| 2026 | ICCS | Feature Extractor Comparison for Distribution Matching Framework in Dataset Distillation. | Muyang Li, Zeheng He, Yi Qu, Yong Shi |
| 2026 | SIGCSE | Promoting Quantum-based Machine Learning through Multifaceted Activities. | Yong Shi, Dan C. Lo, Valentina Nino, Hongmei Chi, Kun Suo, Tu Nguyen |
| 2025 | EMNLP | ICL-Bandit: Relevance Labeling in Advertisement Recommendation Systems via LLM. | Lu Wang, Chiming Duan, Pu Zhao, Fangkai Yang, Yong Shi, Xuefeng Luo, Bingjing Xu, Weiwei Deng, Qingwei Lin, Dongmei Zhang |
| 2025 | ICCS | Dataset Distillation via Kantorovich-Rubinstein Dual of Wasserstein Distance. | Muyang Li, Jiayu Xue, Yong Shi |
| 2025 | MASS | Characterizing and Understanding Energy Footprint and Efficiency of Small Language Model on Edges. | Md. Romyull Islam, Bobin Deng, Nobel Dhar, Tu N. Nguyen, Selena He, Yong Shi, Kun Suo |
| 2025 | SIGCSE | Three-stage Learning with Portable Online Hands-on Labware for Quantum-based Machine Learning Development. | Yong Shi, Dan C. Lo, Hongmei Chi, Andrew Polisetty, Kun Suo, Tu Nguyen |
| 2025 | SOFTCOM | Minimizing Cost in Bistatic Radar Placement for Belt Coverage. | Ethan Hunt, Bing-Hong Liu, Tu N. Nguyen, Yong Shi, Kun Suo |
| 2024 | ICDM | Outlier Exposure in Visual Industrial Anomaly Detection - Survey. | Yong Shi, Ruijie Xu, Zhiquan Qi |
| 2024 | ICDM | Structure Aware Loss for Deep Unsupervised Industrial Image Registration. | Yong Shi, Mengjin Lyu, Zhiquan Qi |
| 2023 | COMPSAC | AI-Assisted Security: A Step towards Reimagining Software Development for a Safer Future. | Yong Shi, Nazmus Sakib, Hossain Shahriar, Dan Lo, Hongmei Chi, Kai Qian |
| 2023 | ICSE | An Empirical Comparison on the Results of Different Clone Detection Setups for C-based Projects. | Yan Zhou, Jinfu Chen, Yong Shi, Boyuan Chen, Zhen Ming Jack Jiang |
| 2023 | WWW | HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering. | Haoxin Liu, Pu Zhao, Si Qin, Yong Shi, Mirror Xu, Qingwei Lin, Dongmei Zhang |
| 2023 | SIGCSE | Collaborative and Active Learning with Portable Online Hands-on Labware for Blockchain Development. | Yong Shi, Hossain Shahriar, Dan C. Lo, Kai Qian, Hongmei Chi |
| 2023 | SRDS | Subdomain Protection is Needed: An SPF and DMARC-Based Empirical Measurement Study and Proactive Solution of Email Security. | Han Zhang, Dengke Mi, Libo Chen, Ming Liu, Yong Shi, Zhi Xue |
| 2022 | COMPSAC | Improving the Prediction Accuracy with Feature Selection for Ransomware Detection. | Chulan Gao, Hossain Shahriar, Dan Lo, Yong Shi, Kai Qian |
| 2022 | COMPSAC | Broaden Multidisciplinary Data Science Research by an Innovative Cyberinfrastructure Platform. | Dan Chia-Tien Lo, Kai Qian, Yong Shi, Hossain Shahriar, Chung Ng |
| 2022 | IPCCC | Energy Efficiency on Edge Computing: Challenges and Vision. | Tyler Holmes, Charlie McLarty, Yong Shi, Patrick Bobbie, Kun Suo |
| 2022 | IPCCC | Keep Clear of the Edges : An Empirical Study of Artificial Intelligence Workload Performance and Resource Footprint on Edge Devices. | Kun Suo, Tu N. Nguyen, Yong Shi, Jing Selena He, Chih-Cheng Hung |
| 2022 | ICSE | Towards Training Reproducible Deep Learning Models. | Boyuan Chen, Mingzhi Wen, Yong Shi, Dayi Lin, Gopi Krishnan Rajbahadur, Zhen Ming Jiang |
| 2022 | ICSE | Towards Build Verifiability for Java-based Systems. | Jiawen Xiong, Yong Shi, Boyuan Chen, Filipe Roseiro Cgo, Zhen Ming Jiang |
| 2022 | PAKDD | IDSGAN: Generative Adversarial Networks for Attack Generation Against Intrusion Detection. | Zilong Lin, Yong Shi, Zhi Xue |
| 2021 | SAC | Quantifying context switch overhead of artificial intelligence workloads on the cloud and edges. | Kun Suo, Yong Shi, Chih-Cheng Hung, Patrick Bobbie |
| 2020 | AAAI | Learning to Incorporate Structure Knowledge for Image Inpainting. | Jie Yang, Zhiquan Qi, Yong Shi |
| 2020 | TrustCom | A PHP and JSP Web Shell Detection System With Text Processing Based On Machine Learning. | Han Zhang, Ming Liu, Zihan Yue, Zhi Xue, Yong Shi, Xiangjian He |
| 2020 | SIGCOMM | Tackling Cold Start in Serverless Computing with Container Runtime Reusing. | Kun Suo, Yong Shi, Xiaohua Xu, Dazhao Cheng, Wei Chen |
| 2019 | ICCS | A Brief Survey of Relation Extraction Based on Distant Supervision. | Yong Shi, Yang Xiao, Lingfeng Niu |
| 2018 | CSCWD | City Brain, a New Architecture of Smart City Based on the Internet Brain. | Liu Feng, Fangyao Liu, Yong Shi |
| 2018 | ICCS | Deep Streaming Graph Representations. | Minglong Lei, Yong Shi, Peijia Li, Lingfeng Niu |
| 2018 | ICCS | A Novel Data Mining Approach Towards Human Resource Performance Appraisal. | Pei Quan, Ying Liu, Tianlin Zhang, Yueran Wen, Kaichao Wu, Hongbo He, Yong Shi |
| 2018 | ICCS | Word Similarity Fails in Multiple Sense Word Embedding. | Yong Shi, Yuanchun Zheng, Kun Guo, Wei Li, Luyao Zhu |
| 2018 | ICDM | A Survey on Semantic Segmentation. | Biao Li, Yong Shi, Zhiquan Qi, Zhensong Chen |
| 2018 | ICDM | Intrinsic or Extrinsic Evaluation: An Overview of Word Embedding Evaluation. | Yong Shi, Yuanchun Zheng, Kun Guo, Luyao Zhu, Yi Qu |
| 2018 | ICIP | Multi-View Fusion Through Cross-Modal Retrieval. | Limeng Cui, Zhensong Chen, Jiawei Zhang, Lifang He, Yong Shi, Philip S. Yu |
| 2018 | IJCNN | Character-Level Intrusion Detection Based On Convolutional Neural Networks. | Steven Z. Lin, Yong Shi, Zhi Xue |
| 2017 | ICCCN | Hands-On Learning for Computer Network Security with Mobile Devices. | Kai Qian, Yong Shi, Lixin Tao, Ying Qian |
| 2017 | ICCS | Improved New Word Detection Method Used in Tourism Field. | Wei Li, Kun Guo, Yong Shi, Luyao Zhu, Yuanchun Zheng |
| 2017 | ICCS | Large-scale Nonparallel Support Vector Ordinal Regression Solver. | Huadong Wang, Jianyu Miao, Seyed Mojtaba Hosseini Bamakan, Lingfeng Niu, Yong Shi |
| 2017 | ICDM | A Feasible Direction Method for Optimization Problem with Orthogonal Constraint in Feature Selection. | Jianyu Miao, Yong Shi, Lingfeng Niu |
| 2017 | ICORES | A Fuzzy Chance-constraint Programming Model for a Home Health Care Routing Problem with Fuzzy Demand. | Yong Shi, Toufik Boudouh, Olivier Grunder |
| 2017 | IECON | Harmonic generation for renewable energy converter test. | Jidong Lai, Xiaoyu Min, Jianhui Su, Lei Guo, Shilin Guo, Xiangzhen Yang, Yong Shi |
| 2016 | COMPSAC | Teaching Secure Cloud Computing Concepts with Open Source CloudSim Environment. | Yong Shi, Dan Chia-Tien Lo, Kai Qian |
| 2016 | ICCS | Ramp Loss Linear Programming Nonparallel Support Vector Machine. | Dalian Liu, Dandan Chen, Yong Shi, Yingjie Tian |
| 2016 | ICDM | Laplacian SVM for Learning from Label Proportions. | Limeng Cui, Zhensong Chen, Fan Meng, Yong Shi |
| 2016 | SIGITE | An Open and Portable Platform for Learning Data Security in Mobile Cloud Computing. | Lei Li, Kai Qian, Ragib Hasan, Qian Chen, Dalei Wu, Yong Shi |
| 2015 | ICDM | Pedestrian Detection Using Privileged Information. | Zhiquan Qi, Yingjie Tian, Lingfeng Niu, Fan Meng, Limeng Cui, Yong Shi |
| 2015 | ICDM | Alternating Direction Method of Multipliers for Nonparallel Support Vector Machines. | Xin Shen, Lingfeng Niu, Yingjie Tian, Yong Shi |
| 2015 | ICDM | Large-Scale Linear Support Vector Ordinal Regression Solver. | Yong Shi, Huadong Wang, Lingfeng Niu |
| 2014 | ICCS | Historical Claims Data based Hybrid Predictive Models for Hospitalization. | Chengcheng Liu, Yong Shi |
| 2014 | ICDM | Measuring and Predicting Systemic Risk in the Chinese Banking System. | Yibing Chen, Yong Shi, Cheng-Few Lee, Minqiang Li, Yuewen Liu |
| 2014 | ICDM | A Hierarchy Method Based on LDA and SVM for News Classification. | Limeng Cui, Fan Meng, Yong Shi, Minqiang Li, An Liu |
| 2014 | ICDM | Misclassification Minimization Based on Multiple Criteria Linear Programming. | Bo Wang, Yong Shi, Wayne Wei Huang, Guanfeng Liu |
| 2014 | ICDM | Active Learning with Nonparallel Support Vector Machine for Binary Classification. | Xi Zhao, Zhensong Chen, Yong Shi |
| 2013 | ICCS | Sectoral Diversification and the Banks' Return and Risk: Evidence from Chinese Listed Commercial Banks. | Yibing Chen, Xianhua Wei, Lingling Zhang, Yong Shi |
| 2013 | ICCS | A Simple Regularized Multiple Criteria Linear Programs for Binary Classification. | Lingfeng Niu, Xi Zhao, Yong Shi |
| 2013 | ICCS | Cost-Sensitive Support Vector Machine for Semi-Supervised Learning. | Zhiquan Qi, Yingjie Tian, Yong Shi, Xiaodan Yu |
| 2013 | ICCS | The Application of Multiple Criteria Linear Programming in Advertisement Clicking Events Prediction. | Fang Wang, Peng Zhang, Yanmin Shang, Yong Shi |
| 2013 | ICDM | How to Improve the Quality of Pedestrian Detection Using the Priori Knowledge. | Zhiquan Qi, Yingjie Tian, Xiaodan Yu, Yong Shi |
| 2012 | ICDM | Regular Multiple Criteria Linear Programming for Semi-supervised Classification. | Zhiquan Qi, Yingjie Tian, Yong Shi |
| 2012 | IDEAL | An Approach to Reshaping Clusters for Nearest Neighbor Search. | Yong Shi, Brian Graham |
| 2012 | KDD | China's national personal credit scoring system: a real-life intelligent knowledge application. | Yong Shi |
| 2011 | ICDM | Post Mining of Multiple Criteria Linear Programming Classification Model for Actionable Knowledge in Credit Card Churning Management. | Yibing Chen, Lingling Zhang, Yong Shi |
| 2011 | ICDM | Entity Resolution with Attribute and Connection Graph. | Lingfeng Niu, Jianmin Wu, Yong Shi |
| 2011 | ICDM | Classification for Orange Varieties Using Near Infrared Spectroscopy. | Warawut Suphamitmongkol, Guangli Nie, Rong Liu, Yong Shi |
| 2011 | ICRA | A magnetic thin film microrobot with two operating modes. | Wuming Jing, Xi Chen, Sean Lyttle, Zhenbo Fu, Yong Shi, David J. Cappelleri |
| 2010 | GRC | Analysis to the Contributions from Feature Attributes in Nonlinear Classification Based on the Choquet Integral. | Jing Chu, Zhenyuan Wang, Yong Shi |
| 2010 | GRC | A Nonlinear Multiregression Model Based on the Choquet Integral with a Quadratic Core. | Nian Yan, Zhengxin Chen, Yong Shi, Zhenyuan Wang |
| 2010 | ICDM | Find Intelligent Knowledge by Second-Order Mining: Three Cases from China. | Guangli Nie, Lingling Zhang, Yuejin Zhang, Wei Deng, Yong Shi |
| 2010 | ICDM | Semi-supervised PLSA for Document Clustering. | Lingfeng Niu, Yong Shi |
| 2010 | ICDM | Subspace Distance-Based Sampling Method for SVM. | Xiaofei Zhou, Yong Shi |
| 2010 | ICMLC | A trusted computing environment model in cloud architecture. | Xiaoyong Li, Litao Zhou, Yong Shi, Yu Guo |
| 2009 | FUSION | Adaptive UKF for target tracking with unknown process noise statistics. | Yong Shi, Chongzhao Han, Yongqi Liang |
| 2009 | FUSION | Improved divided difference filter based on Newton-Raphson method for target tracking. | Yong Shi, Chongzhao Han, Yongqi Liang |
| 2009 | ICCS | Finding the Hidden Pattern of Credit Card Holder's Churn: A Case of China. | Guangli Nie, Guoxun Wang, Peng Zhang, Yingjie Tian, Yong Shi |
| 2009 | ICCS | Knowledge-Rich Data Mining in Financial Risk Detection. | Yi Peng, Gang Kou, Yong Shi |
| 2009 | ICCS | Chairs' Introduction to Workshop on Computational Finance and Business Intelligence. | Yong Shi, Shouyang Wang, Xiaotie Deng |
| 2009 | ICCS | Multiple Criteria Quadratic Programming for Financial Distress Prediction of the Listed Manufacturing Companies. | Ying Wang, Peng Zhang, Guangli Nie, Yong Shi |
| 2009 | ICCS | The Measurement of Distinguishing Ability of Classification in Data Mining Model and Its Statistical Significance. | Lingling Zhang, Qingxi Wang, Jie Wei, Xiao Wang, Yong Shi |
| 2009 | ICCS | Bias-Variance Analysis for Ensembling Regularized Multiple Criteria Linear Programming Models. | Peng Zhang, Xingquan Zhu, Yong Shi |
| 2009 | ICCS | Kernel Based Regularized Multiple Criteria Linear Programming Model. | Yuehua Zhang, Peng Zhang, Yong Shi |
| 2009 | ICCS | Nearest Neighbor Convex Hull Classification Method for Face Recognition. | Xiaofei Zhou, Yong Shi |
| 2009 | ICDM | A New Kernel-Based Classification Algorithm. | Xiaofei Zhou, Wenhan Jiang, Yingjie Tian, Peng Zhang, Guangli Nie, Yong Shi |
| 2009 | PAKDD | An Aggregate Ensemble for Mining Concept Drifting Data Streams with Noise. | Peng Zhang, Xingquan Zhu, Yong Shi, Xindong Wu |
| 2008 | APWEB | A Family of Optimization Based Data Mining Methods. | Yong Shi, Rong Liu, Nian Yan, Zhenxing Chen |
| 2008 | APWEB | An Effective Feature Selection Method Using the Contribution Likelihood Ratio of Attributes for Classification. | Zhiwang Zhang, Yong Shi, Guangxia Gao, Yaohui Chai |
| 2008 | ICCS | Bound for the L2 Norm of Random Matrix and Succinct Matrix Approximation. | Rong Liu, Nian Yan, Yong Shi, Zhengxin Chen |
| 2008 | ICCS | Multiple Criteria Mathematical Programming and Data Mining. | Yong Shi, Rong Liu, Nian Yan, Zhenxing Chen |
| 2008 | ICCS | Workshop on Computational Finance and Business Intelligence. | Yong Shi, Shouyang Wang, Xiaotie Deng |
| 2008 | ICCS | An Optimization-Based Classification Approach with the Non-additive Measure. | Nian Yan, Zhengxin Chen, Rong Liu, Yong Shi |
| 2008 | ICCS | A Rough Set-Based Multiple Criteria Linear Programming Approach for Classification. | Zhiwang Zhang, Yong Shi, Peng Zhang, Guangxia Gao |
| 2008 | ICCS | Select Representative Samples for Regularized Multiple-Criteria Linear Programming Classification. | Peng Zhang, Yingjie Tian, Xingsen Li, Zhiwang Zhang, Yong Shi |
| 2008 | ICCS | A Selection Method of ETF's Credit Risk Evaluation Indicators. | Ying Zhang, Zongfang Zhou, Yong Shi |
| 2008 | ICDM | Cleansing Noisy Data Streams. | Xingquan Zhu, Peng Zhang, Xindong Wu, Dan He, Chengqi Zhang, Yong Shi |
| 2008 | IJCNN | Adaptive on-line registration algorithm based on GLR. | Feng Lian, Chongzhao Han, Yong Shi |
| 2008 | IRI | An empirical study of supervised learning for biological sequence profiling and microarray expression data analysis. | Abu H. M. Kamal, Xingquan Zhu, Abhijit S. Pandya, Sam Hsu, Yong Shi |
| 2008 | KDD | Categorizing and mining concept drifting data streams. | Peng Zhang, Xingquan Zhu, Yong Shi |
| 2007 | CIDM | From similarity retrieval to cluster analysis: The case of R*-trees. | Jiaxiong Pi, Yong Shi, Zhengxin Chen |
| 2007 | FUSION | The divided difference particle filter. | Yong Shi, Chongzhao Han |
| 2007 | ICCS | Kimberlites Identification by Classification Methods. | Yaohui Chai, Aihua Li, Yong Shi, Jing He, Keliang Zhang |
| 2007 | ICCS | epsilon-Support Vector and Large-Scale Data Mining Problems. | Gang Kou, Yi Peng, Yong Shi, Zhengxin Chen |
| 2007 | ICCS | A Fuzzy Comprehensive Evaluation Method on Firms' Credit Sale Risk. | Guoqiang Liu, Zongfang Zhou, Xinmin Song, Yong Shi |
| 2007 | ICCS | A Combined Web Mining Model and Its Application in Crisis Management. | Xingsen Li, Lingling Zhang, Maoliang Ding, Yong Shi, Jun Li |
| 2007 | ICCS | Application of Classification Methods to Individual Disability Income Insurance Fraud Detection. | Yi Peng, Gang Kou, Alan Sabatka, Jeff Matza, Zhengxin Chen, Deepak Khazanchi, Yong Shi |
| 2007 | ICCS | Pushing Frequency Constraint to Utility Mining Model. | Jing Wang, Ying Liu, Lin Zhou, Yong Shi, Xingquan Zhu |
| 2007 | ICCS | The Characteristic Analysis of Web User Clusters Based on Frequent Browsing Patterns. | Zhiwang Zhang, Yong Shi |
| 2007 | ICCS | Feature Selection for VIP E-Mail Accounts Analysis. | Zhan Zhang, Yingjie Tian, Yong Shi |
| 2007 | ICCS | A New Multi-Criteria Quadratic-Programming Linear Classification Model for VIP E-Mail Analysis. | Peng Zhang, Juliang Zhang, Yong Shi |
| 2007 | ICCS | A Dynamic Committee Scheme on Multiple-Criteria Linear Programming Classification Method. | Meihong Zhu, Yong Shi, Aihua Li, Jing He |
| 2007 | ICDM | Cluster Analysis and Optimization in Color-Based Clustering for Image Abstract. | Jing He, Guangyan Huang, Yanchun Zhang, Yong Shi |
| 2007 | ICDM | Succinct Matrix Approximation and Efficient k-NN Classification. | Rong Liu, Yong Shi |
| 2007 | ICDM | A Regularized Multiple Criteria Linear Program for Classification. | Yong Shi, Yingjie Tian, Xiaojun Chen, Peng Zhang |
| 2007 | ICDM | Utility-Based Web Path Traversal Pattern Mining. | Lin Zhou, Ying Liu, Jing Wang, Yong Shi |
| 2007 | ICDM | Active Learning from Data Streams. | Xingquan Zhu, Peng Zhang, Xiaodong Lin, Yong Shi |
| 2007 | IJCAI | An Empirical Study of the Noise Impact on Cost-Sensitive Learning. | Xingquan Zhu, Xindong Wu, Taghi M. Khoshgoftaar, Yong Shi |
| 2007 | KSEM | A Multi-criteria Decision Support System of Water Resource Allocation Scenarios. | Jing He, Yanchun Zhang, Yong Shi |
| 2006 | AICCSA | Evaluation of Cluster Analysis Algorithms Enhanced by Using R*-Trees. | Jiaxiong Pi, Yong Shi, Zhengxin Chen |
| 2006 | ICCS | Pattern Recognition for MCNs Using Fuzzy Linear Programming. | Jing He, Wuyi Yue, Yong Shi |
| 2006 | ICCS | A New Multi-criteria Convex Quadratic Programming Model for Credit Analysis. | Gang Kou, Yi Peng, Yong Shi, Zhengxin Chen |
| 2006 | ICCS | Multiclass Credit Cardholders' Behaviors Classification Methods. | Gang Kou, Yi Peng, Yong Shi, Zhengxin Chen |
| 2006 | ICCS | Credit Risk Evaluation Based on LINMAP. | Tai-yong Mou, Zongfang Zhou, Yong Shi |
| 2006 | ICDM | Network Intrusion Detection by Multi-group Mathematical Programming based Classifier. | Gang Kou, Yi Peng, Yong Shi, Zhengxin Chen |
| 2006 | ICDM | A Knowledge Management Platform for Optimization-based Data Mining. | Xingsen Li, Yong Shi, Ying Liu, Jun Li, Aihua Li |
| 2006 | ICDM | A Data Mining Approach to Classify Credit Cardholders' Behavior. | Aihua Li, Yong Shi, Meihong Zhu, Jingran Dai |
| 2006 | ICDM | A RBF classifier with supervised center selection and weighted norm. | Rong Liu, Yong Shi |
| 2006 | ICDM | The Analysis on the Customers Churn of Charge Email Based on Data Mining Take One Internet Company for Example. | Guangli Nie, Lingling Zhang, Xingsen Li, Yong Shi |
| 2006 | ICDM | A Systemic Framework for the Field of Data Mining and Knowledge Discovery. | Yi Peng, Gang Kou, Yong Shi, Zhengxin Chen |
| 2006 | ICDM | A Hybrid Strategy for Clustering Data Mining Documents. | Yi Peng, Gang Kou, Yong Shi, Zhengxin Chen |
| 2006 | SAC | Tree inclusion algorithm, signatures and evaluation of path-oriented queries. | Yangjun Chen, Yong Shi, Yibin Chen |
| 2005 | ICCS | Credit Scoring via PCALWM. | Jianping Li, Weixuan Xu, Yong Shi |
| 2005 | ICCS | Improving Clustering Analysis for Credit Card Accounts Classification. | Yi Peng, Gang Kou, Yong Shi, Zhengxin Chen |
| 2005 | ICDE | Towards Exploring Interactive Relationship between Clusters and Outliers in Multi-Dimensional Data Analysis. | Yong Shi, Aidong Zhang |
| 2004 | ICCS | Using Branch-Grafted R-trees for Spatial Data Mining. | Priyanka Dubey, Zhengxin Chen, Yong Shi |
| 2004 | ICCS | Support Vector Machines Approach to Credit Assessment. | Jianping Li, Jingli Liu, Weixuan Xu, Yong Shi |
| 2004 | ICCS | Cross-Validation and Ensemble Analyses on Multiple-Criteria Linear Programming Classification for Credit Cardholder Behavior. | Yi Peng, Gang Kou, Zhengxin Chen, Yong Shi |
| 2004 | SSDBM | A Shrinking-Based Dimension Reduction Approach for Multi-Dimensional Data Analysis. | Yong Shi, Aidong Zhang |
| 2003 | ICCS | A Set of Data Mining Models to Classify Credit Cardholder Behavior. | Gang Kou, Yi Peng, Yong Shi, Weixuan Xu |
| 2003 | VLDB | A Shrinking-Based Approach for Multi-Dimensional Data Analysis. | Yong Shi, Yuqing Song, Aidong Zhang |
| 2002 | SDM | VizCluster: An Interactive Visualization Approach to Cluster Analysis and Its Application on Microarray Data. | Li Zhang, Chun Tang, Yong Shi, Yuqing Song, Aidong Zhang, Murali Ramanathan |