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Congming Tan

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2026
[j7]
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Congming Tan, Jiayang Xu, Liangliang Hu, Yin Tian:
FusSADGCNN: Decoding the Impact of Transcranial Electrical Stimulation on Neuromodulation in Emotion Recognition and Emotion Elicitation. IEEE J. Biomed. Health Informatics 30(2): 1087-1100 (2026)
2025
[j6]
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Liangliang Hu, Congming Tan, Yin Tian:
Adaptive dual-graph learning joint feature selection for EEG emotion recognition. J. King Saud Univ. Comput. Inf. Sci. 37(3) (2025)
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Liangliang Hu, Daowen Xiong, Congming Tan, Zhentao Huang, Yikang Ding, Jiahao Jin, Yin Tian:
Joint multi-layer network and coupling redundancy minimization for semi-supervised EEG-based emotion recognition. Knowl. Based Syst. 318: 113559 (2025)
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Daowen Xiong, Liangliang Hu, Jiahao Jin, Yikang Ding, Congming Tan, Jing Zhang, Yin Tian:
Interpretable Cross-Modal Alignment Network for EEG Visual Decoding With Algorithm Unrolling. IEEE Trans. Neural Networks Learn. Syst. 36(11): 19894-19908 (2025)
[c2]
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Congming Tan, Ting Pan, Yin Tian:
GPNet: Granularity-Aware Pyramid Network with Graph Aggregation for Sleep Staging and Face-Emotional Recognition Speed Prediction. CogSci 2025
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Zhentao Huang, Congming Tan, Xiaozhuo Bai, Jing Zhang, Guowei Huang, Yin Tian:
AdaptiveSleepNet: State-Space Sequence Enhanced Multi-modal Network for Sleep Staging. IJCNN 2025: 1-7
2024
[j3]
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Liangliang Hu, Congming Tan, Jiayang Xu, Rui Qiao, Yilin Hu, Yin Tian:
Decoding emotion with phase-amplitude fusion features of EEG functional connectivity network. Neural Networks 172: 106148 (2024)
2022
[j2]
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Congming Tan, Shuli Cheng, Liejun Wang:
Efficient Image Super-Resolution via Self-Calibrated Feature Fuse. Sensors 22(1): 329 (2022)
[j1]
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Congming Tan, Liejun Wang, Shuli Cheng:
Image Super-Resolution via Dual-Level Recurrent Residual Networks. Sensors 22(8): 3058 (2022)

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