Publications

A collection of my research work.

Conference Papers

Enhancing Multimodal Misinformation Detection by Replaying the Whole Story from Image Modality Perspective

Bing Wang, Ximing Li*, Yanjun Wang, Changchun Li, Lin Yuanbo Wu, Buyu Wang, Shengsheng Wang

AAAI Conference on Artificial Intelligence (AAAI 2026), 2026

CCF-A ArXiv Code

Balancing Positive and Negative Classification Error Rates in Positive-Unlabeled Learning

Ximing Li, Yuanchao Dai, Bing Wang, Changchun Li*, Jianfeng Qu, Renchu Guan

Annual Conference on Neural Information Processing Systems (NeurIPS 2025), 2025

CCF-A

Variety Is the Spice of Life: Detecting Misinformation with Dynamic Environmental Representations

Bing Wang, Ximing Li*, Yiming Wang, Changchun Li, Jiaxu Cui, Renchu Guan, Bo Yang

International Conference on Information and Knowledge Management (CIKM 2025), 2025

CCF-B ArXiv Code

Remember Past, Anticipate Future: Learning Continual Multimodal Misinformation Detectors

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

ACM International Conference on Multimedia (MM 2025), 2025

CCF-A ArXiv Code Poster

Robust Misinformation Detection by Visiting Potential Commonsense Conflict

Bing Wang, Ximing Li*, Changchun Li, Bingrui Zhao, Bo Fu, Renchu Guan, Shengsheng Wang*

International Joint Conference on Artificial Intelligence (IJCAI 2025), 2025

CCF-A Paper ArXiv Code Poster Slide

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

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

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2025), 2025

CCF-A Paper ArXiv Code Project Slide

Why Misinformation is Created? Detecting them by Integrating Intent Features

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

International Conference on Information and Knowledge Management (CIKM 2024), 2024

CCF-B Paper ArXiv Code Slide

Harmfully Manipulated Images Matter in Multimodal Misinformation Detection

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

ACM International Conference on Multimedia (MM 2024), 2024

CCF-A Paper ArXiv Code Poster

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), 2024

CCF-A Paper

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), 2024

CCF-A Paper

Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations

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

AAAI Conference on Artificial Intelligence (AAAI 2024), 2024

CCF-A Paper ArXiv

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*

International Conference on Information and Knowledge Management (CIKM 2023), 2023

CCF-B Paper

A Contrastive Cross-channel Data Augmentation Framework for Aspect-based Sentiment Analysis

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

International Conference on Computational Linguistics (COLING 2022), 2022

CCF-B Paper ArXiv Code

Journal Articles

Detecting Misinformation by Uncovering Commonsense Conflicts with LLM Workflows

Bing Wang, Ximing Li*, Changchun Li, Bingrui Zhao, Renchu Guan, Lin Yuanbo Wu, Jungong Han

IEEE Transactions on Knowledge and Data Engineering (TKDE), 2026 (IF=10.4)

CCF-A SCI-I

Harmful Visual Content Manipulation Matters in Misinformation Detection Under Multimedia Scenarios

Bing Wang, Ximing Li*, Changchun Li, Jinjin Chi, Tianze Li, Renchu Guan, Shengsheng Wang

IEEE Transactions on Multimedia (TMM), 2026 (IF=9.7)

CCF-B SCI-I

Bidirectional Propagation of Hierarchy-specific Features for Hierarchical Text Classification

Bing Wang, Ximing Li*, Zhengnan Zhang, Bo Fu, Wenting Wang, Jihong Ouyang

IEEE Transactions on Audio, Speech, and Language Processing (TASLP), 2025 (IF=5.1)

CCF-B SCI-I

Escaping the Neutralization Effect of Modality Features Fusion in Multimodal Fake News Detection

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

Information Fusion, 2024 (IF=18.6)

SCI-I Paper Code

Unsupervised Sentence Representation Learning with Frequency-induced Adversarial Tuning and Incomplete Sentence Filtering

Bing Wang, Ximing Li*, Zhiyao Yang, Yuanyuan Guan, Jiayin Li, Shengsheng Wang*

Neural Networks, 2024 (IF=7.8)

CCF-B SCI-I Paper ArXiv Code

Aspect-based Sentiment Classification with Aspect-specific Hypergraph Attention Networks

Jihong Ouyang, Chang Xuan, Bing Wang, Zhiyao Yang*

Expert Systems with Applications, 2024 (IF=8.5)

CCF-C SCI-I Paper

Improving Extractive Summarization with Semantic Enhancement through Topic-Injection based BERT Model

Yiming Wang, Jindong Zhang*, Zhiyao Yang, Bing Wang, Jingyi Jin, Yitong Liu

Information Processing & Management, 2024 (IF=8.6)

CCF-B SCI-I Paper

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

Ximing Li, Bing Wang, Yang Wang*, Meng Wang

ACM Transactions on Knowledge Discovery from Data (TKDD), 2024 (IF=4.3)

CCF-B SCI-III Paper Code

Pseudo Dense Counterfactual Augmentation for Aspect-Based Sentiment Analysis

Jihong Ouyang, Shi Feng, Bing Wang*, Zhiyao Yang

Neurocomputing, 2023 (IF=6.0)

CCF-C SCI-II Paper

Supervised Contrastive Learning with Corrected Labels for Noisy Label Learning

Jihong Ouyang, Chenyang Lu, Bing Wang, Changchun Li*

Applied Intelligence, 2023 (IF=5.3)

CCF-C SCI-II Paper Code

S3MAP: Semisupervised Aspect-based Sentiment Analysis with Masked Aspect Prediction

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

Knowledge-Based Systems, 2023 (IF=8.8)

CCF-C SCI-I Paper

Deep Transition Network with Gating Mechanism for Multivariate Time Series Forecasting

Yimeng Wang, Shi Feng, Bing Wang, Jihong Ouyang*

Applied Intelligence, 2023 (IF=5.3)

CCF-C SCI-II Paper

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 NH Thanh*

Soft Computing, 2023 (IF=4.1)

CCF-C SCI-III Paper ArXiv

Aspect-based Sentiment Analysis with Attention-assisted Graph and Variational Sentence Representation

Shi Feng, Bing Wang, Zhiyao Yang, Jihong Ouyang*

Knowledge-Based Systems, 2022 (IF=8.8)

CCF-C SCI-I Paper Code

Learning with Partial Multi-labeled Data by Leveraging Low-rank Constraint and Decomposition

Ying Wang, Yuanyuan Guan, Bing Wang, Ximing Li*

Applied Intelligence, 2022 (IF=5.3)

CCF-C SCI-II Paper

Preprint Papers

Where Did This Sentence Come From? Tracing Provenance in LLM Reasoning Distillation

Kaiyuan Liu, Shaotian Yan, Rui Miao, Bing Wang, Chen Shen*, Jun Zhang, Jieping Ye

arXiv:2512.20908, 2025

Paper