Research on User Programming Environment in Grid. - Ge He; Donghua Liu; Zhiwei Xu 002; Lin Li; Shengliang Xu (GCC (1), 2003)

GSRP: An Application-Level Protocol for Grid Environments. - Zhiqiang Hou; Donghua Liu; Zhiwei Xu 002; Wei Li 008 (GCC (1), 2003)

Design and Implementation of a 3A Accessing Paradigm Supported Grid Application and Programming Environment. - Ge He; Donghua Liu; Yuzhong Sun; Zhiwei Xu 002 (ISPA, 2004)

Vega: A Computer Systems Approach to Grid Computing. - Zhiwei Xu 002; Wei Li 008; Li Zha; Haiyan Yu 002; Donghua Liu (J. Grid Comput., 2004)

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 (VCIP, 2011)

An unsupervised automatic change detection approach based on visual attention mechanism. - Donghua Liu; Junping Zhang; Xiaochen Lu (IGARSS, 2015)

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 002 (IEICE Electron. Express, 2016)

Containment of competitive influence spread in social networks. - Weiyi Liu; Kun Yue; Hong Wu; Jin Li 007; Donghua Liu; Duanping Tang (Knowl. Based Syst., 2016)

STSCR: Exploring spatial-temporal sequential influence and social information for location recommendation. - Rong Gao; Jing Li 055; Xuefei Li 001; Chengfang Song; Jun Chang; Donghua Liu; Chunzhi Wang (Neurocomputing, 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)

DRCGR: Deep Reinforcement Learning Framework Incorporating CNN and GAN-Based for Interactive Recommendation. - Rong Gao; Haifeng Xia; Jing Li 055; Donghua Liu; Shuai Chen; Gang Chun (ICDM, 2019)

DAML: Dual Attention Mutual Learning between Ratings and Reviews for Item Recommendation. - Donghua Liu; Jing Li 055; Bo Du 001; Jun Chang; Rong Gao (KDD, 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)

A hybrid neural network approach to combine textual information and rating information for item recommendation. - Donghua Liu; Jing Li 055; Bo Du 001; Jun Chang; Rong Gao; Yujia Wu (Knowl. Inf. Syst., 2021)

Gated Dual Hypergraph Convolutional Networks for Recommendation with Self-supervised Learning. - Rong Gao; Jiakang Liu; Yonghong Yu; Donghua Liu; Xiongkai Shao; Zhiwei Ye (IJCNN, 2022)

Global Context-Aware Graph Neural Networks for Session-based Recommendation. - Mingfeng Wang; Jing Li 055; Jun Chang; Donghua Liu; Chenyan Zhang; Xiaosai Huang (IJCNN, 2022)

Indirect-Instant Attention Optimization for Crowd Counting in Dense Scenes. - Suyu Han; Guodong Wang; Donghua Liu (CoRR, 2022)

Interest Evolution-driven Gated Neighborhood aggregation representation for dynamic recommendation in e-commerce. - Donghua Liu; Jing Li 055; Jia Wu 010; Bo Du 001; Jun Chang; Xuefei Li 001 (Inf. Process. Manag., 2022)

Multi-scale dilated convolution of feature Fusion Network for Crowd counting. - Donghua Liu; Guodong Wang 001; Guangtao Zhai (Multim. Tools Appl., 2022)

Deep Recommendation With Adversarial Training. - Chenyan Zhang; Jing Li 055; Jia Wu 001; Donghua Liu; Jun Chang; Rong Gao (IEEE Trans. Emerg. Top. Comput., 2022)

Adaptive Hierarchical Attention-Enhanced Gated Network Integrating Reviews for Item Recommendation. - Donghua Liu; Jia Wu 001; Jing Li 055; Bo Du 001; Jun Chang; Xuefei Li 001 (IEEE Trans. Knowl. Data Eng., 2022)

Collaborative Decision-Making Processes Analysis of Service Ecosystem: A Case Study of Academic Ecosystem Involution. - Xiangpei Yan; Xiao Xue 001; Chao Peng; Donghua Liu; Zhiyong Feng 002; Xiao Wang 002 (CollaborateCom (3), 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 (IDAACS, 2023)

Multi-Aspect enhanced Graph Neural Networks for recommendation. - Chenyan Zhang; Shan Xue 001; Jing Li 055; Jia Wu 001; Bo Du 001; Donghua Liu; Jun Chang (Neural Networks, 2023)

A self-evolving network-based artificial society model for the experiment analysis of complex social system. - Yiling Xuan; Xiangning Yu 001; Ying Wang; Donghua Liu; Qun Ma; Xiao Xue 001 (Inf. Sci., 2023)

Transfer Learning With Document-Level Data Augmentation for Aspect-Level Sentiment Classification. - Xiaosai Huang; Jing Li 055; Jia Wu 001; Jun Chang; Donghua Liu (IEEE Trans. Big Data, 2023)

Group Recommendation Method for Hypergraph Message Passing Meta-Path Mask. - Sheng Qi; Rong Gao; Xiongkai Shao; Donghua Liu; Xiang Wan; Orest Kochan (ACIT, 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)

Computational Experiments Meet Large Language Model Based Agents: A Survey and Perspective. - Qun Ma; Xiao Xue 001; Deyu Zhou; Xiangning Yu 001; Donghua Liu; Xuwen Zhang; Zihan Zhao; Yifan Shen; Peilin Ji; Juanjuan Li; Gang Wang 008; Wanpeng Ma (CoRR, 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., 2024)

Contrastive graph learning long and short-term interests for POI recommendation. - Jiarun Fu; Rong Gao; Yonghong Yu; Jia Wu 001; Jing Li 055; Donghua Liu; Zhiwei Ye (Expert Syst. Appl., 2024)

Flexibly utilizing syntactic knowledge in aspect-based sentiment analysis. - Xiaosai Huang; Jing Li 055; Jia Wu 001; Jun Chang; Donghua Liu; Kai Zhu 009 (Inf. Process. Manag., 2024)

Computational Experiments for Complex Social Systems - Part III: The Docking of Domain Models. - Xiao Xue 001; Xiangning Yu 001; Deyu Zhou; Chao Peng; Xiao Wang 002; Donghua Liu; Fei-Yue Wang 001 (IEEE Trans. Comput. Soc. Syst., 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., 2024)

GADGN: A dual graph convolutional architecture for traffic flow prediction. - Yanan Song; Siwei Wei; Donghua Liu (doors, 2025)