宋洁博
助理研究员
团队: 概率
办公室: A3-4-209
邮箱: songjiebo@bimsa.cn
研究方向: 图像优化和深度学习
研究兴趣
- Image processing, deep learning, time series analysis
教育经历
- 2015 - 2016 普林斯顿大学 应用数学 其它
- 2012 - 2018 中山大学 应用数学 博士
- 2008 - 2012 湖南师范大学 应用数学 学士
工作经历
- 2021 - 2023 Tsinghua University Postdoc
荣誉与奖项
出版物
- [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
更新时间: 2025-10-18 16:00:10