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Pre-prints

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Conference Papers

1. Positive and Unlabeled Learning with Controlled Probability Boundary Fence
   Changchun Li, Yuanchao Dai, Lei Feng, Ximing Li, Bing Wang, Jihong Ouyang
   International Conference on Machine Learning (ICML 2024)

2. 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
   International Joint Conference on Artificial Intelligence (IJCAI 2024)

3. Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations [Paper] [ArXiv]
   Jihong Ouyang, Zhiyao Yang, Silong Liang, Bing Wang, Yimeng Wang, Ximing Li*
   AAAI Conference on Artificial Intelligence (AAAI 2024)

4. Unsupervised Aspect Term Extraction by Integrating Sentence-level Curriculum Learning with Token-level Self-paced Learning [Paper]
   Jihong Ouyang, Zhiyao Yang, Chang Xuan, Bing Wang, Yiyuan Wang, Ximing Li*
   International Conference on Information and Knowledge Management (CIKM 2023)

5. A Contrastive Cross-channel Data Augmentation Framework for Aspect-based Sentiment Analysis [Paper] [ArXiv] [Code]
   Bing Wang, Liang Ding*, Qihuang Zhong, Ximing Li, Dacheng Tao
   International Conference on Computational Linguistics (COLING 2022), during my internship in JDEA

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Journal Articles

1. Escaping the Neutralization Effect of Modality Features Fusion in Multimodal Fake News Detection [Paper] [Code]
   Bing Wang, Ximing Li*, Changchun Li, Shengsheng Wang*, Wanfu Gao
   Information Fusion (IF=18.6), 2024

2. Unsupervised Sentence Representation Learning with Frequency-induced Adversarial Tuning and Incomplete Sentence Filtering [Paper] [ArXiv] [Code]
   Bing Wang, Ximing Li*, Zhiyao Yang, Yuanyuan Guan, Jiayin Li, Shengsheng Wang*
   Neural Networks (IF=7.8), 2024

3. Aspect-based Sentiment Classification with Aspect-specific Hypergraph Attention Networks [Paper]
   Jihong Ouyang, Chang Xuan, Bing Wang, Zhiyao Yang*
   Expert Systems with Applications (IF=8.5), 2024

4. Improving Extractive Summarization with Semantic Enhancement through Topic-Injection based BERT Model [Paper]
   Yiming Wang, Jindong Zhang*, Zhiyao Yang, Bing Wang, Jingyi Jin, Yitong Liu
   Information Processing & Management (IF=8.6), 2024

5. Graph-based Text Classification by Contrastive Learning with Text-level Graph Augmentation [Paper] [Code]
   Ximing Li, Bing Wang, Yang Wang*, Meng Wang
   ACM Transactions on Knowledge Discovery from Data (IF=4.3), 2024

6. Pseudo Dense Counterfactual Augmentation for Aspect-Based Sentiment Analysis [Paper]
   Jihong Ouyang, Shi Feng, Bing Wang*, Zhiyao Yang
   Neurocomputing (IF=6.0), 2023

7. Supervised Contrastive Learning with Corrected Labels for Noisy Label Learning [Paper] [Code]
   Jihong Ouyang, Chenyang Lu, Bing Wang, Changchun Li*
   Applied Intelligence (IF=5.3), 2023

8. S3MAP: Semisupervised Aspect-based Sentiment Analysis with Masked Aspect Prediction [Paper]
   Zhiyao Yang, Bing Wang†, Ximing Li*, Wenting Wang, Jihong Ouyang
   Knowledge-Based Systems (IF=8.8), 2023

9. Deep Transition Network with Gating Mechanism for Multivariate Time Series Forecasting [Paper]
   Yimeng Wang, Shi Feng, Bing Wang, Jihong Ouyang*
   Applied Intelligence (IF=5.3), 2023

10. Weakly Supervised Prototype Topic Model with Discriminative Seed Words: Modifying the Category Prior by Self-exploring Supervised Signals [Paper] [ArXiv]
    Ximing Li, Bing Wang, Yue Wang, Jihong Ouyang, Harish Garg, Dang NH Thanh*
    Soft Computing (IF=4.1), 2023

11. Aspect-based Sentiment Analysis with Attention-assisted Graph and Variational Sentence Representation [Paper] [Code]
    Shi Feng, Bing Wang, Zhiyao Yang, Jihong Ouyang*
    Knowledge-Based Systems (IF=8.8), 2022

12. Learning with Partial Multi-labeled Data by Leveraging Low-rank Constraint and Decomposition [Paper]
    Ying Wang, Yuanyuan Guan, Bing Wang, Ximing Li*
    Applied Intelligence (IF=5.3), 2022