中国科学院计算技术研究所机构知识库

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	DCHF_T: A multi-dimensional adaptive compression approach for transformer-based models 期刊论文 NEUROCOMPUTING, 2025, 卷号: 656, 页码: 12 作者:  Yan, Yaoyao;  Wang, Da;  Ye, Jing;  Yu, Hui;  Lu, Dianjie;  Zhang, Yuang;  Xu, Weizhi;  Liu, Fang'ai 收藏  |  浏览/下载：2/0  |  提交时间：2025/12/03 Transformer  Dynamic token compression  Pruning  Multi-dimensional adaptive compression
	LINS: A general medical Q&A framework for enhancing the quality and credibility of LLM-generated responses 期刊论文 NATURE COMMUNICATIONS, 2025, 卷号: 16, 期号: 1, 页码: 20 作者:  Wang, Sheng;  Zhao, Fangyuan;  Bu, Dechao;  Lu, Yunwei;  Gong, Ming;  Liu, Hongjie;  Yang, Zhaohui;  Zeng, Xiaoxi;  Yuan, Zhiyuan;  Wan, Baoping;  Sun, Jingbo;  Wu, Yang;  Zhao, Lianhe;  Wan, Xirun;  Huang, Wei;  Wang, Tao;  Xu, Mengtong;  Luo, Jianjun;  Liu, Jingjia;  Zheng, Jianjun;  Zhang, Wei;  Zhang, Kang;  Zhang, Hongjia;  Wang, Shu;  Chen, Runsheng;  Zhao, Yi 收藏  |  浏览/下载：2/0  |  提交时间：2025/12/03
	A Generic Layer Pruning Method for Signal Modulation Recognition Deep Learning Models 期刊论文 IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING, 2025, 卷号: 11, 期号: 4, 页码: 2123-2134 作者:  Lu, Yao;  Zhu, Yutao;  Li, Yuqi;  Xu, Dongwei;  Lin, Yun;  Xuan, Qi;  Yang, Xiaoniu 收藏  |  浏览/下载：2/0  |  提交时间：2025/12/03 Computational modeling  Deep learning  Modulation  Training  Pattern classification  Computational complexity  Vectors  Semantics  Perturbation methods  Indexes  Automatic modulation recognition  layer pruning  deep learning  edge devices
	Non-circular Coherent Signal DOA Estimation Based on Block Diagonal Spatial Smoothing Mechanism 期刊论文 CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2025, 页码: 21 作者:  Dong, Xudong;  Zhang, Yongkui;  Qiu, Jibin;  Zhao, Jun;  Liu, Hao;  Luo, Jie;  Yang, Xu;  Lu, Yu 收藏  |  浏览/下载：2/0  |  提交时间：2025/12/03 DOA estimation  Coherent signal  Non-circular phase  Block diagonal spatial smoothing
	Transformer based on regression model for the denoising of X-ray pulsar profiles 期刊论文 ADVANCES IN SPACE RESEARCH, 2025, 卷号: 76, 期号: 2, 页码: 1068-1079 作者:  Ng, Zhiwei Hua;  Zong, Hua;  Ao, Liming;  Lu, Kunfeng;  Ie, Yujia;  Xu, Qian 收藏  |  浏览/下载：2/0  |  提交时间：2025/12/03 Pulsar profile denoising  Transformer  X-ray pulsar-based navigation
	DeePMD-kit v3: A Multiple-Backend Framework for Machine Learning Potentials 期刊论文 JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2025, 卷号: 21, 期号: 9, 页码: 4375-4385 作者:  Zeng, Jinzhe;  Zhang, Duo;  Peng, Anyang;  Zhang, Xiangyu;  He, Sensen;  Wang, Yan;  Liu, Xinzijian;  Bi, Hangrui;  Li, Yifan;  Cai, Chun;  Zhang, Chengqian;  Du, Yiming;  Zhu, Jia-Xin;  Mo, Pinghui;  Huang, Zhengtao;  Zeng, Qiyu;  Shi, Shaochen;  Qin, Xuejian;  Yu, Zhaoxi;  Luo, Chenxing;  Ding, Ye;  Liu, Yun-Pei;  Shi, Ruosong;  Wang, Zhenyu;  Bore, Sigbjorn Loland;  Chang, Junhan;  Deng, Zhe;  Ding, Zhaohan;  Han, Siyuan;  Jiang, Wanrun;  Ke, Guolin;  Liu, Zhaoqing;  Lu, Denghui;  Muraoka, Koki;  Oliaei, Hananeh;  Singh, Anurag Kumar;  Que, Haohui;  Xu, Weihong;  Xu, Zhangmancang;  Zhuang, Yong-Bin;  Dai, Jiayu;  Giese, Timothy J.;  Jia, Weile;  Xu, Ben;  York, Darrin M.;  Zhang, Linfeng;  Wang, Han 收藏  |  浏览/下载：14/0  |  提交时间：2025/06/25
	Open-set deep learning-enabled single-cell Raman spectroscopy for rapid identification of airborne pathogens in real-world environments 期刊论文 SCIENCE ADVANCES, 2025, 卷号: 11, 期号: 2, 页码: 14 作者:  Zhu, Longji;  Yang, Yunan;  Xu, Fei;  Lu, Xinyu;  Shuai, Mingrui;  An, Zhulin;  Chen, Xiaomeng;  Li, Hu;  Martin, Francis L.;  Vikesland, Peter J.;  Ren, Bin;  Tian, Zhong-Qun;  Zhu, Yong-Guan;  Cui, Li 收藏  |  浏览/下载：10/0  |  提交时间：2025/06/25
	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：30/0  |  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
	Reinforcement Learning Based Online Request Scheduling Framework for Workload-Adaptive Edge Deep Learning Inference 期刊论文 IEEE TRANSACTIONS ON MOBILE COMPUTING, 2024, 卷号: 23, 期号: 12, 页码: 13222-13239 作者:  Tan, Xinrui;  Li, Hongjia;  Xie, Xiaofei;  Guo, Lu;  Ansari, Nirwan;  Huang, Xueqing;  Wang, Liming;  Xu, Zhen;  Liu, Yang 收藏  |  浏览/下载：13/0  |  提交时间：2025/06/25 Deep learning  Computational modeling  Adaptation models  Task analysis  Processor scheduling  Schedules  Reinforcement learning  Deep learning inference serving systems  edge computing  efficient deep learning inference  reinforcement learning
	FedCache: A Knowledge Cache-Driven Federated Learning Architecture for Personalized Edge Intelligence 期刊论文 IEEE TRANSACTIONS ON MOBILE COMPUTING, 2024, 卷号: 23, 期号: 10, 页码: 9368-9382 作者:  Wu, Zhiyuan;  Sun, Sheng;  Wang, Yuwei;  Liu, Min;  Xu, Ke;  Wang, Wen;  Jiang, Xuefeng;  Gao, Bo;  Lu, Jinda 收藏  |  浏览/下载：34/0  |  提交时间：2024/12/06 Computer architecture  Training  Servers  Computational modeling  Data models  Adaptation models  Performance evaluation  Distributed architecture  edge computing  personalized federated learning  knowledge distillation  communication efficiency