中国科学院计算技术研究所机构知识库

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发表日期：2022

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	Multi-featured spatial-temporal and dynamic multi-graph convolutional network for metro passenger flow prediction 期刊论文 CONNECTION SCIENCE, 2022, 卷号: 34, 期号: 1, 页码: 1252-1272 作者:  Zhao, Chuan;  Li, Xin;  Shao, Zezhi;  Yang, HongJi;  Wang, Fei 收藏  |  浏览/下载：32/0  |  提交时间：2022/12/07 Metro passenger flow prediction  deep learning  multi-featured spatial-temporal tensor  dynamic multi-graph neural network
	Insights into the role of long non-coding RNAs in DNA methylation mediated transcriptional regulation 期刊论文 FRONTIERS IN MOLECULAR BIOSCIENCES, 2022, 卷号: 9, 页码: 23 作者:  Yang, Zhen;  Xu, Feng;  Teschendorff, Andrew E.;  Zhao, Yi;  Yao, Lei;  Li, Jian;  He, Yungang 收藏  |  浏览/下载：13/0  |  提交时间：2023/07/12 lncRNA  circRNA  DNA methylation  histone modification  transcriptional regulation  regulatory network
	An Application-oblivious Memory Scheduling System for DNN Accelerators 期刊论文 ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION, 2022, 卷号: 19, 期号: 4, 页码: 26 作者:  Li, Jiansong;  Wang, Xueying;  Chen, Xiaobing;  Li, Guangli;  Dong, Xiao;  Zhao, Peng;  Yu, Xianzhi;  Yang, Yongxin;  Cao, Wei;  Liu, Lei;  Feng, Xiaobing 收藏  |  浏览/下载：14/0  |  提交时间：2023/07/12 Deep learning  memory scheduling  runtime system  DNN accelerators
	Discovery of the correlation between the suspended membrane capacitance and adherent morphology of single cells enriching from clinical pleural effusion revealed by a microfluidic impedance flow cytometry 期刊论文 SENSORS AND ACTUATORS B-CHEMICAL, 2022, 卷号: 371, 页码: 11 作者:  Luan, Xiaofeng;  Li, Yuang;  Zhao, Haiping;  Sun, Sheng;  Fan, Yuanyuan;  Zhang, Wenchang;  Zhang, Lingqian;  Li, Mingxiao;  Wang, Jinghui;  Zhi, Tian;  Zhang, Lina;  Zhao, Yang;  Huang, Chengjun 收藏  |  浏览/下载：27/0  |  提交时间：2022/12/07 Pleural effusion (PE)  3D cell sieving  Cell adherent morphology  Elongation ratio  Single -cell electrical properties  Specific membrane capacitance
	NPInter v5.0: ncRNA interaction database in a new era 期刊论文 NUCLEIC ACIDS RESEARCH, 2022, 页码: 8 作者:  Zheng, Yu;  Luo, Huaxia;  Teng, Xueyi;  Hao, Xinpei;  Yan, Xiaoyu;  Tang, Yiheng;  Zhang, Wanyu;  Wang, Yuanxin;  Zhang, Peng;  Li, Yanyan;  Zhao, Yi;  Chen, Runsheng;  He, Shunmin 收藏  |  浏览/下载：16/0  |  提交时间：2023/07/12
	Deep images enhancement for turbid underwater images based on unsupervised learning 期刊论文 COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2022, 卷号: 202, 页码: 10 作者:  Zhou, Wen-Hui;  Zhu, Deng-Ming;  Shi, Min;  Li, Zhao-Xin;  Duan, Ming;  Wang, Zhao-Qi;  Zhao, Guo-Liang;  Zheng, Cheng-Dong 收藏  |  浏览/下载：13/0  |  提交时间：2023/07/12 Image enhancement  Visual perception  Underwater dataset  Deep learning
	Self-Supervised learning for Conversational Recommendation 期刊论文 INFORMATION PROCESSING & MANAGEMENT, 2022, 卷号: 59, 期号: 6, 页码: 19 作者:  Li, Shuokai;  Xie, Ruobing;  Zhu, Yongchun;  Zhuang, Fuzhen;  Tang, Zhenwei;  Zhao, Wayne Xin;  He, Qing 收藏  |  浏览/下载：14/0  |  提交时间：2023/07/12 Conversational recommender system  Self-supervised learning  Knowledge
	A Deep Learning Method Based on Two-Stage CNN Framework for Recognition of Chinese Reservoirs with Sentinel-2 Images 期刊论文 WATER, 2022, 卷号: 14, 期号: 22, 页码: 21 作者:  Zhao, Guodongfang;  Yao, Ping;  Fu, Li;  Zhang, Zhibin;  Lu, Shanlong;  Long, Tengfei 收藏  |  浏览/下载：13/0  |  提交时间：2023/07/12 two-stage CNN framework  recognition of reservoirs  remote sensing  deep learning  Sentinel-2  object detection
	Image Denoising Based on GAN with Optimization Algorithm 期刊论文 ELECTRONICS, 2022, 卷号: 11, 期号: 15, 页码: 12 作者:  Zhu, Min-Ling;  Zhao, Liang-Liang;  Xiao, Li 收藏  |  浏览/下载：21/0  |  提交时间：2022/12/07 image denoising  GAN  optimization algorithm  autoencoder  ResNet
	Global-and-Local Collaborative Learning for Co-Salient Object Detection 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 12 作者:  Cong, Runmin;  Yang, Ning;  Li, Chongyi;  Fu, Huazhu;  Zhao, Yao;  Huang, Qingming;  Kwong, Sam 收藏  |  浏览/下载：24/0  |  提交时间：2022/12/07 Semantics  Task analysis  Feature extraction  Convolution  Object detection  Computational modeling  Collaborative work  3-D convolution  co-salient object detection (CoSOD)  global correspondence modeling (GCM)  local correspondence modeling (LCM)