Duration-Aware Alignment of Process Traces. - Sen Yang 002; Moliang Zhou; Rachel Webman; JaeWon Yang; Aleksandra Sarcevic; Ivan Marsic; Randall S. Burd (ICDM, 2016)

Process-Oriented Iterative Multiple Alignment for Medical Process Mining. - Shuhong Chen; Sen Yang 002; Moliang Zhou; Randall S. Burd; Ivan Marsic (ICDM Workshops, 2017)

Medical Workflow Modeling Using Alignment-Guided State-Splitting HMM. - Sen Yang 002; Moliang Zhou; Shuhong Chen; Xin Dong 010; Omar Z. Ahmed; Randall S. Burd; Ivan Marsic (ICHI, 2017)

Semi-Synthetic Trauma Resuscitation Process Data Generator. - Sen Yang 002; Yichen Zhou; Yifeng Guo; Richard A. Farneth; Ivan Marsic; Randall S. Burd (ICHI, 2017)

Evaluation of Trace Alignment Quality and its Application in Medical Process Mining. - Moliang Zhou; Sen Yang 002; Xinyu Li 003; Shuyu Lv; Shuhong Chen; Ivan Marsic; Richard A. Farneth; Randall S. Burd (ICHI, 2017)

A Data-driven Process Recommender Framework. - Sen Yang 002; Xin Dong 010; Leilei Sun; Yichen Zhou; Richard A. Farneth; Hui Xiong 001; Randall S. Burd; Ivan Marsic (KDD, 2017)

Process Mining for Trauma Resuscitation. - Sen Yang 002; Jingyuan Li; Xiaoyi Tang; Shuhong Chen; Ivan Marsic; Randall S. Burd (IEEE Intell. Informatics Bull., 2017)

A Framework for Evaluating Trace Alignments. - Moliang Zhou; Sen Yang 002; Shuyu Lv; Xinyu Li 003; Shuhong Chen; Ivan Marsic; Randall S. Burd (CoRR, 2017)

Discovering Interpretable Medical Workflow Models. - Jingyuan Li; Sen Yang 002; Shuhong Chen; Fei Tao; Ivan Marsic; Randall S. Burd (ICHI, 2018)

Intention Mining in Medical Process: A Case Study in Trauma Resuscitation. - Sen Yang 002; Weiqing Ni; Xin Dong 010; Shuhong Chen; Richard A. Farneth; Aleksandra Sarcevic; Ivan Marsic; Randall S. Burd (ICHI, 2018)

Process Mining the Trauma Resuscitation Patient Cohorts. - Sen Yang 002; Fei Tao; Jingyuan Li; Dawei Wang; Shuhong Chen; Omar Z. Ahmed; Ivan Marsic; Randall S. Burd (ICHI, 2018)

Discovering Urban Travel Demands Through Dynamic Zone Correlation in Location-Based Social Networks. - Wangsu Hu; Zijun Yao 001; Sen Yang 002; Shuhong Chen; Peter Jing Jin (ECML/PKDD (2), 2018)

An approach to automatic process deviation detection in a time-critical clinical process. - Sen Yang 002; Aleksandra Sarcevic; Richard A. Farneth; Shuhong Chen; Omar Z. Ahmed; Ivan Marsic; Randall S. Burd (J. Biomed. Informatics, 2018)

Leveraging Adversarial Training in Self-Learning for Cross-Lingual Text Classification. - Xin Dong 010; Yaxin Zhu; Yupeng Zhang; Zuohui Fu; Dongkuan Xu; Sen Yang 002; Gerard de Melo (SIGIR, 2020)

Generating Privacy-Preserving Process Data with Deep Generative Models. - Keyi Li; Sen Yang 002; Travis M. Sullivan; Randall S. Burd; Ivan Marsic (CoRR, 2022)

Exploring Runtime Decision Support for Trauma Resuscitation. - Keyi Li; Sen Yang 002; Travis M. Sullivan; Randall S. Burd; Ivan Marsic (CoRR, 2022)

Rutgers Multimedia Image Processing Lab at SemEval-2023 Task-1: Text-Augmentation-based Approach for Visual Word Sense Disambiguation. - Keyi Li; Sen Yang 002; Chenyang Gao; Ivan Marsic (SemEval@ACL, 2023)

Discovering interpretable medical process models: A case study in trauma resuscitation. - Keyi Li; Ivan Marsic; Aleksandra Sarcevic; Sen Yang 002; Travis M. Sullivan; Peyton E. Tempel; Zachary P. Milestone; Karen J. O'Connell; Randall S. Burd (J. Biomed. Informatics, 2023)

Focusing on What Matters: Fine-grained Medical Activity Recognition for Trauma Resuscitation via Actor Tracking. - Wenjin Zhang; Keyi Li; Sen Yang 002; Sifan Yuan; Ivan Marsic; Genevieve J. Sippel; Mary S. Kim; Randall S. Burd (CVPR Workshops, 2024)

ProcessGAN: Generating Privacy-Preserving Time-Aware Process Data with Conditional Generative Adversarial Nets. - Keyi Li; Sen Yang 002; Travis M. Sullivan; Randall S. Burd; Ivan Marsic (ACM Trans. Knowl. Discov. Data, 2024)

Human intention recognition for trauma resuscitation: An interpretable deep learning approach for medical process data. - Keyi Li; Mary S. Kim; Wenjin Zhang; Sen Yang 002; Genevieve J. Sippel; Aleksandra Sarcevic; Randall S. Burd; Ivan Marsic (J. Biomed. Informatics, 2025)