| 2022 | AMIA | Existing and emerging privacy challenges and solutions for federated data coordination. | Tsung-Ting Kuo, Xiaoqian Jiang, Hua Xu, Li Xiong, Lucila Ohno-Machado |
| 2022 | AMIA | COVID-19 Chest X-ray Image Clustering and Topic Modeling using Associated Publications. | Megan Mun Li, Tsung-Ting Kuo |
| 2021 | AMIA | Early Prediction of Positive Clostridioides Difficile Test Results. | Anh Pham, Robert El-Kareh, Lucila Ohno-Machado, Tsung-Ting Kuo |
| 2019 | AMIA | Current Applications of Blockchain Technology in Biomedical Research and Healthcare. | Tsung-Ting Kuo, Amar Das, Kim Augustine, Peng Dana Zhang, Lucila Ohno-Machado |
| 2019 | AMIA | Comparison of Smart Contract Blockchains for Healthcare Applications. | Hongru Yu, Haiyang Sun, Danyi Wu, Tsung-Ting Kuo |
| 2017 | AMIA | The presence of highly similar notes within the MIMIC-III dataset. | Rodney A. Gabriel, Sanjeev Shenoy, Tsung-Ting Kuo, Julian J. McAuley, Chun-Nan Hsu |
| 2017 | DSAA | A Collaborative Filtering-Based Two Stage Model with Item Dependency for Course Recommendation. | Eric L. Lee, Tsung-Ting Kuo, Shou-De Lin |
| 2016 | AMIA | Review and Evaluation of the State of Standardization of Computable Phenotype. | Stephanie Feudjio Feupe, Ko-Wei Lin, Tsung-Ting Kuo, Chun-Nan Hsu, Hyeon-Eui Kim |
| 2016 | AMIA | Ensembles of NLP Tools for Data Element Extraction from Clinical Notes. | Tsung-Ting Kuo, Pallavi Rao, Cleo K. Maehara, Son Doan, Juan D. Chaparro, Michele E. Day, Claudiu Farcas, Lucila Ohno-Machado, Chun-Nan Hsu |
| 2014 | ACL | Enriching Cold Start Personalized Language Model Using Social Network Information. | Yu-Yang Huang, Rui Yan, Tsung-Ting Kuo, Shou-De Lin |
| 2014 | DSAA | Minimizing expected loss for risk-avoiding reinforcement learning. | Jung-Jung Yeh, Tsung-Ting Kuo, William Chen, Shou-De Lin |
| 2014 | PAKDD | A Content-Based Matrix Factorization Model for Recipe Recommendation. | Chia-Jen Lin, Tsung-Ting Kuo, Shou-De Lin |
| 2013 | KDD | Unsupervised link prediction using aggregative statistics on heterogeneous social networks. | Tsung-Ting Kuo, Rui Yan, Yu-Yang Huang, Perng-Hwa Kung, Shou-De Lin |
| 2013 | PAKDD | Exploiting Temporal Information in a Two-Stage Classification Framework for Content-Based Depression Detection. | Yu-Chun Shen, Tsung-Ting Kuo, I-Ning Yeh, Tzu-Ting Chen, Shou-De Lin |
| 2012 | ACL | Exploiting Latent Information to Predict Diffusions of Novel Topics on Social Networks. | Tsung-Ting Kuo, San-Chuan Hung, Wei-Shih Lin, Nanyun Peng, Shou-De Lin, Wei-Fen Lin |
| 2012 | GRC | Prediction-based outlier detection with explanations. | Liang-Chieh Chen, Tsung-Ting Kuo, Wei-Chi Lai, Shou-De Lin, Chi-Hung Tsai |
| 2011 | ICDM | Time-Aware Ranking in Dynamic Citation Networks. | Rumi Ghosh, Tsung-Ting Kuo, Chun-Nan Hsu, Shou-De Lin, Kristina Lerman |
| 2010 | SIGGRAPH | SocioCrowd: a social-network-based framework for crowd simulation. | Cheng-Te Li, Hsun-Ping Hsieh, Tsung-Ting Kuo, Shou-De Lin |