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GSM: Global Semantic Memory 期刊论文
PATTERN RECOGNITION, 2026, 卷号: 169, 页码: 16
作者:  Li, Jiahao;  Chen, Yiqiang;  Xing, Yunbing;  Gu, Yang;  Lan, Xiangyuan
收藏  |  浏览/下载：4/0  |  提交时间：2025/12/03
Anomaly detection  Unsupervised learning  Memory  
Self-supervised Learning for Electroencephalogram: A Systematic Survey 期刊论文
ACM COMPUTING SURVEYS, 2025, 卷号: 57, 期号: 12, 页码: 38
作者:  Weng, Weining;  Gu, Yang;  Guo, Shuai;  Ma, Yuan;  Yang, Zhaohua;  Liu, Yuchen;  Chen, Yiqiang
收藏  |  浏览/下载：4/0  |  提交时间：2025/12/03
Self-supervised learning  electroencephalogram  contrastive learning  representation learning  
Early detection of Parkinson's disease: Machine learning-based prediction of UPDRS Part III scores in de novo patients using smartphone assessments 期刊论文
JOURNAL OF PARKINSONS DISEASE, 2025, 页码: 12
作者:  Guo, Wei-Hang;  Yang, Xiao-Dong;  Ruan, Zheng;  Wang, Xu;  Zhang, Dan-Zuo;  Song, Shu-Chao;  Chen, Yi-Qiang;  Chan, Piu
收藏  |  浏览/下载：4/0  |  提交时间：2025/12/03
Parkinson's disease  UPDRS part III  machine learning  smartphone assessment  untreated de novo patients  motor symptoms  
PrivFusion: Privacy-Preserving Model Fusion via Decentralized Federated Graph Matching 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2024, 卷号: 36, 期号: 12, 页码: 9051-9064
作者:  Chen, Qian;  Chen, Yiqiang;  Jiang, Xinlong;  Zhang, Teng;  Dai, Weiwei;  Huang, Wuliang;  Yan, Bingjie;  Yan, Zhen;  Lu, Wang;  Ye, Bo
收藏  |  浏览/下载：47/0  |  提交时间：2025/06/25
Adaptation models  Data models  Privacy  Load modeling  Biological neural networks  Collaboration  Predictive models  Graph matching  model fusion  model privacy  
An fNIRS representation and fNIRS-scales multimodal fusion method for auxiliary diagnosis of amnestic mild cognitive impairment 期刊论文
BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2024, 卷号: 96, 页码: 12
作者:  Cheng, Shiyu;  Shang, Pan;  Zhang, Yingwei;  Guan, Jianhe;  Chen, Yiqiang;  Lv, Zeping;  Huang, Shuyun;  Liu, Yajing;  Xie, Haiqun
收藏  |  浏览/下载：42/0  |  提交时间：2024/12/06
Mild cognitive impairment  Auxiliary diagnosis  fNIRS  Scales  Multimodal fusion  Scales screening  
FedBone: Towards Large-Scale Federated Multi-Task Learning 期刊论文
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2024, 卷号: 39, 期号: 5, 页码: 1040-1057
作者:  Chen, Yi-Qiang;  Zhang, Teng;  Jiang, Xin-Long;  Chen, Qian;  Gao, Chen-Long;  Huang, Wu-Liang
收藏  |  浏览/下载：38/0  |  提交时间：2025/06/25
federated learning  multi-task learning  split learning  heterogeneous task  
An adaptive joint optimization framework for pruning and quantization 期刊论文
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2024, 页码: 17
作者:  Li, Xiaohai;  Yang, Xiaodong;  Zhang, Yingwei;  Yang, Jianrong;  Chen, Yiqiang
收藏  |  浏览/下载：39/0  |  提交时间：2024/12/06
Model compression  Network pruning  Quantization  Mutual learning  Multi-teacher knowledge distillation  
GJFusion: A Channel-Level Correlation Construction Method for Multimodal Physiological Signal Fusion 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2024, 卷号: 20, 期号: 2, 页码: 23
作者:  Huang, Wuliang;  Chen, Yiqiang;  Jiang, Xinlong;  Zhang, Teng;  Chen, Qian
收藏  |  浏览/下载：46/0  |  提交时间：2024/05/20
Multimodal  physiological signal  graph neural network  emotion state recognition  ubiquitous computing  
Exploring Structure Incentive Domain Adversarial Learning for Generalizable Sleep Stage Classification 期刊论文
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2024, 卷号: 15, 期号: 1, 页码: 30
作者:  Ma, Shuo;  Zhang, Yingwei;  Chen, Yiqiang;  Xie, Tao;  Song, Shuchao;  Jia, Ziyu
收藏  |  浏览/下载：64/0  |  提交时间：2024/12/06
physiological signal  time-series signal  sleep stage classification  domain generalization  subject independent  
Federated Data Quality Assessment Approach: Robust Learning With Mixed Label Noise 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:  Zeng, Bixiao;  Yang, Xiaodong;  Chen, Yiqiang;  Yu, Hanchao;  Hu, Chunyu;  Zhang, Yingwei
收藏  |  浏览/下载：53/0  |  提交时间：2023/12/04
Noise measurement  Servers  Task analysis  Adaptation models  Data models  Data integrity  Computers  Data quality assessment  federated learning (FL)  noise-robust algorithm