Faculty Directory
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Education
| Ph.D. | Computer Science and Applied Mathematics, INRIA, France (2019) |
| M.S. | Computer Science, Télécom Saint-Étienne, France (2015) |
| B.S. | Telecommunication Engineering, Xidian University (2013) |
Work Experience
| 2023 – Pres. | Assistant Professor, UM-SJTU Joint Institute, SJTU |
| 2019 – 2023 | Postdoctoral Fellow, CSAIL, MIT & MGH, Harvard Medical School |
Honors and Awards
- Shanghai Pujiang Talent Program, Shanghai (2023)
- European Association of Endoscopic Surgery Annual Congress (EAES) Gerhard Buess Amazing Technologies Award (<1%) (2022)
- Society of American Gastrointestinal and Endoscopic Surgeons Annual Conference (SAGES) ”SAGES21 Best Papers” Session (2021)
- IEEE IROS/JTCF Novel Technology Paper Award Finalist (2017)
- INRIA Ph.D. Scholarship (2015)
Selected Publications (10 selected in last 3 years)
(* indicates equally contributed)
- Y. Ban, J. A. Eckhoff, T.M. Ward, DA. Hashimoto, O. Meireles, D. Rus, G. Rosman, Concept graph neural networks for surgical video understanding, IEEE Transactions on Medical Imaging, 2023
- Y. Xu*, Y. Ban*, G. Delorme, C. Gan, D. Rus, X. Alameda-Pineda, TransCenter: Transformers with Dense Queries for Multiple-Object Tracking; IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
- Y. Ban, X. Alameda-Pineda, L. Girin, and R. Horaud; Variational Bayesian Inference for Audio-Visual Tracking of Multiple Speakers; IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019, 43(5):1761-1776
- J. A. Eckhoff*, Y. Ban*, G. Rosman, DT. Müller, DA. Hashimoto, D. Rus, C. Bruns, HF Fuchs, O. Meireles; TEsoNet: Knowledge Transfer from laparoscopic Sleeve Gastrectomy to the IvorLewis Esophagectomy; Springer Surgical Endoscopy, 2023, 37(5):4040-4053 (Conference version receives Association of Endoscopic Surgery Annual Congress (EAES) Gerhard Buess Amazing Technologies Award (<%1))
- X. Li*, Y. Ban*, L. Girin, X. Alameda-Pineda, and R. Horaud, Online Localization and Tracking of Multiple Speakers in Reverberant Environments; IEEE Journal of Selected Topics in Signal Processing, 2019, 13(1):88-103
- Y. Ban, X. Alameda-Pineda, C. Evers and R.Horaud; Tracking Multiple Audio Sources with Von-Mises Distribution and Variational EM; IEEE Signal Processing Letters, May 2019, 26(6):798-802
- Y. Ban, G. Rosman, J.Eckhoff, T. Ward, D. Hashimoto, T. Kondo, H. Iwaki, O. Meireles, D. Rus; SUPR-GAN: SUrgical PRediction GAN for Event Anticipationin Laparoscopic and Robotic Surgery; IEEE Robotics and Automation Letters, 2022, 7(2):5741-5748
- Y. Ban*, X.Li*, G. Rosman, I. Gilitschensk, O. Meireles, S. Karaman, D. Rus; Concept Model Learning for Interaction-aware Prediction Using Knowledge Graphical Network; IEEE International Conference on Robotics and Automation, 2022
- Y. Ban, G. Rosman, T. Ward, D. Hashimoto, T. Kondo, H. Iwaki, O. Meireles, D.Rus; Aggregating Long-Term Context for Learning Laparoscopic and Robot-Assisted Surgical Workflows; IEEE International Conference on Robotics and Automation, 2021
- Y. Xu, A. Osep, Y. Ban, R. Horaud, L. Leal-Taixe, X. Alameda-Pineda; How To Train Your Deep Multi-Object Tracker; IEEE Conference on Computer Vision and Pattern Recognition, 2020
Professional Service
- ACM Multimedia (ACM-MM) 2022 (CCF A Conference) Committee Member.
- SAGES Critical View of Safety Challenge, Executive Committee Member.
Courses Taught (Recent 5 Years)
- Data structure and Algorithms (Fall 2023)