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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
- 2026
[j5]Dingkang Yang, Jinjie Wei, Mingcheng Li
, Jiyao Liu, Lihao Liu, Ming Hu, Junjun He, Yakun Ju, Wei Zhou, Yang Liu, Lihua Zhang:
MedAide: Information fusion and anatomy of medical intents via LLM-based agent collaboration. Inf. Fusion 127: 103743 (2026)- 2025
- [j4]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) - [c22]Jiyao Liu, Xinwen Zhang, Xinliang Wei, Xuanzhang Liu, Yuzhou Chen, Hongchang Gao, Yu Wang:
Joint Swapping and Purification with Failures for Entanglement Distribution in Quantum Networks. IWQoS 2025: 1-10 - [c21]Jiyao Liu, Shangqi Gao, Yuxin Li, Lihao Liu, Xin Gao, Zhaohu Xing, Junzhi Ning, Yanzhou Su, Xiao-Yong Zhang, Junjun He, Ningsheng Xu, Xiahai Zhuang:
Multi-modal MRI Translation via Evidential Regression and Distribution Calibration. MICCAI (8) 2025: 363-373 - [c20]Huihui Xu, Yuanpeng Nie, Hualiang Wang, Ying Chen, Wei Li, Junzhi Ning, Lihao Liu, Hongqiu Wang, Lei Zhu, Jiyao Liu, Xiaomeng Li, Junjun He:
MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization. MICCAI (5) 2025: 391-401 - [c19]Junzhi Ning, Cheng Tang, Kaijing Zhou, Diping Song, Lihao Liu, Ming Hu, Wei Li, Huihui Xu, Yanzhou Su, Tianbin Li, Jiyao Liu, Jin Ye, Sheng Zhang, Yuanfeng Ji, Junjun He:
RetinaLogos: Fine-Grained Synthesis of High-Resolution Retinal Images Through Captions. MICCAI (16) 2025: 470-480 - [i16]Li Zhang, Jiyao Liu, Lei Xie:
Adaptive Data Augmentation with NaturalSpeech3 for Far-field Speaker Verification. CoRR abs/2501.08691 (2025) - [i15]Li Zhang, Jiyao Liu:
Subject Disentanglement Neural Network for Speech Envelope Reconstruction from EEG. CoRR abs/2501.08693 (2025) - [i14]Yanzhou Su, Tianbin Li, Jiyao Liu, Chenglong Ma, Junzhi Ning, Cheng Tang, Sibo Ju, Jin Ye, Pengcheng Chen, Ming Hu, Shixiang Tang, Lihao Liu, Bin Fu, Wenqi Shao, Xiaowei Hu, Xiangwen Liao, Yuanfeng Ji, Junjun He:
GMAI-VL-R1: Harnessing Reinforcement Learning for Multimodal Medical Reasoning. CoRR abs/2504.01886 (2025) - [i13]Jinjie Wei, Jiyao Liu, Lihao Liu, Ming Hu, Junzhi Ning, Mingcheng Li, Weijie Yin, Junjun He, Xiao Liang, Chao Feng, Dingkang Yang:
Learning, Reasoning, Refinement: A Framework for Kahneman's Dual-System Intelligence in GUI Agents. CoRR abs/2506.17913 (2025) - [i12]Xin Wang, Jiyao Liu, Yulong Xiao, Junzhi Ning, Lihao Liu, Junjun He, Botian Shi, Kaicheng Yu:
THE-Tree: Can Tracing Historical Evolution Enhance Scientific Verification and Reasoning? CoRR abs/2506.21763 (2025) - [i11]Huihui Xu, Yuanpeng Nie, Hualiang Wang, Ying Chen, Wei Li, Junzhi Ning, Lihao Liu, Hongqiu Wang, Lei Zhu, Jiyao Liu, Xiaomeng Li, Junjun He:
MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization. CoRR abs/2507.02994 (2025) - [i10]Lei Bai, Zhongrui Cai, Yuhang Cao, Maosong Cao, Weihan Cao, Chiyu Chen, Haojiong Chen, Kai Chen, Pengcheng Chen, Ying Chen, Yongkang Chen, Yu Cheng, Pei Chu, Tao Chu, Erfei Cui, Ganqu Cui, Long Cui, Ziyun Cui, Nianchen Deng, Ning Ding, Nanqing Dong, Peijie Dong, Shihan Dou, Sinan Du, Haodong Duan, Caihua Fan, Ben Gao, Changjiang Gao, Jianfei Gao, Songyang Gao, Yang Gao, Zhangwei Gao, Jiaye Ge, Qiming Ge, Lixin Gu, Yuzhe Gu, Aijia Guo, Qipeng Guo, Xu Guo, Conghui He, Junjun He, Yili Hong, Siyuan Hou, Caiyu Hu, Hanglei Hu, Jucheng Hu, Ming Hu, Zhouqi Hua, Haian Huang, Junhao Huang, Xu Huang, Zixian Huang, Zhe Jiang, Lingkai Kong, Linyang Li, Peiji Li, Pengze Li, Shuaibin Li, Tianbin Li, Wei Li, Yuqiang Li, Dahua Lin, Junyao Lin, Tianyi Lin, Zhishan Lin, Hongwei Liu, Jiangning Liu, Jiyao Liu, Junnan Liu, Kai Liu, Kaiwen Liu, Kuikun Liu, Shichun Liu, Shudong Liu, Wei Liu, Xinyao Liu, Yuhong Liu, Zhan Liu, Yinquan Lu, Haijun Lv, Hongxia Lv, Huijie Lv, Qitan Lv, Ying Lv, Chengqi Lyu, Chenglong Ma, Jianpeng Ma, Ren Ma, Runmin Ma, Runyuan Ma, Xinzhu Ma, Yichuan Ma, Zihan Ma, Sixuan Mi, Junzhi Ning, Wenchang Ning, Xinle Pang, Jiahui Peng, Runyu Peng, Yu Qiao:
Intern-S1: A Scientific Multimodal Foundation Model. CoRR abs/2508.15763 (2025) - [i9]Ming Hu, Chenglong Ma, Wei Li, Wanghan Xu, Jiamin Wu, Jucheng Hu, Tianbin Li, Guohang Zhuang, Jiaqi Liu, Yingzhou Lu, Ying Chen, Chaoyang Zhang, Cheng Tan, Jie Ying, Guocheng Wu, Shujian Gao, Pengcheng Chen, Jiashi Lin, Haitao Wu, Lulu Chen, Fengxiang Wang, Yuanyuan Zhang, Xiangyu Zhao, Feilong Tang, Encheng Su, Junzhi Ning, Xinyao Liu, Ye Du, Changkai Ji, Cheng Tang, Huihui Xu, Ziyang Chen, Ziyan Huang, Jiyao Liu, Pengfei Jiang, Yizhou Wang, Chen Tang, Jianyu Wu, Yuchen Ren, Siyuan Yan, Zhonghua Wang, Zhongxing Xu, Shiyan Su, Shangquan Sun, Runkai Zhao, Zhisheng Zhang, Yu Liu, Fudi Wang, Yuanfeng Ji, Yanzhou Su, Hongming Shan, Chun-Mei Feng, Jiahao Xu, Jiangtao Yan, Wenhao Tang, Diping Song, Lihao Liu, Yanyan Huang, Lequan Yu, Bin Fu, Shujun Wang, Xiaomeng Li, Xiaowei Hu, Yun Gu, Ben Fei, Zhongying Deng, Benyou Wang, Yuewen Cao, Minjie Shen, Haodong Duan, Jie Xu, Yirong Chen, Fang Yan, Hongxia Hao, Jielan Li, Jiajun Du, Yanbo Wang, Imran Razzak, Chi Zhang, Lijun Wu, Conghui He, Zhaohui Lu, Jinhai Huang, Yihao Liu, Fenghua Ling, Yuqiang Li, Aoran Wang, Qihao Zheng, Nanqing Dong, Tianfan Fu, Dongzhan Zhou, Yan Lu, Wenlong Zhang, Jin Ye, Jianfei Cai, Wanli Ouyang, Yu Qiao, Zongyuan Ge, Shixiang Tang, Junjun He:
A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers. CoRR abs/2508.21148 (2025) - [i8]Jiyao Liu, Jinjie Wei, Wanying Qu, Chenglong Ma, Junzhi Ning, Yunheng Li, Ying Chen, Xinzhe Luo, Pengcheng Chen, Xin Gao, Ming Hu, Huihui Xu, Xin Wang, Shujian Gao, Dingkang Yang, Zhongying Deng, Jin Ye, Lihao Liu, Junjun He, Ningsheng Xu:
MedQ-Bench: Evaluating and Exploring Medical Image Quality Assessment Abilities in MLLMs. CoRR abs/2510.01691 (2025) - [i7]Junzhi Ning, Wei Li, Cheng Tang, Jiashi Lin, Chenglong Ma, Chaoyang Zhang, Jiyao Liu, Ying Chen, Shujian Gao, Lihao Liu, Yuandong Pu, Huihui Xu, Chenhui Gou, Ziyan Huang, Yi Xin, Qi Qin, Zhongying Deng, Diping Song, Bin Fu, Guang Yang, Yuanfeng Ji, Tianbin Li, Yanzhou Su, Jin Ye, Shixiang Tang, Ming Hu, Junjun He:
UniMedVL: Unifying Medical Multimodal Understanding And Generation Through Observation-Knowledge-Analysis. CoRR abs/2510.15710 (2025) - [i6]Xin Gao, Jiyao Liu, Guanghao Li, Yueming Lyu, Jianxiong Gao, Weichen Yu, Ningsheng Xu, Liang Wang, Caifeng Shan, Ziwei Liu, Chenyang Si:
GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection. CoRR abs/2510.17131 (2025) - 2024
- [j3]Jiyao Liu, Lang He, Haifeng Chen, Dongmei Jiang:
Directional Spatial and Spectral Attention Network (DSSA Net) for EEG-based emotion recognition. Frontiers Neurorobotics 18 (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) - [c18]Li Zhang, Jiyao Liu, Lei Xie:
Subject Disentanglement Neural Network for Speech Envelope Reconstruction from EEG. BIBM 2024: 4002-4005 - [c17]Li Zhang, Jiyao Liu, Lei Xie:
Adaptive Data Augmentation with NaturalSpeech3 for Far-field Speaker Verification. BIBM 2024: 5662-5669 - [c16]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 - [c15]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 - [c14]Shuo Zhang, Ziruo Wang, Zikai Zhou, Jiyao Liu, Huanran Chen:
Enhancing Adversarial Attacks: The Similar Target Method. IJCNN 2024: 1-9 - [c13]Jiyao Liu, Xuanzhang Liu, Xinliang Wei, Yu Wang:
Topology Design with Resource Allocation and Entanglement Distribution for Quantum Networks. SECON 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)
Coauthor Index
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