ke Qin (秦科)

About ke Qin (秦科)

ke Qin (秦科), With an exceptional h-index of 17 and a recent h-index of 14 (since 2020), a distinguished researcher at University of Electronic Science and Technology of China, specializes in the field of Neural Networks, Machine Learning, Big Data.

His recent articles reflect a diverse array of research interests and contributions to the field:

Towards lifelong scene graph generation with knowledge-ware in-context prompt learning

Enhancing Relation Extraction using Multi-Task Learning with SDP evidence

Denoising Graph Inference Network for Document-Level Relation Extraction

AInvR: Adaptive Learning Rewards for Knowledge Graph Reasoning Using Agent Trajectories

A causal-based symbolic reasoning framework for uncertain knowledge graphs

Graph Entropy Minimization for Semi-supervised Node Classification

Active learning in multi-label image classification with graph convolutional network embedding

Completion Time Optimization in UAV-Relaying-Assisted MEC Networks with Moving Users

ke Qin (秦科) Information

University

Position

Full Professor of

Citations(all)

1408

Citations(since 2020)

1049

Cited By

718

hIndex(all)

17

hIndex(since 2020)

14

i10Index(all)

32

i10Index(since 2020)

22

Email

University Profile Page

University of Electronic Science and Technology of China

Google Scholar

View Google Scholar Profile

ke Qin (秦科) Skills & Research Interests

Neural Networks

Machine Learning

Big Data

Top articles of ke Qin (秦科)

Title

Journal

Author(s)

Publication Date

Towards lifelong scene graph generation with knowledge-ware in-context prompt learning

arXiv preprint arXiv:2401.14626

Tao He

Tongtong Wu

Dongyang Zhang

Guiduo Duan

Ke Qin

...

2024/1/26

Enhancing Relation Extraction using Multi-Task Learning with SDP evidence

Information Sciences

Hailin Wang

Dan Zhang

Guisong Liu

Li Huang

Ke Qin

2024/4/11

Denoising Graph Inference Network for Document-Level Relation Extraction

Big Data Mining and Analytics

Hailin Wang

Ke Qin

Guiduo Duan

Guangchun Luo

2023/1/26

AInvR: Adaptive Learning Rewards for Knowledge Graph Reasoning Using Agent Trajectories

Tsinghua Science and Technology

Hao Zhang

Guoming Lu

Ke Qin

Kai Du

2023/7/28

A causal-based symbolic reasoning framework for uncertain knowledge graphs

Computers and Electrical Engineering

Guoming Lu

Hao Zhang

Ke Qin

Kai Du

2023/1/1

Graph Entropy Minimization for Semi-supervised Node Classification

arXiv preprint arXiv:2305.19502

Yi Luo

Guangchun Luo

Ke Qin

Aiguo Chen

2023/5/31

Active learning in multi-label image classification with graph convolutional network embedding

Future Generation Computer Systems

Xiurui Xie

Maojun Tian

Guangchun Luo

Guisong Liu

Yizhe Wu

...

2023/11/1

Completion Time Optimization in UAV-Relaying-Assisted MEC Networks with Moving Users

IEEE Transactions on Consumer Electronics

Qiuyi Qi

Tuo Shi

Ke Qin

Guangchun Luo

2023/5/22

QDSE: Question-Driven Semantic Enhancement for Logical Reasoning

Yuchuan Zheng

Ke Qin

2023/10/6

An Extractive Text Summarization Based on Reinforcement Learning

Kai Du

Guoming Lu

Ke Qin

2023/1/31

Fact-CoT: Explicit Fact-Enhanced Chain-of-Thought Prompting for Commonsense Reasoning

Ling Dai

Ke Qin

2023/10/6

Interpretable Fake News Detection on Social Media

Xiwei Xu

Ke Qin

2023/1/31

Edge convolutional networks: Decomposing graph convolutional networks for stochastic training with independent edges

Neurocomputing

Yi Luo

Yan Huang

Guangchun Luo

Ke Qin

Aiguo Chen

2023/9/7

Vqa and visual reasoning: An overview of recent datasets, methods and challenges

Rufai Yusuf Zakari

Jim Wilson Owusu

Hailin Wang

Ke Qin

Zaharaddeen Karami Lawal

...

2022/12/26

Deep neural network-based relation extraction: an overview

Hailin Wang

Ke Qin

Rufai Yusuf Zakari

Guoming Lu

Jin Yin

2022/3/1

Simultaneous extraction of multi-scale structural features and the sequential information with an end-to-end mCNN-HMM combined model for fiber distributed acoustic sensor

Journal of Lightwave Technology

Huijuan Wu

Siqi Yang

Xinyu Liu

Chenrui Xu

Hao Lu

...

2021/10/15

Stgsn—a spatial–temporal graph neural network framework for time-evolving social networks

Knowledge-Based Systems

Shengjie Min

Zhan Gao

Jing Peng

Liang Wang

Ke Qin

...

2021/2/28

Relation extraction: A brief survey on deep neural network based methods

Hailin Wang

Guoming Lu

Jin Yin

Ke Qin

2021/1/16

Document-level relation extraction using evidence reasoning on RST-GRAPH

Knowledge-Based Systems

Hailin Wang

Ke Qin

Guoming Lu

Jin Yin

Rufai Yusuf Zakari

...

2021/9/27

Unsupervised domain adaptation for person re-identification with iterative soft clustering

Proceedings of the AAAI conference on artificial intelligence

Minying Zhang

Kai Liu

Yidong Li

Shihui Guo

Hongtao Duan

...

2021/5/18

See List of Professors in ke Qin (秦科) University(University of Electronic Science and Technology of China)

Co-Authors

H-index: 41
B. John Oommen

B. John Oommen

Carleton University

H-index: 29
Guangyi Chen

Guangyi Chen

Concordia University

H-index: 8
Ying Ma

Ying Ma

Xiamen University of Technology

H-index: 7
Dragos Calitoiu

Dragos Calitoiu

Carleton University

H-index: 5
Hailin Wang

Hailin Wang

University of Electronic Science and Technology of China

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