Biao Li

11 papers Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Efficient Reference-Based Super Resolution for Product Image with Frequency-Spatial Aggregation.
Int. J. Inf. Technol. Decis. Mak.
Yong Shi, Jiayu Xue, Biao Li, Zhiquan Qi, Fangyao Liu
2025 J jnl
Progressive Training for Learning From Label Proportions.
IEEE Trans. Neural Networks Learn. Syst.
Jiabin Liu, Bo Wang, Yuping Zhang, Huadong Wang, Biao Li, Xin Shen, Gang Kou
2024 J jnl
A Text Mining Approach to Covid-19 Literature.
Int. J. Inf. Technol. Decis. Mak.
Fangyao Liu, Daji Ergu, Biao Li, Wei Deng, Zhengxin Chen, Guoqing Lu, Yong Shi
2023 J jnl
GAN-CL: Generative Adversarial Networks for Learning From Complementary Labels.
IEEE Trans. Cybern.
Jiabin Liu, Hanyuan Hang, Bo Wang, Biao Li, Huadong Wang, Yingjie Tian, Yong Shi
2022 J jnl
Self-supervised knowledge distillation for complementary label learning.
Neural Networks
Jiabin Liu, Biao Li, Minglong Lei, Yong Shi
2021 J jnl
RGSR: A two-step lossy JPG image super-resolution based on noise reduction.
Neurocomputing
Biao Li, Yong Shi, Bo Wang, Zhiquan Qi, Jiabin Liu
2020 J jnl
s-LWSR: Super Lightweight Super-Resolution Network.
IEEE Trans. Image Process.
Biao Li, Bo Wang, Jiabin Liu, Zhiquan Qi, Yong Shi
2019 — conf
A Novel Texture Generation Super Resolution Model.
ITQM
Biao Li, Yong Shi, Sujuan Li, Bo Wang, Zhiquan Qi, Jiabin Liu
2019 J jnl
s-LWSR: Super Lightweight Super-Resolution Network.
CoRR
Biao Li, Jiabin Liu, Bo Wang, Zhiquan Qi, Yong Shi
2018 — conf
A Survey on Semantic Segmentation.
ICDM Workshops
Biao Li, Yong Shi, Zhiquan Qi, Zhensong Chen
2018 J jnl
A generalized concept-cognitive learning: A machine learning viewpoint.
CoRR
Yunlong Mi, Yong Shi, Jinhai Li, Jiabin Liu, Biao Li