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2019
Shreyansh Bhatt, Swati Padhee, Amit Sheth, Keke Chen, Valerie Shalin, Derek Doran, Brandon Minnery. Knowledge Graph Enhanced Community Detection and Characterization. In Twelfth ACM International Conference on Web Search and Data Mining. Melbourne, Australia: ACM; 2019. p. 51-59.  (1.47 MB)
2017
Wenbo Wang, Lu Chen, Keke Chen, Krishnaprasad Thirunarayan, Amit Sheth. Adaptive Training Instance Selection for Cross-Domain Emotion Identification. In WI ’17. Leipzig, Germany; 2017.  (710.53 KB)
Sagar Sharma, Keke Chen. PrivateGraph: A Cloud-Centric System for Spectral Analysis of Large Encrypted Graphs. In Distributed Computing Systems (ICDCS), 2017 IEEE 37th International Conference. Atlanta, GA, USA: IEEE; 2017.
Keke Chen, Bharath Avusherla, Sarah Allison, Vincent Schmidt. SPIN: Cleaning, Monitoring, and Querying Image Streams Generated by Ground-Based Telescopes for Space Situational Awareness. 2017 ;. Citation Keke Chen, Bharath Avusherla, Sarah Allison ,Vincent Schmidt Data Intensive Analysis and Computing Lab Department of Computer Science and Engineering Wright State University, OH, USA E-mail: {keke.chen, avusherla.2, allison.24}@wright.edu
Citation Keke Chen, Bharath Avusherla, Sarah Allison ,Vincent Schmidt Data Intensive Analysis and Computing Lab Department of Computer Science and Engineering Wright State University, OH, USA E-mail: {keke.chen, avusherla.2, allison.24}@wright.edu
 (2.5 MB)
2016
Sagar Sharma, James Powers, Keke Chen. Privacy-Preserving Spectral Analysis of Large Graphs in Public Clouds. Asia Conference on Computer and Communications Security 2016. Xi'an, China: ACM; 2016. p. 71-82.
Lu Zhou, Wenbo Wang, Keke Chen. Tweet Properly: Analyzing Deleted Tweets to Understand and Identify Regrettable Ones. 25th International World Wide Web Conference (WWW 2016). Montreal, Canada: ACM; 2016. p. 603-612.  (367.25 KB)
2015
Zohreh Alavi, Sagar Sharma, Lu Zhou, Keke Chen. Scalable Euclidean Embedding for Big Data. 2015 IEEE 8th International Conference on Cloud Computing. New York City, NY: IEEE; 2015. p. 773 - 780.
2007
Ling Liu, Keke Chen. Document Clustering and Ranking System for Exploring MEDLINE Citations. 2007 ;.  (0 bytes)
Zhaohui Zheng, Hongyuan Zha, Gordon Sun, Olivier Chapelle, Keke Chen, Tong Zhang. A General Boosting Method and its Application to Learning Ranking Functions for Web Search. In A General Boosting Method and its Application to Learning Ranking Functions for Web Search. 2007.  (0 bytes)
Keke Chen, Hongyuan Zha, Gordon Sun, Zhaohui Zheng. A Regression Framework for Learning Ranking Functions Using Relative Relevance Judgments. In A Regression Framework for Learning Ranking Functions Using Relative Relevance Judgments. 2007.  (0 bytes)
Keke Chen, Ling Liu. Space Adaptation: Privacy-preserving Multiparty Collaborative Mining with Geometric Perturbation. In Space Adaptation: Privacy-preserving Multiparty Collaborative Mining with Geometric Perturbation. 2007.  (0 bytes)
Ling Liu, Keke Chen. Towards Attack-Resilient Geometric Data Perturbation. In Towards Attack-Resilient Geometric Data Perturbation. 2007.  (0 bytes)
2005
Keke Chen, Ling Liu. The "Best K" for Entropy-based Categorical Clustering. In The "Best K" for Entropy-based Categorical Clustering. 2005.  (0 bytes)
Keke Chen, Ling Liu. Privacy-Preserving Data Classification with Rotation Perturbation. In IEEE International Conference on Data Mining 2005 (ICDM 2005). Houston, Texas; 2005.
2003
Ling Liu, Keke Chen. Cluster Rendering of Skewed Datasets via Visualization. In Cluster Rendering of Skewed Datasets via Visualization. 2003.  (0 bytes)
Ling Liu, Keke Chen. Validating and Refining Clusters via Visual Rendering. In Validating and Refining Clusters via Visual Rendering. 2003.  (0 bytes)
Ling Liu, Keke Chen. A Visual Framework Invites Human into the Clustering Process. In A Visual Framework Invites Human into the Clustering Process. 2003.  (0 bytes)