I am a Deputy Reseacher (equal to Associate Professor) at Laboratory of Intelligent Collaborative Computing, UESTC. Before working at UESTC, I earned my Ph.D. in Computer Science and Technology at UESTC in 2022 under the supervision of Prof. Heng Tao SHEN and co-supervision with Prof. Jie Shao. I obtained my BS degree in Software Engineering from UESTC in 2017. My research interests focus on computer vision and model compression, especially for lightweight deep image restoration, such as super-resolution, image deblurring and model quantization etc.

Publications

Refereed Journal Articles

• Dongyang Zhang, Shuang Liang, Tao He, Jie Shao, and Ke Qin, " CVIformer: Cross-View Interactive Transformer for Effcient Stereoscopic Image Super-Resolution", IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2024.
• Shuang Liang, Jie Shao, Dongyang Zhang, Jiasheng Zhang, and Bin Cui, "DRGI: Deep Relational Graph Infomax for Knowledge Graph Completion", IEEE Transactions on Knowledge and Data Engineering (TKDE), 35(3): 2486-2499, 2023.
• Dongyang Zhang, Jie Shao, Zhenwen Liang, Xueliang Liu, and Heng Tao Shen, "Multi-branch Networks for Video Super-Resolution with Dynamic Reconstruction Strategy", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 31(10): 3954-3966, 2021.
• Dongyang Zhang, Jie Shao, Zhenwen Liang, Lianli Gao, and Heng Tao Shen, "Large Factor Image Super-Resolution with Cascaded Convolutional Neural Networks", IEEE Transactions on Multimedia (TMM), 23: 2172-2184, 2021.
• Dongyang Zhang, Jie Shao, Xinyao Li, and Heng Tao Shen, "Remote Sensing Image Super-Resolution via Mixed High-Order Attention Network", IEEE Transactions on Geoscience and Remote Sensing (TGRS), 59(6): 5183-5196, 2021.
• Dongyang Zhang, Jie Shao, and Heng Tao Shen, "Kernel Attention Network for Single Image Super-Resolution", ACM Transactions on Multimedia Computing Communications and Applications (TOMM), 16(3): Article 90, 15 pages, 2020.
• Zhenwen Liang, Jie Shao, Dongyang Zhang, and Lianli Gao, "Traffic Sign Detection and Recognition based on Pyramidal Convolutional Networks", Neural Computing and Applications (NCAA), 32(11): 6533-6543, 2020.
• Dongyang Zhang, Zhenwen Liang, and Jie Shao, "Joint Image Deblurring and Super-resolution with Attention Dual Supervised Network", Neurocomputing, 412: 187-196, 2020.

Refereed Conference Papers

• Muquan Li, Dongyang Zhang, Tao He, Xiurui Xie, Yuan-Fang Li, and Ke Qin, "Towards Effective Data-Free Knowledge Distillation via Diverse Diffusion Augmentation", In Proceedings of the 32st ACM International Conference on Multimedia (ACM MM), 28 October - 1 November 2024, Melbourne, Australia.
• Zhenhao Yang, Xin Liu, Deqiang Ouyang, Guiduo Duan, Dongyang Zhang, Tao He, Yuan-Fang Li, "Towards Open-vocabulary HOI Detection with Calibrated Vision-language Models and Locality-aware Queries", In Proceedings of the 32st ACM International Conference on Multimedia (ACM MM), 28 October - 1 November 2024, Melbourne, Australia.
• CenCen Liu, Dongyang Zhang, and Ke Qin, "Knowledge Distillation for Single Image Super-Resolution via Contrastive Learning", In Proceedings of the 2024 International Conference on Multimedia Retrieval (ICMR), June 10-14, 2024, Phuket, Thailand.
• Xin'an Yu, Dongyang Zhang, Cencen Liu, Qiang Dong, and Guiduo Duan, "Towards Elastic Image Super-Resolution Network via Progressive Self-distillation", In Proceedings of the 7th Chinese Conference on Pattern Recognition and Computer Vision (PRCV), Oct 18-20, 2024, Urumqi, China.
• Kun He, Changyu Li, Dongyang Zhang, and Jie Shao, "Capturing Cross-Scale Disparity for Stereo Image Super-Resolution", In Proceedings of the 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), June 4-10 2023, Rhodes Island, Greek.
• Shuang Liang, Jie Shao, Dongyang Zhang, Jiasheng Zhang, and Bin Cui, "DRGI: Deep Relational Graph Infomax for Knowledge Graph Completion (Extended Abstract)", In Proceedings of the 38th IEEE International Conference on Data Engineering (ICDE), pages 1499-1500, May 9-12 2022, Kuala Lumpur, Malaysia.
• Minghao Fu, Dongyang Zhang, Min Lei, Kun He, Changyu Li, and Jie Shao, "Wide Feature Projection with Fast and Memory-Economic Attention for Efficient Image Super-Resolution", In Proceedings of the 33rd British Machine Vision Conference (BMVC), November 21-24 2022, London, UK.
• Dongyang Zhang, Changyu Li, Ning Xie, Guoqing Wang, and Jie Shao, "PFFN: Progressive Feature Fusion Network for Lightweight Image Super-Resolution", In Proceedings of the 29th ACM International Conference on Multimedia (ACM MM), pages 3682-3690, October 20-24 2021, Chengdu, China.
• Changyu Li, Dongyang Zhang, Chunlin Jiang, Ning Xie, and Jie Shao, "Learning Multi-dimensional Parallax Prior for Stereo Image Super-Resolution", In Proceedings of the 28th International Conference on Neural Information Processing (ICONIP), pages 718-727, December 8-12 2021, Bali, Indonesia.
• Changyu Li, Dongyang Zhang, Ning Xie, and Jie Shao, "Efficient Spatio-Temporal Network with Gated Fusion for Video Super-Resolution", In Proceedings of the 30th International Conference on Artificial Neural Networks (ICANN), pages 640-651, September 14-17 2021, Bratislava, Slovakia.
• Xinyao Li, Dongyang Zhang, Zhenwen Liang, Deqiang Ouyang, and Jie Shao, "Fused Recurrent Network via Channel Attention for Remote Sensing Satellite Image Super-Resolution", In Proceedings of the 2020 IEEE International Conference on Multimedia and Expo (ICME), July 6-10 2020, London, United Kingdom.
• Zhenwen Liang, Dongyang Zhang, and Jie Shao, "Jointly Solving Deblurring and Super-Resolution Problems with Dual Supervised Network", In Proceedings of the 2019 IEEE International Conference on Multimedia and Expo (ICME), pages 790-795, July 8-12 2019, Shanghai, China.
• Junming Chen, Jie Shao, Dongyang Zhang, and Xuehui Wu, "A Fast End-to-End Method with Style Transfer for Room Layout Estimation", In Proceedings of the 2019 IEEE International Conference on Multimedia and Expo (ICME), pages 964-969, July 8-12 2019, Shanghai, China.
• Xuehui Wu, Jie Shao, Dongyang Zhang, and Junming Chen, "Unsupervised Facial Image Synthesis using Two-discriminator Adversarial Autoencoder Network", In Proceedings of the 2019 IEEE International Conference on Multimedia and Expo (ICME), pages 1162-1167, July 8-12 2019, Shanghai, China.
• Xinyao Li, Dongyang Zhang, and Jie Shao, "Dual-Path Recurrent Network for Image Super-Resolution", In Proceedings of the 26th International Conference on Neural Information Processing (ICONIP), pages 99-108, December 12-15 2019, Sydney, Australia.
• Zhenwen Liang, Jie Shao, Dongyang Zhang, and Lianli Gao, "Small Object Detection Using Deep Feature Pyramid Networks", In Proceedings of the 19th Pacific-Rim Conference on Multimedia (PCM), pages 554-564, September 21-22 2018, Hefei, China.
• Dongyang Zhang, Jie Shao, Gang Hu, and Lianli Gao, "Sharp and Real Image Super-Resolution Using Generative Adversarial Network", In Proceedings of the 24th International Conference on Neural Information Processing (ICONIP), pages 217-226, November 14-18 2017, Guangzhou, China.

Acadamic Service

• As a reviewer for confereces: AAAI, ACMMM, WACV, ICANN, ICONIP, ICME, ICASSP
• As a reviewer for journals: TGRS, TIP, TCSVT, TMM, PR, Neurocomputing, PRL, SPL, DSP, CVIU