Keng-Pei Lin

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 18

Top Topics

Linear Transformation

Social Computing

Top Venues

Knowl. Inf. Syst.

Publications

Tzu-Lin Chang, Keng-Pei Lin, Zong-Shun Chen
Automatic Short-Answer Grading with a Pseudo-Siamese Neural Network. PACIS (2024)
Cheng-Jung Yang, Wei-Kai Huang, Keng-Pei Lin
Three-Dimensional Printing Quality Inspection Based on Transfer Learning with Convolutional Neural Networks. Sensors 23 (1) (2023)
Keng-Pei Lin, Tzu-Lin Chang, Ting-Ye Chen
Facial Recognition in Celebrity Fan Art with Multi-Task Learning and Image Data Augmentation. GCCE (2023)
Yi-Wei Chang, Yu-Kai Hsiao, Chien-Chuan Ko, Rong-Show Shen, Wei-Yang Lin, Keng-Pei Lin
A Grading System of Pot-Phalaenopsis Orchid Using YOLO-V3 Deep Learning Model. NBiS (2020)
Cheng-Jung Yang, Ming-Huang Chen, Keng-Pei Lin, Yu-Jie Cheng, Fu-Chi Cheng
Importing Automated Management System to Improve the Process Efficiency of Dental Laboratories. Sensors 20 (20) (2020)
Yu-Chen Yang, Yi-Syuan Ke, Weiwei Wu, Keng-Pei Lin, Yong Jimmy Jin
Recommendation as a Service in Mergers and Acquisitions Transactions. HCI (24) (2019)
Keng-Pei Lin, Yi-Wei Chang, Zhi-Hong Wei, Chih-Ya Shen, Ming-Yi Chang
A Smart Contract-Based Mobile Ticketing System with Multi-Signature and Blockchain. GCCE (2019)
Keng-Pei Lin, William S. Chao
The Structure-Behavior Coalescence Approach for Systems Modeling. IEEE Access 7 (2019)
Keng-Pei Lin, Yihuang Kang, William S. Chao
A Structure-Behavior Coalescence Design Method for Mobile Social Network Systems. MDM (2019)
Yi-Wei Chang, Keng-Pei Lin, Chih-Ya Shen
Blockchain Technology for e-Marketplace. PerCom Workshops (2019)
Yihuang Kang, Keng-Pei Lin, I-Ling Cheng
Topic Diffusion Discovery based on Sparseness-constrained Non-negative Matrix Factorization. CoRR (2018)
Keng-Pei Lin, Yi-Wei Chang, Chih-Ya Shen, Mei-Chu Lin
Leveraging Online Word of Mouth for Personalized App Recommendation. IEEE Trans. Comput. Soc. Syst. 5 (4) (2018)
Keng-Pei Lin, Chih-Ya Shen, William Chao
Enriching UML from Model Multiplicity to Model Singularity with Structure-Behavior Coalescence. SMC (2018)
Yihuang Kang, Keng-Pei Lin, I-Ling Cheng
Topic Diffusion Discovery Based on Sparseness-Constrained Non-Negative Matrix Factorization. IRI (2018)
Te-Ming Chang, Guo-Hsin Hu, Ming-Fu Hsu, Keng-Pei Lin
Integration of Social Media News Mining and Text Mining Techniques to Determine a Corporate's Competitive Edge. PACIS (2017)
Keng-Pei Lin, Chih-Ya Shen, Tzu-Lin Chang, Te-Min Chang
A Consumer Review-Driven Recommender Service for Web E-Commerce. SOCA (2017)
Keng-Pei Lin
Privacy-preserving kernel k-means clustering outsourcing with random transformation. Knowl. Inf. Syst. 49 (3) (2016)
Te-Min Chang, Ming-Fu Hsu, Guo-Hsin Hu, Keng-Pei Lin
Salient corporate performance forecasting based on financial and textual information. SMC (2016)
Te-Min Chang, Chao-Hsien Sung, Guo-Hsin Hu, Ming-Fu Hsu, Keng-Pei Lin
Identifying Highly Potential Enterprises with Social Computing on Supply Chain Networks. SmartCity (2015)
Keng-Pei Lin, Chia-Yu Lai, Po-Cheng Chen, San-Yih Hwang
Personalized Hotel Recommendation Using Text Mining and Mobile Browsing Tracking. SMC (2015)
Keng-Pei Lin, Yi-Wei Chang, Ming-Syan Chen
Secure support vector machines outsourcing with random linear transformation. Knowl. Inf. Syst. 44 (1) (2015)
Keng-Pei Lin, Yu-Chen Yang
Efficient Approximation for Large-Scale Kernel Clustering Analysis. PACIS (2014)
Keng-Pei Lin
Privacy-Preserving Kernel k-Means Outsourcing with Randomized Kernels. ICDM Workshops (2013)
Shan-Hung Wu, Keng-Pei Lin, Hao-Heng Chien, Chung-Min Chen, Ming-Syan Chen
On Generalizable Low False-Positive Learning Using Asymmetric Support Vector Machines. IEEE Trans. Knowl. Data Eng. 25 (5) (2013)
Ming-Syan Chen, Keng-Pei Lin
Efficient Kernel Approximation for Large-Scale Support Vector Machine Classification. SDM (2011)
Keng-Pei Lin, Ming-Syan Chen
Towards communication-efficient private location dependent queries. SAC (2011)
Keng-Pei Lin, Ming-Syan Chen
On the Design and Analysis of the Privacy-Preserving SVM Classifier. IEEE Trans. Knowl. Data Eng. 23 (11) (2011)
Keng-Pei Lin, Ming-Syan Chen
Privacy-preserving outsourcing support vector machines with random transformation. KDD (2010)
Keng-Pei Lin, Ming-Syan Chen
Releasing the SVM Classifier with Privacy-Preservation. ICDM (2008)
Shan-Hung Wu, Keng-Pei Lin, Chung-Min Chen, Ming-Syan Chen
Asymmetric support vector machines: low false-positive learning under the user tolerance. KDD (2008)
Kun-Ta Chuang, Keng-Pei Lin, Ming-Syan Chen
Quality-Aware Sampling and Its Applications in Incremental Data Mining. IEEE Trans. Knowl. Data Eng. 19 (4) (2007)