Jiyao Liu

According to our database, Jiyao Liu authored at least 55 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

CuSearch: Curriculum Rollout Sampling via Search Depth for Agentic RAG.

Jianghan Shen, Siqi Luo, Xinyu Cheng, Jing Xiong, Yue Li, Jiyao Liu, Jiashi Lin, Yirong Chen, Junjun He

CoRR, May, 2026

MedProbeBench: Systematic Benchmarking at Deep Evidence Integration for Expert-level Medical Guideline.

Jiyao Liu, Jianghan Shen, Sida Song, Tianbin Li, Xiaojia Liu, Rongbin Li, Ziyan Huang, Jiashi Lin, Junzhi Ning, Changkai Ji, Siqi Luo, Wenjie Li, Chenglong Ma, Ming Hu, Jing Xiong, Jin Ye, Bin Fu, Ningsheng Xu, Yirong Chen, Lei Ji, Hong Chen, Junjun He

CoRR, April, 2026

MMRareBench: A Rare-Disease Multimodal and Multi-Image Medical Benchmark.

Junzhi Ning, Jiashi Lin, Yingying Fang, Wei Li, Jiyao Liu, Cheng Tang, Chenglong Ma, Wenhao Tang, Tianbin Li, Ziyan Huang, Guang Yang, Junjun He

CoRR, April, 2026

Hidden in Plain Sight: Visual-to-Symbolic Analytical Solution Inference from Field Visualizations.

Pengze Li, Jiaquan Zhang, Yunbo Long, Xinping Liu, Zhou Wenjie, Encheng Su, Zihang Zeng, Jiaqi Liu, Jiyao Liu, Junchi Yu, Lihao Liu, Philip Torr, Shixiang Tang, Aoran Wang, Xi Chen

CoRR, April, 2026

Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development.

Zhongying Deng, Cheng Tang, Ziyan Huang, Jiashi Lin, Ying Chen, Junzhi Ning, Chenglong Ma, Jiyao Liu, Wei Li, Yinghao Zhu, Shujian Gao, Yanyan Huang, Sibo Ju, Yanzhou Su, Pengcheng Chen, Wenhao Tang, Tianbin Li, Haoyu Wang, Yuanfeng Ji, Hui Sun, Shaobo Min, Liang Peng, Feilong Tang, Haochen Xue, Rulin Zhou, Chaoyang Zhang, Wenjie Li, Shaohao Rui, Weijie Ma, Xingyue Zhao, Yibin Wang, Kun Yuan, Zhaohui Lu, Shujun Wang, Jinjie Wei, Lihao Liu, Dingkang Yang, Lin Wang, Yulong Li, Haolin Yang, Yiqing Shen, Lequan Yu, Xiaowei Hu, Yun Gu, Yicheng Wu, Benyou Wang, Minghui Zhang, Angelica I. Avilés-Rivero, Qi Gao, Hongming Shan, Xiaoyu Ren, Fang Yan, Hongyu Zhou, Haodong Duan, Maosong Cao, Shanshan Wang, Bin Fu, Xiaomeng Li, Zhi Hou, Chunfeng Song, Lei Bai, Yuan Cheng, Yuandong Pu, Xiang Li, Wenhai Wang, Hao Chen, Jiaxin Zhuang, Songyang Zhang, Huiguang He, Mengzhang Li, Bohan Zhuang, Zhian Bai, Rongshan Yu, Liansheng Wang, Yukun Zhou, Xiaosong Wang, Xin Guo, Guanbin Li, Xiangru Lin, Dakai Jin, Mianxin Liu, Wenlong Zhang, Qi Qin, Conghui He, Yuqiang Li, Ye Luo, Nanqing Dong, Jie Xu, Wenqi Shao, Bo Zhang, Qiujuan Yan, Yihao Liu, Jun Ma, Zhi Lu, Yuewen Cao, Zongwei Zhou, Jianming Liang, Shixiang Tang, Qi Duan, et al.

CoRR, March, 2026

MedQ-Engine: A Closed-Loop Data Engine for Evolving MLLMs in Medical Image Quality Assessment.

Jiyao Liu, Junzhi Ning, Wanying Qu, Lihao Liu, Chenglong Ma, Junjun He, Ningsheng Xu

CoRR, March, 2026

MedQ-UNI: Toward Unified Medical Image Quality Assessment and Restoration via Vision-Language Modeling.

Jiyao Liu, Junzhi Ning, Wanying Qu, Lihao Liu, Chenglong Ma, Junjun He, Ningsheng Xu

CoRR, March, 2026

Open World MRI Reconstruction with Bias-Calibrated Adaptation.

Jiyao Liu, Shangqi Gao, Lihao Liu, Junzhi Ning, Jinjie Wei, Junjun He, Xiahai Zhuang, Ningsheng Xu

CoRR, March, 2026

MedQ-Deg: A Multidimensional Benchmark for Evaluating MLLMs Across Medical Image Quality Degradations.

Jiyao Liu, Junzhi Ning, Chenglong Ma, Wanying Qu, Jianghan Shen, Siqi Luo, Jinjie Wei, Jin Ye, Pengze Li, Tianbin Li, Jiashi Lin, Hongming Shan, Xinzhe Luo, Xiaohong Liu, Lihao Liu, Junjun He, Ningsheng Xu

CoRR, March, 2026

Quantum-Assisted Resource Management for Data Access in Space-Air-Ground Integrated Networks.

Xinliang Wei, Jiyao Liu, Lei Fan, Yuanxiong Guo, Yanmin Gong, Zhu Han, Yu Wang

IEEE Trans. Wirel. Commun., 2026

Swapping and Purification Scheme Optimization for Entanglement Distribution in Quantum Networks.

Jiyao Liu, Xinwen Zhang, Xinliang Wei, Xuanzhang Liu, Yuzhou Chen, Hongchang Gao, Yu Wang

IEEE Trans. Netw., 2026

MedAide: Information fusion and anatomy of medical intents via LLM-based agent collaboration.

Dingkang Yang, Jinjie Wei, Mingcheng Li, Jiyao Liu, Lihao Liu, Ming Hu, Junjun He, Yakun Ju, Wei Zhou, Yang Liu, Lihua Zhang

Inf. Fusion, 2026

Incentive mechanism design in blockchain-based hierarchical federated learning over edge clouds.

Xuanzhang Liu, Jiyao Liu, Xinliang Wei, Yu Wang

Comput. Networks, 2026

2025

Liver Fibrosis Quantification and Analysis: The LiQA Dataset and Baseline Method.

Yuanye Liu, Hanxiao Zhang, Jiyao Liu, Nannan Shi, Yuxin Shi, Arif Mahmood, Murtaza Taj, Xiahai Zhuang

CoRR, December, 2025

SafeRBench: A Comprehensive Benchmark for Safety Assessment in Large Reasoning Models.

Xin Gao, Shaohan Yu, Zerui Chen, Yueming Lyu, Weichen Yu, Guanghao Li, Jiyao Liu, Jianxiong Gao, Jian Liang, Ziwei Liu, Chenyang Si

CoRR, November, 2025

GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection.

Xin Gao, Jiyao Liu, Guanghao Li, Yueming Lyu, Jianxiong Gao, Weichen Yu, Ningsheng Xu, Liang Wang, Caifeng Shan, Ziwei Liu, Chenyang Si

CoRR, October, 2025

UniMedVL: Unifying Medical Multimodal Understanding And Generation Through Observation-Knowledge-Analysis.

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

CoRR, October, 2025

MedQ-Bench: Evaluating and Exploring Medical Image Quality Assessment Abilities in MLLMs.

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

CoRR, October, 2025

A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers.

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

CoRR, August, 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, June, 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, June, 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, Pengcheng Chen, Ming Hu, Shixiang Tang, Lihao Liu, Bin Fu, Wenqi Shao, Xiaowei Hu, Xiangwen Liao, Yuanfeng Ji, Junjun He

CoRR, April, 2025

Optimal Entanglement Distribution Problem in Satellite-Based Quantum Networks.

Xinliang Wei, Jiyao Liu, Lei Fan, Yuanxiong Guo, Zhu Han, Yu Wang

IEEE Netw., January, 2025

Subject Disentanglement Neural Network for Speech Envelope Reconstruction from EEG.

Li Zhang, Jiyao Liu

CoRR, January, 2025

Adaptive Data Augmentation with NaturalSpeech3 for Far-field Speaker Verification.

Li Zhang, Jiyao Liu, Lei Xie

CoRR, January, 2025

Statistical Modeling and Latency Optimization for Entanglement Routing in Quantum Networks.

Jiyao Liu, Yu Wang

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

RetinaLogos: Fine-Grained Synthesis of High-Resolution Retinal Images Through Captions.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Multi-modal MRI Translation via Evidential Regression and Distribution Calibration.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Joint Swapping and Purification with Failures for Entanglement Distribution in Quantum Networks.

Jiyao Liu, Xinwen Zhang, Xinliang Wei, Xuanzhang Liu, Yuzhou Chen, Hongchang Gao, Yu Wang

Proceedings of the 33rd IEEE/ACM International Symposium on Quality of Service, 2025

Incentive Mechanism for Blockchain-Enabled Coded Federated Learning in Edge Clouds.

Xuanzhang Liu, Jiyao Liu, Xinliang Wei, Yu Wang

Proceedings of the 31th IEEE International Conference on Parallel and Distributed Systems, 2025

2024

Group Formation and Sampling in Group-Based Hierarchical Federated Learning.

Jiyao Liu, Xuanzhang Liu, Xinliang Wei, Hongchang Gao, Yu Wang

IEEE Trans. Cloud Comput., 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

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

Incentive Mechanism Design in Semi-Asynchronous Blockchain-based Federated Learning.

Xuanzhang Liu, Jiyao Liu, Xinliang Wei, Yu Wang

Proceedings of the 100th IEEE Vehicular Technology Conference, 2024

Topology Design with Resource Allocation and Entanglement Distribution for Quantum Networks.

Jiyao Liu, Xuanzhang Liu, Xinliang Wei, Yu Wang

Proceedings of the 21st Annual IEEE International Conference on Sensing, 2024

Enhancing Adversarial Attacks: The Similar Target Method.

Shuo Zhang, Ziruo Wang, Zikai Zhou, Jiyao Liu, Huanran Chen

Proceedings of the International Joint Conference on Neural Networks, 2024

Sixteen-micromachined-gyroscopes Array Beyond Accuracy Limit By 1.9 Times Without Bandwidth Reduction.

Jiayu Li, Honglong Chang, Junzhe Yun, Jiyao Liu, Wenjie Lv, Yan Wang, Jie Zhang, Bin Han, Qiang Shen

Proceedings of the 2024 IEEE SENSORS, Kobe, Japan, October 20-23, 2024, 2024

Hybrid Quantum-Classical Computing via Dantzig-Wolfe Decomposition for Integer Linear Programming.

Xinliang Wei, Jiyao Liu, Lei Fan, Yuanxiong Guo, Zhu Han, Yu Wang

Proceedings of the 33rd International Conference on Computer Communications and Networks, 2024

Adaptive Data Augmentation with NaturalSpeech3 for Far-field Speaker Verification.

Li Zhang, Jiyao Liu, Lei Xie

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Subject Disentanglement Neural Network for Speech Envelope Reconstruction from EEG.

Li Zhang, Jiyao Liu, Lei Xie

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Joint Participant Selection and Learning Optimization for Federated Learning of Multiple Models in Edge Cloud.

Xinliang Wei, Jiyao Liu, Yu Wang

J. Comput. Sci. Technol., July, 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

Proceedings of the Simulation and Synthesis in Medical Imaging, 2023

Group-based Hierarchical Federated Learning: Convergence, Group Formation, and Sampling.

Jiyao Liu, Xinliang Wei, Xuanzhang Liu, Hongchang Gao, Yu Wang

Proceedings of the 52nd International Conference on Parallel Processing, 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

Proceedings of the IEEE International Conference on Acoustics, 2023

Echoes of the Mind: Conformer Augmentation and Contrastive Loss in Audio-EEG Convergence.

Jiyao Liu, Li Zhang, Hao Wu, Huifu Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Context-Aware EEG-Based Perceived Stress Recognition based on Emotion Transition Paradigm.

Jiyao Liu, Lang He, Zhiwei Chen, Ziyi Chen, Yu Hao, Dongmei Jiang

Proceedings of the 11th International Conference on Affective Computing and Intelligent Interaction, ACII 2023, 2023

2022

Orientation recognition and correction of Cardiac MRI with deep neural network.

Jiyao Liu

CoRR, 2022

Participant Selection for Hierarchical Federated Learning in Edge Clouds.

Xinliang Wei, Jiyao Liu, Xinghua Shi, Yu Wang

Proceedings of the IEEE International Conference on Networking, Architecture and Storage, 2022

Spatial-temporal Transformers for EEG Emotion Recognition.

Jiyao Liu, Hao Wu, Li Zhang, Yanxi Zhao

Proceedings of the 2022 The 6th International Conference on Advances in Artificial Intelligence, 2022

A Multi-stream Deep Learning Model for EEG-based Depression Identification.

Hao Wu, Jiyao Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

CR-GAT: Consistency Regularization Enhanced Graph Attention Network for Semi-supervised EEG Emotion Recognition.

Jiyao Liu, Hao Wu, Li Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

REEG-BTCNet: A Novel Framework for EEG-based Motor Imagery Classification.

Jiyao Liu, Huifu Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Transformers for EEG Emotion Recognition.

Jiyao Liu, Li Zhang, Hao Wu, Huan Zhao

CoRR, 2021

Positional-Spectral-Temporal Attention in 3D Convolutional Neural Networks for EEG Emotion Recognition.

Jiyao Liu, Yanxi Zhao, Hao Wu, Dongmei Jiang

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021