刘佳斌 - 北京理工大学 - 信息与电子学院

个人简介

2022.06 至今：任职于北京理工大学信息与电子学院 2016.09-2019.06：就读于北京三星通信技术公司数学专业博士后 2016.09-2019.06：就读于中国科学院大学计算机应用技术专业博士 2013.09-2016.04：就读于北京理工大学信息与通信工程专业硕士 2009.09-2013.06：就读于东北大学电子信息工程专业本科荣誉奖励获得三星优秀论文奖项获得第二届 5G + AI 全国竞赛第一名学术兼职及其他担任 IEEE Transactions on neural networks and learning systems、IEEE Transactions on Cybernetcis、IEEE Transactions on Multimedia、NIPS、IJCAI等期刊与会议审稿人

研究领域

深度学习、弱监督机器学习、计算机视觉、雷达信号处理

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Jiabin Liu, Bo Wang, Zhiquan Qi, Yingjie Tian and Yong Shi. Learning from label proportions with generative adversarial networks. Advances in Neural Information Processing Systems 32 (2019). (CCF-A) Jiabin Liu, Bo Wang, Xin Shen, Zhiquan Qi and Yingjie Tian. Two-stage Training for Learning from Label Proportions. IJCAI2021. (CCF-A) Hongwei Wen, Jingyi Cui, Hanyuan Hang, Jiabin Liu, Yiseng Wang and Zhouchen Lin. Leveraged weighted loss for partial label learning[C]. International Conference on Machine Learning. PMLR, 2021: 11091-11100. (CCF-A , Oral, Corresponding author) Jiabin Liu, Hanyuan Hang, Bo Wang, Huadong Wang, Biao Li and YingJie Tian. "GAN-CL: Generative Adversarial Networks for Learning From Complementary Labels." IEEE transactions on cybernetics (2021). (中科院一区) Jiabin Liu, Bo Wang, Hanyuan Hang, Zhiquan Qi, Huadong Wang, Yingjie Tian and Yong Shi. LLP-GAN: A GAN-Based Algorithm for Learning From Label Proportions[J]. IEEE Transactions on Neural Networks and Learning Systems, 2022. (中科院一区) Jiabin Liu, Zhiquan Qi, Bo Wang, Yingjie Tian and Yong Shi. "SELF-LLP: Self-supervised learning from label proportions with self-ensemble." Pattern Recognition 129 (2022): 108767. (中科院一区) Jiabin Liu, Biao Li, Minglong Lei and Yong Shi. (2022). Self-supervised knowledge distillation for complementary label learning. Neural Networks, 155, 318-327. (中科院一区)