| 2019 | HCI | Recommendation as a Service in Mergers and Acquisitions Transactions. | Yu-Chen Yang, Yi-Syuan Ke, Weiwei Wu, Keng-Pei Lin, Yong Jimmy Jin |
| 2019 | MDM | A Structure-Behavior Coalescence Design Method for Mobile Social Network Systems. | Keng-Pei Lin, Yihuang Kang, William S. Chao |
| 2019 | PERCOM | Blockchain Technology for e-Marketplace. | Yi-Wei Chang, Keng-Pei Lin, Chih-Ya Shen |
| 2018 | IRI | Topic Diffusion Discovery Based on Sparseness-Constrained Non-Negative Matrix Factorization. | Yihuang Kang, Keng-Pei Lin, I-Ling Cheng |
| 2018 | SMC | Enriching UML from Model Multiplicity to Model Singularity with Structure-Behavior Coalescence. | Keng-Pei Lin, Chih-Ya Shen, William Chao |
| 2016 | SMC | Salient corporate performance forecasting based on financial and textual information. | Te-Min Chang, Ming-Fu Hsu, Guo-Hsin Hu, Keng-Pei Lin |
| 2015 | SMC | Personalized Hotel Recommendation Using Text Mining and Mobile Browsing Tracking. | Keng-Pei Lin, Chia-Yu Lai, Po-Cheng Chen, San-Yih Hwang |
| 2013 | ICDM | Privacy-Preserving Kernel k-Means Outsourcing with Randomized Kernels. | Keng-Pei Lin |
| 2011 | SAC | Towards communication-efficient private location dependent queries. | Keng-Pei Lin, Ming-Syan Chen |
| 2011 | SDM | Efficient Kernel Approximation for Large-Scale Support Vector Machine Classification. | Ming-Syan Chen, Keng-Pei Lin |
| 2010 | KDD | Privacy-preserving outsourcing support vector machines with random transformation. | Keng-Pei Lin, Ming-Syan Chen |
| 2008 | ICDM | Releasing the SVM Classifier with Privacy-Preservation. | Keng-Pei Lin, Ming-Syan Chen |
| 2008 | KDD | Asymmetric support vector machines: low false-positive learning under the user tolerance. | Shan-Hung Wu, Keng-Pei Lin, Chung-Min Chen, Ming-Syan Chen |