Weakly Supervised Prototype Topic Model with Discriminative Seed Words: Modifying the Category Prior by Self-exploring Supervised Signals. - Bing Wang 018; Yue Wang; Ximing Li 002; Jihong Ouyang (CoRR, 2021)

A Contrastive Cross-Channel Data Augmentation Framework for Aspect-Based Sentiment Analysis. - Bing Wang 018; Liang Ding 006; Qihuang Zhong; Ximing Li 002; Dacheng Tao (COLING, 2022)

Unsupervised Aspect Term Extraction by Integrating Sentence-level Curriculum Learning with Token-level Self-paced Learning. - Jihong Ouyang; Zhiyao Yang; Chang Xuan; Bing Wang 018; Yiyuan Wang 002; Ximing Li 002 (CIKM, 2023)

S3map: Semisupervised aspect-based sentiment analysis with masked aspect prediction. - Zhiyao Yang; Bing Wang 018; Ximing Li 002; Wenting Wang; Jihong Ouyang (Knowl. Based Syst., 2023)

Learning with partial multi-labeled data by leveraging low-rank constraint and decomposition. - Ying Wang; Yuanyuan Guan; Bing Wang 018; Ximing Li 002 (Appl. Intell., 2023)

Weakly supervised prototype topic model with discriminative seed words: modifying the category prior by self-exploring supervised signals. - Ximing Li 002; Bing Wang 018; Yue Wang; Jihong Ouyang; Harish Garg; Dang N. H. Thanh (Soft Comput., 2023)

Supervised contrastive learning with corrected labels for noisy label learning. - Jihong Ouyang; Chenyang Lu 008; Bing Wang 018; Changchun Li (Appl. Intell., 2023)

Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations. - Jihong Ouyang; Zhiyao Yang; Silong Liang; Bing Wang 018; Yimeng Wang; Ximing Li 002 (AAAI, 2024)

Why Misinformation is Created? Detecting them by Integrating Intent Features. - Bing Wang 018; Ximing Li 002; Changchun Li; Bo Fu 001; Songwen Pei; Shengsheng Wang 001 (CIKM, 2024)

Positive and Unlabeled Learning with Controlled Probability Boundary Fence. - Changchun Li; Yuanchao Dai; Lei Feng 006; Ximing Li 002; Bing Wang 018; Jihong Ouyang (ICML, 2024)

WPML3CP: Wasserstein Partial Multi-Label Learning with Dual Label Correlation Perspectives. - Ximing Li 002; Yuanchao Dai; Bing Wang 018; Changchun Li; Renchu Guan; Fangming Gu; Jihong Ouyang (IJCAI, 2024)

Harmfully Manipulated Images Matter in Multimodal Misinformation Detection. - Bing Wang 018; Shengsheng Wang 001; Changchun Li; Renchu Guan; Ximing Li 002 (ACM Multimedia, 2024)

Escaping the neutralization effect of modality features fusion in multimodal Fake News Detection. - Bing Wang 018; Ximing Li 002; Changchun Li; Shengsheng Wang 001; Wanfu Gao (Inf. Fusion, 2024)

Unsupervised Sentence Representation Learning with Frequency-induced Adversarial tuning and Incomplete sentence filtering. - Bing Wang 018; Ximing Li 002; Zhiyao Yang; Yuanyuan Guan; Jiayin Li; Sheng-Sheng Wang 001 (Neural Networks, 2024)

Graph-based Text Classification by Contrastive Learning with Text-level Graph Augmentation. - Ximing Li 002; Bing Wang 018; Yang Wang 023; Meng Wang 001 (ACM Trans. Knowl. Discov. Data, 2024)

Collaboration and Controversy Among Experts: Rumor Early Detection by Tuning a Comment Generator. - Bing Wang 018; Bingrui Zhao; Ximing Li 002; Changchun Li; Wanfu Gao; Shengsheng Wang 001 (SIGIR, 2025)

Collaboration and Controversy Among Experts: Rumor Early Detection by Tuning a Comment Generator. - Bing Wang 018; Bingrui Zhao; Ximing Li 002; Changchun Li; Wanfu Gao; Sheng-Sheng Wang 001 (CoRR, 2025)

Robust Misinformation Detection by Visiting Potential Commonsense Conflict. - Bing Wang 018; Ximing Li 002; Changchun Li; Bingrui Zhao; Bo Fu 001; Renchu Guan; Sheng-Sheng Wang 001 (CoRR, 2025)

Remember Past, Anticipate Future: Learning Continual Multimodal Misinformation Detectors. - Bing Wang 018; Ximing Li 002; Mengzhe Ye; Changchun Li; Bo Fu 001; Jianfeng Qu; Lin Yuanbo Wu (CoRR, 2025)