2025

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• Ryugo Morita, Stanislav Frolov, Brian Bernhard Moser, Takahiro Shirakawa, Ko Watanabe, Andreas Dengel, Jinjia Zhou, “TKG-DM: Training-free Chroma Key Content Generation Diffusion Model”, Conference on Computer Vision and Pattern Recognition (CVPR), Jun. 2025

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• Jinghao Ding, Jiazhi Wen, Hao Tang, Zhaoqi Fu, Mengshi Gong, Yuanrui Qi, Wenxin Yu and Jinjia Zhou. "An Effective and Efficient Cross-Link Insertion for Non-Tree Clock Network Synthesis". Design, Automation and Test in Europe Conference (DATE), April 2025.

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• Xinlei Huang, Jialiang Tang, Xubin Zheng, Jinjia Zhou, Wenxin Yu and Ning Jiang, "Learn from Balance:  Rectifying Knowledge Transfer for Long-Tailed Scenarios", 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), April, 2025

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• Riku Takahashi, Ryugo Morita, Fuma Kimishima, Kosuke Iwama, and Jinjia Zhou, "Bidirectional Learned Facial Animation Codec for Low Bitrate Talking Head Videos", Data Compression Conference (DCC 2025), Snowbird, Utah, March, 2025

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• Fuma Kimishima, Jian Yang, and Jinjia Zhou, "Multi-Functional Compressive Sensing Sampling-based Trustworthy Compressive Learning", Data Compression Conference (DCC 2025), Snowbird, Utah, March, 2025

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• Long Ma, Xinwei Xue, Jincheng Yuan, Tianjiao Ma, Qi Jia, Jinjia Zhou, Yi Wang, "Degradation-Decoupled and Semantic-Aggregated Cross-Space Fusion for Underwater Image Enhancement", Information Fusion. (IF: 14.8)

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2024

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• Zhengyu Zhang, Shishun Tian, Jinjia Zhou, Luce Morin, Lu Zhang, "A New Benchmark Database and Objective Metric for Light Field Image Quality Evaluation", IEEE Transactions on Circuits and Systems for Video Technology (CSVT) (Impact Factor: 8.3), DOI: 10.1109/TCSVT.2024.3486336, 2024.

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• Xin Cheng, Jinjia Zhou, "GFA-MTKD: Enhancing Multi-Teacher Knowledge Distillation with Local and Global Frequency Attention", Information, DOI:10.3390/info15110735, 2024

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• Xin Cheng, Jinjia Zhou, "Adaptive Multi-Teacher Knowledge Distillation with Class Attention Transfer", International Conference on Neural Information Processing (ICONIP), Dec. 2024

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• Ping Xiang, Ning Jiang, Jialiang Tang, Haodong Liu, Xinlei Huang, Xin Cheng, Yin Long, Jinjia Zhou, "Dynamic Inter-Class Correlation Knowledge Distillation for Long-Tail Scenarios", International Conference on Neural Information Processing (ICONIP), Dec. 2024

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• Xin Cheng, Zhiqiang Zhang, Wei Weng, Wenxin Yu, Jinjia Zhou. "DE-MKD: Decoupled Multi-Teacher Knowledge Distillation Based on Entropy". Mathematics, 12(11), 1672; https://doi.org/10.3390/math12111672.

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• Xin Cheng, Jinjia Zhou, Zhiqiang Zhang, and Wenxin Yu. "An Analytical GPU-enabled Framework for the Stacked 3-D IC Layouts". Journal of Circuits, Systems and Computers (JCSC). 

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• Manato Shirai, Fuma Kimishima, Jinjia Zhou, Ryugo Morita. "Learned Measurement Interpolation for Scalable Compressive Sensing". International Joint Conference on Neural Networks (IJCNN) 2024. Yokohama, Japan.

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• Fuma Kimishima, Jiayao Xu, Manato Shirai, Jinjia Zhou. "High Frequency Feature Distillation Network for Compressive Sensing Reconstruction". International Joint Conference on Neural Networks (IJCNN) 2024. Yokohama, Japan.

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• Ryugo Morita, Hitoshi Nishimura, Ko Watanabe, Andreas Dengel, Jinjia Zhou. "Edge-based Denoising Image Compression". European Signal Processing Conference(EUSIPCO) 2024. Lyon, France.

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•  Jinjia Zhou, Chen Fu, "Adaptive Detachable Partition based Reference Frame Recompression for Video Coding", IEEE Multimedia.

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• Jian Yang, Jiayao Xu, Pham Do-Kim Chi, and Jinjia Zhou. " JVCSR+: Adaptively Learned Video Compressive Sensing Reconstruction with Joint In-loop Reference Enhancement and Out-loop Super-resolution." Computational Visual Media (2024) (IF2023: 17.3)