中国科学院计算技术研究所机构知识库

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	DEFT: Data-Efficient Fine-Tuning Through Multi-Dimensional Data Selection 期刊论文 IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2026, 卷号: 34, 页码: 352-363 作者:  Dai, Shaojie;  Liu, Xin;  Yu, Yue 收藏  |  浏览/下载：1/0  |  提交时间：2026/05/25 Data models  Complexity theory  Training data  Training  Speech processing  Semantics  Adaptation models  Tuning  Measurement  Large language models  Data-efficient fine-tuning  large language models (LLMs)  instruction fine-tuning  data selection
	FullLoRA: Efficiently Boosting the Robustness of Pretrained Vision Transformers 期刊论文 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2025, 卷号: 34, 页码: 4580-4590 作者:  Yuan, Zheng;  Zhang, Jie;  Shan, Shiguang;  Chen, Xilin 收藏  |  浏览/下载：27/0  |  提交时间：2025/12/03 Training  Computational modeling  Robustness  Adaptation models  Computer vision  Transformers  Visualization  Natural language processing  Image classification  Head  Adversarial training  parameter-efficient  pretrained model
	An Automatic Neural Network Architecture-and-Quantization Joint Optimization Framework for Efficient Model Inference 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2024, 卷号: 43, 期号: 5, 页码: 1497-1510 作者:  Liu, Lian;  Wang, Ying;  Zhao, Xiandong;  Chen, Weiwei;  Li, Huawei;  Li, Xiaowei;  Han, Yinhe 收藏  |  浏览/下载：89/0  |  提交时间：2024/12/06 Optimization  Quantization (signal)  Computer architecture  Training  Computational modeling  Integrated circuit modeling  Convergence  Automatic joint optimization  efficient model inference  network quantization  neural architecture search (NAS)
	Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey 期刊论文 IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2022, 卷号: 9, 期号: 2, 页码: 205-234 作者:  Liu, Xin;  Yan, Mingyu;  Deng, Lei;  Li, Guoqi;  Ye, Xiaochun;  Fan, Dongrui 收藏  |  浏览/下载：117/0  |  提交时间：2022/06/21 Efficient training  graph convolutional networks (GCNs)  graph neural networks (GNNs)  sampling method
	Joint Design of Training and Hardware Towards Efficient and Accuracy-Scalable Neural Network Inference 期刊论文 IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS, 2018, 卷号: 8, 期号: 4, 页码: 810-821 作者:  He, Xin;  Lu, Wenyan;  Yan, Guihai;  Zhang, Xuan 收藏  |  浏览/下载：301/0  |  提交时间：2019/04/03 Approximate computing  neural network accelerator  hardware-oriented training  sensitivity analysis  energy efficient architecture  near threshold voltage  approximate multiplier