MTRT: Motion Trajectory Reconstruction Transformer for EEG-based BCI Decoding von Wang, Pengpai, Li, Zhongnian, Gong, Peiliang, Zhou, Yueying, Chen, Fang, Zhang, Daoqiang

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Complementary label learning based on knowledge distillation von Ying, Peng, Li, Zhongnian, Sun, Renke, Xu, Xinzheng

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A comprehensive review of graph convolutional networks: approaches and applications von Xu, Xinzheng, Zhao, Xiaoyang, Wei, Meng, Li, Zhongnian

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FAPI-Net: A lightweight interpretable network based on feature augmentation and prototype interpretation von Zhao, Xiaoyang, Xu, Xinzheng, Chen, Hu, Gu, Hansang, Li, Zhongnian

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Phase Rotation to Avoid Imaginary Interference Leakage in Multi-user MIMO-OFDM/OQAM Systems von Li, Zhongnian, Xu, Hongbo, Chen, Da, Qu, Daiming

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A half subcarrier guard band spectrum assignment scheme for multi-user FBMC systems von Huang, Wei, Xu, Hongbo, Li, Zhongnian

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Optimized pointwise convolution operation by Ghost blocks von Xu, Xinzheng, Ding, Yanyan, Lv, Zhenhu, Li, Zhongnian, Sun, Renke

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Resource Allocation for Intelligent Reflecting Surfaces Assisted Federated Learning System with Imperfect CSI von Huang, Wei, Han, Zhiren, Zhao, Li, Xu, Hongbo, Li, Zhongnian, Wang, Ze

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GACDN: generative adversarial feature completion and diagnosis network for COVID-19 von Zhu, Qi, Ye, Haizhou, Sun, Liang, Li, Zhongnian, Wang, Ran, Shi, Feng, Shen, Dinggang, Zhang, Daoqiang

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Towards evaluating the robustness of deep diagnostic models by adversarial attack von Xu, Mengting, Zhang, Tao, Li, Zhongnian, Liu, Mingxia, Zhang, Daoqiang

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InfoAT: Improving Adversarial Training Using the Information Bottleneck Principle von Xu, Mengting, Zhang, Tao, Li, Zhongnian, Zhang, Daoqiang

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Learning from hybrid labels with partial labels via hybrid-grained contrast regularization von Xu, Xinzheng, Zhang, Jian, Li, Zhongnian

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Low-Dose CT Denoising via Sinogram Inner-Structure Transformer von Yang, Liutao, Li, Zhongnian, Ge, Rongjun, Zhao, Junyong, Si, Haipeng, Zhang, Daoqiang

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A half subcarrier guard band spectrum assignment scheme for multi-user FBMC systems von Huang, Wei, Xu, Hongbo, Li, Zhongnian

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Active learning for efficient analysis of high-throughput nanopore data von Guan, Xiaoyu, Li, Zhongnian, Zhou, Yueying, Shao, Wei, Zhang, Daoqiang

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Class-imbalanced complementary-label learning via weighted loss von Wei, Meng, Zhou, Yong, Li, Zhongnian, Xu, Xinzheng

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Research on the Fault Diagnosis System for ICM von Li, Zhong Nian, Zhou, Lei

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Feature-wise scaling and shifting: Improving the generalization capability of neural networks through capturing independent information of features von Sun, Tongfeng, Wang, Xiurui, Li, Zhongnian, Ding, Shifei

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Complementary Labels Learning with Augmented Classes von Li, Zhongnian, Xu, Mengting, Xu, Xinzheng, Zhang, Daoqiang

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Adversarial domain adaptation with CLIP for few-shot image classification von Sun, Tongfeng, Yang, Hongjian, Li, Zhongnian, Xu, Xinzheng, Wang, Xiurui

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