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中国科学院计算技术研究所机构知识库
Institute of Computing Technology, Chinese Academy IR
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浏览/检索结果:
共17条,第1-10条
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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
A novel feature integration method for named entity recognition model in product titles
期刊论文
COMPUTATIONAL INTELLIGENCE, 2024, 卷号: 40, 期号: 3, 页码: 19
作者:
Sun, Shiqi
;
Zhang, Kun
;
Li, Jingyuan
;
Sun, Xinghang
;
Cen, Jianhe
;
Wang, Yuanzhuo
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/12/06
multitask learning
named entity recognition
natural language processing
Benchmarking spatial clustering methods with spatially resolved transcriptomics data
期刊论文
NATURE METHODS, 2024, 页码: 25
作者:
Yuan, Zhiyuan
;
Zhao, Fangyuan
;
Lin, Senlin
;
Zhao, Yu
;
Yao, Jianhua
;
Cui, Yan
;
Zhang, Xiao-Yong
;
Zhao, Yi
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2024/05/20
Improving metric-based few-shot learning with dynamically scaled softmax loss
期刊论文
IMAGE AND VISION COMPUTING, 2023, 卷号: 140, 页码: 15
作者:
Zhang, Yu
;
Zuo, Xin
;
Zheng, Xuxu
;
Gao, Xiaoyong
;
Wang, Bo
;
Hu, Weiming
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2024/05/20
Few-shot learning
Metric-based learning framework
Softmax loss improvement
Temporal Dynamic Concept Modeling Network for Explainable Video Event Recognition
期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2023, 卷号: 19, 期号: 6, 页码: 22
作者:
Zhang, Weigang
;
Qi, Zhaobo
;
Wang, Shuhui
;
Su, Chi
;
Su, Li
;
Huang, Qingming
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2023/12/04
Event recognition
temporal concept receptive field
dynamic convolution
Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:
Deng, Lei
;
Wu, Yujie
;
Hu, Yifan
;
Liang, Ling
;
Li, Guoqi
;
Hu, Xing
;
Ding, Yufei
;
Li, Peng
;
Xie, Yuan
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2022/06/21
Neurons
Computational modeling
Quantization (signal)
Optimization
Encoding
Task analysis
Synapses
Activity regularization
alternating direction method of multiplier (ADMM)
connection pruning
spiking neural network (SNN) compression
weight quantization
Space-address decoupled scratchpad memory management for neural network accelerators
期刊论文
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2020, 页码: 13
作者:
Zhang, Zhenxing
;
Sun, Shiyan
;
Chen, Xunyu
;
Zhi, Tian
;
Guo, Qi
;
Chen, Yunji
收藏
  |  
浏览/下载:72/0
  |  
提交时间:2020/12/10
deep neural network
memory management
scratchpad memory
ParaML: A Polyvalent Multicore Accelerator for Machine Learning
期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 9, 页码: 1764-1777
作者:
Zhou, Shengyuan
;
Guo, Qi
;
Du, Zidong
;
Liu, Daofu
;
Chen, Tianshi
;
Li, Ling
;
Liu, Shaoli
;
Zhou, Jinhong
;
Temam, Olivier
;
Feng, Xiaobing
;
Zhou, Xuehai
;
Chen, Yunji
收藏
  |  
浏览/下载:60/0
  |  
提交时间:2020/12/10
Neural networks
Machine learning
Testing
Support vector machines
Linear regression
Computers
Computer architecture
Accelerator
machine learning (ML) techniques
multicore accelerator
Profit Maximization for Sponsored Data in Wireless Video Transmission Systems
期刊论文
IEEE TRANSACTIONS ON MOBILE COMPUTING, 2020, 卷号: 19, 期号: 8, 页码: 1928-1942
作者:
Ji, Wen
;
Zhu, Wenwu
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2020/12/10
Streaming media
Pricing
Wireless communication
Quality of experience
Bandwidth
Data models
Broadcasting
Video transmission
sponsored data
submodular function
optimization
Addressing Irregularity in Sparse Neural Networks Through a Cooperative Software/Hardware Approach
期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2020, 卷号: 69, 期号: 7, 页码: 968-985
作者:
Zeng, Xi
;
Zhi, Tian
;
Zhou, Xuda
;
Du, Zidong
;
Guo, Qi
;
Liu, Shaoli
;
Wang, Bingrui
;
Wen, Yuanbo
;
Wang, Chao
;
Zhou, Xuehai
;
Li, Ling
;
Chen, Tianshi
;
Sun, Ninghui
;
Chen, Yunji
收藏
  |  
浏览/下载:60/0
  |  
提交时间:2020/12/10
Accelerator
architecture
deep neural networks
sparsity