Positional-Spectral-Temporal Attention in 3D Convolutional Neural Networks for EEG Emotion Recognition. - Jiyao Liu; Yanxi Zhao; Hao Wu; Dongmei Jiang (APSIPA ASC, 2021)

Transformers for EEG Emotion Recognition. - Jiyao Liu; Li Zhang 106; Hao Wu; Huan Zhao (CoRR, 2021)

REEG-BTCNet: A Novel Framework for EEG-based Motor Imagery Classification. - Jiyao Liu; Huifu Li (BIBM, 2022)

CR-GAT: Consistency Regularization Enhanced Graph Attention Network for Semi-supervised EEG Emotion Recognition. - Jiyao Liu; Hao Wu; Li Zhang 106 (BIBM, 2022)

A Multi-stream Deep Learning Model for EEG-based Depression Identification. - Hao Wu; Jiyao Liu (BIBM, 2022)

Spatial-temporal Transformers for EEG Emotion Recognition. - Jiyao Liu; Hao Wu; Li Zhang 106; Yanxi Zhao (ICAAI, 2022)

Participant Selection for Hierarchical Federated Learning in Edge Clouds. - Xinliang Wei; Jiyao Liu; Xinghua Shi; Yu Wang 003 (NAS, 2022)

Orientation recognition and correction of Cardiac MRI with deep neural network. - Jiyao Liu (CoRR, 2022)

Context-Aware EEG-Based Perceived Stress Recognition based on Emotion Transition Paradigm. - Jiyao Liu; Lang He; Zhiwei Chen; Ziyi Chen; Yu Hao; Dongmei Jiang (ACIIW, 2023)

Echoes of the Mind: Conformer Augmentation and Contrastive Loss in Audio-EEG Convergence. - Jiyao Liu; Li Zhang; Hao Wu; Huifu Li (BIBM, 2023)

Relate Auditory Speech To Eeg By Shallow-Deep Attention-Based Network. - Fan Cui; Liyong Guo; Lang He; Jiyao Liu; Ercheng Pei; Yujun Wang; Dongmei Jiang (ICASSP, 2023)

Group-based Hierarchical Federated Learning: Convergence, Group Formation, and Sampling. - Jiyao Liu; Xinliang Wei; Xuanzhang Liu; Hongchang Gao; Yu Wang 003 (ICPP, 2023)

Multi-phase Liver-Specific DCE-MRI Translation via A Registration-Guided GAN. - Jiyao Liu; Yuxin Li; Nannan Shi; Yuncheng Zhou; Shangqi Gao; Yuxin Shi; Xiao-Yong Zhang; Xiahai Zhuang (SASHIMI@MICCAI, 2023)

Joint Participant Selection and Learning Optimization for Federated Learning of Multiple Models in Edge Cloud. - Xinliang Wei; Jiyao Liu; Yu Wang 003 (J. Comput. Sci. Technol., 2023)

Subject Disentanglement Neural Network for Speech Envelope Reconstruction from EEG. - Li Zhang; Jiyao Liu; Lei Xie (BIBM, 2024)

Adaptive Data Augmentation with NaturalSpeech3 for Far-field Speaker Verification. - Li Zhang; Jiyao Liu; Lei Xie (BIBM, 2024)

Hybrid Quantum-Classical Computing via Dantzig-Wolfe Decomposition for Integer Linear Programming. - Xinliang Wei; Jiyao Liu; Lei Fan 006; Yuanxiong Guo; Zhu Han 001; Yu Wang 003 (ICCCN, 2024)

Sixteen-micromachined-gyroscopes Array Beyond Accuracy Limit By 1.9 Times Without Bandwidth Reduction. - Jiayu Li 007; Honglong Chang; Junzhe Yun; Jiyao Liu; Wenjie Lv; Yan Wang; Jie Zhang; Bin Han; Qiang Shen (IEEE SENSORS, 2024)

Enhancing Adversarial Attacks: The Similar Target Method. - Shuo Zhang; Ziruo Wang; Zikai Zhou; Jiyao Liu; Huanran Chen (IJCNN, 2024)

Topology Design with Resource Allocation and Entanglement Distribution for Quantum Networks. - Jiyao Liu; Xuanzhang Liu; Xinliang Wei; Yu Wang 003 (SECON, 2024)

Incentive Mechanism Design in Semi-Asynchronous Blockchain-based Federated Learning. - Xuanzhang Liu; Jiyao Liu; Xinliang Wei; Yu Wang 003 (VTC Fall, 2024)

Trustworthy Contrast-enhanced Brain MRI Synthesis. - Jiyao Liu; Yuxin Li; Shangqi Gao; Yuncheng Zhou; Xin Gao; Ningsheng Xu; Xiao-Yong Zhang; Xiahai Zhuang (CoRR, 2024)

Directional Spatial and Spectral Attention Network (DSSA Net) for EEG-based emotion recognition. - Jiyao Liu; Lang He; Haifeng Chen; Dongmei Jiang (Frontiers Neurorobotics, 2024)

Group Formation and Sampling in Group-Based Hierarchical Federated Learning. - Jiyao Liu; Xuanzhang Liu; Xinliang Wei; Hongchang Gao; Yu Wang 003 (IEEE Trans. Cloud Comput., 2024)

Adaptive Data Augmentation with NaturalSpeech3 for Far-field Speaker Verification. - Li Zhang 106; Jiyao Liu; Lei Xie 001 (CoRR, 2025)

Subject Disentanglement Neural Network for Speech Envelope Reconstruction from EEG. - Li Zhang; Jiyao Liu (CoRR, 2025)

Optimal Entanglement Distribution Problem in Satellite-Based Quantum Networks. - Xinliang Wei; Jiyao Liu; Lei Fan 006; Yuanxiong Guo; Zhu Han 001; Yu Wang 003 (IEEE Netw., 2025)

GMAI-VL-R1: Harnessing Reinforcement Learning for Multimodal Medical Reasoning. - Yanzhou Su; Tianbin Li; Jiyao Liu; Chenglong Ma; Junzhi Ning; Cheng Tang; Sibo Ju; Jin Ye 002; Pengcheng Chen; Ming Hu; Shixiang Tang; Lihao Liu; et al. (CoRR, 2025)

Learning, Reasoning, Refinement: A Framework for Kahneman's Dual-System Intelligence in GUI Agents. - Jinjie Wei; Jiyao Liu; Lihao Liu; Ming Hu; Junzhi Ning; Mingcheng Li; Weijie Yin; Junjun He; Xiao Liang; Chao Feng; Dingkang Yang (CoRR, 2025)

THE-Tree: Can Tracing Historical Evolution Enhance Scientific Verification and Reasoning? - Xin Wang; Jiyao Liu; Yulong Xiao; Junzhi Ning; Lihao Liu; Junjun He; Botian Shi; Kaicheng Yu (CoRR, 2025)

MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization. - Huihui Xu; Yuanpeng Nie; Hualiang Wang; Ying Chen; Wei Li; Junzhi Ning; Lihao Liu; Hongqiu Wang; Lei Zhu; Jiyao Liu; Xiaomeng Li; Junjun He (CoRR, 2025)