中国科学院计算技术研究所机构知识库

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	NeRF-based Polarimetric Multi-view Stereo 期刊论文 PATTERN RECOGNITION, 2025, 卷号: 158, 页码: 14 作者:  Cao, Jiakai;  Yuan, Zhenlong;  Mao, Tianlu;  Wang, Zhaoqi;  Li, Zhaoxin 收藏  |  浏览/下载：3/0  |  提交时间：2024/12/06 Multi-view stereo  Neural radiance fields  Shape-from-polarization  3D reconstruction
	SPMGAE: Self-purified masked graph autoencoders release robust expression power 期刊论文 NEUROCOMPUTING, 2025, 卷号: 611, 页码: 14 作者:  Song, Shuhan;  Li, Ping;  Dun, Ming;  Zhang, Yuan;  Cao, Huawei;  Ye, Xiaochun 收藏  |  浏览/下载：3/0  |  提交时间：2024/12/06 Graph neural networks  Masked graph autoencoders  Robustness  Graph adversarial attacks
	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
	DeepFusion: A deep bimodal information fusion network for unraveling protein-RNA interactions using in vivo RNA structures 期刊论文 COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2024, 卷号: 23, 页码: 617-625 作者:  Qiao, Yixuan;  Yang, Rui;  Liu, Yang;  Chen, Jiaxin;  Zhao, Lianhe;  Huo, Peipei;  Wang, Zhihao;  Bu, Dechao;  Wu, Yang;  Zhao, Yi 收藏  |  浏览/下载：16/0  |  提交时间：2024/05/20 Information fusion  Deep learning  RNA -binding proteins  In vivo RNA structures  Motifs
	Predicting transcriptional responses to novel chemical perturbations using deep generative model for drug discovery 期刊论文 NATURE COMMUNICATIONS, 2024, 卷号: 15, 期号: 1, 页码: 19 作者:  Qi, Xiaoning;  Zhao, Lianhe;  Tian, Chenyu;  Li, Yueyue;  Chen, Zhen-Lin;  Huo, Peipei;  Chen, Runsheng;  Liu, Xiaodong;  Wan, Baoping;  Yang, Shengyong;  Zhao, Yi 收藏  |  浏览/下载：2/0  |  提交时间：2024/12/06
	DeepFaceReshaping: Interactive deep face reshaping via landmark manipulation 期刊论文 COMPUTATIONAL VISUAL MEDIA, 2024, 页码: 15 作者:  Chen, Shu-Yu;  Jiang, Yue-Ren;  Fu, Hongbo;  Han, Xinyang;  Liu, Zitao;  Li, Rong;  Gao, Lin 收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06 face reshaping  deep generative model  interactive editing
	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：1/0  |  提交时间：2024/12/06 Mild cognitive impairment  Auxiliary diagnosis  fNIRS  Scales  Multimodal fusion  Scales screening
	IDEA: Invariant defense for graph adversarial robustness 期刊论文 INFORMATION SCIENCES, 2024, 卷号: 680, 页码: 18 作者:  Tao, Shuchang;  Cao, Qi;  Shen, Huawei;  Wu, Yunfan;  Xu, Bingbing;  Cheng, Xueqi 收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06 Invariant defense  Adversarial robustness  Causal feature  Graph neural networks
	Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey 期刊论文 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2024, 卷号: 36, 期号: 10, 页码: 5388-5408 作者:  Jin, Guangyin;  Liang, Yuxuan;  Fang, Yuchen;  Shao, Zezhi;  Huang, Jincai;  Zhang, Junbo;  Zheng, Yu 收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06 Surveys  Task analysis  Time series analysis  Transportation  Topology  Graph neural networks  Deep learning  predictive learning  spatio-temporal data mining  time series  urban computing