Donghua Liu

According to our database, Donghua Liu authored at least 34 papers between 2003 and 2024.

Collaborative distances:

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

2024

Traffic flow prediction with multi-feature spatio-temporal coupling based on peak time embedding.

Siwei Wei, Dingbo Hu, Feifei Wei, Donghua Liu, Chunzhi Wang

J. Supercomput., November, 2024

Computational Experiments for Complex Social Systems - Part III: The Docking of Domain Models.

Xiao Xue, Xiangning Yu, Deyu Zhou, Chao Peng, Xiao Wang, Donghua Liu, Fei-Yue Wang

IEEE Trans. Comput. Soc. Syst., April, 2024

Flexibly utilizing syntactic knowledge in aspect-based sentiment analysis.

Xiaosai Huang, Jing Li, Jia Wu, Jun Chang, Donghua Liu, Kai Zhu

Inf. Process. Manag., March, 2024

Contrastive graph learning long and short-term interests for POI recommendation.

Jiarun Fu, Rong Gao, Yonghong Yu, Jia Wu, Jing Li, Donghua Liu, Zhiwei Ye

Expert Syst. Appl., March, 2024

Hybrid graph transformer networks for multivariate time series anomaly detection.

Rong Gao, Wei He, Lingyu Yan, Donghua Liu, Yonghong Yu, Zhiwei Ye

J. Supercomput., January, 2024

Computational Experiments Meet Large Language Model Based Agents: A Survey and Perspective.

Qun Ma, Xiao Xue, Deyu Zhou, Xiangning Yu, Donghua Liu, Xuwen Zhang, Zihan Zhao, Yifan Shen, Peilin Ji, Juanjuan Li, Gang Wang, Wanpeng Ma

CoRR, 2024

Coordinate Attention Enhanced Adaptive Spatiotemporal Convolutional Networks for Traffic Flow Forecasting.

Siwei Wei, Sichen Shen, Donghua Liu, Yanan Song, Rong Gao, Chunzhi Wang

IEEE Access, 2024

Group Recommendation Method for Hypergraph Message Passing Meta-Path Mask.

Sheng Qi, Rong Gao, Xiongkai Shao, Donghua Liu, Xiang Wan, Orest Kochan

Proceedings of the 14th International Conference on Advanced Computer Information Technologies, 2024

2023

Transfer Learning With Document-Level Data Augmentation for Aspect-Level Sentiment Classification.

Xiaosai Huang, Jing Li, Jia Wu, Jun Chang, Donghua Liu

IEEE Trans. Big Data, December, 2023

A self-evolving network-based artificial society model for the experiment analysis of complex social system.

Yiling Xuan, Xiangning Yu, Ying Wang, Donghua Liu, Qun Ma, Xiao Xue

Inf. Sci., September, 2023

Multi-Aspect enhanced Graph Neural Networks for recommendation.

Chenyan Zhang, Shan Xue, Jing Li, Jia Wu, Bo Du, Donghua Liu, Jun Chang

Neural Networks, 2023

Dynamic Graph Learning with Long and Short-Term for Multivariate Time Series Anomaly Detection.

Yuyin Tian, Rong Gao, Lingyu Yan, Donghua Liu, Zhiwei Ye

Proceedings of the 12th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2023

Collaborative Decision-Making Processes Analysis of Service Ecosystem: A Case Study of Academic Ecosystem Involution.

Xiangpei Yan, Xiao Xue, Chao Peng, Donghua Liu, Zhiyong Feng, Xiao Wang

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2023

2022

Adaptive Hierarchical Attention-Enhanced Gated Network Integrating Reviews for Item Recommendation.

Donghua Liu, Jia Wu, Jing Li, Bo Du, Jun Chang, Xuefei Li

IEEE Trans. Knowl. Data Eng., 2022

Deep Recommendation With Adversarial Training.

Chenyan Zhang, Jing Li, Jia Wu, Donghua Liu, Jun Chang, Rong Gao

IEEE Trans. Emerg. Top. Comput., 2022

Multi-scale dilated convolution of feature Fusion Network for Crowd counting.

Donghua Liu, Guodong Wang, Guangtao Zhai

Multim. Tools Appl., 2022

Interest Evolution-driven Gated Neighborhood aggregation representation for dynamic recommendation in e-commerce.

Donghua Liu, Jing Li, Jia Wu, Bo Du, Jun Chang, Xuefei Li

Inf. Process. Manag., 2022

Indirect-Instant Attention Optimization for Crowd Counting in Dense Scenes.

Suyu Han, Guodong Wang, Donghua Liu

CoRR, 2022

Global Context-Aware Graph Neural Networks for Session-based Recommendation.

Mingfeng Wang, Jing Li, Jun Chang, Donghua Liu, Chenyan Zhang, Xiaosai Huang

Proceedings of the International Joint Conference on Neural Networks, 2022

Gated Dual Hypergraph Convolutional Networks for Recommendation with Self-supervised Learning.

Rong Gao, Jiakang Liu, Yonghong Yu, Donghua Liu, Xiongkai Shao, Zhiwei Ye

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

A hybrid neural network approach to combine textual information and rating information for item recommendation.

Donghua Liu, Jing Li, Bo Du, Jun Chang, Rong Gao, Yujia Wu

Knowl. Inf. Syst., 2021

2019

Demonstration of improvement of specific on-resistance versus breakdown voltage tradeoff for low-voltage power LDMOS.

Zhaozhao Xu, Donghua Liu, Jun Hu, Feng Jin, Xinjie Yang, Wenting Duan, Wei Yue, Ziquan Fang, Wensheng Qian, Weiran Kong, Shichang Zou

Microelectron. J., 2019

DAML: Dual Attention Mutual Learning between Ratings and Reviews for Item Recommendation.

Donghua Liu, Jing Li, Bo Du, Jun Chang, Rong Gao

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

DRCGR: Deep Reinforcement Learning Framework Incorporating CNN and GAN-Based for Interactive Recommendation.

Rong Gao, Haifeng Xia, Jing Li, Donghua Liu, Shuai Chen, Gang Chun

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

Investigation and impact of LDD variations on the drain disturb in normally-on SONOS NOR flash device.

Zhaozhao Xu, Donghua Liu, Wei Xiong, Jun Hu, Wenting Duan, Hualun Chen, Wensheng Qian, Weiran Kong, Shichang Zou

Microelectron. Reliab., 2018

STSCR: Exploring spatial-temporal sequential influence and social information for location recommendation.

Rong Gao, Jing Li, Xuefei Li, Chengfang Song, Jun Chang, Donghua Liu, Chunzhi Wang

Neurocomputing, 2018

2016

Containment of competitive influence spread in social networks.

Weiyi Liu, Kun Yue, Hong Wu, Jin Li, Donghua Liu, Duanping Tang

Knowl. Based Syst., 2016

Systematic experimental study on stitching techniques of CMOS image sensors.

Jun Zhu, Donghua Liu, Wei Zhang, Qing Wang, Wenliang Li, Lijun Chen, Chen Li, Yuhang Zhao

IEICE Electron. Express, 2016

2015

An unsupervised automatic change detection approach based on visual attention mechanism.

Donghua Liu, Junping Zhang, Xiaochen Lu

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2011

A new package-group-transmission-based algorithm for human activity recognition in videos.

Yuanzhe Chen, Weiyao Lin, Hongxiang Li, Hangzai Luo, Yisi Tao, Donghua Liu

Proceedings of the 2011 IEEE Visual Communications and Image Processing, 2011

2004

Vega: A Computer Systems Approach to Grid Computing.

Zhiwei Xu, Wei Li, Li Zha, Haiyan Yu, Donghua Liu

J. Grid Comput., 2004

Design and Implementation of a 3A Accessing Paradigm Supported Grid Application and Programming Environment.

Ge He, Donghua Liu, Yuzhong Sun, Zhiwei Xu

Proceedings of the Parallel and Distributed Processing and Applications, 2004

2003

GSRP: An Application-Level Protocol for Grid Environments.

Zhiqiang Hou, Donghua Liu, Zhiwei Xu, Wei Li

Proceedings of the Grid and Cooperative Computing, Second International Workshop, 2003

Research on User Programming Environment in Grid.

Ge He, Donghua Liu, Zhiwei Xu, Lin Li, Shengliang Xu

Proceedings of the Grid and Cooperative Computing, Second International Workshop, 2003