刘佳斌

助理教授

出生年月：1990年06月

办公电话：010-68918798

电子邮件：liujiabin@bit.edu.cn

所在学科

信息与通信工程

研究方向

深度学习、弱监督机器学习、计算机视觉、雷达信号处理

个人简历

2022.06 至今：任职于 麻痘miya忘忧草一区 麻痘miya忘忧草一区

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 麻痘miya忘忧草一区 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

代表性学术成果

请在此处填写（代表性学术成果可综述，若列项填写最多不超过20项）

[1]. 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)

[2]. Jiabin Liu, Bo Wang, Xin Shen, Zhiquan Qi and Yingjie Tian. Two-stage Training for Learning from Label Proportions. IJCAI2021. (CCF-A)

[3]. 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)

[4]. 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)

[5]. 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)

[6]. 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)

[7] 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)

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。