Robert R. McCormick School of Engineering and Applied Science Electrical Engineering and Computer Science Department Center for Ultra-scale Computing and Information Security at Northwestern University
Zhengzhang Chen
Zhengzhang (Zach) Chen
Research Assistant Professor
Office:LG65 - Tech Institute
Phone: (847)467-3268
E-mail:  zzc472 AT eecs.northwestern.edu

Personal Website:   Click here

Research Interests:

Publications:

  1. Zhengzhang Chen, Seung Woo Son, William Hendrix, Ankit Agrawal, Wei-keng Liao, and Alok Choudhary, NUMARCK: Machine Learning Algorithm for Resiliency and Checkpointing, in Proceedings of The International Conference on High Performance Computing, Networking, Storage and Analysis (SC 2014), New Orleans, Louisiana, USA 2014.
  2. Yusheng Xie, Zhengzhang Chen, Diana Palsetia, Ankit Agrawal, and Alok Choudhary, Indexing Bipartite Memberships in Web Graphs, in Proceedings of The IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM 2014), Beijing, China, 2014.
  3. Wenbin Chen, Zhengzhang Chen, Nagiza F. Samatova, Lingxi Peng, Jianxiong Wang, and Maobin Tang, Solving the Maximum Duo-preservation String Mapping Problem with Linear Programming, in Theoretical Computer Science, 2014.
  4. Yu Cheng, Zhengzhang Chen, Hongliang Fei, Fei Wang, and Alok Choudhary, Batch Mode Active Learning with Hierarchical-Structured Embedded Variance, in Proceedings of 14th SIAM International Conference on Data Mining (SDM), Philadelphia, Pennsylvania, USA, 2014.
  5. Ruoqian Liu, Zhengzhang Chen, Tony Fast, Surya Kalidindi, Ankit Agrawal, and Alok Choudhary, Predictive Modeling in Characterizing Localization Relationships, 2014 TMS Annual Meeting & Exhibition, Symposium of Data Analytics for Materials Science and Manufacturing, San Diego, CA, USA, 2014.
  6. Ruoqian Liu, Abhishek Kumar, Zhengzhang Chen, Ankit Agrawal, Veera Sundararaghavan, and Alok Choudhary, Data Mining Approach in Structure-Property Optimization, 2014 TMS Annual Meeting & Exhibition, Symposium of Data Analytics for Materials Science and Manufacturing,San Diego, CA, 2014.
  7. Zhengzhang Chen, Yusheng Xie, Yu Cheng, Kunpeng Zhang, Ankit Agrawal, Wei-keng Liao, Nagiza Samatova, and Alok Choudhary, Forecast Oriented Classification of Spatio-Temporal Extreme Events, in Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI), Beijing, China, 2013.
  8. Yu Cheng, Zhengzhang Chen, Lu Liu, Jiang Wang, Ankit Agrawal, and Alok Choudhary, Feedback-Driven Multiclass Active Learning for Data Streams, in Proceedings of 22th ACM International Conference on Information and Knowledge Management (CIKM), San Francisco, USA, 2013.
  9. Yusheng Xie, Zhengzhang Chen, Kunpeng Zhang, Yu Cheng, Danial K. Honbo, Ankit Agrawal, and Alok Choudhary, MuSES: a Multilingual Sentiment Elicitation System for Social Media Data, IEEE Intelligent Systems, vol. 99, 2013.
  10. Yusheng Xie, Zhengzhang Chen, Kunpeng Zhang, Yu Cheng, Ankit Agrawal, Wei-keng Liao, Alok Choudhary, Detecting and Tracking Disease Outbreaks in Real-time through Social Media, in Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI), Beijing, China, 2013.
  11. Yu Cheng, Zhengzhang Chen, Kunpeng Zhang, Jiang Wang, Ankit Agrawal, and Alok Choudhary, Bootstrapping Active Name Disambiguation with Crowdsourcing, in Proceedings of 22th ACM International Conference on Information and Knowledge Management (CIKM), San Francisco, USA, 2013.
  12. Yusheng Xie, Zhengzhang Chen, Ankit Agrawal, and Alok Choudhary, Random Walk-based Graphical Sampling in Unbalanced Heterogeneous Bipartite Social Graphs, in Proceedings of 22th ACM International Conference on Information and Knowledge Management (CIKM), San Francisco, USA, 2013.
  13. Yusheng Xie, Zhengzhang Chen, Ankit Agrawal, and Alok Choudhary, Elver: Recommending Facebook Pages in Cold Start Situation Without Content Features, in Proceedings of IEEE International Conference on Big Data (BigData), Santa Clara, CA, USA, 2013.
  14. Zhengzhang Chen, John Jenkins, Jinfeng Rao, Alok Choudhary, Fredrick Semazzi, Anatoli V. Melechko, Vipin Kumar, and Nagiza F. Samatova, Automatic Detection and Correction of Multi-class Classification Errors Using System Whole-part Relationships, in Proceedings of the 13th SIAM International Conference on Data Mining (SDM), Austin, Texas, USA, 2013.
  15. Zhengzhang Chen, Ruoqian Liu, Ankit Agrawal, Wei-keng Liao, Vipin Kumar, Fred Semazzi, Nagiza Samatova, and Alok Choudhary, EventForecaster: A Framework for Forecasting Extreme Events in Complex Dynamic Systems, in Proceedings of the Third International Workshop on Climate Informatics 2013 (CI), Boulder, Colorado, USA, 2013
  16. Yu Cheng,Yusheng Xie, Zhengzhang Chen, Songtao Guo, Ankit Agrawal, and Alok Choudhary, JobMiner: A Real-time System for Mining Job-related Patterns from Social Media, in Proceedings of the 19th ACM SIGKDD Conference on Knowledge, Discovery and Data Mining (KDD), Chicago, USA, 2013.
  17. Kunpeng Zhang, Doug Downey, Zhengzhang Chen, Yusheng Xie, Yu Cheng,Ankit Agrawal, Wei-keng Liao, and Alok Choudhary, A Probabilistic Graphical Model for Brand Reputation Assessment in Social Networks, in Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining(ASONAM), Niagara Falls, Canada, 2013.
  18. Yusheng Xie, Zhengzhang Chen, Kunpeng Zhang, Md. Mostofa Ali Patwary, Yu Cheng, Haotian Liu, Ankit Agrawal, and Alok Choudhary, Graphical Modeling of Macro Behavioral Targeting in Social Networks, in Proceedings of the 13th SIAM International Conference on Data Mining (SDM 2013), Austin, Texas, USA, May 2-4, 2013.
  19. Zhengzhang Chen, William Hendrix, Hang Guan, Issac K. Tetteh, Alok Choudhary, Fredrick Semazzi, and Nagiza F. Samatova, Discovery of Extreme Events-Related Communities in Contrasting Groups of Physical System Networks, Data Mining and Knowledge Discovery, vol. 27,no. 2, pp 225-258, 2013.
  20. Zhengzhang Chen, Kanchana Padmanabhan, Andrea M Rocha, Yekaterina Shpanskaya, James R Mihelcic, Kathleen Scott, and Nagiza F. Samatova, SPICE: Discovery of Phenotype-Determining Component Interplays, BMC Systems Biology, vol. 6(1): 40, 2012.
  21. Doel Gonzalez, Zhengzhang Chen, Isaac Tetteh, Tatdow Pansombut, Fredrick Semazzi, Vipin Kumar, Anatoli V. Melechko, and Nagiza F. Samatova, Hierarchical Classifier-Regression Ensemble for Multi-Phase Non-Linear Dynamic System Response Prediction: Application to Climate Analysis, in Proceedings of 12th IEEE International Conference on Data Mining Workshops (ICDMW), Brussels, Belgium, 2012.
  22. Isaac K. Tetteh, Doel Gonzalez, Zhengzhang Chen, Nagiza F. Samatova, and Frederick Semazzi, An Application of a Newly Developed Machine Learning Technique for Predicting Climate-Meningitis Seasonal Outlook Over West Africa, 92nd American Meteorological Society Annual Meeting, 2012.
  23. Zhengzhang Chen, Huseyin Sencan, William Hendrix, Tatdow Pansombut, Frederick Semazzi, Alok Choudhary, Vipin Kumar, Anatoli Melechko, and Nagiza F. Samatova, Classification of Emerging Extreme Event Tracks in Multi-Variate Spatio-Temporal Physical Systems Using Dynamic Network Structures: Application to Hurricane Track Prediction, in Proceedings of Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI), pp 1478–1484, Barcelona, Spain, 2011.
  24. Zhengzhang Chen, William Hendrix, and Nagiza F. Samatova, Community-based Anomaly Detection in Evolutionary Networks, Journal of Intelligent Information Systems: Integrating Artificial Intelligence and Database Technologies, vol. 39(1):59–85, 2011.
  25. Kevin Wilson, Andrea Rocha, Kanchana Padmanabhan, Kuangyu Wang, Zhengzhang Chen, Ye Jin, James Mihelcic, and Nagiza F. Samatova, Detecting Pathway Cross-talks by Analyzing Conserved Functional Modules across Multiple Phenotype-Expressing Organisms, in Proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pages 443–449, Atlanta, GA, USA, November 2011.
  26. Mathew C Schmidt, Andrea M Rocha, Kanchana Padmanabhan, Zhengzhang Chen, Kathleen Scott, James R. Mihelcic, and Nagiza F. Samatova, Efficient Alpha, Beta-motif Finder for Identification of Phenotype-related Functional Modules, BMC Bioinformatics, vol. 12(1):440, 2011.
  27. Zhengzhang Chen, Kevin Wilson, Ye Jin, William Hendrix, and Nagiza F. Samatova, Detecting and Tracking Community Dynamics in Evolutionary Networks, in Proceedings of the IEEE International Conference on Data Mining Workshops, pp. 318–327, 2010
  28. Wenbin Chen, Zhengzhang Chen, and Nagiza F. Samatova, Approximation Algorithms for the Maximum Duo-preservation String Mapping Problem, in Proceedings of IEEE International Conference on Future Information Technology (ICFIT), 2010.
  29. Wenbin Chen, Dengpan Yin, and Zhengzhang Chen, Inapproximability Results for Equations over Infinite Groups, Theoretical Computer Science, 411 (26-28): 25139–2519, 2010.
  30. Zhengzhang Chen,, Xiaoyuan Yang, and Rui Yang, Optimization Technology of 9/7 Wavelet Lifting Scheme on DSP, In Proceedings of SPIE International Symposium on Multispectral Image Processing & Pattern Recognition (MIPPR 2007), pp. 2B1-2B8, vol. 6789, 2007.
  31. Zhengzhang Chen, Bo Li, and Feifei Zhou, The Study on Software Optimization Technology of Remote Sensing Image Compression System Based on DSP Platform, In Proceedings of International Conference on Multimedia Systems and Applications (MSA 2007), pages 145-152, Las Vegas, NE, USA, 2007.
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