Quality-Aware Sampling and Its Applications in Incremental Data Mining. - Kun-Ta Chuang; Keng-Pei Lin; Ming-Syan Chen (IEEE Trans. Knowl. Data Eng., 2007)

Releasing the SVM Classifier with Privacy-Preservation. - Keng-Pei Lin; Ming-Syan Chen (ICDM, 2008)

Asymmetric support vector machines: low false-positive learning under the user tolerance. - Shan-Hung Wu; Keng-Pei Lin; Chung-Min Chen; Ming-Syan Chen (KDD, 2008)

Privacy-preserving outsourcing support vector machines with random transformation. - Keng-Pei Lin; Ming-Syan Chen (KDD, 2010)

Towards communication-efficient private location dependent queries. - Keng-Pei Lin; Ming-Syan Chen (SAC, 2011)

Efficient Kernel Approximation for Large-Scale Support Vector Machine Classification. - Ming-Syan Chen; Keng-Pei Lin (SDM, 2011)

On the Design and Analysis of the Privacy-Preserving SVM Classifier. - Keng-Pei Lin; Ming-Syan Chen (IEEE Trans. Knowl. Data Eng., 2011)

Privacy-Preserving Kernel k-Means Outsourcing with Randomized Kernels. - Keng-Pei Lin (ICDM Workshops, 2013)

On Generalizable Low False-Positive Learning Using Asymmetric Support Vector Machines. - Shan-Hung Wu; Keng-Pei Lin; Hao-Heng Chien; Chung-Min Chen; Ming-Syan Chen (IEEE Trans. Knowl. Data Eng., 2013)

Efficient Approximation for Large-Scale Kernel Clustering Analysis. - Keng-Pei Lin; Yu-Chen Yang (PACIS, 2014)

Identifying Highly Potential Enterprises with Social Computing on Supply Chain Networks. - Te-Min Chang; Chao-Hsien Sung; Guo-Hsin Hu; Ming-Fu Hsu; Keng-Pei Lin (SmartCity, 2015)

Personalized Hotel Recommendation Using Text Mining and Mobile Browsing Tracking. - Keng-Pei Lin; Chia-Yu Lai; Po-Cheng Chen; San-Yih Hwang (SMC, 2015)

Secure support vector machines outsourcing with random linear transformation. - Keng-Pei Lin; Yi-Wei Chang; Ming-Syan Chen (Knowl. Inf. Syst., 2015)

Salient corporate performance forecasting based on financial and textual information. - Te-Min Chang; Ming-Fu Hsu; Guo-Hsin Hu; Keng-Pei Lin (SMC, 2016)

Privacy-preserving kernel k-means clustering outsourcing with random transformation. - Keng-Pei Lin (Knowl. Inf. Syst., 2016)

Integration of Social Media News Mining and Text Mining Techniques to Determine a Corporate's Competitive Edge. - Te-Ming Chang; Guo-Hsin Hu; Ming-Fu Hsu; Keng-Pei Lin (PACIS, 2017)

A Consumer Review-Driven Recommender Service for Web E-Commerce. - Keng-Pei Lin; Chih-Ya Shen; Tzu-Lin Chang; Te-Min Chang (SOCA, 2017)

Topic Diffusion Discovery Based on Sparseness-Constrained Non-Negative Matrix Factorization. - Yihuang Kang; Keng-Pei Lin; I-Ling Cheng (IRI, 2018)

Enriching UML from Model Multiplicity to Model Singularity with Structure-Behavior Coalescence. - Keng-Pei Lin; Chih-Ya Shen; William Chao (SMC, 2018)

Leveraging Online Word of Mouth for Personalized App Recommendation. - Keng-Pei Lin; Yi-Wei Chang; Chih-Ya Shen; Mei-Chu Lin (IEEE Trans. Comput. Soc. Syst., 2018)

A Smart Contract-Based Mobile Ticketing System with Multi-Signature and Blockchain. - Keng-Pei Lin; Yi-Wei Chang; Zhi-Hong Wei; Chih-Ya Shen; Ming-Yi Chang (GCCE, 2019)

Recommendation as a Service in Mergers and Acquisitions Transactions. - Yu-Chen Yang; Yi-Syuan Ke; Weiwei Wu; Keng-Pei Lin; Yong Jimmy Jin (HCI (24), 2019)

A Structure-Behavior Coalescence Design Method for Mobile Social Network Systems. - Keng-Pei Lin; Yihuang Kang; William S. Chao (MDM, 2019)

Blockchain Technology for e-Marketplace. - Yi-Wei Chang; Keng-Pei Lin; Chih-Ya Shen (PerCom Workshops, 2019)

The Structure-Behavior Coalescence Approach for Systems Modeling. - Keng-Pei Lin; William S. Chao (IEEE Access, 2019)

A Grading System of Pot-Phalaenopsis Orchid Using YOLO-V3 Deep Learning Model. - Yi-Wei Chang; Yu-Kai Hsiao; Chien-Chuan Ko; Rong-Show Shen; Wei-Yang Lin; Keng-Pei Lin (NBiS, 2020)

Importing Automated Management System to Improve the Process Efficiency of Dental Laboratories. - Cheng-Jung Yang; Ming-Huang Chen; Keng-Pei Lin; Yu-Jie Cheng; Fu-Chi Cheng (Sensors, 2020)

Facial Recognition in Celebrity Fan Art with Multi-Task Learning and Image Data Augmentation. - Keng-Pei Lin; Tzu-Lin Chang; Ting-Ye Chen (GCCE, 2023)

Three-Dimensional Printing Quality Inspection Based on Transfer Learning with Convolutional Neural Networks. - Cheng-Jung Yang; Wei-Kai Huang; Keng-Pei Lin (Sensors, 2023)

Gaming Group Formation in Social Networks of Video Game Distribution Platforms. - Keng-Pei Lin; Tzu-Lin Chang; Shih-Hung Tsai; Chih-Ya Shen (GCCE, 2024)

Automatic Short-Answer Grading with a Pseudo-Siamese Neural Network. - Tzu-Lin Chang; Keng-Pei Lin; Zong-Shun Chen (PACIS, 2024)