BIMSA > Jiebo Song
Assistant Professor Jiebo Song

Group: Probability

Office: A3-4-209

Email: songjiebo@bimsa.cn

Research Field: Image Processing, Deep Learning, Statistics

Research Interest

  • Image processing, deep learning, time series analysis

Education Experience

  • 2015 - 2016      Princeton University      applied mathematics      Other
  • 2012 - 2018      Sun Yat-sen University      applied mathematics      Doctor
  • 2008 - 2012      Hunan Normal University      applied mathematics      Bachelor

Work Experience

  • 2021 - 2023      Tsinghua University      Postdoc

Honors and Awards

  • 2022      Qiuzhen College Postdoctoral Scholar Teaching Award
  • 2020      Shuimu Tsinghua Scholar

Publication

  • [1] Huaming Ling, Chenglong Bao, Jiebo Song, Zuoqiang Shi, Fast and Scalable Semi-Supervised Learning for Multi-View Subspace Clustering, Advances in Continuous and Discrete Models (2025)
  • [2] Matthew Harper, Ben-Michael Kohli, Jiebo Song, Guillaume Tahar, On some log-concavity properties of the Alexander-Conway and Links-Gould invariants (2025)
  • [3] Stavros Garoufalidis, Matthew Harper, Ben-Michael Kohli, Jiebo Song, Guillaume Tahar, Extending knot polynomials of braided Hopf algebras to links (2025)
  • [4] Stavros Garoufalidis, Matthew Harper, Rinat Kashaev, Ben-Michael Kohli, Jiebo Song, Guillaume Tahar, Skein theory for the Links-Gould polynomial (2025)
  • [5] Jiebo Song, Huaming Ling, Masked Subspace Clustering Methods, accepted by ICAMCS2024: The International Conference on Applied Mathematics and Computer Science (2024)
  • [6] 北京市医疗保障局组织编写，主编:杜鑫; 副主编: 王娟, 包承龙; 编委: 宋洁博等, 北京医保总额预算管理(BJ-GBI)趋势预测技术, 中国人口出版社 (2023)
  • [7] Jiebo Song, Jia Li, Zhengan Yao, Kaisheng Ma, Chenglong Bao, Zero Norm based Analysis Model for Image Smoothing and Reconstruction, Inverse Problems, 36(2020), 11
  • [8] Shaokai Ye, Kailu Wu, Mu Zhou, Yunfei Yang, Sia Huat Tan, Kaidi Xu, Jiebo Song, Chenglong Bao, and Kaisheng Ma, Light-weight calibrator: a separable component for unsupervised domain adaptation, , 13736-13745 (2020)
  • [9] Zhanhong Tan, Jiebo Song, Xiaolong Ma, Sia-Huat Tan, Hongyang Chen, Yuanqing Miao, Yifu Wu, Shaokai Ye, Yanzhi Wang, Dehui Li, and Kaisheng Ma, PCNN: Pattern-based Fine-Grained Regular Pruning Towards Optimizing CNN Accelerators, DAC ’20: Proceedings of the 57th ACM/EDAC/IEEE Design Automation Conference, Virtual event, June 20-24, 2020(2020), 1-6
  • [10] Linfeng Zhang, Jiebo Song, Anni Gao, Jingwei Chen, Chenglong Bao, and Kaisheng Ma, Be your own teacher: Improve the performance of convolutional neural networks via self distillation, , 3713-3722 (2019)
  • [11] Linfeng Zhang, Zhanhong Tan, Jiebo Song, Jingwei Chen, Chenglong Bao, and Kaisheng Ma, SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models, Advances in Neural Information Processing Systems, 32(2019), 4027-4036

 

Update Time: 2025-11-05 17:00:09