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ORCIDJiyao Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j3]Xinliang Wei
, Jiyao Liu, Lei Fan, Yuanxiong Guo, Zhu Han, Yu Wang:
Optimal Entanglement Distribution Problem in Satellite-Based Quantum Networks. IEEE Netw. 39(1): 97-103 (2025)- 2024
- [j2]Jiyao Liu, Xuanzhang Liu, Xinliang Wei, Hongchang Gao, Yu Wang:
Group Formation and Sampling in Group-Based Hierarchical Federated Learning. IEEE Trans. Cloud Comput. 12(4): 1433-1448 (2024) - [c17]Li Zhang, Jiyao Liu, Lei Xie:
Subject Disentanglement Neural Network for Speech Envelope Reconstruction from EEG. BIBM 2024: 4002-4005 - [c16]Li Zhang, Jiyao Liu, Lei Xie:
Adaptive Data Augmentation with NaturalSpeech3 for Far-field Speaker Verification. BIBM 2024: 5662-5669 - [c15]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 - [c14]Jiayu Li, Honglong Chang, Junzhe Yun, Jiyao Liu, Wenjie Lv, Yan Wang, Jie Zhang, Bin Han, Qiang Shen:
Sixteen-micromachined-gyroscopes Array Beyond Accuracy Limit By 1.9 Times Without Bandwidth Reduction. IEEE SENSORS 2024: 1-4 - [c13]Shuo Zhang, Ziruo Wang, Zikai Zhou, Jiyao Liu, Huanran Chen:
Enhancing Adversarial Attacks: The Similar Target Method. IJCNN 2024: 1-9 - [c12]Xuanzhang Liu, Jiyao Liu, Xinliang Wei, Yu Wang:
Incentive Mechanism Design in Semi-Asynchronous Blockchain-based Federated Learning. VTC Fall 2024: 1-5 - [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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