檢視李彪的原始碼

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|<center>''' 李彪  '''<br><img src=" https://gs.swufe.edu.cn/__local/E/5A/33/662195B385CD52D25A654077340_57D771D5_158AD.jpeg?e=.jpeg " width="180"></center><small>[https://gs.swufe.edu.cn/info/1093/2316.htm  西南财经大学]

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'''李彪'''，男，西南财经大学教授。

==人物简历==

=== 教育背景 ===

2017.9-2020.7 中国科学院大学 管理科学与工程 博士

2014.7-2017.1 天津大学 工商管理 硕士

2006.9-2010.7 [[集美大学]] 工商管理 学士
==研究方向==

深度学习，计算机视觉，机器学习，[[量化交易]]。主要研究内容包括生成模型，超分辨率任务，机器学习量化金融等。

==研究成果==

(1)Biao Li; Yong Shi; Bo Wang; Zhiquan Qi; Jiabin Liu ; RGSR: A two-step lossy JPG image super-resolution based on noise reduction, Neurocomputing (期刊论文)

(2)Biao Li; Bo Wang; Jiabin Liu; Zhiquan Qi; Yong Shi ; s-LWSR: Super Lightweight Super-Resolution Network, IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 29(8): 8368-8380 (期刊论文)

(3) Yong Shi;Biao Li; Bo Wang; Zhiquan Qi; Jiabin Liu ; Unsupervised Single-Image Super-Resolution with Multi-Gram Loss, electronics, 2019, 8(8) (期刊论文)

(4)Biao Li; Yong Shi; Zhiquan Qi; Zhensong Chen ; A Survey on Semantic Segmentation, 2018 IEEE International Conference on Data Mining Workshops (ICDMW), Singapore, 2018-11-17至2018-11-20(会议论文)

(5) Jiabin Liu; Hanyuan Hang; Bo Wang;Biao Li; Huadong Wang; Yingjie Tian; Yong Shi ; GAN-CL: Generative Adversarial Networks for Learning From Complementary Labels, IEEE TRANSACTIONS ON CYBERNETICS, 2021 (期刊论文)

(6) Jiabin Liu,Biao Li*, Minglong Lei, and Yong Shi. "Self-supervised knowledge distillation for complementary label learning." Neural Networks 155 (2022): 318-327. (SCI期刊论文通讯作者)

（7）Feng, Jinyuan, Yunxi Yan, Manling Huang, Yang Du, Zhichen Lu, andBiao Li. "A Study on The Multi-Attribute Decision Theory and Methods." Procedia Computer Science 214 (2022): 544-551. (会议论文)

（8）JPG图像超分辨率恢复方法、计算机可读存储介质及终端，专利号：ZL 2022 1 0448558.0（发明专利，第一完成人）。<ref>[https://www.swufe.edu.cn/index.htm 西南财经大学]</ref>
==参考资料== 
{{reflist}}

[[Category:教授]]