Biography

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] Stavros Garoufalidis, Matthew Harper, Ben-Michael Kohli, Jiebo Song, Guillaume Tahar, Extending knot polynomials of braided Hopf algebras to links, SIGMA (Symmetry, Integrability and Geometry: Methods and Applications), 22(050) (2026)
• [2] Stavros Garoufalidis, Matthew Harper, Rinat Kashaev, Ben-Michael Kohli, Jiebo Song, Guillaume Tahar, Skein theory for the Links-Gould polynomial, Journal of London Mathematical Society, 113, e70522 (2026)
• [3] 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)
• [4] Matthew Harper, Ben-Michael Kohli, Jiebo Song, Guillaume Tahar, On some log-concavity properties of the Alexander-Conway and Links-Gould invariants (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