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Donghua Liu
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2020 – today
- 2024
- [j20]Siwei Wei, Sichen Shen
, Donghua Liu
Coordinate Attention Enhanced Adaptive Spatiotemporal Convolutional Networks for Traffic Flow Forecasting. IEEE Access 12: 140611-140627 (2024) - [j19]Jiarun Fu, Rong Gao
Contrastive graph learning long and short-term interests for POI recommendation. Expert Syst. Appl. 238(Part B): 121931 (2024) - [j18]Xiaosai Huang
Flexibly utilizing syntactic knowledge in aspect-based sentiment analysis. Inf. Process. Manag. 61(2): 103630 (2024) - [j17]Xiao Xue
Computational Experiments for Complex Social Systems - Part III: The Docking of Domain Models. IEEE Trans. Comput. Soc. Syst. 11(2): 1766-1780 (2024) - [j16]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): 642-669 (2024) - [j15]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): 23442-23470 (2024) - [c12]Sheng Qi, Rong Gao, Xiongkai Shao, Donghua Liu, Xiang Wan, Orest Kochan:
Group Recommendation Method for Hypergraph Message Passing Meta-Path Mask. ACIT 2024: 772-777 - [i2]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 abs/2402.00262 (2024) - 2023
- [j14]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: 119057 (2023) - [j13]Chenyan Zhang
Multi-Aspect enhanced Graph Neural Networks for recommendation. Neural Networks 157: 90-102 (2023) - [j12]Xiaosai Huang
Transfer Learning With Document-Level Data Augmentation for Aspect-Level Sentiment Classification. IEEE Trans. Big Data 9(6): 1643-1657 (2023) - [c11]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: 208-228 - [c10]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: 1065-1070 - 2022
- [j11]Donghua Liu, Jing Li, Jia Wu
Interest Evolution-driven Gated Neighborhood aggregation representation for dynamic recommendation in e-commerce. Inf. Process. Manag. 59(4): 102982 (2022) - [j10]Donghua Liu, Guodong Wang, Guangtao Zhai:
Multi-scale dilated convolution of feature Fusion Network for Crowd counting. Multim. Tools Appl. 81(26): 37939-37952 (2022) - [j9]Chenyan Zhang
Deep Recommendation With Adversarial Training. IEEE Trans. Emerg. Top. Comput. 10(4): 1966-1978 (2022) - [j8]Donghua Liu
Adaptive Hierarchical Attention-Enhanced Gated Network Integrating Reviews for Item Recommendation. IEEE Trans. Knowl. Data Eng. 34(5): 2076-2090 (2022) - [c9]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: 1-8 - [c8]Mingfeng Wang, Jing Li, Jun Chang, Donghua Liu, Chenyan Zhang, Xiaosai Huang:
Global Context-Aware Graph Neural Networks for Session-based Recommendation. IJCNN 2022: 1-8 - [i1]Suyu Han, Guodong Wang, Donghua Liu:
Indirect-Instant Attention Optimization for Crowd Counting in Dense Scenes. CoRR abs/2206.05648 (2022) - 2021
- [j7]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): 621-646 (2021)
2010 – 2019
- 2019
- [j6]Zhaozhao Xu
Demonstration of improvement of specific on-resistance versus breakdown voltage tradeoff for low-voltage power LDMOS. Microelectron. J. 88: 29-36 (2019) - [c7]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: 1048-1053 - [c6]Donghua Liu, Jing Li, Bo Du, Jun Chang, Rong Gao:
DAML: Dual Attention Mutual Learning between Ratings and Reviews for Item Recommendation. KDD 2019: 344-352 - 2018
- [j5]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: 118-133 (2018) - [j4]Zhaozhao Xu
Investigation and impact of LDD variations on the drain disturb in normally-on SONOS NOR flash device. Microelectron. Reliab. 84: 157-162 (2018) - 2016
- [j3]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): 20160441 (2016) - [j2]Weiyi Liu, Kun Yue
Containment of competitive influence spread in social networks. Knowl. Based Syst. 109: 266-275 (2016) - 2015
- [c5]Donghua Liu, Junping Zhang, Xiaochen Lu:
An unsupervised automatic change detection approach based on visual attention mechanism. IGARSS 2015: 3045-3048 - 2011
- [c4]Yuanzhe Chen, Weiyao Lin
A new package-group-transmission-based algorithm for human activity recognition in videos. VCIP 2011: 1-4
2000 – 2009
- 2004
- [j1]Zhiwei Xu, Wei Li, Li Zha, Haiyan Yu, Donghua Liu:
Vega: A Computer Systems Approach to Grid Computing. J. Grid Comput. 2(2): 109-120 (2004) - [c3]Ge He, Donghua Liu, Yuzhong Sun, Zhiwei Xu:
Design and Implementation of a 3A Accessing Paradigm Supported Grid Application and Programming Environment. ISPA 2004: 484-488 - 2003
- [c2]Ge He, Donghua Liu, Zhiwei Xu, Lin Li, Shengliang Xu:
Research on User Programming Environment in Grid. GCC (1) 2003: 778-785 - [c1]Zhiqiang Hou, Donghua Liu, Zhiwei Xu, Wei Li:
GSRP: An Application-Level Protocol for Grid Environments. GCC (1) 2003: 825-828
Coauthor Index
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