Feifei Kou

According to our database, Feifei Kou authored at least 28 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A survey on cross-media search based on user intention understanding in social networks.

Lei Shi, Jia Luo, Chuangying Zhu, Feifei Kou, Gang Cheng, Xia Liu

Inf. Fusion, 2023

SimCGNN: Simple Contrastive Graph Neural Network for Session-based Recommendation.

Yuan Cao, Xudong Zhang, Fan Zhang, Feifei Kou, Josiah Poon, Xiongnan Jin, Yongheng Wang, Jinpeng Chen

CoRR, 2023

Video Super-Resolution Reconstruction Based on Deep Learning and Spatio-Temporal Feature Self-similarity (Extended abstract).

Meiyu Liang, Junping Du, Linghui Li, Zhe Xue, Xiaoxiao Wang, Feifei Kou, Xu Wang

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Video Super-Resolution Reconstruction Based on Deep Learning and Spatio-Temporal Feature Self-Similarity.

MeiYu Liang, Junping Du, Linghui Li, Zhe Xue, Xiaoxiao Wang, Feifei Kou, Xu Wang

IEEE Trans. Knowl. Data Eng., 2022

A scientific research topic trend prediction model based on multi-LSTM and graph convolutional network.

Mingying Xu, Junping Du, Zhe Xue, Zeli Guan, Feifei Kou, Lei Shi

Int. J. Intell. Syst., 2022

Few-shot node classification via local adaptive discriminant structure learning.

Zhe Xue, Junping Du, Xin Xu, Xiangbin Liu, Junfu Wang, Feifei Kou

Frontiers Comput. Sci., 2022

Mining and searching association relation of scientific papers based on deep learning.

Jie Song, MeiYu Liang, Zhe Xue, Feifei Kou, Ang Li

CoRR, 2022

Research on Domain Information Mining and Theme Evolution of Scientific Papers.

Changwei Zheng, Zhe Xue, MeiYu Liang, Feifei Kou, Zeli Guan

CoRR, 2022

An unsupervised cluster-level based method for learning node representations of heterogeneous graphs in scientific papers.

Jie Song, MeiYu Liang, Zhe Xue, Junping Du, Feifei Kou

CoRR, 2022

Research topic trend prediction of scientific papers based on spatial enhancement and dynamic graph convolution network.

Changwei Zheng, Zhe Xue, MeiYu Liang, Feifei Kou

CoRR, 2022

Cross-Media Scientific Research Achievements Retrieval Based on Deep Language Model.

Benzhi Wang, MeiYu Liang, Feifei Kou, Mingying Xu

CoRR, 2022

2021

MVGAN: Multi-View Graph Attention Network for Social Event Detection.

Wanqiu Cui, Junping Du, Dawei Wang, Feifei Kou, Zhe Xue

ACM Trans. Intell. Syst. Technol., 2021

A semi-supervised semantic-enhanced framework for scientific literature retrieval.

Mingying Xu, Junping Du, Zhe Xue, Feifei Kou, Xin Xu

Neurocomputing, 2021

A Hierarchical Multi-label Classification Algorithm for Scientific Papers Based on Graph Attention Networks.

Changwei Zheng, Zhe Xue, Junping Du, Feifei Kou, MeiYu Liang, Mingying Xu

Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

Multi-view Relevance Matching Model of Scientific Papers Based on Graph Convolutional Network and Attention Mechanism.

Jie Song, Zhe Xue, Junping Du, Feifei Kou, MeiYu Liang, Mingying Xu

Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

2020

Cross-Media Semantic Correlation Learning Based on Deep Hash Network and Semantic Expansion for Social Network Cross-Media Search.

MeiYu Liang, Junping Du, Cong-Xian Yang, Zhe Xue, Hai-Sheng Li, Feifei Kou, Yue Geng

IEEE Trans. Neural Networks Learn. Syst., 2020

A sparse topic model for bursty topic discovery in social networks.

Lei Shi, Junping Du, Feifei Kou

Int. Arab J. Inf. Technol., 2020

Prediction of Financial Big Data Stock Trends Based on Attention Mechanism.

Jiannan Chen, Junping Du, Zhe Xue, Feifei Kou

Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

2019

Extended search method based on a semantic hashtag graph combining social and conceptual information.

Wanqiu Cui, Junping Du, Dawei Wang, Feifei Kou, MeiYu Liang, Zhe Xue, Nan Zhou

World Wide Web, 2019

Common Semantic Representation Method Based on Object Attention and Adversarial Learning for Cross-Modal Data in IoV.

Feifei Kou, Junping Du, Wanqiu Cui, Lei Shi, Pengchao Cheng, Jiannan Chen, Jinxuan Li

IEEE Trans. Veh. Technol., 2019

Short Text Analysis Based on Dual Semantic Extension and Deep Hashing in Microblog.

Wanqiu Cui, Junping Du, Dawei Wang, Xunpu Yuan, Feifei Kou, Liyan Zhou, Nan Zhou

ACM Trans. Intell. Syst. Technol., 2019

Dynamic topic modeling via self-aggregation for short text streams.

Lei Shi, Junping Du, MeiYu Liang, Feifei Kou

Peer-to-Peer Netw. Appl., 2019

SRTM: A Sparse RNN-Topic Model for Discovering Bursty Topics in Big Data of Social Networks.

Lei Shi, Junping Du, MeiYu Liang, Fei-Fei Kou

J. Inf. Sci. Eng., 2019

A multi-feature probabilistic graphical model for social network semantic search.

Feifei Kou, Junping Du, Cong-Xian Yang, Yan-Song Shi, MeiYu Liang, Zhe Xue, Haisheng Li

Neurocomputing, 2019

Interaction-Aware Arrangement for Event-Based Social Networks.

Feifei Kou, Zimu Zhou, Hao Cheng, Junping Du, Yexuan Shi, Pan Xu

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018

A semantic modeling method for social network short text based on spatial and temporal characteristics.

Feifei Kou, Junping Du, Zijian Lin, MeiYu Liang, Haisheng Li, Lei Shi, Cong-Xian Yang

J. Comput. Sci., 2018

Hashtag Recommendation Based on Multi-Features of Microblogs.

Fei-Fei Kou, Junping Du, Cong-Xian Yang, Yan-Song Shi, Wan-Qiu Cui, MeiYu Liang, Yue Geng

J. Comput. Sci. Technol., 2018

2016

Social network search based on semantic analysis and learning.

Feifei Kou, Junping Du, Yijiang He, Lingfei Ye

CAAI Trans. Intell. Technol., 2016