Ying Wang

Orcid: 0000-0002-3288-5195

Affiliations:
  • 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 51 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Towards Domain-Aware Stable Meta Learning for Out-of-Distribution Generalization.
ACM Trans. Knowl. Discov. Data, September, 2024

Exploring Multiple Hypergraphs for Heterogeneous Graph Neural Networks.
Expert Syst. Appl., February, 2024

GPL-GNN: Graph prompt learning for graph neural network.
Knowl. Based Syst., 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

Rethinking Independent Cross-Entropy Loss For Graph-Structured Data.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Mitigate Extrinsic Social Bias in Pre-trained Language Models via Continuous Prompts Adjustment.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Data-Centric Explainable Debiasing for Improving Fairness in Pre-trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Generating real-world hypergraphs via deep generative models.
Inf. Sci., November, 2023

Structural-aware motif-based prompt tuning for graph clustering.
Inf. Sci., November, 2023

Learning continuous dynamic network representation with transformer-based temporal graph neural network.
Inf. Sci., November, 2023

Exploring graph capsual network and graphormer for graph classification.
Inf. Sci., September, 2023

A Survey on Fairness in Large Language Models.
CoRR, 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

LAGCL: Towards Stable and Automated Graph Contrastive Learning.
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

Hierarchical recurrent neural networks for graph generation.
Inf. Sci., 2022

Negative samples selecting strategy for graph contrastive learning.
Inf. Sci., 2022

GPPT: Graph Pre-training and Prompt Tuning to Generalize Graph Neural Networks.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Adversarial Training on Weights for Graph Neural Networks.
Proceedings of the 5th International Conference on Algorithms, 2022

AutoAUG : Automatic Data Augmentation for Graph Neural Networks.
Proceedings of the 5th International Conference on Algorithms, 2022

2021
Exploring graph capsual network for graph classification.
Inf. Sci., 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
Explanation Chains Model Based on the Fine-Grained Data.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Learning Network Embedding with Community Structural Information.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Research on Opinion Spam Detection by Time Series Anomaly Detection.
Proceedings of the Artificial Intelligence and Security - 5th International Conference, 2019

2017
Building trust networks in the absence of trust relations.
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
Predicting Trust Relationships in Social Networks Based on WKNN.
J. Softw., 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

面向网页的主题概念挖掘 (Topic Concept Discovery for Web Pages).
计算机科学, 2015

Research on Trust Prediction from a Sociological Perspective.
J. Comput. Sci. Technol., 2015

A fuzzy document clustering approach based on domain-specified ontology.
Data Knowl. Eng., 2015

A Multilayer Naïve Bayes Model for Analyzing User's Retweeting Sentiment Tendency.
Comput. Intell. Neurosci., 2015

Exploring Social Context for Topic Identification in Short and Noisy Texts.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Modeling Status Theory in Trust Prediction.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2013
Microblog Comments Sentiment Analysis Based on Extended Emotional Lexicon.
Proceedings of the Information Computing and Applications - 4th International Conference, 2013

2012
A Novel Combine Forecasting Method for Predicting News Update Time.
J. Softw., 2012

Research on Web Query Translation based on Ontology.
J. Softw., 2012

2011
Research on discovering deep web entries.
Comput. Sci. Inf. Syst., 2011

Data extraction and annotation based on domain-specific ontology evolution for deep web.
Comput. Sci. Inf. Syst., 2011

2009
Automatic Deep Web Query Results Extraction Based on Tag Trees.
Proceedings of the 2009 Second International Symposium on Computational Intelligence and Design, 2009

2008
Domain-Specific Deep Web Sources Discovery.
Proceedings of the Fourth International Conference on Natural Computation, 2008

Integration of Query Interfaces for Deep Web Databases.
Proceedings of the Fourth International Conference on Natural Computation, 2008


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