Ying Wang
Orcid: 0000-0002-3288-5195Affiliations:
- Jilin University, College of Computer Science and Technology / MoE Key Laboratory of Symbolic Computation and Knowledge Engineering, Changchun, China (PhD 2010)
According to our database1,
Ying Wang
authored at least 48 papers
between 2008 and 2024.
Collaborative distances:
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Bibliography
2024
Expert Syst. Appl., February, 2024
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark.
CoRR, 2024
Balancing User Preferences by Social Networks: A Condition-Guided Social Recommendation Model for Mitigating Popularity Bias.
CoRR, 2024
Mitigating social biases of pre-trained language models via contrastive self-debiasing with double data augmentation.
Artif. Intell., 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Inf. Sci., November, 2023
Inf. Sci., November, 2023
Learning continuous dynamic network representation with transformer-based temporal graph neural network.
Inf. Sci., November, 2023
Inf. Sci., September, 2023
Named entity recognition of Traditional Chinese Medicine cases based on RoBERTa-BiLSTM-CRF.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023
Prompt Tuning Pushes Farther, Contrastive Learning Pulls Closer: A Two-Stage Approach to Mitigate Social Biases.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
Exploiting Dual-Attention Networks for Explainable Recommendation in Heterogeneous Information Networks.
Entropy, December, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the 5th International Conference on Algorithms, 2022
Proceedings of the 5th International Conference on Algorithms, 2022
2021
TAERT: Triple-Attentional Explainable Recommendation with Temporal Convolutional Network.
Inf. Sci., 2021
Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion.
Proceedings of the WWW '21: The Web Conference 2021, 2021
2020
Exploring Common and Label-Specific Features for Multi-Label Learning With Local Label Correlations.
IEEE Access, 2020
Attention-Guide Walk Model in Heterogeneous Information Network for Multi-Style Recommendation Explanation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Proceedings of the Natural Language Processing and Chinese Computing, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the Artificial Intelligence and Security - 5th International Conference, 2019
2017
Frontiers Inf. Technol. Electron. Eng., 2017
2016
An improved density peaks-based clustering method for social circle discovery in social networks.
Neurocomputing, 2016
Exploring the Combination of Dempster-Shafer Theory and Neural Network for Predicting Trust and Distrust.
Comput. Intell. Neurosci., 2016
2015
基于人工免疫算法的增量式用户兴趣挖掘 (Incremental User Interest Mining Based on Artificial Immune Algorithm).
计算机科学, 2015
J. Comput. Sci. Technol., 2015
Data Knowl. Eng., 2015
Comput. Intell. Neurosci., 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2013
Proceedings of the Information Computing and Applications - 4th International Conference, 2013
2012
2011
Data extraction and annotation based on domain-specific ontology evolution for deep web.
Comput. Sci. Inf. Syst., 2011
2009
Proceedings of the 2009 Second International Symposium on Computational Intelligence and Design, 2009
2008
Proceedings of the Fourth International Conference on Natural Computation, 2008
Proceedings of the Fourth International Conference on Natural Computation, 2008