Sharp and Real Image Super-Resolution Using Generative Adversarial Network. - Dongyang Zhang 001; Jie Shao 001; Gang Hu 004; Lianli Gao (ICONIP (3), 2017)

Small Object Detection Using Deep Feature Pyramid Networks. - Zhenwen Liang; Jie Shao 001; Dongyang Zhang 001; Lianli Gao (PCM (3), 2018)

A Fast End-to-End Method with Style Transfer for Room Layout Estimation. - Junming Chen; Jie Shao 001; Dongyang Zhang 001; Xuehui Wu (ICME, 2019)

Jointly Solving Deblurring and Super-Resolution Problems with Dual Supervised Network. - Zhenwen Liang; Dongyang Zhang 001; Jie Shao 001 (ICME, 2019)

Unsupervised Facial Image Synthesis Using Two-Discriminator Adversarial Autoencoder Network. - Xuehui Wu; Jie Shao 001; Dongyang Zhang 001; Junming Chen (ICME, 2019)

Dual-Path Recurrent Network for Image Super-Resolution. - Xinyao Li; Dongyang Zhang 001; Jie Shao 001 (ICONIP (5), 2019)

Fused Recurrent Network Via Channel Attention For Remote Sensing Satellite Image Super-Resolution. - Xinyao Li; Dongyang Zhang 001; Zhenwen Liang; Deqiang Ouyang; Jie Shao 001 (ICME, 2020)

Joint image deblurring and super-resolution with attention dual supervised network. - Dongyang Zhang 001; Zhenwen Liang; Jie Shao 001 (Neurocomputing, 2020)

Traffic sign detection and recognition based on pyramidal convolutional networks. - Zhenwen Liang; Jie Shao 001; Dongyang Zhang 001; Lianli Gao (Neural Comput. Appl., 2020)

Kernel Attention Network for Single Image Super-Resolution. - Dongyang Zhang 001; Jie Shao 001; Heng Tao Shen (ACM Trans. Multim. Comput. Commun. Appl., 2020)

Efficient Spatio-Temporal Network with Gated Fusion for Video Super-Resolution. - Changyu Li; Dongyang Zhang 001; Ning Xie 003; Jie Shao 001 (ICANN (5), 2021)

Learning Multi-dimensional Parallax Prior for Stereo Image Super-Resolution. - Changyu Li; Dongyang Zhang 001; Chunlin Jiang; Ning Xie 003; Jie Shao 001 (ICONIP (6), 2021)

PFFN: Progressive Feature Fusion Network for Lightweight Image Super-Resolution. - Dongyang Zhang 001; Changyu Li; Ning Xie 003; Guoqing Wang 001; Jie Shao 001 (ACM Multimedia, 2021)

Multi-Branch Networks for Video Super-Resolution With Dynamic Reconstruction Strategy. - Dongyang Zhang 001; Jie Shao 001; Zhenwen Liang; Xueliang Liu; Heng Tao Shen (IEEE Trans. Circuits Syst. Video Technol., 2021)

Remote Sensing Image Super-Resolution via Mixed High-Order Attention Network. - Dongyang Zhang 001; Jie Shao 001; Xinyao Li; Heng Tao Shen (IEEE Trans. Geosci. Remote. Sens., 2021)

Large Factor Image Super-Resolution With Cascaded Convolutional Neural Networks. - Dongyang Zhang 001; Jie Shao 001; Zhenwen Liang; Lianli Gao; Heng Tao Shen (IEEE Trans. Multim., 2021)

Wide Feature Projection with Fast and Memory-Economic Attention for Efficient Image Super-Resolution. - Minghao Fu 002; Dongyang Zhang 001; Min Lei; Kun He; Changyu Li; Jie Shao 001 (BMVC, 2022)

DRGI: Deep Relational Graph Infomax for Knowledge Graph Completion: (Extended Abstract). - Shuang Liang 002; Jie Shao 001; Dongyang Zhang 001; Jiasheng Zhang; Bin Cui 001 (ICDE, 2022)

Capturing Cross-Scale Disparity for Stereo Image Super-Resolution. - Kun He; Changyu Li; Dongyang Zhang 001; Jie Shao 001 (ICASSP, 2023)

DRGI: Deep Relational Graph Infomax for Knowledge Graph Completion. - Shuang Liang 002; Jie Shao 001; Dongyang Zhang 001; Jiasheng Zhang; Bin Cui 001 (IEEE Trans. Knowl. Data Eng., 2023)

Knowledge Distillation for Single Image Super-Resolution via Contrastive Learning. - Cencen Liu; Dongyang Zhang 001; Ke Qin (ICMR, 2024)

Towards Effective Data-Free Knowledge Distillation via Diverse Diffusion Augmentation. - Muquan Li; Dongyang Zhang 001; Tao He 007; Xiurui Xie; Yuan-Fang Li; Ke Qin (ACM Multimedia, 2024)

Towards Open-vocabulary HOI Detection with Calibrated Vision-language Models and Locality-aware Queries. - Zhenhao Yang; Xin Liu; Deqiang Ouyang; Guiduo Duan; Dongyang Zhang 001; Tao He 007; Yuan-Fang Li (ACM Multimedia, 2024)

Towards Lifelong Scene Graph Generation with Knowledge-ware In-context Prompt Learning. - Tao He 007; Tongtong Wu; Dongyang Zhang 001; Guiduo Duan; Ke Qin; Yuan-Fang Li (CoRR, 2024)

Adaptive Dataset Quantization. - Muquan Li; Dongyang Zhang 001; Qiang Dong; Xiurui Xie; Ke Qin (AAAI, 2025)

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition. - Wen Yin; Yong Wang; Guiduo Duan; Dongyang Zhang 001; Xin Hu; Yuan-Fang Li; Tao He 007 (CVPR, 2025)

MBCQ: Mixed-bias compensation quantization for extremely low-bit post-training quantization. - Zherui Fan; Ke Qin; Xiao Wang 055; Dongyang Zhang 001; Tao He 007 (ICSIM, 2025)

Dynamic Layer-Wise Strategy for Parameter-Efficient Fine-Tuning. - Guowei Peng; Yuning Yang; Dongyang Zhang 001; Xiurui Xie; Anning Jiang; Fangyi Ding (ICSIM, 2025)

A MoE-based Safety Fine-tuning Method for Multimodal Large Language Models. - Runjia Zhang; Qi Xue; Nanxin Zhang; Yu Wang; Xiurui Xie; Dongyang Zhang 001 (ICSIM, 2025)

Fine-grained Block Pruning with Tiny Sets for Vision Transformers. - Yilin Wang; Qiang Dong; Dongyang Zhang 001; Xin Hu; Tao He 007; Aiguo Chen (ICMR, 2025)

SRMamba-T: Exploring the hybrid Mamba-Transformer network for Single Image Super-Resolution. - Cencen Liu; Dongyang Zhang 001; Guoming Lu; Wen Yin; Jielei Wang; Guangchun Luo (Neurocomputing, 2025)

Toward lightweight image super-resolution via re-parameterized kernel recalibration. - Dongyang Zhang 001; Jiachi Liu; Shuang Liang 002; Xiurui Xie; Qiang Dong; Ke Qin (Knowl. Based Syst., 2025)

CVIformer: Cross-View Interactive Transformer for Efficient Stereoscopic Image Super-Resolution. - Dongyang Zhang 001; Shuang Liang 002; Tao He 007; Jie Shao 001; Ke Qin (IEEE Trans. Emerg. Top. Comput. Intell., 2025)