| 2025 | COMPSAC | Voice-Activated Self-Monitoring Application (VoiS): User Acceptance and Satisfaction in the Field. | Hyunkyoung Oh, Li Yang, Tala Abu Zahra, Shiyu Tian, Min Sook Park, Jake Luo, Sheikh Iqbal Ahamed, Evelyn Chan, Jeff Whittle |
| 2025 | GECCO | Refining Neural Network with Symbolic Regression. | Wei Wei, Qiang Lu, Can Huang, Jake Luo |
| 2025 | ICCV | End-to-End Multi-Modal Diffusion Mamba. | Chunhao Lu, Qiang Lu, Meichen Dong, Jake Luo |
| 2024 | COMPSAC | Identifying Medical Concepts and Semantic Types in Lay Vocabularies of Health Consumers Who are Concerned with Diabetes on Social Media Using the UMLS and NLP. | Adib Ahmed Anik, Paramita Basak Upama, Masud Rabbani, Shiyu Tian, Min Sook Park, Sheikh Iqbal Ahamed, Jake Luo, Hyunkyoung Oh |
| 2024 | ECAI | Differentiable Neural Network for Assembling Blocks. | Zhiwei Liu, Qiang Lu, Yibo Zhao, Yanhong Zhao, Jake Luo |
| 2024 | ECCV | An Explainable Vision Question Answer Model via Diffusion Chain-of-Thought. | Chunhao Lu, Qiang Lu, Jake Luo |
| 2024 | IJCNN | Alleviating Semantic Drift in Multi-Hop Question Answering on Knowledge Graphs with Bidirectional Semantics. | Mingcai Yuan, Qiang Lu, Xianhao Zeng, Jake Luo, Dawei Li |
| 2024 | PPSN | Symbol Graph Genetic Programming for Symbolic Regression. | Jinglu Song, Qiang Lu, Bozhou Tian, Jingwen Zhang, Jake Luo, Zhiguang Wang |
| 2023 | COMPSAC | A Survey of Conversational Agents and Their Applications for Self-Management of Chronic Conditions. | Min Sook Park, Paramita Basak Upama, Adib Ahmed Anik, Sheikh Iqbal Ahamed, Jake Luo, Shiyu Tian, Masud Rabbani, Hyungkyoung Oh |
| 2022 | COMPSAC | Towards Developing a Voice-activated Self-monitoring Application (VoiS) for Adults with Diabetes and Hypertension. | Masud Rabbani, Shiyu Tian, Adib Ahmed Anik, Jake Luo, Min Sook Park, Jeff Whittle, Sheikh Iqbal Ahamed, Hyunkyoung Oh |
| 2022 | COMPSAC | A Clustering-Aided Approach for Diagnosis Prediction: A Case Study of Elderly Fall. | Ling Tong, Jake Luo, Jazzmyne Adams, Kristen Osinski, Xiaoyu Liu, David R. Friedland |
| 2022 | GECCO | Taylor genetic programming for symbolic regression. | Baihe He, Qiang Lu, Qingyun Yang, Jake Luo, Zhiguang Wang |
| 2022 | GECCO | Exploring hidden semantics in neural networks with symbolic regression. | Yuanzhen Luo, Qiang Lu, Xilei Hu, Jake Luo, Zhiguang Wang |
| 2021 | GECCO | Adversarial bandit gene expression programming for symbolic regression. | Congwen Xu, Qiang Lu, Jake Luo, Zhiguang Wang |
| 2019 | AMIA | Challenges to a Data Driven Approach to Population Level Analysis of Hypersensitivity Events in Cancer Clinical Trials. | Christina Eldredge, James E. Andrews, Maryam Zolnoori, Timothy B. Patrick, Joel Gallagher, Cesar A. Lam, Jake Luo |
| 2019 | AMIA | Identifying Factors Affecting Drug Discontinuation in Patients with Depression: Text Analysis of Patient Drug Review Posts. | Maryam Zolnoori, Che Ngufor, Anthony Faiola, Christina Eldredge, Jake Luo, Sunghwan Sohn, Joyce E. Balls-Berry, Ahmad P. Tafti, Nilay D. Shah, Timothy B. Patrick |
| 2019 | COMPSAC | Machine Learning-Based Modeling of Big Clinical Trials Data for Adverse Outcome Prediction: A Case Study of Death Events. | Ling Tong, Jake Luo, Ron A. Cisler, Michael Cantor |
| 2016 | AMIA | Evaluating Acceptability and Efficacy of Antidepressant Medications using Patients Comments in Social Media. | Maryam Zolnoori, Timothy B. Patrick, Mike Conway, Anthony Faiola, Jake Luo |
| 2015 | AMIA | Bridging the Representation Gap of Medical Image and Clinical Note through Semantic Association Mining. | Jake Luo, Timothy B. Patrick |