Biao Li

According to our database, Biao Li authored at least 10 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Progressive Training for Learning From Label Proportions.

Jiabin Liu, Bo Wang, Yuping Zhang, Huadong Wang, Biao Li, Xin Shen, Gang Kou

IEEE Trans. Neural Networks Learn. Syst., November, 2025

Efficient Reference-Based Super Resolution for Product Image with Frequency-Spatial Aggregation.

Yong Shi, Jiayu Xue, Biao Li, Zhiquan Qi, Fangyao Liu

Int. J. Inf. Technol. Decis. Mak., 2025

2024

A Text Mining Approach to Covid-19 Literature.

Fangyao Liu, Daji Ergu, Biao Li, Wei Deng, Zhengxin Chen, Guoqing Lu, Yong Shi

Int. J. Inf. Technol. Decis. Mak., July, 2024

2023

GAN-CL: Generative Adversarial Networks for Learning From Complementary Labels.

Jiabin Liu, Hanyuan Hang, Bo Wang, Biao Li, Huadong Wang, Yingjie Tian, Yong Shi

IEEE Trans. Cybern., 2023

2022

Self-supervised knowledge distillation for complementary label learning.

Jiabin Liu, Biao Li, Minglong Lei, Yong Shi

Neural Networks, 2022

2021

RGSR: A two-step lossy JPG image super-resolution based on noise reduction.

Biao Li, Yong Shi, Bo Wang, Zhiquan Qi, Jiabin Liu

Neurocomputing, 2021

2020

s-LWSR: Super Lightweight Super-Resolution Network.

Biao Li, Bo Wang, Jiabin Liu, Zhiquan Qi, Yong Shi

IEEE Trans. Image Process., 2020

2019

A Novel Texture Generation Super Resolution Model.

Biao Li, Yong Shi, Sujuan Li, Bo Wang, Zhiquan Qi, Jiabin Liu

Proceedings of the 7th International Conference on Information Technology and Quantitative Management, 2019

2018

A generalized concept-cognitive learning: A machine learning viewpoint.

Yunlong Mi, Yong Shi, Jinhai Li, Jiabin Liu, Biao Li

CoRR, 2018

A Survey on Semantic Segmentation.

Biao Li, Yong Shi, Zhiquan Qi, Zhensong Chen

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018