BIMSA > 宋洁博
助理研究员 宋洁博

团队: 统计、概率和数据科学

办公室: A3-4-209

邮箱: songjiebo@bimsa.cn

研究方向: 图像优化和深度学习

个人主页: songjiebo@bimsa.cn

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] Jiebo Song, Huaming Ling, Masked Subspace Clustering Methods, accepted by ICAMCS2024: The International Conference on Applied Mathematics and Computer Science (2024)
  • [2] Huaming Ling, Chenglong Bao, Jiebo Song, Zuoqiang Shi, Fast and Scalable Semi-Supervised Learning for Multi-View Subspace Clustering, https://arxiv.org/abs/2408.05707 (2024)
  • [3] 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)
  • [4] 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
  • [5] 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
  • [6] 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, 2019 IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, Korea (South), 2019(2019), 3713-3722

 

更新时间: 2024-12-02 14:54:51