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Yutong
Yutong Ban
Assistant Professor
Office 504
Tel +86-21-34206765 Ext. 5041
Email yban@sjtu.edu.cn

 

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)