Image ordinal estimation: Classification and regression benefit each other. - Chao Zhang 072; Ce Zhu; Yipeng Liu 001; Hongdiao Wen; Zhengtao Wang (APSIPA, 2017)

Image Ordinal Classification and Understanding: Grid Dropout with Masking Label. - Chao Zhang 072; Ce Zhu; Jimin Xiao; Xun Xu 002; Yipeng Liu 001 (ICME, 2018)

Visual aesthetic understanding: Sample-specific aesthetic classification and deep activation map visualization. - Chao Zhang 072; Ce Zhu; Xun Xu 002; Yipeng Liu 001; Jimin Xiao; Tammam Tillo (Signal Process. Image Commun., 2018)

C3AE: Exploring the Limits of Compact Model for Age Estimation. - Chao Zhang 072; Shuaicheng Liu; Xun Xu 002; Ce Zhu (CVPR, 2019)

Revisiting image ordinal estimation: how to deal with ordinal relationship in deep learning? - Chao Zhang 072; Ce Zhu; Xun Xu 002 (J. Electronic Imaging, 2019)

MultiANet: a Multi-Attention Network for Defocus Blur Detection. - Zeyu Jiang; Xun Xu 002; Chao Zhang 072; Ce Zhu (MMSP, 2020)

AFDet: Toward More Accurate and Faster Object Detection in Remote Sensing Images. - Nanqing Liu; Turgay Çelik 001; Tingyu Zhao; Chao Zhang 072; Heng-Chao Li 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Local-Global Interaction and Progressive Aggregation for Video Salient Object Detection. - Dingyao Min; Chao Zhang 072; Yukang Lu; Keren Fu; Qijun Zhao (ICONIP (6), 2022)

Mutual-Guidance Transformer-Embedding Network for Video Salient Object Detection. - Dingyao Min; Chao Zhang 072; Yukang Lu; Keren Fu; Qijun Zhao (IEEE Signal Process. Lett., 2022)

MA-GANet: A Multi-Attention Generative Adversarial Network for Defocus Blur Detection. - Zeyu Jiang; Xun Xu 002; Le Zhang 001; Chao Zhang 072; Chuan Sheng Foo; Ce Zhu (IEEE Trans. Image Process., 2022)

Heterogeneous-training: A Semi-supervised Text Classification Method. - Yuhao Shen 003; Bo Li 054; Xinlan Xu; Bing Luo; Chao Zhang 072; Fei Hao 001 (BDIOT, 2023)

Concept Lattice Factorization in Social Networks. - Fei Hao 001; Chao Zhang 072; Bo Li 054; Jianmei Cheng (BDIOT, 2023)

Blind image deblurring via content adaptive method. - Zhongzhe Cheng; Bing Luo; Li Xu; Bo Li 054; Zheng Pei 001; Chao Zhang 072 (Signal Process. Image Commun., 2023)

LiDAR Point Cloud Compression Improvement through Sampling Operations. - Chang Duan; Chen Liao; Shun Wang; Quan Zhang; Chao Zhang 072; Ce Zhu (BMSB, 2024)

Modeling and analyzing the action process of monoamine hormones in depression: a Petri nets-based intelligent approach. - Xuyue Wang; Wangyang Yu 001; Chao Zhang 072; Jia Wang; Fei Hao 001; Jin Li 011; Jing Zhang 024 (Frontiers Big Data, 2024)

Blind Image Deblurring via Minimizing Similarity Between Fuzzy Sets on Image Pixels. - Junge Peng; Bing Luo; Li Xu; Jun Yang; Chao Zhang 072; Zheng Pei 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

FITE-GAT: Enhancing aspect-level sentiment classification with FT-RoBERTa induced trees and graph attention network. - Mengmeng Fan; Mingming Kong; Xi Wang; Fei Hao 001; Chao Zhang 072 (Expert Syst. Appl., 2025)

Fc-gcn: A formal concept-enhanced graph convolution network model. - Kai Wu; Chao Zhang 072; Fei Hao 001; Jinhai Li; Qing Wan; Kyuwon Park; Xueyang Qin; Vincenzo Loia (Soft Comput., 2025)