中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
自动化研究所 [16]
软件研究所 [6]
计算技术研究所 [5]
深圳先进技术研究院 [1]
地质与地球物理研究所 [1]
理论物理研究所 [1]
更多
采集方式
OAI收割 [38]
内容类型
期刊论文 [24]
会议论文 [8]
学位论文 [6]
发表日期
2023 [1]
2022 [2]
2021 [4]
2020 [5]
2019 [2]
2018 [2]
更多
学科主题
Automation... [3]
Biochemist... [1]
Biochemist... [1]
Physics [1]
固体力学 [1]
情报研究::情报研究... [1]
更多
筛选
浏览/检索结果:
共38条,第1-10条
帮助
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
提交时间升序
提交时间降序
发表日期升序
发表日期降序
题名升序
题名降序
作者升序
作者降序
CSR: Cascade Conditional Variational Auto Encoder with Socially-aware Regression for Pedestrian Trajectory Prediction
期刊论文
OAI收割
PATTERN RECOGNITION, 2023, 卷号: 133, 页码: 10
作者:
Zhou, Hao
;
Ren, Dongchun
;
Yang, Xu
;
Fan, Mingyu
;
Huang, Hai
  |  
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2022/11/14
Pedestrian trajectory prediction
Socially -aware model
Conditional variational autoencoder (CVAE)
EALI: Energy-aware layer-level scheduling for convolutional neural network inference services on GPUs
期刊论文
OAI收割
NEUROCOMPUTING, 2022, 卷号: 507, 页码: 265-281
作者:
Yao, Chunrong
;
Liu, Wantao
;
Liu, Zhibing
;
Yan, Longchuan
;
Hu, Songlin
  |  
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2022/12/07
Scheduling
Convolutional neural networks (CNNs)
GPUs
Service-level-objective (SLO)
Energy minimization
Inference services
MonoPoly: A practical monocular 3D object detector
期刊论文
OAI收割
Pattern Recognition, 2022, 卷号: 132, 期号: 108967, 页码: 1-10
作者:
He Guan
;
Chunfeng Song
;
Zhaoxiang Zhang
;
Tieniu Tan
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2023/05/04
Compositional Variation of the Dayside Martian Ionosphere: Inference from Photochemical Equilibrium Computations
期刊论文
OAI收割
ASTROPHYSICAL JOURNAL, 2021, 卷号: 923, 期号: 1, 页码: 30
作者:
Wu, Xiaoshu
;
Cui, Jun
;
Niu, Dandan
;
Ren, Zhipeng
;
Wei, Yong
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2022/07/01
A hybrid framework for improving uncertainty quantification in deep learning-based QSAR regression modeling
期刊论文
OAI收割
JOURNAL OF CHEMINFORMATICS, 2021, 卷号: 13, 期号: 1, 页码: 17
作者:
Wang, Dingyan
;
Yu, Jie
;
Chen, Lifan
;
Li, Xutong
;
Jiang, Hualiang
  |  
收藏
  |  
浏览/下载:97/0
  |  
提交时间:2021/11/04
Uncertainty quantification
Quantitative structure-activity relationship
Bayesian neural network
Applicability domain
Bayesian inference
Error prediction
Artificial intelligence
TWIRLS, a knowledge-mining technology, suggests a possible mechanism for the pathological changes in the human host after coronavirus infection via ACE2 (vol 81, pg 1004, 2020)
期刊论文
OAI收割
DRUG DEVELOPMENT RESEARCH, 2021, 页码: 1
作者:
Niu, Gang
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2021/12/01
coronavirus
cytokine storm
literature mining
renin
angiotensin system
topic inference
A neural topic model with word vectors and entity vectors for short texts
期刊论文
OAI收割
INFORMATION PROCESSING & MANAGEMENT, 2021, 卷号: 58, 期号: 2, 页码: 11
作者:
Zhao, Xiaowei
;
Wang, Deqing
;
Zhao, Zhengyang
;
Liu, Wei
;
Lu, Chenwei
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2021/12/01
Topic model
Short text
Variational auto-encoder
Word embedding
Entity embedding
TWIRLS, a knowledge-mining technology, suggests a possible mechanism for the pathological changes in the human host after coronavirus infection via ACE2
期刊论文
OAI收割
DRUG DEVELOPMENT RESEARCH, 2020, 卷号: 81, 期号: 8, 页码: 1004-1018
作者:
Ji, Xiaoyang
;
Tan, Wenting
;
Zhang, Chunming
;
Zhai, Yubo
;
Hsueh, Yiching
  |  
收藏
  |  
浏览/下载:56/0
  |  
提交时间:2021/12/01
coronavirus
cytokine storm
literature mining
renin‐
angiotensin system
topic inference
Task Decoupled Knowledge Distillation For Lightweight Face Detectors
会议论文
OAI收割
美国西雅图(线上), October 2020
作者:
Liang XQ(梁孝庆)
;
Zhao X(赵旭)
;
Zhao CY(赵朝阳)
;
Jiang NF(江南飞)
;
Tang M(唐明)
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2023/04/25
Image captioning via hierarchical attention mechanism and policy gradient optimization
期刊论文
OAI收割
SIGNAL PROCESSING, 2020, 卷号: 167, 页码: 12
作者:
Yan, Shiyang
;
Xie, Yuan
;
Wu, Fangyu
;
Smith, Jeremy S.
;
Lu, Wenjin
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2020/03/30
Image captioning
Hierarchical attention mechanism
Generative adversarial network
Reinforcement learning
Policy gradient