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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53条,第1-10条
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A fast test compaction method using dedicated Pure MaxSAT solver embedded in DFT flow
期刊论文
INTEGRATION-THE VLSI JOURNAL, 2025, 卷号: 100, 页码: 11
作者:
Chao, Zhiteng
;
Zhang, Xindi
;
Huang, Junying
;
Liu, Zizhen
;
Zhao, Yixuan
;
Ye, Jing
;
Cai, Shaowei
;
Li, Huawei
;
Li, Xiaowei
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/12/06
Static test compaction
Pure MaxSAT
DFT
ATPG
Learning Critically: Selective Self-Distillation in Federated Learning on Non-IID Data
期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2024, 卷号: 10, 期号: 6, 页码: 789-800
作者:
He, Yuting
;
Chen, Yiqiang
;
Yang, XiaoDong
;
Yu, Hanchao
;
Huang, Yi-Hua
;
Gu, Yang
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/12/06
Data models
Training
Servers
Collaborative work
Adaptation models
Convergence
Feature extraction
Federated learning
knowledge distillation
non-identically distributed
deep learning
catastrophic forgetting
Attention-Guided Residual U-Net with SE Connection and ASPP for Watershed-Based Cell Segmentation in Microscopy Images
期刊论文
JOURNAL OF COMPUTATIONAL BIOLOGY, 2024, 页码: 13
作者:
Niyogisubizo, Jovial
;
Zhao, Keliang
;
Meng, Jintao
;
Pan, Yi
;
Didi, Rosiy Adi
;
Wei, Yanjie
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/12/06
cell segmentation
deep learning
watershed segmentation
bright-field microscopy
iPS cell reprogramming
attention mechanism
DPU-Direct: Unleashing Remote Accelerators via Enhanced RDMA for Disaggregated Datacenters
期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2024, 卷号: 73, 期号: 8, 页码: 2081-2095
作者:
Liao, Yunkun
;
Wu, Jingya
;
Lu, Wenyan
;
Li, Xiaowei
;
Yan, Guihai
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/12/06
Central Processing Unit
Engines
Jitter
Computers
Pipelines
Programming
Encryption
Disaggregated datacenter
SmartNIC
RDMA
hardware accelerator
Towards Robust Semantic Segmentation against Patch-Based Attack via Attention Refinement
期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2024, 页码: 23
作者:
Yuan, Zheng
;
Zhang, Jie
;
Wang, Yude
;
Shan, Shiguang
;
Chen, Xilin
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/12/06
Model robustness
Attention mechanism
Semantic segmentation
Patch-based attack
Improved Denoising of Cryo-Electron Microscopy Micrographs with Simulation-Aware Pretraining
期刊论文
JOURNAL OF COMPUTATIONAL BIOLOGY, 2024, 页码: 12
作者:
Yang, Zhidong
;
Li, Hongjia
;
Zang, Dawei
;
Han, Renmin
;
Zhang, Fa
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/12/06
cryo-EM
image denoising
noise simulation and deep learning
MarkerDetector: A method for robust fiducial marker detection in electron micrographs using wavelet-based template
期刊论文
JOURNAL OF STRUCTURAL BIOLOGY, 2024, 卷号: 216, 期号: 1, 页码: 13
作者:
Hou, Gaoxin
;
Yang, Zhidong
;
Zang, Dawei
;
Fernandez, Jose-Jesus
;
Zhang, Fa
;
Han, Renmin
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2024/05/20
Electron microscopy
Wavelet transform
Template matching
Fiducial marker detection
SPFL: A Self-Purified Federated Learning Method Against Poisoning Attacks
期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2024, 卷号: 19, 页码: 6604-6619
作者:
Liu, Zizhen
;
He, Weiyang
;
Chang, Chip-Hong
;
Ye, Jing
;
Li, Huawei
;
Li, Xiaowei
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/12/06
Data models
Servers
Training
Hidden Markov models
Training data
Adaptation models
Security
Federated learning
poisoning attack
knowledge distillation
attention maps
deep neural network
Enhancing Sample Utilization in Noise-Robust Deep Metric Learning With Subgroup-Based Positive-Pair Selection
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2024, 卷号: 33, 页码: 6083-6097
作者:
Yu, Zhipeng
;
Xu, Qianqian
;
Jiang, Yangbangyan
;
Sun, Yingfei
;
Huang, Qingming
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/12/06
Metric learning
noisy label
deep learning
deep learning
pair- wise loss
pair- wise loss
pair- wise loss
pair- wise loss
positive-pair selection
positive-pair selection
Self-supervised noise modeling and sparsity guided electron tomography volumetric image denoising
期刊论文
ULTRAMICROSCOPY, 2024, 卷号: 255, 页码: 11
作者:
Yang, Zhidong
;
Zang, Dawei
;
Li, Hongjia
;
Zhang, Zhao
;
Zhang, Fa
;
Han, Renmin
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2024/05/20
Electron tomography
Image denoising
Self-supervised learning