Bing Wang

According to our database, Bing Wang authored at least 19 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Remember Past, Anticipate Future: Learning Continual Multimodal Misinformation Detectors.

Bing Wang, Ximing Li, Mengzhe Ye, Changchun Li, Bo Fu, Jianfeng Qu, Lin Yuanbo Wu

CoRR, July, 2025

Robust Misinformation Detection by Visiting Potential Commonsense Conflict.

Bing Wang, Ximing Li, Changchun Li, Bingrui Zhao, Bo Fu, Renchu Guan, Sheng-Sheng Wang

CoRR, April, 2025

Collaboration and Controversy Among Experts: Rumor Early Detection by Tuning a Comment Generator.

Bing Wang, Bingrui Zhao, Ximing Li, Changchun Li, Wanfu Gao, Sheng-Sheng Wang

CoRR, April, 2025

<i>Collaboration and Controversy Among Experts: </i> Rumor Early Detection by Tuning a Comment Generator.

Bing Wang, Bingrui Zhao, Ximing Li, Changchun Li, Wanfu Gao, Shengsheng Wang

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

2024

Graph-based Text Classification by Contrastive Learning with Text-level Graph Augmentation.

Ximing Li, Bing Wang, Yang Wang, Meng Wang

ACM Trans. Knowl. Discov. Data, May, 2024

Unsupervised Sentence Representation Learning with Frequency-induced Adversarial tuning and Incomplete sentence filtering.

Bing Wang, Ximing Li, Zhiyao Yang, Yuanyuan Guan, Jiayin Li, Sheng-Sheng Wang

Neural Networks, 2024

Escaping the neutralization effect of modality features fusion in multimodal Fake News Detection.

Bing Wang, Ximing Li, Changchun Li, Shengsheng Wang, Wanfu Gao

Inf. Fusion, 2024

Harmfully Manipulated Images Matter in Multimodal Misinformation Detection.

Bing Wang, Shengsheng Wang, Changchun Li, Renchu Guan, Ximing Li

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

WPML3CP: Wasserstein Partial Multi-Label Learning with Dual Label Correlation Perspectives.

Ximing Li, Yuanchao Dai, Bing Wang, Changchun Li, Renchu Guan, Fangming Gu, Jihong Ouyang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Positive and Unlabeled Learning with Controlled Probability Boundary Fence.

Changchun Li, Yuanchao Dai, Lei Feng, Ximing Li, Bing Wang, Jihong Ouyang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Why Misinformation is Created? Detecting them by Integrating Intent Features.

Bing Wang, Ximing Li, Changchun Li, Bo Fu, Songwen Pei, Shengsheng Wang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations.

Jihong Ouyang, Zhiyao Yang, Silong Liang, Bing Wang, Yimeng Wang, Ximing Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Supervised contrastive learning with corrected labels for noisy label learning.

Jihong Ouyang, Chenyang Lu, Bing Wang, Changchun Li

Appl. Intell., December, 2023

Weakly supervised prototype topic model with discriminative seed words: modifying the category prior by self-exploring supervised signals.

Ximing Li, Bing Wang, Yue Wang, Jihong Ouyang, Harish Garg, Dang N. H. Thanh

Soft Comput., May, 2023

Learning with partial multi-labeled data by leveraging low-rank constraint and decomposition.

Ying Wang, Yuanyuan Guan, Bing Wang, Ximing Li

Appl. Intell., April, 2023

S3map: Semisupervised aspect-based sentiment analysis with masked aspect prediction.

Zhiyao Yang, Bing Wang, Ximing Li, Wenting Wang, Jihong Ouyang

Knowl. Based Syst., 2023

Unsupervised Aspect Term Extraction by Integrating Sentence-level Curriculum Learning with Token-level Self-paced Learning.

Jihong Ouyang, Zhiyao Yang, Chang Xuan, Bing Wang, Yiyuan Wang, Ximing Li

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

A Contrastive Cross-Channel Data Augmentation Framework for Aspect-Based Sentiment Analysis.

Bing Wang, Liang Ding, Qihuang Zhong, Ximing Li, Dacheng Tao

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Weakly Supervised Prototype Topic Model with Discriminative Seed Words: Modifying the Category Prior by Self-exploring Supervised Signals.

Bing Wang, Yue Wang, Ximing Li, Jihong Ouyang

CoRR, 2021