Xin Wang
Orcid: 0000-0001-9448-7689Affiliations:
- Jilin University (JLU), School of Artificial Intelligence, Changchun, China
- Changchun Institute of Technology (CIT), School of Computer Technology and Engineering, China
- Jilin University, College of Computer Science and Technology, Changchun, China (PhD 2015)
- Ministry of Education, Key Laboratory of Symbolic Computation and Knowledge Engineering, Changchun, China
- Guilin University of Electronic Technology, Guangxi Key Laboratory of Trusted Software, China
According to our database1,
Xin Wang
authored at least 51 papers
between 2011 and 2024.
Collaborative distances:
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Bibliography
2024
ACM Trans. Knowl. Discov. Data, September, 2024
Expert Syst. Appl., February, 2024
A two-stage co-adversarial perturbation to mitigate out-of-distribution generalization of large-scale graph.
Expert Syst. Appl., 2024
Expert Syst. Appl., 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
Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 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
Pioneering Reliable Assessment in Text-to-Image Knowledge Editing: Leveraging a Fine-Grained Dataset and an Innovative Criterion.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Molecular Data Programming: Towards Molecule Pseudo-labeling with Systematic Weak Supervision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Data-Centric Explainable Debiasing for Improving Fairness in Pre-trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Inf. Sci., November, 2023
Inf. Sci., November, 2023
Inf. Sci., August, 2023
CoRR, 2023
Proceedings of the IEEE International Conference on Robotics and Automation, 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
Contrastive Graph Convolutional Networks with adaptive augmentation for text classification.
Inf. Process. Manag., 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Towards Unified Representations of Knowledge Graph and Expert Rules for Machine Learning and Reasoning.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022
Cross-Domain Representation Learning for Clothes Unfolding in Robot-Assisted Dressing.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
AdaGCL: Adaptive Subgraph Contrastive Learning to Generalize Large-scale Graph Training.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the 5th International Conference on Algorithms, 2022
Proceedings of the 5th International Conference on Algorithms, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
TAERT: Triple-Attentional Explainable Recommendation with Temporal Convolutional Network.
Inf. Sci., 2021
CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks.
CoRR, 2021
Proceedings of the Neural Information Processing - 28th International Conference, 2021
2020
Exploring Common and Label-Specific Features for Multi-Label Learning With Local Label Correlations.
IEEE Access, 2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 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
2017
Frontiers Inf. Technol. Electron. Eng., 2017
2016
Exploring the Combination of Dempster-Shafer Theory and Neural Network for Predicting Trust and Distrust.
Comput. Intell. Neurosci., 2016
2015
J. Comput. Sci. Technol., 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2012
2011