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 (CHI, 2018)

Interpreting Intelligibility under Uncertain Data Imputation. - Brian Y. Lim; Danding Wang; Tze Ping Loh; Kee Yuan Ngiam (IUI Workshops, 2018)

Designing Theory-Driven User-Centric Explainable AI. - Danding Wang; Qian Yang 004; Ashraf M. Abdul; Brian Y. Lim (CHI, 2019)

Why these Explanations? Selecting Intelligibility Types for Explanation Goals. - Brian Y. Lim; Qian Yang 004; Ashraf M. Abdul; Danding Wang (IUI Workshops, 2019)

MERITS: Medication Recommendation for Chronic Disease with Irregular Time-Series. - Shuai Zhang 026; Jianxin Li 002; Haoyi Zhou; Qishan Zhu; Shanghang Zhang; Danding Wang (ICDM, 2021)

Show or suppress? Managing input uncertainty in machine learning model explanations. - Danding Wang; Wencan Zhang; Brian Y. Lim (Artif. Intell., 2021)

Zoom Out and Observe: News Environment Perception for Fake News Detection. - Qiang Sheng 001; Juan Cao 001; Xueyao Zhang; Rundong Li; Danding Wang; Yongchun Zhu (ACL (1), 2022)

Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer. - Qiong Nan; Danding Wang; Yongchun Zhu; Qiang Sheng 001; Yuhui Shi 002; Juan Cao 001; Jintao Li 001 (COLING, 2022)

Generalizing to the Future: Mitigating Entity Bias in Fake News Detection. - Yongchun Zhu; Qiang Sheng 001; Juan Cao 001; Shuokai Li; Danding Wang; Fuzhen Zhuang (SIGIR, 2022)

FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms. - Peng Qi 005; Yuyan Bu; Juan Cao 001; Wei Ji 008; Ruihao Shui; Junbin Xiao; Danding Wang; Tat-Seng Chua (AAAI, 2023)

ERASER: AdvERsArial Sensitive Element Remover for Image Privacy Preservation. - Guang Yang 031; Juan Cao 001; Danding Wang; Peng Qi 005; Jintao Li 001 (AAAI, 2023)

Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection. - Beizhe Hu; Qiang Sheng 001; Juan Cao 001; Yongchun Zhu; Danding Wang; Zhengjia Wang 001; Zhiwei Jin (ACL (industry), 2023)

Workshop on Understanding and Mitigating Cognitive Biases in Human-AI Collaboration. - Nattapat Boonprakong; Gaole He; Ujwal Gadiraju; Niels van Berkel; Danding Wang; Si Chen 006; Jiqun Liu; Benjamin Tag; Jorge Gonçalves 001; Tilman Dingler (CSCW Companion, 2023)

Progressive Open Space Expansion for Open-Set Model Attribution. - Tianyun Yang; Danding Wang; Fan Tang; Xinying Zhao; Juan Cao 001; Sheng Tang (CVPR, 2023)

SAFL-Net: Semantic-Agnostic Feature Learning Network with Auxiliary Plugins for Image Manipulation Detection. - Zhihao Sun; Haoran Jiang; Danding Wang; Xirong Li 001; Juan Cao 001 (ICCV, 2023)

Combating Online Misinformation Videos: Characterization, Detection, and Future Directions. - Yuyan Bu; Qiang Sheng 001; Juan Cao 001; Peng Qi 005; Danding Wang; Jintao Li 001 (ACM Multimedia, 2023)

Online Misinformation Video Detection: A Survey. - Yuyan Bu; Qiang Sheng 001; Juan Cao 001; Peng Qi 005; Danding Wang; Jintao Li 001 (CoRR, 2023)

Fingerprints of Generative Models in the Frequency Domain. - Tianyun Yang; Juan Cao 001; Danding Wang; Chang Xu (CoRR, 2023)

Exploiting User Comments for Early Detection of Fake News Prior to Users' Commenting. - Qiong Nan; Qiang Sheng 001; Juan Cao 001; Yongchun Zhu; Danding Wang; Guang Yang 031; Jintao Li 001; Kai Shu (CoRR, 2023)

Topology-Preserving Adversarial Training. - Xiaoyue Mi; Fan Tang; Yepeng Weng; Danding Wang; Juan Cao 001; Sheng Tang; Peng Li 030; Yang Liu 005 (CoRR, 2023)

Adversarial Robust Memory-Based Continual Learner. - Xiaoyue Mi; Fan Tang; Zonghan Yang; Danding Wang; Juan Cao 001; Peng Li 030; Yang Liu 005 (CoRR, 2023)

Understanding News Creation Intents: Frame, Dataset, and Method. - Zhengjia Wang 001; Danding Wang; Qiang Sheng 001; Juan Cao 001; Silong Su; Yifan Sun; Beizhe Hu; Siyuan Ma (CoRR, 2023)

Bias oriented unbiased data augmentation for cross-bias representation learning. - Lei Li; Fan Tang; Juan Cao 001; Xirong Li 001; Danding Wang (Multim. Syst., 2023)

Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection. - Beizhe Hu; Qiang Sheng 001; Juan Cao 001; Yuhui Shi 002; Yang Li 196; Danding Wang; Peng Qi 005 (AAAI, 2024)

Topology-preserving Adversarial Training for Alleviating Natural Accuracy Degradation. - Xiaoyue Mi; Fan Tang; Yepeng Weng; Danding Wang; Juan Cao 001; Sheng Tang; Peng Li 030; Yang Liu 005 (BMVC, 2024)

Let Silence Speak: Enhancing Fake News Detection with Generated Comments from Large Language Models. - Qiong Nan; Qiang Sheng 001; Juan Cao 001; Beizhe Hu; Danding Wang; Jintao Li 001 (CIKM, 2024)

Ten Words Only Still Help: Improving Black-Box AI-Generated Text Detection via Proxy-Guided Efficient Re-Sampling. - Yuhui Shi 002; Qiang Sheng 001; Juan Cao 001; Hao Mi; Beizhe Hu; Danding Wang (IJCAI, 2024)

FakingRecipe: Detecting Fake News on Short Video Platforms from the Perspective of Creative Process. - Yuyan Bu; Qiang Sheng 001; Juan Cao 001; Peng Qi 005; Danding Wang; Jintao Li 001 (ACM Multimedia, 2024)

Rethinking Image Editing Detection in the Era of Generative AI Revolution. - Zhihao Sun; Haipeng Fang; Juan Cao 001; Xinying Zhao; Danding Wang (ACM Multimedia, 2024)

Enhancing the Comprehensibility of Text Explanations via Unsupervised Concept Discovery. - Yifan Sun; Danding Wang; Qiang Sheng 001; Juan Cao 001; Jintao Li 001 (ACL (Findings), 2025)

LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation. - Beizhe Hu; Qiang Sheng 001; Juan Cao 001; Yang Li 196; Danding Wang (SIGIR, 2025)

Exploring news intent and its application: A theory-driven approach. - Zhengjia Wang 001; Danding Wang; Qiang Sheng 001; Juan Cao 001; Siyuan Ma; Haonan Cheng (Inf. Process. Manag., 2025)

The Staircase of Ethics: Probing LLM Value Priorities through Multi-Step Induction to Complex Moral Dilemmas. - Ya Wu; Qiang Sheng 001; Danding Wang; Guang Yang 031; Yifan Sun; Zhengjia Wang 001; Yuyan Bu; Juan Cao 001 (CoRR, 2025)

Exploiting user comments for early detection of fake news prior to users' commenting. - Qiong Nan; Qiang Sheng 001; Juan Cao 001; Yongchun Zhu; Danding Wang; Guang Yang 031; Jintao Li 001 (Frontiers Comput. Sci., 2025)