中国科学院计算技术研究所机构知识库

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	Learning Critically: Selective Self-Distillation in Federated Learning on Non-IID Data 期刊论文 IEEE TRANSACTIONS ON BIG DATA, 2024, 卷号: 10, 期号: 6, 页码: 789-800 作者:  He, Yuting;  Chen, Yiqiang;  Yang, XiaoDong;  Yu, Hanchao;  Huang, Yi-Hua;  Gu, Yang 收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06 Data models  Training  Servers  Collaborative work  Adaptation models  Convergence  Feature extraction  Federated learning  knowledge distillation  non-identically distributed  deep learning  catastrophic forgetting
	Personalized Federated Learning With Adaptive Batchnorm for Healthcare 期刊论文 IEEE TRANSACTIONS ON BIG DATA, 2024, 卷号: 10, 期号: 6, 页码: 915-925 作者:  Lu, Wang;  Wang, Jindong;  Chen, Yiqiang;  Qin, Xin;  Xu, Renjun;  Dimitriadis, Dimitrios;  Qin, Tao 收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06 Medical services  Collaborative work  Data models  Adaptation models  Computational modeling  Machine learning  Data privacy  Distributed computing  federated learning  personalization  batch normalization  healthcare
	Reliable and Energy-Efficient Communications in Mobile Robotic Networks by Collaborative Beamforming 期刊论文 ACM TRANSACTIONS ON SENSOR NETWORKS, 2024, 卷号: 20, 期号: 5, 页码: 24 作者:  He, Min;  Chen, Yali;  Liu, Min;  Fan, Xiaokun;  Zhu, Yuchen 收藏  |  浏览/下载：2/0  |  提交时间：2024/12/06 Collaborative beamforming  distributed reinforcement learning  energy efficiency  mobile robotic networks  reliable communications
	Mitigating Confounding Bias in Practical Recommender Systems With Partially Inaccessible Exposure Status 期刊论文 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2024, 卷号: 46, 期号: 2, 页码: 957-974 作者:  Cao, Tianwei;  Xu, Qianqian;  Yang, Zhiyong;  Huang, Qingming 收藏  |  浏览/下载：10/0  |  提交时间：2024/05/20 Recommender system  collaborative filtering  confounding bias  debias  counterfactual learning
	Dynamic graph neural network-based fraud detectors against collaborative fraudsters 期刊论文 KNOWLEDGE-BASED SYSTEMS, 2023, 卷号: 278, 页码: 12 作者:  Ren, Lingfei;  Hu, Ruimin;  Li, Dengshi;  Liu, Yang;  Wu, Junhang;  Zang, Yilong;  Hu, Wenyi 收藏  |  浏览/下载：17/0  |  提交时间：2023/12/04 Telecom fraud detection  Collaborative fraud  Semi -supervised learning  Dynamic graph neural network
	Mining collaborative spatio-temporal clues for face forgery detection 期刊论文 MULTIMEDIA TOOLS AND APPLICATIONS, 2023, 页码: 20 作者:  Ding, Bo;  Fan, Zhenfeng;  Zhao, Zejun;  Xia, Shihong 收藏  |  浏览/下载：14/0  |  提交时间：2023/12/04 Face forgery detection  Spatial-temporal clue  Low-level feature  Collaborative learning  Multimodel attention
	Rethinking Collaborative Metric Learning: Toward an Efficient Alternative Without Negative Sampling 期刊论文 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 1, 页码: 1017-1035 作者:  Bao, Shilong;  Xu, Qianqian;  Yang, Zhiyong;  Cao, Xiaochun;  Huang, Qingming 收藏  |  浏览/下载：21/0  |  提交时间：2023/07/12 Recommendation system  collaborative metric learning  negative sampling  machine learning
	Task-Feature Collaborative Learning with Application to Personalized Attribute Prediction 期刊论文 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 11, 页码: 4094-4110 作者:  Yang, Zhiyong;  Xu, Qianqian;  Cao, Xiaochun;  Huang, Qingming 收藏  |  浏览/下载：58/0  |  提交时间：2021/12/01 Task analysis  Convergence  Predictive models  Diseases  Collaborative work  Optimization  Training  Block diagonal structural learning  negative transfer  multi-task learning  global convergence
	Trust-embedded collaborative deep generative model for social recommendation 期刊论文 JOURNAL OF SUPERCOMPUTING, 2020, 页码: 29 作者:  Deng, Xiaoyi;  Wu, Yenchun Jim;  Zhuang, Fuzhen 收藏  |  浏览/下载：60/0  |  提交时间：2020/12/10 Recommender system  Deep generative model  Collaborative topic regression  Trust matrix factorization  Deep learning
	Transfer collaborative filtering from multiple sources via consensus regularization 期刊论文 NEURAL NETWORKS, 2018, 卷号: 108, 页码: 287-295 作者:  Zhuang, Fuzhen;  Zheng, Jing;  Chen, Jingwu;  Zhang, Xiangliang;  Shi, Chuan;  He, Qing 收藏  |  浏览/下载：89/0  |  提交时间：2019/08/16 Collaborative filtering  Transfer learning  Multiple sources  Consensus regularization