Resource Type

Journal Article 74

Conference Videos 3

Year

2023 14

2022 13

2021 4

2020 10

2019 6

2018 6

2017 3

2016 3

2015 4

2012 3

2011 1

2010 1

2009 1

2008 1

2007 1

2006 1

2003 1

2002 1

open ︾

Keywords

Brain network 2

Deep reinforcement learning 2

Graph Laplacian 2

Graph neural networks 2

Graph theoretical analysis 2

Knowledge graph 2

artificial intelligence 2

Streptomyces sp. 1647 1

Academic literature retrieval 1

Accuracy evaluation 1

Alternate vertex updating 1

Anchors 1

Anesthesia 1

Ant colony optimization 1

Anti-coronavirus 1

Anti-influenza A virus 1

Artificial intelligence 1

Attention 1

Attention mechanism 1

open ︾

Search scope:

排序: Display mode:

Stochastic extra-gradient based alternating direction methods for graph-guided regularizedminimization None

Qiang LAN, Lin-bo QIAO, Yi-jie WANG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 6,   Pages 755-762 doi: 10.1631/FITEE.1601771

Abstract: extra-gradient alternating direction method with augmented Lagrangian function (SEGAL), to minimize the graph-guidedA number of important applications in machine learning follow the graph-guided optimization formulationWe conduct experiments on fused logistic regression and graph-guided regularized regression.

Keywords: Stochastic optimization     Graph-guided minimization     Extra-gradient method     Fused logistic regression     Graph-guided    

A knowledge-guided and traditional Chinese medicine informed approach for herb recommendation Research Article

Zhe JIN, Yin ZHANG, Jiaxu MIAO, Yi YANG, Yueting ZHUANG, Yunhe PAN,11521043@zju.edu.cn,yinzh@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 10,   Pages 1416-1429 doi: 10.1631/FITEE.2200662

Abstract: In this paper, we propose a knowledge-guided and TCM-informed approach for .

Keywords: Traditional Chinese medicine     Herb recommendation     Knowledge graph     Graph attention network    

Time reversal method for guided wave inspection in pipes

DENG Fei, WU Bin, HE Cunfu

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 3,   Pages 251-260 doi: 10.1007/s11465-008-0050-1

Abstract: that the time reversal array method is beneficial to the improvement of the signal-to-noise ratio of a guidedThe time reversal process used for guided wave inspection leads to the temporal and spatial focusing.

Keywords: reversal process     beneficial     circumferential location     energy     number    

Classifying multiclass relationships between ASes using graph convolutional network

Frontiers of Engineering Management   Pages 653-667 doi: 10.1007/s42524-022-0217-1

Abstract: We then introduce new features and propose a graph convolutional network (GCN) framework, AS-GCN, to

Keywords: autonomous system     multiclass relationship     graph convolutional network     classification algorithm     Internet    

Ultrasound-guided prostate percutaneous intervention robot system and calibration by informative particle

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 1,   Pages 3-3 doi: 10.1007/s11465-021-0659-x

Abstract: Applying a robot system in ultrasound-guided percutaneous intervention is an effective approach for prostate

Keywords: ultrasound image guidance     prostate percutaneous intervention     parallel robot     kinematics identification     particle swarm optimization     informative value    

High-intensity focused ultrasound tumor ablation: Review of ten years of clinical experience

Lian ZHANG, Zhi-Biao WANG

Frontiers of Medicine 2010, Volume 4, Issue 3,   Pages 294-302 doi: 10.1007/s11684-010-0092-8

Abstract: In 1997, a patient with osteosarcoma was first successfully treated with ultrasound imaging-guided HIFUcancer, pancreatic cancer, bone tumors, and renal cancer have been treated with ultrasound imaging-guided

Keywords: high-intensity focused ultrasound (HIFU)     ultrasound imaging-guided HIFU (USgHIFU)     magnetic resonanceimaging-guided HIFU (MRgHIFU)    

Entity and relation extraction with rule-guided dictionary as domain knowledge

Frontiers of Engineering Management   Pages 610-622 doi: 10.1007/s42524-022-0226-0

Abstract: Entity and relation extraction is an indispensable part of domain knowledge graph construction, which

Keywords: entity extraction     relation extraction     prior knowledge     domain rule    

Large-scale graph processing systems: a survey Review

Ning LIU, Dong-sheng LI, Yi-ming ZHANG, Xiong-lve LI

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 3,   Pages 384-404 doi: 10.1631/FITEE.1900127

Abstract: Graph is a significant data structure that describes the relationship between entries.Many application domains in the real world are heavily dependent on graph data.However, graph applications are vastly different from traditional applications.of specific graph processing platforms.In this survey, we systematically categorize the graph workloads and applications, and provide a detailed

Keywords: Graph workloads     Graph applications     Graph processing systems    

Detecting large-scale underwater cracks based on remote operated vehicle and graph convolutional neural

Wenxuan CAO; Junjie LI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 11,   Pages 1378-1396 doi: 10.1007/s11709-022-0855-8

Abstract: The graph convolutional neural network (GCN) was used to segment the stitched image.

Keywords: underwater cracks     remote operated vehicle     image stitching     image segmentation     graph convolutional    

Distributed coordination inmulti-agent systems: a graph Laplacian perspective

Zhi-min HAN,Zhi-yun LIN,Min-yue FU,Zhi-yong CHEN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 6,   Pages 429-448 doi: 10.1631/FITEE.1500118

Abstract: This paper reviews some main results and progress in distributed multi-agent coordination from a graphsurvey of existing literature in distributed multi-agent coordination and a new perspective in terms of graphFor different types of graph Laplacians, we summarize their inherent coordination features and specific

Keywords: Multi-agent systems     Distributed coordination     Graph Laplacian    

Efficacy of intelligent diagnosis with a dynamic uncertain causality graph model for rare disorders of

Dongping Ning, Zhan Zhang, Kun Qiu, Lin Lu, Qin Zhang, Yan Zhu, Renzhi Wang

Frontiers of Medicine 2020, Volume 14, Issue 4,   Pages 498-505 doi: 10.1007/s11684-020-0791-8

Abstract: On the basis of the principles and algorithms of dynamic uncertain causality graph (DUCG), a diagnosis

Keywords: disorders of sex development (DSD)     intelligent diagnosis     dynamic uncertain causality graph    

A High-Precision US-Guided Robot-Assisted HIFU Treatment System for Breast Cancer Article

Tianhan Tang,Takashi Azuma,Toshihide Iwahashi,Hideki Takeuchi,Etsuko Kobayashi,Ichiro Sakuma

Engineering 2018, Volume 4, Issue 5,   Pages 702-713 doi: 10.1016/j.eng.2018.07.008

Abstract: improve the precision and lower the cost of HIFU treatment, our group has developed an ultrasound (US)-guided

Keywords: HIFU     Breast cancer     US-guided navigation     Medical robotics     Accuracy evaluation    

A Practical Approach to Constructing a Knowledge Graph for Cybersecurity Article

Yan Jia, Yulu Qi, Huaijun Shang, Rong Jiang, Aiping Li

Engineering 2018, Volume 4, Issue 1,   Pages 53-60 doi: 10.1016/j.eng.2018.01.004

Abstract: At present, it is very significant that certain scholars have combined the concept of the knowledge graph

Keywords: Cybersecurity     Knowledge graph     Knowledge deduction    

A new field of weapons—smart munitions

Yang Shaoqing

Strategic Study of CAE 2009, Volume 11, Issue 10,   Pages 4-7

Abstract:

This paper presented the technical meaning,characteristics,recent success, futrue development of a new field of weapons──smart munitions, and some suggestions on developing smart munition of China.

Keywords: smart munition     sensor fuzed munition     terminally guided munition     guided munition     trajectory corrected    

Erratum to: Soft-HGRNs: soft hierarchical graph recurrent networks for multi-agent partially observable

Yixiang REN, Zhenhui YE, Yining CHEN, Xiaohong JIANG, Guanghua SONG

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 3,   Pages 480-480 doi: 10.1631/FITEE.22e0073

Title Author Date Type Operation

Stochastic extra-gradient based alternating direction methods for graph-guided regularizedminimization

Qiang LAN, Lin-bo QIAO, Yi-jie WANG

Journal Article

A knowledge-guided and traditional Chinese medicine informed approach for herb recommendation

Zhe JIN, Yin ZHANG, Jiaxu MIAO, Yi YANG, Yueting ZHUANG, Yunhe PAN,11521043@zju.edu.cn,yinzh@zju.edu.cn

Journal Article

Time reversal method for guided wave inspection in pipes

DENG Fei, WU Bin, HE Cunfu

Journal Article

Classifying multiclass relationships between ASes using graph convolutional network

Journal Article

Ultrasound-guided prostate percutaneous intervention robot system and calibration by informative particle

Journal Article

High-intensity focused ultrasound tumor ablation: Review of ten years of clinical experience

Lian ZHANG, Zhi-Biao WANG

Journal Article

Entity and relation extraction with rule-guided dictionary as domain knowledge

Journal Article

Large-scale graph processing systems: a survey

Ning LIU, Dong-sheng LI, Yi-ming ZHANG, Xiong-lve LI

Journal Article

Detecting large-scale underwater cracks based on remote operated vehicle and graph convolutional neural

Wenxuan CAO; Junjie LI

Journal Article

Distributed coordination inmulti-agent systems: a graph Laplacian perspective

Zhi-min HAN,Zhi-yun LIN,Min-yue FU,Zhi-yong CHEN

Journal Article

Efficacy of intelligent diagnosis with a dynamic uncertain causality graph model for rare disorders of

Dongping Ning, Zhan Zhang, Kun Qiu, Lin Lu, Qin Zhang, Yan Zhu, Renzhi Wang

Journal Article

A High-Precision US-Guided Robot-Assisted HIFU Treatment System for Breast Cancer

Tianhan Tang,Takashi Azuma,Toshihide Iwahashi,Hideki Takeuchi,Etsuko Kobayashi,Ichiro Sakuma

Journal Article

A Practical Approach to Constructing a Knowledge Graph for Cybersecurity

Yan Jia, Yulu Qi, Huaijun Shang, Rong Jiang, Aiping Li

Journal Article

A new field of weapons—smart munitions

Yang Shaoqing

Journal Article

Erratum to: Soft-HGRNs: soft hierarchical graph recurrent networks for multi-agent partially observable

Yixiang REN, Zhenhui YE, Yining CHEN, Xiaohong JIANG, Guanghua SONG

Journal Article