求真百科歡迎當事人提供第一手真實資料,洗刷冤屈,終結網路霸凌。

變更

前往: 導覽搜尋

刘佳斌

增加 2,741 位元組, 6 天前
创建页面,内容为“{| class="wikitable" style="float:right; margin: -10px 0px 10px 20px; text-align:left" |<center>''' 刘佳斌 '''<br><img src=" https://sie.bit.edu.cn/images///2023…”
{| class="wikitable" style="float:right; margin: -10px 0px 10px 20px; text-align:left"
|<center>''' 刘佳斌 '''<br><img src=" https://sie.bit.edu.cn/images///2023-03/db535c527f1d4b39b0529d46241dacb3.jpeg " width="180"></center><small>[https://www.bit.edu.cn/ 北京理工大学]

</small>
|}

'''刘佳斌''',男, 北京理工大学副教授。

==人物简历==

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
==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]]

==学术成果==

[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==

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。 <ref>[https://www.bit.edu.cn/ 北京理工大学]</ref>
==参考资料==
{{reflist}}

[[Category:教授]]
20,445
次編輯