| 2026 | AAAI | Reasoning About the Unsaid: Misinformation Detection with Omission-Aware Graph Inference. | Zhengjia Wang, Danding Wang, Qiang Sheng, Jiaying Wu, Juan Cao |
| 2026 | ACL | Beyond the Final Actor: Modeling the Dual Roles of Creator and Editor for Fine-Grained LLM-Generated Text Detection. | Yang Li, Qiang Sheng, Zhengjia Wang, Yehan Yang, Danding Wang, Juan Cao |
| 2026 | ACL | Logical Consistency as a Bridge: Improving LLM Hallucination Detection via Label Constraint Modeling between Responses and Self-Judgments. | Hao Mi, Qiang Sheng, Shaofei Wang, Beizhe Hu, Yifan Sun, Zhengjia Wang, Hengqi Zeng, Yang Li, Danding Wang, Juan Cao |
| 2026 | EACL | Tailoring Rumor Debunking to You: Diversifying Chinese Rumor-Debunking Passages with an LLM-Driven Simulated Feedback-Enhanced Framework. | Xinle Pang, Danding Wang, Qiang Sheng, Yifan Sun, Beizhe Hu, Juan Cao |
| 2026 | MMM | Dissecting Deepfake Artifacts via Multimodal Explanations. | Yannan Bai, Danding Wang, Sheng Tang, Juan Cao, Jintao Li |
| 2025 | ACL | Enhancing the Comprehensibility of Text Explanations via Unsupervised Concept Discovery. | Yifan Sun, Danding Wang, Qiang Sheng, Juan Cao, Jintao Li |
| 2025 | CIKM | Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection. | Zhengjia Wang, Qiang Sheng, Danding Wang, Beizhe Hu, Juan Cao |
| 2025 | EMNLP | Forewarned is Forearmed: Pre-Synthesizing Jailbreak-like Instructions to Enhance LLM Safety Guardrail to Potential Attacks. | Sheng Liu, Qiang Sheng, Danding Wang, Yang Liu, Guang Yang, Juan Cao |
| 2025 | EMNLP | The Staircase of Ethics: Probing LLM Value Priorities through Multi-Step Induction to Complex Moral Dilemmas. | Ya Wu, Qiang Sheng, Danding Wang, Guang Yang, Yifan Sun, Zhengjia Wang, Yuyan Bu, Juan Cao |
| 2025 | ICCV | Adversarial Robust Memory-Based Continual Learner. | Xiaoyue Mi, Fan Tang, Zonghan Yang, Danding Wang, Juan Cao, Peng Li, Yang Liu |
| 2025 | SIGIR | LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation. | Beizhe Hu, Qiang Sheng, Juan Cao, Yang Li, Danding Wang |
| 2024 | AAAI | Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection. | Beizhe Hu, Qiang Sheng, Juan Cao, Yuhui Shi, Yang Li, Danding Wang, Peng Qi |
| 2024 | BMVC | Topology-preserving Adversarial Training for Alleviating Natural Accuracy Degradation. | Xiaoyue Mi, Fan Tang, Yepeng Weng, Danding Wang, Juan Cao, Sheng Tang, Peng Li, Yang Liu |
| 2024 | CIKM | Let Silence Speak: Enhancing Fake News Detection with Generated Comments from Large Language Models. | Qiong Nan, Qiang Sheng, Juan Cao, Beizhe Hu, Danding Wang, Jintao Li |
| 2024 | IJCAI | Ten Words Only Still Help: Improving Black-Box AI-Generated Text Detection via Proxy-Guided Efficient Re-Sampling. | Yuhui Shi, Qiang Sheng, Juan Cao, Hao Mi, Beizhe Hu, Danding Wang |
| 2023 | AAAI | FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms. | Peng Qi, Yuyan Bu, Juan Cao, Wei Ji, Ruihao Shui, Junbin Xiao, Danding Wang, Tat-Seng Chua |
| 2023 | AAAI | ERASER: AdvERsArial Sensitive Element Remover for Image Privacy Preservation. | Guang Yang, Juan Cao, Danding Wang, Peng Qi, Jintao Li |
| 2023 | ACL | Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection. | Beizhe Hu, Qiang Sheng, Juan Cao, Yongchun Zhu, Danding Wang, Zhengjia Wang, Zhiwei Jin |
| 2023 | CSCW | Workshop on Understanding and Mitigating Cognitive Biases in Human-AI Collaboration. | Nattapat Boonprakong, Gaole He, Ujwal Gadiraju, Niels van Berkel, Danding Wang, Si Chen, Jiqun Liu, Benjamin Tag, Jorge Gonalves, Tilman Dingler |
| 2023 | CVPR | Progressive Open Space Expansion for Open-Set Model Attribution. | Tianyun Yang, Danding Wang, Fan Tang, Xinying Zhao, Juan Cao, Sheng Tang |
| 2023 | ICCV | SAFL-Net: Semantic-Agnostic Feature Learning Network with Auxiliary Plugins for Image Manipulation Detection. | Zhihao Sun, Haoran Jiang, Danding Wang, Xirong Li, Juan Cao |
| 2022 | ACL | Zoom Out and Observe: News Environment Perception for Fake News Detection. | Qiang Sheng, Juan Cao, Xueyao Zhang, Rundong Li, Danding Wang, Yongchun Zhu |
| 2022 | COLING | Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer. | Qiong Nan, Danding Wang, Yongchun Zhu, Qiang Sheng, Yuhui Shi, Juan Cao, Jintao Li |
| 2022 | SIGIR | Generalizing to the Future: Mitigating Entity Bias in Fake News Detection. | Yongchun Zhu, Qiang Sheng, Juan Cao, Shuokai Li, Danding Wang, Fuzhen Zhuang |
| 2021 | ICDM | MERITS: Medication Recommendation for Chronic Disease with Irregular Time-Series. | Shuai Zhang, Jianxin Li, Haoyi Zhou, Qishan Zhu, Shanghang Zhang, Danding Wang |
| 2019 | CHI | Designing Theory-Driven User-Centric Explainable AI. | Danding Wang, Qian Yang, Ashraf M. Abdul, Brian Y. Lim |
| 2019 | IUI | Why these Explanations? Selecting Intelligibility Types for Explanation Goals. | Brian Y. Lim, Qian Yang, Ashraf M. Abdul, Danding Wang |
| 2018 | CHI | Trends and Trajectories for Explainable, Accountable and Intelligible Systems: An HCI Research Agenda. | Ashraf M. Abdul, Jo Vermeulen, Danding Wang, Brian Y. Lim, Mohan S. Kankanhalli |
| 2018 | IUI | Interpreting Intelligibility under Uncertain Data Imputation. | Brian Y. Lim, Danding Wang, Tze Ping Loh, Kee Yuan Ngiam |