Publications

Preprints

  1. Yingbo Ma, Ben Shickel, et al., "Multimodal EHR representation learning via temporal cross-attention and global contrastive training ," arXiv, 2024.
  2. Yingbo Ma, Suraj Kolla, Zhenhong Hu, et al., "An explainable and fair machine learning framework for dynamic prediction of postoperative surgical complications with multimodal electronic health records," arXiv, 2024.
  3. Yingbo Ma, Yukyeong Song, Jeremy A Balch, et al., "Promoting AI competencies for medical students: a systematic review on frameworks, programs, and tools," arXiv, 2024.
  4. Yingbo Ma, Suraj Kolla, Zhenhong Hu, et al., "Global contrastive training for multimodal electronic health records with language supervision," arXiv, 2024.
  5. Yingbo Ma, Yukyeong Song, Mehmet Celepkolu, et al., "Automatically Detecting Confusion and Conflict During Collaborative Learning Using Linguistic, Prosodic, and Facial Cues," arXiv, 2024.
  6. Yonggi Park, Yuanfang Ren, Benjamin Shickel, Yingbo Ma, et al., "Federated learning model for predicting major postoperative complications," arXiv, 2024.

Conference Proceedings

  1. Yingbo Ma, Suraj Kolla, Dhruv Kaliraman, et al., "Temporal cross-attention for dynamic embedding and tokenization of multimodal electronic health records," International Conference on Learning Representations (ICLR) Workshop on Learning from Time Series For Health, 2024.
  2. Yingbo Ma, Mehmet Celepkolu, Kristy Elizabeth Boyer, et al., "How noisy is too noisy? The impact of data noise on multimodal recognition of confusion and conflict during collaborative learning," International Conference on Multimodal Interaction (ICMI), 2023.
  3. Joseph B Wiggins, Toni V Earle-Randell, Yingbo Ma, et al., "Building the dream team: children's reactions to virtual agents that model collaborative talk," International Conference on Intelligent Virtual Agents (IVA), 2022.
  4. Yingbo Ma, Julianna Martinez Ruiz, Timothy D Brown, et al., "It's challenging but doable: Lessons learned from a remote collaborative coding camp for elementary students," ACM Technical Symposium on Computer Science Education (SIGCSE), 2022.
  5. Yingbo Ma, Mehmet Celepkolu, and Kristy Elizabeth Boyer, "Investigating multimodal predictors of peer satisfaction for collaborative coding in middle school," International Conference on Educational Data Mining (EDM), 2022.
  6. Yingbo Ma, Mehmet Celepkolu, and Kristy Elizabeth Boyer, "Detecting impasse during collaborative problem solving with multimodal learning analytics," International Learning Analytics and Knowledge Conference (LAK), 2022.
  7. Yingbo Ma, Joseph B Wiggins, Mehmet Celepkolu, et al., "The challenge of noisy classrooms: Speaker detection during elementary students' collaborative dialogue," International Conference on Artificial Intelligence in Education (AIED), 2021.

Journal Articles

  1. Yuanfang Ren, Tripathi Chirayu, Guan Ziyuan, Yingbo Ma, et al., "Transparent AI: Developing an Explainable Interface for Predicting Postoperative Complications," Surgery, to appear, 2024.
  2. Toni V Earle-Randell, Joseph B Wiggins, Yingbo Ma, et al., "The impact of near-peer virtual agents on computer science attitudes and collaborative dialogue," International Journal of Child-Computer Interaction, 2024.
  3. Yingbo Ma, Mehmet Celepkolu, and Kristy Elizabeth Boyer, "Automatically predicting peer satisfaction during collaborative learning with linguistic, acoustic, and visual features," Journal of Educational Data Mining, 2023.
  4. Yukyeong Song, Wanli Xing, Chenglu Li, Xiaoyi Tian, and Yingbo Ma, "Investigating the relationship between math literacy and linguistic synchrony in online mathematical discussions through large-scale data analytics," Journal of Educational Data Mining, 2023.
  5. Pedro Feijoo-Garcia, Yu-Peng Chen, Shaghayegh Esmaeili, Yingbo Ma, and Christina Gardner McCune, "Write2code: Pen-based educational tool for java," Journal of Emerging Technologies in Learning, 2021.
  6. Yufeng Dai, Yafeng Wu, and Yingbo Ma, "Elevator car noise active control system and experiment," Journal of Measurement Technologies, 2019.
  7. Yufeng Dai, Yafeng Wu, and Yingbo Ma, "CFxLMS Algorithm with Variable Step Size and its Application to Simulation of Elevator Cabin Noise Active Control," Journal of Noise and Vibration Control, 2019.
  8. Yingbo Ma, Yafeng Wu, and Xinbo Yang, "Improved LMS adaptive filtering algorithm based on correlation function," Journal of Measurement Technologies, 2019.