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2020 – today
- 2024
[c13]Liancheng Xu, Lihua Guo, Xiaoqi Wu, Xinhua Wang, Lei Guo:
Knowledge Tracing with Contrastive Learning and Attention-Based Long Short-Term Memory Network. ICIC (4) 2024: 25-36- [c12]Xinhua Wang, Hao Lu, Liancheng Xu, Lei Guo, Xiaohui Zhao:
Attention-Based Difficulty Feature Enhancement for Knowledge Tracing. IJCNN 2024: 1-9 - 2023
- [j9]Qimeng Guo, Xue Wang, Zhenfang Zhu, Peiyu Liu, Liancheng Xu
:
A knowledge inference model for question answering on an incomplete knowledge graph. Appl. Intell. 53(7): 7634-7646 (2023) - [j8]Meili Sun, Ruina Zhao, Xiang Yin, Liancheng Xu, Chengzhi Ruan, Weikuan Jia:
FBoT-Net: Focal bottleneck transformer network for small green apple detection. Comput. Electron. Agric. 205: 107609 (2023) - [j7]Xinhua Wang, Shasha Zhao, Lei Guo, Lei Zhu, Chaoran Cui, Liancheng Xu:
GraphCA: Learning from Graph Counterfactual Augmentation for Knowledge Tracing. IEEE CAA J. Autom. Sinica 10(11): 2108-2123 (2023) - [c11]Jinyu Zhang, Huichuan Duan, Lei Guo, Liancheng Xu, Xinhua Wang:
Towards Lightweight Cross-Domain Sequential Recommendation via External Attention-Enhanced Graph Convolution Network. DASFAA (2) 2023: 205-220 - [c10]Liancheng Xu, Xiaoxiang Wang, Lei Guo, Jinyu Zhang, Xiaoqi Wu, Xinhua Wang:
Candidate-Aware Dynamic Representation for News Recommendation. ICANN (7) 2023: 272-284 - [c9]Xinhua Wang, Houping Yue, Zizheng Wang, Liancheng Xu, Jinyu Zhang:
Unbiased and Robust: External Attention-enhanced Graph Contrastive Learning for Cross-domain Sequential Recommendation. ICDM (Workshops) 2023: 1526-1534 - [c8]Chuanhao Dong, Fuyong Xu, Yuanying Wang, Peiyu Liu, Liancheng Xu:
CACL: Commonsense-Aware Contrastive Learning for Knowledge Graph Completion. ICONIP (14) 2023: 485-496 - [c7]Qiongan Zhang, Lei Shi, Peiyu Liu, Liancheng Xu:
Discriminating Information of Modality Contributions Network by Gating Mechanism and Multi-Task Learning. IJCNN 2023: 1-7 - [i3]Jinyu Zhang, Huichuan Duan, Lei Guo, Liancheng Xu, Xinhua Wang:
Towards Lightweight Cross-domain Sequential Recommendation via External Attention-enhanced Graph Convolution Network. CoRR abs/2302.03221 (2023) - [i2]Xinhua Wang, Houping Yue, Zizheng Wang, Liancheng Xu, Jinyu Zhang:
Unbiased and Robust: External Attention-enhanced Graph Contrastive Learning for Cross-domain Sequential Recommendation. CoRR abs/2310.04633 (2023) - 2022
- [j6]Hongfei Guo, Xiaomei Yu, Xinhua Wang, Lei Guo, Liancheng Xu, Ran Lu:
Discovering Knowledge-Point Importance From the Learning-Evaluation Data. Int. J. Distance Educ. Technol. 20(1): 1-20 (2022) - [j5]Meili Sun, Liancheng Xu, Rong Luo, Yuqi Lu, Weikuan Jia:
GHFormer-Net: Towards more accurate small green apple/begonia fruit detection in the nighttime. J. King Saud Univ. Comput. Inf. Sci. 34(7): 4421-4432 (2022) - [j4]Lingxu Fan, Lei Guo, Xinhua Wang, Liancheng Xu, Fangai Liu:
Does the author's collaboration mode lead to papers' different citation impacts? An empirical analysis based on propensity score matching. J. Informetrics 16(4): 101350 (2022) - [c6]Qimeng Guo, Huajuan Duan, Chuanhao Dong, Peiyu Liu, Liancheng Xu:
GCL-KGE: Graph Contrastive Learning for Knowledge Graph Embedding. ICONIP (4) 2022: 177-188 - [c5]Qiongan Zhang, Lei Shi, Peiyu Liu, Zhenfang Zhu, Liancheng Xu:
IMCN: Identifying Modal Contribution Network for Multimodal Sentiment Analysis. ICPR 2022: 4729-4735 - [c4]Liancheng Xu, Guangchao Wang, Lei Guo, Xinhua Wang:
Long- and Short-term Attention Network for Knowledge Tracing. IJCNN 2022: 1-9 - [i1]Qimeng Guo, Zhuoran Zheng, Xiuyi Jia, Liancheng Xu:
Label distribution learning via label correlation grid. CoRR abs/2210.08184 (2022) - 2021
- [j3]Xinhua Wang, Yuchen Wang, Lei Guo, Liancheng Xu, Baozhong Gao, Fangai Liu, Wei Li:
Exploring Clustering-Based Reinforcement Learning for Personalized Book Recommendation in Digital Library. Inf. 12(5): 198 (2021) - 2020
- [j2]Liying Wang, Lei Shi, Liancheng Xu, Peiyu Liu, Lindong Zhang, Yanru Dong:
A Parameter-Free Outlier Detection Algorithm Based on Dataset Optimization Method. Inf. 11(1): 26 (2020) - [j1]Xinhua Wang, Xuemeng Yu, Lei Guo, Fangai Liu, Liancheng Xu:
Student Performance Prediction with Short-Term Sequential Campus Behaviors. Inf. 11(4): 201 (2020)
2010 – 2019
- 2016
- [c3]Chengyun Liu, Liancheng Xu, Zhihao Wang, Ningning Wang:
Sentiment analysis method based on context view. ICNC-FSKD 2016: 1577-1581
2000 – 2009
- 2005
- [c2]Fangai Liu, Xinhua Wang, Liancheng Xu:
The Channel Assignment Algorithm on RP(k) Networks. Asia-Pacific Computer Systems Architecture Conference 2005: 488-498 - [c1]Fangai Liu, Liancheng Xu:
The Topological Properties and Network Embedding of RP(k). PDCAT 2005: 21-25
Coauthor Index
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