中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
自动化研究所 [17]
计算技术研究所 [8]
沈阳自动化研究所 [6]
武汉岩土力学研究所 [5]
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OAI收割 [52]
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期刊论文 [46]
会议论文 [4]
学位论文 [2]
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2025 [1]
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Optimizing Flow Control with Ensemble Kalman Method for Mitigating Flow-Induced Vibration
期刊论文
OAI收割
AIAA JOURNAL, 2025, 页码: 15
作者:
Liu Y(刘毅)
;
Wang SZ(王士召)
;
Zhang XL(张鑫磊)
;
He GW(何国威)
  |  
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2025/05/19
Flow Induced Vibrations
Strouhal Numbers
Control Optimization
Aerodynamic Damping
Optimal Control Theory
Computational Fluid Dynamics
Boundary Layers
Machine Learning
Shock Wave Control
Optimization of co-injecting CH
4
with CO
2
to enhanced oil recovery and carbon storage: A machine-learning based case study on H59 block of Jilin Oilfield, China
期刊论文
OAI收割
GEOENERGY SCIENCE AND ENGINEERING, 2024, 卷号: 243, 页码: 14
作者:
Chen, Guangxu
;
Tian, Hailong
;
Yuan, Yilong
;
Xiao, Ting
;
Lei, Hongwu
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2025/06/27
CO2-EOR
CH4 re-injection
Machine learning
Optimization
Reservoir simulation
Carbon storage
Algorithm-Dependent Generalization of AUPRC Optimization: Theory and Algorithm
期刊论文
OAI收割
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2024, 卷号: 46, 期号: 7, 页码: 5062-5079
作者:
Wen, Peisong
;
Xu, Qianqian
;
Yang, Zhiyong
;
He, Yuan
;
Huang, Qingming
  |  
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2024/12/06
Optimization
Stability analysis
Stochastic processes
Measurement
Standards
Approximation algorithms
Machine learning algorithms
Machine learning
AUPRC
learning to rank
algorithm-dependent generalization
stability
Revisiting AUC-Oriented Adversarial Training With Loss-Agnostic Perturbations
期刊论文
OAI收割
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 15494-15511
作者:
Yang, Zhiyong
;
Xu, Qianqian
;
Hou, Wenzheng
;
Bao, Shilong
;
He, Yuan
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2024/05/20
Optimization
Training
Perturbation methods
Machine learning
Receivers
Machine learning algorithms
Linear programming
AUC Optimization
adversarial learning
machine learning
Chip design with machine learning: a survey from algorithm perspective
期刊论文
OAI收割
SCIENCE CHINA-INFORMATION SCIENCES, 2023, 卷号: 66, 期号: 11, 页码: 31
作者:
He, Wenkai
;
Li, Xiaqing
  |  
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2023/12/04
chip design
machine learning
chip design automation
design result estimation
design optimization and correction
design construction
Optimizing Two-Way Partial AUC With an End-to-End Framework
期刊论文
OAI收割
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 8, 页码: 10228-10246
作者:
Yang, Zhiyong
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2023/12/04
AUC Optimization
machine learning
partial AUC
Rethinking Label Flipping Attack: From Sample Masking to Sample Thresholding
期刊论文
OAI收割
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 6, 页码: 7668-7685
作者:
Xu, Qianqian
;
Yang, Zhiyong
;
Zhao, Yunrui
;
Cao, Xiaochun
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2023/12/04
Data models
Training data
Training
Deep learning
Predictive models
Testing
Optimization
Label flipping attack
machine learning
Robust model for tunnel squeezing using Bayesian optimized classifiers with partially missing database
期刊论文
OAI收割
UNDERGROUND SPACE, 2023, 卷号: 10, 页码: 91
作者:
Bo, Yin
;
Huang, Xing
;
Pan, Yucong
;
Feng, Yanfang
;
Deng, Penghai
  |  
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2023/08/02
Tunnel squeezing hazard
Bayesian optimization
Machine learning techniques
Sparrow search algorithm
Ensemble classifier
Incomplete database
Inclination prediction of a giant open caisson during the sinking process using various machine learning algorithms
期刊论文
OAI收割
OCEAN ENGINEERING, 2023, 卷号: 269
作者:
Dong, Xuechao
;
Guo, Mingwei
;
Wang, Shuilin
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2023/08/02
Open caisson
Inclination prediction
Machine learning
Sinking safety
Parameter influence
Parameter optimization
Machine Learning Methods in Solving the Boolean Satisfiability Problem
期刊论文
OAI收割
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 640-655
作者:
Wenxuan Guo
;
Hui-Ling Zhen
;
Xijun Li
;
Wanqian Luo
;
Mingxuan Yuan
  |  
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/04/23
Machine learning (ML), Boolean satisfiability (SAT), deep learning, graph neural networks (GNNs), combinatorial optimization