Zhengzhang (Zach) Chen

Researcher
Data Science Department
NEC Laboratories America, Inc.
4 Independence Way, Princeton, NJ 08540
E-mail: zchen [at] nec-labs.com; zhengzhang.chen [at] gmail.com
Phone:  +1 609-951-2714



WHO AM I

Welcome to my homepage! I am a researcher in Data Science Department at NEC Laboratories America. Before coming to NEC, I was a Research Assistant Professor, working with Professor Alok Choudhary, in the Department of Electrical Engineering and Computer Science at Northwestern University. I received my Ph.D. from the Department of Computer Science at North Carolina State University in 2012. My adviser is Professor Nagiza F. Samatova

My research interests are in the areas of Graph-based Data Mining, Social Network Mining, Spatial-Temporal Data Analysis, Anomaly Detection, Extreme Event Prediction, Cybersecurity, Bioinformatics and Computational Biology, Signal Processing, and High-Performance Computing. I love to deal with all types of data including massive social media data, climate data, financial data, genome expression data, images, system and I/O log data etc.


Selected Publications 

Book Chapter

  • Kanachana Padmanabhan, Zhengzhang Chen,  Sriram Lakshminarasimhan, Siddarth S. Ramaswamy, and Bryan T. Richardson, “Graph-based Anomaly Detection," In Practical Data Mining with R, CRC Press, 2013.

Journal Articles

  • Yusheng Xie, Zhengzhang Chen, Diana Palsetia, Goce Trajcevski, Ankit Agrawal, and Alok Choudhary, "Silverback+: Scalable Association Mining Via Fast List Intersection For Columnar Social Data," Knowledge and Information Systems, 2016.

  • Qiaojun Wang, Kai Zhang, Zhengzhang Chen, Dequan Wang, Guofei Jiang, and Ivan Marsic, "Enhancing semi-supervised learning through label-aware base kernels," Neurocomputing, 2016.

  • Ruoqian Liu, Abhishek Kumar, Zhengzhang ChenAnkit Agrawal, Veera Sundararaghavan, and Alok Choudhary, “A Predictive Machine Learning Approach for Microstructure Optimization and Materials Design,” Nature Scientific Reports, vol. 5, no. 11551, 2015. [PDF | BibTex]
  • Seung Woo Son, Zhengzhang Chen, William Hendrix, Ankit Agrawal, Wei-keng Liao, and Alok Choudhary, Data Compression for the Exascale Computing Era–Survey,” in Supercomputing Frontiers and Innovations, 2014. [PDF | BibTex]
  • Wenbin Chen, Zhengzhang Chen, Nagiza F. Samatova, Lingxi Peng, Jianxiong Wang, Maobin Tang, Solving the Maximum Duo-preservation String Mapping Problem with Linear Programming, in Theoretical Computer Science, 2014. [PDF | BibTex]
  • 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, in IEEE Intelligent Systems, vol. 99, 2013. [PDF | BibTex]
  • Zhengzhang Chen, William Hendrix, Hang Guan, Isaac K. Tetteh, Alok Choudhary, Fredrick Semazzi, Nagiza F. Samatova. “Discovery of Extreme Events-Related Communities In Contrasting Groups of Physical System Networks,” in Data Mining and Knowledge Discovery, vol. 27(2): 225-258, 2013. [PDF | BibTex
        This research was highlighted by the NSF News, DOE Research News, Science360 News Service, Computing Research Highlight of the Week, The Conversation, and Esciencenews. An extended press at NC State News and McCormick News are available. 
  • 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,in BMC Systems Biology,  vol. 6(1): 40, 2012. [PDF | BibTex]
  • Zhengzhang Chen, William Hendrix, and Nagiza F. Samatova, “Community-based Anomaly Detection in Evolutionary Networks,” in Journal of Intelligent Information Systems: Integrating Artificial Intelligence and Database Technologies, vol. 39(1):59-85, 2011. [PDF | BibTex]
  • 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,” in BMC Bioinformatics, vol. 12(1):440, 2011. [PDF | BibTex]  
  • Wenbin Chen, Dengpan Yin, and Zhengzhang Chen, "Inapproximability Results for Equations over Infinite Groups," in Theoretical Computer Science, 411 (26-28): 2513-2519, 2010. [PDF | BibTex] 

Peer-Reviewed Conference and Workshop Papers

  • Wei Cheng, Kai Zhang, Haifeng Chen, Guofei Jiang, Zhengzhang Chen, Wei Wang, "Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations," In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), San Francisco, 2016. To appear.  (Best Paper Award Runner-Up)
  • Kai Zhang, Shandian Shan, Chaoran Cheng, Zhi Wei, Zhengzhang Chen, Haifeng Chen, Guofei Jiang, Yuan Qi, Jieping Ye, "Annealed Sparsity via Adaptive and Dynamic Shrinking," In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), San Francisco, 2016. To appear.
  • Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, and Kai Zhang, "Entity Embedding-based Anomaly Detection for Heterogeneous Categorical Events," in Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI 2016) New York, July, 2016.
  • Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Haifeng Chen, and Guofei Jiang, "Integrating Community and Role Detection in Information Networks," in Proc of 2016 SIAM Int. Conf. on Data Mining (SDM 2016), Miami, FL, May 2016.
  • Kai Zhang, Qiaojun Wang, Zhengzhang Chen, Ivan Marsic, Vipin Kumar, Geoff Jiang, “From Categorical to Numerical: Multiple Transitive Distance Learning and Embedding,” in Proceedings of 15th SIAM International Conference on Data Mining (SDM 2015), Vancouver, British Columbia, Canada, 2015. 
  • Ruoqian Liu, Zhengzhang ChenAnkit AgrawalWei-keng. Liao, and Alok Choudhary, “Pruned Search: A Machine Learning Based Meta-Heuristic Approach for Constrained Continuous Optimization,” in Proceedings of 8th IEEE International Conference on Contemporary Computing (IC3), India, 2015. 
  • Chen Jin, Ruoqian Liu, Zhengzhang ChenWilliam Hendrix, Ankit Agrawal, and Alok Choudhary,  A Scalable Hierarchical Clustering Algorithm Using Spark,” in Proceedings of The IEEE International Conference on Big Data Computing and Applications (BigDataService 2015), San Francisco Bay, USA, 2015. 
  • Chen Jin, Zhengzhang ChenWilliam Hendrix, Md. Mostofa Ali Patwary, Ankit Agrawal, Wei-keng Liao, and Alok Choudhary,  Incremental, Distributed Single-Linkage Hierarchical Clustering Algorithm Using MapReduce,” in Proceedings of 23rd High Performance Computing Symposium (HPC 2015), Alexandria, VA, USA, 2015. 
  • Chen Jin, Qiang Fu, Huahua Wang, William Hendrix, Zhengzhang ChenAnkit Agrawal, Arindam Banerjee, and Alok Choudhary,  Running MAP Inference on Million Node Graphical Models: A High Performance Computing Perspective,” in Proceedings of 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2015), Shenzhen, China, 2015. 
  • 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 ACM/IEEE Supercomputing Conference (SC 2014), New Orleans, Louisiana, USA 2014. [PDF | BibTex]
  • 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. 
  • Yu Cheng, Zhengzhang Chen, Hongliang Fei, Fei Wang, and Alok Choudhary, “Batch Mode Active Learning with Hierarchical-Structured EmbeddedVariance,” in Proceedings of 14th SIAM International Conference on Data Mining (SDM 2014), Philadelphia, Pennsylvania, USA, 2014. 
  • Ruoqian Liu, Zhengzhang Chen, Tony Fast, S Kalidindi,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. 
  • 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. 
  • 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 2013), San Francisco, USA, 2013. [PDF | BibTex]
  • 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 2013), San Francisco, USA, 2013. [PDF | BibTex]
  • 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 2013), San Francisco, USA, 2013. [PDF | BibTex]
  • 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 2013), Santa Clara, CA, USA, 2013. [PDF | BibTex]
  • Zhengzhang Chen, Yusheng Xie, Yu Cheng, Kunpeng Zhang, Ankit Agrawal, Wei-keng Liao, Nagiza F. Samatova, and Alok Choudhary, Forecast Oriented Classification of Spatio-Temporal Extreme Events,” in Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), Beijing, China, August 2013. [PDF | BibTex]
  • Zhengzhang Chen*, Yusheng Xie*, Kunpeng Zhang, Yu Cheng, Ankit Agrawal, Wei-keng Liao, and 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 2013), Beijing, China, August 2013. (*Both authors contribute equally) [PDF | BibTex]
  • 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 (SIGKDD 2013) to be held in Chicago, USA, on August 11-14, 2013. [PDF | BibTex]
  • 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 2013) to be held in Niagara Falls, Canada, August 25-28, 2013. [PDF | BibTex]
  • 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 2013), Austin, Texas, USA, May 2-4, 2013. [PDF | BibTex]
  • 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.  [PDF | BibTex]
  • Zhengzhang Chen*, Huseyin Sencan*, William Hendrix, Tatdow Pansombut, Frederick Semazzi, Alok Choudhary, Vipin Kumar, Anatoli V. 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 the Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI 2011), pages 1478-1484, Barcelona, Spain, July, 2011. (*Both authors contribute equally) [PDF | BibTex]
         This research was highlighted by the DOE ASCR Discovery web-magazine.
  • Zhengzhang Chen, Kevin Wilson, Ye Jin, William Hendrix, and Nagiza F. Samatova,Detecting and Tracking Community Dynamics in Evolutionary Networks,” In Proceedings of the 10th IEEE International Conference on Data Mining Workshops (ICDMW 2010), pages 318-327, Sydney, Australia, December 2010.  [PDF | BibTex]
  • 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 the 12th IEEE International Conference on Data Mining Workshops (ICDMW 2012), Brussels, Belgium, December 2012. [PDF | BibTex]
  • 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, January 2012. [Abstract | BibTex]
  • 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 2011), pages 443-449, Atlanta, GA, USA, November 2011. [PDF | BibTex]
  • 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), 2010. [PDF | BibTex]
  • 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, June, 2007. [PDF | BibTex]
  •  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. [PDF | BibTex]
  • Xiaoyuan Yang, Hui Ren, Bo Li, and Zhengzhang Chen, “Wavelet Image Compression Based on Context Predicting With Past Information in Rows (Columns),” In Proceedings of IEEE International Conference on Natural Computing (ICIN 2007), pp. 629-636, 2007. [PDF | BibTex]
  • Yong Shi, Liqiang He, Yihong Wen, Bo Li, and Zhengzhang Chen, An Efficient Lossless Compression Algorithm for Well Logging Result Drawings,” In Proceedings of IEEE International Conference on Image and Graphics (ICIG 2007), pp. 200-204, 2007. [PDF | BibTex] 

Services
  • Reviewer or PC member for Data Mining and Knowledge Discovery, IEEE Transaction on Knowledge and Data Engineering, Concurrency and Computation Journal, Journal of Computer and Communications, PLOS ONE, IEEE Transactions on Network Science and Engineering, Applied Computing and Informatics, Journal of Electronic Commerce Research, EURASIP Journal on Bioinformatics and Systems Biology, Current Synthetic & System Biology, Integrating Materials and Manufacturing InnovationIEEE/CIC ICCC'15, AAAI2014, ICWSM2014, ICCC 2014 SNBD, ICWSM2013, IJCAI 2013, IKE 2013, ICDM 2012 etc.
  • External Reviewer for SSDM 2011, IPDPS 2011, SSDM 2010, ICPP 2009 etc.