Sibo Dong

Sibo Dong

He/him/his

Computer Science PhD Student

About Me

I am a Ph.D. student at Computer Science Department in Georgetown University. My advisor is Professor Sarah Adel Bargal and my research interests are Machine Learning, Deep Learning, Computer Vision, Neural Language Processing, Deep Reinforcement Learning, and Information Retrieval.

Education

Georgetown University, Washington, DC, USA     08/2021 - Now

  • Ph.D., Computer Science, Computer Vision Group
  • Advisor: Sarah A. Bargal

Georgetown University, Washington, DC, USA     08/2019 - 05/2021

  • M.S., Computer Science

Beihang University, Beijing, China      08/2015 - 07/2019

  • B.E., Computer Science

Publications

  • He, Q. & Dong, S. (2024, July). Predicting Missing Response with BERT Model in Process Data. Accepted as an oral presentation at the International Meeting of Psychometric Society (IMPS), Prague, Czech.
  • Dong, S. & Yang, G. H. (2022, November). Do We Really Need Everything Everywhere All at Once? Query-Specific Fine-Tuning for Transformer-Based Neural Retrievers. Accepted as a presentation at the 31st Text REtrieval Conference (TREC). Rockville, MD, USA.
  • Dong, S., Goldstein, J., & Yang, G. H. (2022, August). Gazby: Gaze-based bert model to incorporate human attention in neural information retrieval. In Proceedings of the 2022 ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR), Madrid Spain.
  • Dong, S., Goldstein, J., & Yang, G. H. (2022, August). SEINE: SEgment-based Indexing for NEural information retrieval. Workshop on Reaching Efficiency in Neural Information Retrieval (ReNeuIR) of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid Spain.

Experiences

Bytedance, Bellevue, WA, USA    05/2023 - 08/2023

  • Research Scientist Intern, Applied Machine Learning Team

Didi Chuxing, Beijing, China    03/2019 - 08/2019

  • Product Operation Intern, Didi Premier Growth Group

University of California, Berkeley, Berkeley, CA, USA    07/2018 - 09/2018

  • Summer Intern, Visual Computing Lab
  • Advisor: Brian A. Barsky

Sina Weibo, Beijing, China    10/2017 - 01/2018

  • Data Analysis Intern, Information Flow Analysis Department

City University of Hong Kong Hong Kong, China    07/2017 - 09/2017

  • Summer Intern, College of Business
  • Advisor: Jing Wu