My research interest focuses on Dynamic Graph Learning. Specifically, I study the dynamic patterns on evolving graphs or graphs that contain temporal information. I am also interested in the topics like Continual Learning, Graph Reduction and Graph Signal Processing.
My resume
News
| 10.2022 | Received the NSF Student Travel Award for ICDM 2022. |
| 09.2022 | One paper accepted by ICDM 2022. |
| 08.2022 | Became a Ph.D. Candicate by passing both written and oral part of Ph.D. qualification exam. |
| 08.2021 | Started my Ph.D. studies at Stevens Institute of Technology. |
Publication
Text-enhanced Multi-Granularity Temporal Graph Learning for Event Prediction.
Xiaoxue Han, Yue Ning
To appear in Proceedings of the 22nd IEEE International Conference on Data Mining
(ICDM). Regular Paper. (Acceptance Rate: 9.77%)
Orlando, FL, USA. Nov. 28-Dec. 1, 2022.
Autonomous Cricothyroid Membrane Detection and Manipulation Using Neural Networks and a Robot Arm for First-Aid Airway Management.
Xiaoxue Han, Hailin Ren, Jingyuan Qi, Pinhas Ben-Tzvi
Journal of Medical Devices.
December, 2022.
Autonomous Cricothyroid Membrane Detection Using Neural Networks for First-Aid Surgical Airway Management.
Xiaoxue Han, Hailin Ren, Pinhas Ben-Tzvi
Proceedings of the 2020 ASME IDETC/CIE, 44th Mechanisms & Robotics Conference.
St. Louis, MO, Aug. 16-19, 2020.