Jie Shao

About Jie Shao

Jie Shao, With an exceptional h-index of 34 and a recent h-index of 29 (since 2020), a distinguished researcher at University of Electronic Science and Technology of China, specializes in the field of Multimedia, Database.

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

Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills

Enhancing Radar Echo Extrapolation by ConvLSTM2D for Precipitation Nowcasting

Model and method for multi-source domain adaptation by aligning partial features

Communication-Efficient Federated Neural Collaborative Filtering with Multi-Armed Bandits

Dynamic Bi-layer Graph Learning for Context-aware Sequential Recommendation

Mutual Correlation Network for few-shot learning

Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning

Graph-based non-sampling for knowledge graph enhanced recommendation

Jie Shao Information

University

Position

Professor

Citations(all)

3983

Citations(since 2020)

3085

Cited By

1140

hIndex(all)

34

hIndex(since 2020)

29

i10Index(all)

96

i10Index(since 2020)

81

Email

University Profile Page

Google Scholar

Jie Shao Skills & Research Interests

Multimedia

Database

Top articles of Jie Shao

Title

Journal

Author(s)

Publication Date

Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills

Proceedings of the AAAI Conference on Artificial Intelligence

Hongcai He

Anjie Zhu

Shuang Liang

Feiyu Chen

Jie Shao

2024/3/24

Enhancing Radar Echo Extrapolation by ConvLSTM2D for Precipitation Nowcasting

Sensors

Farah Naz

Lei She

Muhammad Sinan

Jie Shao

2024/1/11

Model and method for multi-source domain adaptation by aligning partial features

2024/4/16

Communication-Efficient Federated Neural Collaborative Filtering with Multi-Armed Bandits

ACM Transactions on Recommender Systems

Waqar Ali

Muhammad Ammad-ud-din

Xiangmin Zhou

Yan Zhang

Jie Shao

2024

Dynamic Bi-layer Graph Learning for Context-aware Sequential Recommendation

ACM Transactions on Recommender Systems

Xiangmin Zhou

Rosni Lumbantoruan

Yongli Ren

Lei Chen

Xiaochun Yang

...

2023

Mutual Correlation Network for few-shot learning

Neural Networks

Derong Chen

Feiyu Chen

Deqiang Ouyang

Jie Shao

2024/4/3

Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning

Proceedings of the AAAI Conference on Artificial Intelligence

Anjie Zhu

Peng-Fei Zhang

Ruihong Qiu

Zetao Zheng

Zi Huang

...

2024/3/24

Graph-based non-sampling for knowledge graph enhanced recommendation

IEEE Transactions on Knowledge and Data Engineering

Shuang Liang

Jie Shao

Jiasheng Zhang

Bin Cui

2023/1/31

Mitigating Data Stalls in Deep Learning with Multi-times Data Loading Rule

Derong Chen

Shuang Liang

Gang Hu

Han Xu

Xianqiang Luo

...

2023/4/14

Tevl: Trilinear encoder for video-language representation learning

ACM Transactions on Multimedia Computing, Communications and Applications

Xin Man

Jie Shao

Feiyu Chen

Mingxing Zhang

Heng Tao Shen

2023/6/7

Reading various types of pointer meters under extreme motion blur

IEEE Transactions on Instrumentation and Measurement

Hongyu Zhang

Yunbo Rao

Jie Shao

Fanman Meng

Jiansu Pu

2023/6/30

W-MRI: A Multi-output Residual Integration Model for Global Weather Forecasting

Lihao Gan

Xin Man

Changyu Li

Lei She

Jie Shao

2023/10/6

StreamE: Learning to Update Representations for Temporal Knowledge Graphs in Streaming Scenarios

Jiasheng Zhang

Jie Shao

Bin Cui

2023/7/19

Knowledge-Distillation-Warm-Start Training Strategy for Lightweight Super-Resolution Networks

Min Lei

Kun He

Hui Xu

Yunfeng Yang

Jie Shao

2023/11/20

Responsible Recommendation Services with Blockchain Empowered Asynchronous Federated Learning

ACM Transactions on Intelligent Systems and Technology

Waqar Ali

Rajesh Kumar

Xiangmin Zhou

Jie Shao

2023

Relational Temporal Graph Convolutional Networks for Ranking-Based Stock Prediction

Zetao Zheng

Jie Shao

Jia Zhu

Heng Tao Shen

2023/4/3

ESTISR: Adapting Efficient Scene Text Image Super-resolution for Real-Scenes

arXiv preprint arXiv:2306.02443

Minghao Fu

Xin Man

Yihan Xu

Jie Shao

2023/6/4

Generalizing math word problem solvers via solution diversification

AAAI 2023

Zhenwen Liang

Jipeng Zhang

Lei Wang

Yan Wang

Jie Shao

...

2023

Fine-Grained Spatio-Temporal Parsing Network for Action Quality Assessment

IEEE Transactions on Image Processing

Kumie Gedamu

Yanli Ji

Yang Yang

Jie Shao

Heng Tao Shen

2023/11/14

A Self-Attention Causal LSTM Model for Precipitation Nowcasting

Lei She

Chenghong Zhang

Xin Man

Xuewei Luo

Jie Shao

2023/7/10

See List of Professors in Jie Shao University(University of Electronic Science and Technology of China)