactions on Knowledge and Data Engineering (TKDE), IEEE Transactions on Systems, Man, and Cybernetics--Part B: Cybernetics, Signal Processing, Neurocomputing
  • Conference external reviewer (several times): KDD, ICDM, SDM, ADMA, CIKM

Links

Last Modified: November 2012