中国科学院计算技术研究所机构知识库

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已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择期刊影响因子升序期刊影响因子降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序WOS被引频次升序WOS被引频次降序题名升序题名降序
	Swift: High Parallelism Program Generation of Tensor Operators for Accelerating Deep Learning Inference 期刊论文 ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION, 2025, 卷号: 22, 期号: 4, 页码: 25 作者:  Yu, Xiyue;  Bi, Jun;  Wen, Yuanbo;  Xu, Jianxing;  Huang, Di;  Guo, Jiaming;  Li, Wei;  Du, Zidong;  Li, Jing;  Chen, Tianshi;  Guo, Qi 收藏  |  浏览/下载：24/0  |  提交时间：2026/05/25 Code generation  compiler optimization  tensor computation
	Harmonia: A Unified Architecture for Efficient Deep Symbolic Regression 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2025, 卷号: 44, 期号: 2, 页码: 737-750 作者:  Ma, Tianyun;  Wen, Yuanbo;  Song, Xinkai;  Jin, Pengwei;  Huang, Di;  Han, Husheng;  Nan, Ziyuan;  Yu, Zhongkai;  Peng, Shaohui;  Zhao, Yongwei;  Chen, Huaping;  Du, Zidong;  Hu, Xing;  Guo, Qi 收藏  |  浏览/下载：76/0  |  提交时间：2025/06/25 Skeleton  Optimization  Graphics processing units  Vectors  Hardware  Artificial neural networks  Accuracy  Deep symbolic regression (DSR)  radial basis function network (RBFN)  transcendental functions  unified array
	piRT-IFC: Physics-informed real-time impedance flow cytometry for the characterization of cellular intrinsic electrical properties 期刊论文 MICROSYSTEMS & NANOENGINEERING, 2023, 卷号: 9, 期号: 1, 页码: 10 作者:  Luan, Xiaofeng;  Liu, Pengbin;  Huang, Di;  Zhao, Haiping;  Li, Yuang;  Sun, Sheng;  Zhang, Wenchang;  Zhang, Lingqian;  Li, Mingxiao;  Zhi, Tian;  Zhao, Yang;  Huang, Chengjun 收藏  |  浏览/下载：107/0  |  提交时间：2023/12/04
	Rethinking the Importance of Quantization Bias, Toward Full Low-Bit Training 期刊论文 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 7006-7019 作者:  Liu, Chang;  Zhang, Xishan;  Zhang, Rui;  Li, Ling;  Zhou, Shiyi;  Huang, Di;  Li, Zhen;  Du, Zidong;  Liu, Shaoli;  Chen, Tianshi 收藏  |  浏览/下载：111/0  |  提交时间：2023/07/12 Neural network acceleration  low precision training  quantization
	A Decomposable Winograd Method for N-D Convolution Acceleration in Video Analysis 期刊论文 INTERNATIONAL JOURNAL OF COMPUTER VISION, 2021, 页码: 21 作者:  Huang, Di;  Zhang, Rui;  Zhang, Xishan;  Wu, Fan;  Wang, Xianzhuo;  Jin, Pengwei;  Liu, Shaoli;  Li, Ling;  Chen, Yunji 收藏  |  浏览/下载：122/0  |  提交时间：2021/12/01 Convolution neural networks  Model acceleration  Winograd algorithm  Video analysis