Jiawei Fan works for Intel Labs China 
as an AI research intern, supervised by Anbang Yao. He aims to construct novel distillation method to contribute to omni-scale high-performance intelligent vision systems. Previously, he was an intern at MEGVII and obtain outstanding intern as he design a high-performance parameter-free regulariziation method for action recognition.
He obtained master degree of computer science in Beijing University of Posts and Telecommunications (BUPT), supervised by Meina Song. Before that, he obtained first-class honorable degree of bachelor of science and engineering. when he graduated from joint programme of Beijing University of Posts and Telecommunications (BUPT) and Queen Marry University of London (QMUL).
🔥 News
- 2023.09: A first author paper on effecient knowledge distillation for semantic segmentation has been accepted to NeurIPS 2023.
- 2022.12: A first co-author paper on Video SSL has been accepted as an Best Paper Award Honorable Mentioned to ACCV 2022.
- 2022.07: A first author paper on high-performance parameter-free regulariziation method for action recognition has been accepted to ACM MM 2022 .
- 2022.03: A first author paper on few-shot learning has been accepted to ICPR 2022.
- 2021.05: Rank 7th in the 3rd Person in Context workshop in CVPR 2021.
📝 Publications
(* Equal contribution, # Corresponding author)
2023
- Augmentation-free Dense Contrastive Distillation for Efficient Semantic Segmentation, Jiawei Fan, Chao Li, Xiaolong Liu, Meina Song, Anbang Yao#, Thirty-Seventh Conference on Neural Information Processing Systems (NeurIPS 2023).
2022
- TCVM: Temporal Contrasting Video Montage Framework for Self-supervised Video Representation Learning, Fengrui Tian*, Jiawei Fan*, Xie Yu, Shaoyi Du#, Meina Song, Yu Zhao, Proceedings of the Asian Conference on Computer Vision (ACCV 2022). (Oral and Best Paper Award Honorable Mentioned)
- DTR: An Information Bottleneck Based Regularization Framework for Video Action Recognition, Jiawei Fan*, Yu Zhao*#, Xie Yu, Lihua Ma, Junqi Liu, Fangqiu Yi, Boxun Li, Proceedings of the 30th ACM International Conference on Multimedia (ACM-MM 2022).
- Episodic Projection Network for Out-of-Distribution Detection in Few-shot Learning., Jiawei Fan, Zhonghong Ou#, Xie Yu, Junwei Yang, Shigeng Wang, Xiaoyang Kang, Hongxing Zhang, Meina Song, 26th International Conference on Pattern Recognition (ICPR 2022).
📖 Educations
- 2020.09 - 2023.06, Master at Beijing University of Posts and Telecommunications.
- 2016.09 - 2020.06, Bachelor at Beijing University of Posts and Telecommunications and Queen Marry University of London.
🎖 Honors and Awards
- 2023.11 Intel Labs China DRA Award.
- 2022.12 Best Paper Honorable Mentioned in ACCV 2022.
- 2022.04 MEGVII Outstanding Interns.
- 2021.10 First Class Scholorship of 2021.
- 2021.05 Win 7th in the 3rd Person in Context workshop in CVPR 2021.
- 2021.01 First Prize in Graduate Innovation and Entrepreneurship Competition.
- 2020.10 First Class Scholorship of 2020.
- 2020.06 BUPT Star of Youth. (10 students per year)
- 2020.02 M Prize in Mathematical Contest in Modeling.
- 2019.10 Tongding Enterprise Scholarship of 2019. (1 student per department)
- 2019.01 First Prize in Graduate Innovation and Entrepreneurship Competition. (as an undergraduate student)
- 2018.10 Hengtong Enterprise Scholarship of 2018.
- 2017.10 National Encouragement Scholarship of 2017.
💬 Invited Talks
- 2022.07, An informal talk about his recent work - DTR for action recognition at Peking University.
💻 Internships
- 2022.07 - now, Intel Labs, China. Research Intern, supervised by Anbang Yao.
- 2021.12 - 2022.07, MEGVII Inc, China.
Research Intern, supervised by Yu Zhao. - 2021.04 - 2021.10, Peking University, China.
Visit Student, supervised by Yang Liu. - 2019.09 - 2019.11, ByteDance Inc, China.
Data Engineer Intern.