A Survey on Semantic Segmentation. - Biao Li 005; Yong Shi 001; Zhiquan Qi; Zhensong Chen 001 (ICDM Workshops, 2018)

A generalized concept-cognitive learning: A machine learning viewpoint. - Yunlong Mi; Yong Shi 001; Jinhai Li 001; Jiabin Liu; Biao Li 005 (CoRR, 2018)

A Novel Texture Generation Super Resolution Model. - Biao Li 005; Yong Shi 001; Sujuan Li; Bo Wang 049; Zhiquan Qi; Jiabin Liu (ITQM, 2019)

s-LWSR: Super Lightweight Super-Resolution Network. - Biao Li 005; Bo Wang 049; Jiabin Liu; Zhiquan Qi; Yong Shi 001 (IEEE Trans. Image Process., 2020)

RGSR: A two-step lossy JPG image super-resolution based on noise reduction. - Biao Li 005; Yong Shi 001; Bo Wang 049; Zhiquan Qi; Jiabin Liu (Neurocomputing, 2021)

Self-supervised knowledge distillation for complementary label learning. - Jiabin Liu; Biao Li 005; Minglong Lei; Yong Shi 001 (Neural Networks, 2022)

GAN-CL: Generative Adversarial Networks for Learning From Complementary Labels. - Jiabin Liu; Hanyuan Hang; Bo Wang 049; Biao Li 005; Huadong Wang; Yingjie Tian 001; Yong Shi 001 (IEEE Trans. Cybern., 2023)

A Text Mining Approach to Covid-19 Literature. - Fangyao Liu; Daji Ergu; Biao Li 005; Wei Deng; Zhengxin Chen; Guoqing Lu; Yong Shi 001 (Int. J. Inf. Technol. Decis. Mak., 2024)

Efficient Reference-Based Super Resolution for Product Image with Frequency-Spatial Aggregation. - Yong Shi 001; Jiayu Xue; Biao Li 005; Zhiquan Qi; Fangyao Liu (Int. J. Inf. Technol. Decis. Mak., 2025)

Progressive Training for Learning From Label Proportions. - Jiabin Liu; Bo Wang 049; Yuping Zhang; Huadong Wang; Biao Li 005; Xin Shen 003; Gang Kou (IEEE Trans. Neural Networks Learn. Syst., 2025)