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Jiyao Liu
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2020 – today
- 2024
- [c12]Xinliang Wei, Jiyao Liu, Lei Fan, Yuanxiong Guo, Zhu Han, Yu Wang:
Hybrid Quantum-Classical Computing via Dantzig-Wolfe Decomposition for Integer Linear Programming. ICCCN 2024: 1-9 - [i5]Jiyao Liu, Yuxin Li, Shangqi Gao, Yuncheng Zhou, Xin Gao, Ningsheng Xu, Xiao-Yong Zhang, Xiahai Zhuang:
Trustworthy Contrast-enhanced Brain MRI Synthesis. CoRR abs/2407.07372 (2024) - 2023
- [j1]Xinliang Wei, Jiyao Liu, Yu Wang:
Joint Participant Selection and Learning Optimization for Federated Learning of Multiple Models in Edge Cloud. J. Comput. Sci. Technol. 38(4): 754-772 (2023) - [c11]Jiyao Liu, Lang He, Zhiwei Chen, Ziyi Chen, Yu Hao, Dongmei Jiang:
Context-Aware EEG-Based Perceived Stress Recognition based on Emotion Transition Paradigm. ACIIW 2023: 1-8 - [c10]Jiyao Liu, Li Zhang, Hao Wu, Huifu Li:
Echoes of the Mind: Conformer Augmentation and Contrastive Loss in Audio-EEG Convergence. BIBM 2023: 2121-2124 - [c9]Fan Cui, Liyong Guo, Lang He, Jiyao Liu, Ercheng Pei, Yujun Wang, Dongmei Jiang:
Relate Auditory Speech To Eeg By Shallow-Deep Attention-Based Network. ICASSP 2023: 1-2 - [c8]Jiyao Liu, Xinliang Wei, Xuanzhang Liu, Hongchang Gao, Yu Wang:
Group-based Hierarchical Federated Learning: Convergence, Group Formation, and Sampling. ICPP 2023: 264-273 - [c7]Jiyao Liu, Yuxin Li, Nannan Shi, Yuncheng Zhou, Shangqi Gao, Yuxin Shi, Xiao-Yong Zhang, Xiahai Zhuang:
Multi-phase Liver-Specific DCE-MRI Translation via A Registration-Guided GAN. SASHIMI@MICCAI 2023: 21-31 - [i4]Fan Cui, Liyong Guo, Lang He, Jiyao Liu, Ercheng Pei, Yujun Wang, Dongmei Jiang:
Relate auditory speech to EEG by shallow-deep attention-based network. CoRR abs/2303.10897 (2023) - 2022
- [c6]Jiyao Liu, Hao Wu, Li Zhang:
CR-GAT: Consistency Regularization Enhanced Graph Attention Network for Semi-supervised EEG Emotion Recognition. BIBM 2022: 2017-2023 - [c5]Jiyao Liu, Huifu Li:
REEG-BTCNet: A Novel Framework for EEG-based Motor Imagery Classification. BIBM 2022: 2024-2028 - [c4]Hao Wu, Jiyao Liu:
A Multi-stream Deep Learning Model for EEG-based Depression Identification. BIBM 2022: 2029-2034 - [c3]Jiyao Liu, Hao Wu, Li Zhang, Yanxi Zhao:
Spatial-temporal Transformers for EEG Emotion Recognition. ICAAI 2022: 116-120 - [c2]Xinliang Wei, Jiyao Liu, Xinghua Shi, Yu Wang:
Participant Selection for Hierarchical Federated Learning in Edge Clouds. NAS 2022: 1-8 - [i3]Jiyao Liu:
Orientation recognition and correction of Cardiac MRI with deep neural network. CoRR abs/2211.11336 (2022) - 2021
- [c1]Jiyao Liu, Yanxi Zhao, Hao Wu, Dongmei Jiang:
Positional-Spectral-Temporal Attention in 3D Convolutional Neural Networks for EEG Emotion Recognition. APSIPA ASC 2021: 305-312 - [i2]Jiyao Liu, Li Zhang, Hao Wu, Huan Zhao:
Transformers for EEG Emotion Recognition. CoRR abs/2110.06553 (2021) - [i1]Jiyao Liu, Yanxi Zhao, Hao Wu, Dongmei Jiang:
Positional-Spectral-Temporal Attention in 3D Convolutional Neural Networks for EEG Emotion Recognition. CoRR abs/2110.09955 (2021)
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last updated on 2024-09-12 02:28 CEST by the dblp team
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