Dr. Dongyang Zhang 张东阳

Refereed Journal Articles

1. Dongyang Zhang, Hang Gou, Yue Zhang, Dan Song and Xiurui Xie, "NDM: Boosting Dataset Distillation via Nested Difficulty Matching," IEEE Transactions on Circuits and Systems for Video Technology, 36(6): 7952-7964, 2026.
2. Muquan Li, Yingyi Ma, Dongyang Zhang, Yi Bin, Ke Qin, Guangchun Luo, "Every Style Helps: Boosting Data-Free Knowledge Distillation by Style Disentanglement Transfer," IEEE Transactions on Multimedia, early access, 2026.
3. Xiao Wang, Ke Qin, Dongyang Zhang, Xiurui Xie, and Shuang Liang, "From Tradeoff to Synergy: Rethinking the Long-Tail Session-Based Recommendation via Dual Constraints of Hybrid Intent," ACM Transactions on Information Systems, 44(5): Article 122, 28 pages, 2026.
4. Xin Wu, Junfeng Yang, Dongyang Zhang, "Enhancing Lightweight Image Super-Resolution through Frequency-Enhanced Mamba Networks," The Visual Computer, 42(8): Article 322, 2026.
5. Junfeng Yang, Cencen Liu, Xinyu Liu, Zihan Zhang, Dongyang Zhang, Qiang Dong, and Xiurui Xie, "HSFM: Hybrid Spatial Frequency Mamba for Efficient Image Restoration," IEEE Transactions on Computational Imaging, 12: 787-799, 2026.
6. Yingyi Ma, Muquan Li, Guiduo Duan, Ke Qin, Shuang Liang, Dongyang Zhang, "Efficient Dataset Distillation via Generative Pruning," IEEE Transactions on Big Data, 12(4): 1195-1207, 2026.
7. Muquan Li, Qian Dong, Dongyang Zhang, Ke Qin and Guangchun Luo, "Efficient Industrial Dataset Distillation with Textual Trajectory Matching," IEEE Transactions on Industrial Informatics, 22(6): 5357-5368, 2026.
8. Tao He, Xin Hu, Tongtong Wu, Dongyang Zhang, Ming Li, Yuan-Fang Li, Fei Richard Yu, "Lifelong Scene Graph Generation," Pattern Recognition, 176:113132, 2026.
9. Deng Luo, Dongyang Zhang, Qiuhao Xie, Cencen Liu, Qiang Dong, Xiurui Xie, "Rethinking Attention Cues: Multi-Factor Guided Token Pruning for Efficient Vision-Language Understanding," Knowledge-Based Systems, 337:115418, 2026.
10. Dongmin Li, Xiurui Xie, Dongyang Zhang, Athanasios V. Vasilakos, Man-Fai Leung, "SEMQ: Efficient Non-Uniform Quantization with Sensitivity-Based Error Minimization for Large Language Models," Future Generation Computer Systems, 175:108120, 2026.
11. Cencen Liu, Wen Yin, Yi Xu, QiuGang Zhan, Dongyang Zhang, Ahmad Raza, "DDM4TST: Diffusion Model for Fine-Grained Text Style Transfer by Disentangled Representation," ACM Transactions on Asian and Low-Resource Language Information Processing, 24(10): Article 110, 17 pages, 2025.
12. Dongyang Zhang, Jiachi Liu, Shuang Liang, Xiurui Xie, Qiang Dong, Ke Qin, "Towards Lightweight Image Super-Resolution via Re-Parameterized Kernel Recalibration," Knowledge-Based Systems, 325:113876, 2025.
13. Cencen Liu, Dongyang Zhang, Guoming Lu, Wen Yin, Jielei Wang, Guangchun Luo, "SRMamba-T: Exploring the Hybrid Mamba-Transformer Network for Single Image Super-Resolution," Neurocomputing, 624:129488, 2025.
14. Dongyang Zhang, Shuang Liang, Tao He, Jie Shao, and Ke Qin, "CVIformer: Cross-View Interactive Transformer for Efficient Stereoscopic Image Super-Resolution," IEEE Transactions on Emerging Topics in Computational Intelligence, 9(2): 1107-1118, 2025.
15. 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, 35(3): 2486-2499, 2023.
16. 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, 31(10): 3954-3966, 2021.
17. 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, 23: 2172-2184, 2021.
18. 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, 59(6): 5183-5196, 2021.
19. Dongyang Zhang, Jie Shao, and Heng Tao Shen, "Kernel Attention Network for Single Image Super-Resolution," ACM Transactions on Multimedia Computing Communications and Applications, 16(3): Article 90, 15 pages, 2020.
20. Zhenwen Liang, Jie Shao, Dongyang Zhang, and Lianli Gao, "Traffic Sign Detection and Recognition Based on Pyramidal Convolutional Networks," Neural Computing and Applications, 32(11): 6533-6543, 2020.
21. 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

1. Chunhui Lin, Qiuhao Xie, Muquan Li, Dongmin Li, Dongyang Zhang, Ke Qin, "Alignment-Preserving Knowledge Transfer for Heterogeneous Multimodal Large Language Model Merging," In ACM MM, 2026.
2. Cencen Liu, Wen Yin, Dongyang Zhang, Dongmin Li, SHAN ZHAO, Bing Su, Tao He, Jielei Wang, Guoming Lu, "What to Remove, What to Preserve: Dual-Ambiguity Rectification for All-in-One Image Restoration," In ACM MM, 2026.
3. Cencen Liu, Dongyang Zhang, Wen Yin, Jielei Wang, Tianyu Li, Ji Guo, Wenbo Jiang, Guoqing Wang, Guoming Lu, "AlignVAR: Towards Globally Consistent Visual Autoregression for Image Super-Resolution," In Findings of CVPR, 2026.
4. Rongzheng Wang, Shuang Liang, Qizhi Chen, Yihong Huang, Muquan Li, Yizhuo Ma, Dongyang Zhang, Ke Qin and Man-Fai Leung, "GraphCogent: Mitigating LLMs' Working Memory Constraints via Multi-Agent Collaboration in Complex Graph Understanding," In The Web Conference (WWW), pages 3811-3822, 2026.
5. Qizhi Chen, Chao Qi, Yihong Huang, Muquan Li, Rongzheng Wang, Dongyang Zhang, Ke Qin and Shuang Liang, "KEPo: Knowledge Evolution Poison on Graph-based Retrieval-Augmented Generation," In The Web Conference (WWW), pages 2308-2319, 2026.
6. Xiao Wang, Ke Qin, Dongyang Zhang, Xiurui Xie, Shuang Liang, "Bid Farewell to Seesaw: Towards Accurate Long-Tail Session-Based Recommendation Via Dual Constraints of Hybrid Intents," In AAAI, pages 15895-15903, 2026.
7. Muquan Li, Hang Gou, Dongyang Zhang, Shuang Liang, Xiurui Xie, Deqiang Ouyang, Ke Qin, "Beyond Random: Automatic Inner-loop Optimization in Dataset Distillation," In NeurIPS, 2025.
8. Wen Yin, Yong Wang, Guiduo Duan, Dongyang Zhang, Xin Hu, Yuan-Fang Li, Tao He, "Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition," In CVPR, pages 3888-3898, 2025.
9. Muquan Li, Dongyang Zhang, Qiang Dong, Xiurui Xie, and Ke Qin, "Adaptive Dataset Quantization," In AAAI, pages 12093-12101, 2025.
10. Yilin Wang, Qiang Dong, Dongyang Zhang, Xin Hu, Tao He, Aiguo Chen, "Fine-Grained Block Pruning with Tiny Sets for Vision Transformers," In ICMR, pages 1322-1330, 2025.
11. 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 ACM MM, 2024.
12. 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 ACM MM, 2024.
13. Cencen Liu, Dongyang Zhang, and Ke Qin, "Knowledge Distillation for Single Image Super-Resolution via Contrastive Learning," In ICMR, 2024.
14. Xin'an Yu, Dongyang Zhang, Cencen Liu, Qiang Dong, and Guiduo Duan, "Towards Elastic Image Super-Resolution Network via Progressive Self-Distillation," In PRCV, LNCS 15038, pages 137-150, 2024.
15. Kun He, Changyu Li, Dongyang Zhang, and Jie Shao, "Capturing Cross-Scale Disparity for Stereo Image Super-Resolution," In ICASSP, 2023.
16. Shuang Liang, Jie Shao, Dongyang Zhang, Jiasheng Zhang, and Bin Cui, "DRGI: Deep Relational Graph Infomax for Knowledge Graph Completion (Extended Abstract)," In ICDE, pages 1499-1500, 2022.
17. 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 BMVC, 2022.
18. Dongyang Zhang, Changyu Li, Ning Xie, Guoqing Wang, and Jie Shao, "PFFN: Progressive Feature Fusion Network for Lightweight Image Super-Resolution," In ACM MM, pages 3682-3690, 2021.
19. Changyu Li, Dongyang Zhang, Chunlin Jiang, Ning Xie, and Jie Shao, "Learning Multi-Dimensional Parallax Prior for Stereo Image Super-Resolution," In ICONIP, pages 718-727, 2021.
20. Changyu Li, Dongyang Zhang, Ning Xie, and Jie Shao, "Efficient Spatio-Temporal Network with Gated Fusion for Video Super-Resolution," In ICANN, pages 640-651, 2021.
21. 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 ICME, 2020.
22. Zhenwen Liang, Dongyang Zhang, and Jie Shao, "Jointly Solving Deblurring and Super-Resolution Problems with Dual Supervised Network," In ICME, pages 790-795, 2019.
23. Junming Chen, Jie Shao, Dongyang Zhang, and Xuehui Wu, "A Fast End-to-End Method with Style Transfer for Room Layout Estimation," In ICME, pages 964-969, 2019.
24. Xuehui Wu, Jie Shao, Dongyang Zhang, and Junming Chen, "Unsupervised Facial Image Synthesis Using Two-Discriminator Adversarial Autoencoder Network," In ICME, pages 1162-1167, 2019.
25. Xinyao Li, Dongyang Zhang, and Jie Shao, "Dual-Path Recurrent Network for Image Super-Resolution," In ICONIP, pages 99-108, 2019.
26. Zhenwen Liang, Jie Shao, Dongyang Zhang, and Lianli Gao, "Small Object Detection Using Deep Feature Pyramid Networks," In PCM, pages 554-564, 2018.
27. Dongyang Zhang, Jie Shao, Gang Hu, and Lianli Gao, "Sharp and Real Image Super-Resolution Using Generative Adversarial Network," In ICONIP, pages 217-226, 2017.