Donghua Liu

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 26

Top Topics

Sentiment Classification

Item Recommendation

Top Venues

Inf. Process. Manag.

J. Supercomput.

Publications

Xiao Xue, Xiangning Yu, Deyu Zhou, Chao Peng, Xiao Wang, Donghua Liu, Fei-Yue Wang
Computational Experiments for Complex Social Systems - Part III: The Docking of Domain Models. IEEE Trans. Comput. Soc. Syst. 11 (2) (2024)
Siwei Wei, Dingbo Hu, Feifei Wei, Donghua Liu, Chunzhi Wang
Traffic flow prediction with multi-feature spatio-temporal coupling based on peak time embedding. J. Supercomput. 80 (16) (2024)
Jiarun Fu, Rong Gao, Yonghong Yu, Jia Wu, Jing Li, Donghua Liu, Zhiwei Ye
Contrastive graph learning long and short-term interests for POI recommendation. Expert Syst. Appl. 238 (Part B) (2024)
Rong Gao, Wei He, Lingyu Yan, Donghua Liu, Yonghong Yu, Zhiwei Ye
Hybrid graph transformer networks for multivariate time series anomaly detection. J. Supercomput. 80 (1) (2024)
Xiaosai Huang, Jing Li, Jia Wu, Jun Chang, Donghua Liu, Kai Zhu
Flexibly utilizing syntactic knowledge in aspect-based sentiment analysis. Inf. Process. Manag. 61 (2) (2024)
Qun Ma, Xiao Xue, Deyu Zhou, Xiangning Yu, Donghua Liu, Xuwen Zhang, Zihan Zhao, Yifan Shen, Peilin Ji, Juanjuan Li, Gang Wang, Wanpeng Ma
Computational Experiments Meet Large Language Model Based Agents: A Survey and Perspective. CoRR (2024)
Yuyin Tian, Rong Gao, Lingyu Yan, Donghua Liu, Zhiwei Ye
Dynamic Graph Learning with Long and Short-Term for Multivariate Time Series Anomaly Detection. IDAACS (2023)
Xiangpei Yan, Xiao Xue, Chao Peng, Donghua Liu, Zhiyong Feng, Xiao Wang
Collaborative Decision-Making Processes Analysis of Service Ecosystem: A Case Study of Academic Ecosystem Involution. CollaborateCom (3) (2023)
Xiaosai Huang, Jing Li, Jia Wu, Jun Chang, Donghua Liu
Transfer Learning With Document-Level Data Augmentation for Aspect-Level Sentiment Classification. IEEE Trans. Big Data 9 (6) (2023)
Chenyan Zhang, Shan Xue, Jing Li, Jia Wu, Bo Du, Donghua Liu, Jun Chang
Multi-Aspect enhanced Graph Neural Networks for recommendation. Neural Networks 157 (2023)
Yiling Xuan, Xiangning Yu, Ying Wang, Donghua Liu, Qun Ma, Xiao Xue
A self-evolving network-based artificial society model for the experiment analysis of complex social system. Inf. Sci. 640 (2023)
Suyu Han, Guodong Wang, Donghua Liu
Indirect-Instant Attention Optimization for Crowd Counting in Dense Scenes. CoRR (2022)
Rong Gao, Jiakang Liu, Yonghong Yu, Donghua Liu, Xiongkai Shao, Zhiwei Ye
Gated Dual Hypergraph Convolutional Networks for Recommendation with Self-supervised Learning. IJCNN (2022)
Chenyan Zhang, Jing Li, Jia Wu, Donghua Liu, Jun Chang, Rong Gao
Deep Recommendation With Adversarial Training. IEEE Trans. Emerg. Top. Comput. 10 (4) (2022)
Donghua Liu, Jing Li, Jia Wu, Bo Du, Jun Chang, Xuefei Li
Interest Evolution-driven Gated Neighborhood aggregation representation for dynamic recommendation in e-commerce. Inf. Process. Manag. 59 (4) (2022)
Donghua Liu, Jia Wu, Jing Li, Bo Du, Jun Chang, Xuefei Li
Adaptive Hierarchical Attention-Enhanced Gated Network Integrating Reviews for Item Recommendation. IEEE Trans. Knowl. Data Eng. 34 (5) (2022)
Donghua Liu, Guodong Wang, Guangtao Zhai
Multi-scale dilated convolution of feature Fusion Network for Crowd counting. Multim. Tools Appl. 81 (26) (2022)
Mingfeng Wang, Jing Li, Jun Chang, Donghua Liu, Chenyan Zhang, Xiaosai Huang
Global Context-Aware Graph Neural Networks for Session-based Recommendation. IJCNN (2022)
Donghua Liu, Jing Li, Bo Du, Jun Chang, Rong Gao, Yujia Wu
A hybrid neural network approach to combine textual information and rating information for item recommendation. Knowl. Inf. Syst. 63 (3) (2021)
Zhaozhao Xu, Donghua Liu, Jun Hu, Feng Jin, Xinjie Yang, Wenting Duan, Wei Yue, Ziquan Fang, Wensheng Qian, Weiran Kong, Shichang Zou
Demonstration of improvement of specific on-resistance versus breakdown voltage tradeoff for low-voltage power LDMOS. Microelectron. J. 88 (2019)
Donghua Liu, Jing Li, Bo Du, Jun Chang, Rong Gao
DAML: Dual Attention Mutual Learning between Ratings and Reviews for Item Recommendation. KDD (2019)
Rong Gao, Haifeng Xia, Jing Li, Donghua Liu, Shuai Chen, Gang Chun
DRCGR: Deep Reinforcement Learning Framework Incorporating CNN and GAN-Based for Interactive Recommendation. ICDM (2019)
Rong Gao, Jing Li, Xuefei Li, Chengfang Song, Jun Chang, Donghua Liu, Chunzhi Wang
STSCR: Exploring spatial-temporal sequential influence and social information for location recommendation. Neurocomputing 319 (2018)
Zhaozhao Xu, Donghua Liu, Wei Xiong, Jun Hu, Wenting Duan, Hualun Chen, Wensheng Qian, Weiran Kong, Shichang Zou
Investigation and impact of LDD variations on the drain disturb in normally-on SONOS NOR flash device. Microelectron. Reliab. 84 (2018)
Weiyi Liu, Kun Yue, Hong Wu, Jin Li, Donghua Liu, Duanping Tang
Containment of competitive influence spread in social networks. Knowl. Based Syst. 109 (2016)
Jun Zhu, Donghua Liu, Wei Zhang, Qing Wang, Wenliang Li, Lijun Chen, Chen Li, Yuhang Zhao
Systematic experimental study on stitching techniques of CMOS image sensors. IEICE Electron. Express 13 (15) (2016)
Donghua Liu, Junping Zhang, Xiaochen Lu
An unsupervised automatic change detection approach based on visual attention mechanism. IGARSS (2015)
Yuanzhe Chen, Weiyao Lin, Hongxiang Li, Hangzai Luo, Yisi Tao, Donghua Liu
A new package-group-transmission-based algorithm for human activity recognition in videos. VCIP (2011)
Ge He, Donghua Liu, Yuzhong Sun, Zhiwei Xu
Design and Implementation of a 3A Accessing Paradigm Supported Grid Application and Programming Environment. ISPA (2004)
Zhiwei Xu, Wei Li, Li Zha, Haiyan Yu, Donghua Liu
Vega: A Computer Systems Approach to Grid Computing. J. Grid Comput. 2 (2) (2004)
Ge He, Donghua Liu, Zhiwei Xu, Lin Li, Shengliang Xu
Research on User Programming Environment in Grid. GCC (1) (2003)
Zhiqiang Hou, Donghua Liu, Zhiwei Xu, Wei Li
GSRP: An Application-Level Protocol for Grid Environments. GCC (1) (2003)