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Danding Wang

Designing Theory-Driven User-Centric Explainable AI
2019 · Danding Wang, Qian Yang, et al. · CHI Conference on Human Factors in Computing Systems · 903
Trends and Trajectories for Explainable, Accountable and Intelligible Systems
2018 · Ashraf Abdul, Jo Vermeulen, et al. · CHI Conference on Human Factors in Computing Systems · 743
Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection
2024 · Beizhe Hu, Qiang Sheng, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 234
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Let Silence Speak: Enhancing Fake News Detection with Generated Comments from Large Language Models
2024 · Qiong Nan, Qiang Sheng, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 67
FakingRecipe: Detecting Fake News on Short Video Platforms from the Perspective of Creative Process
2024 · Yuyan Bu, Qiang Sheng, et al. · ACM International Conference on Multimedia (ACM MM) · 52
Combating Online Misinformation Videos: Characterization, Detection, and Future Directions
2023 · Yuyan Bu, Qiang Sheng, et al. · ACM International Conference on Multimedia (ACM MM) · 42
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Why these Explanations? Selecting Intelligibility Types for Explanation Goals.
2019 · Brian Y. Lim, Qian Yang, et al. · IUI Workshops · 32
Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection
2023 · Beizhe Hu, Qiang Sheng, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 26
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SAFL-Net: Semantic-Agnostic Feature Learning Network with Auxiliary Plugins for Image Manipulation Detection
2023 · Zhihao Sun, Haoran Jiang, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 24
Show or suppress? Managing input uncertainty in machine learning model explanations
2021 · Danding Wang, Wencan Zhang, et al. · Artificial Intelligence · 22
Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer
2022 · Nan, Qiong, Wang, Danding, et al. · arXiv (Cornell University) · 15
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Exploiting user comments for early detection of fake news prior to users’ commenting
2025 · Qiong Nan, Qiang Sheng, et al. · Frontiers of Computer Science · 10
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Rethinking Image Editing Detection in the Era of Generative AI Revolution
2024 · Zhihao Sun, Haipeng Fang, et al. · ACM International Conference on Multimedia (ACM MM) · 8
Workshop on Understanding and Mitigating Cognitive Biases in Human-AI Collaboration
2023 · Nattapat Boonprakong, Gaole He, et al. · ACM Conference on Computer Supported Cooperative Work (CSCW) · 8
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LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation
2025 · Beizhe Hu, Qiang Sheng, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 7
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MERITS: Medication Recommendation for Chronic Disease with Irregular Time-Series
2021 · Shuai Zhang, Jianxin Li, et al. · Proceedings · 7
Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection
2025 · Zhengjia Wang, Qiang Sheng, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 6
Ten Words Only Still Help: Improving Black-Box AI-Generated Text Detection via Proxy-Guided Efficient Re-Sampling
2024 · Yuhui Shi, Qiang Sheng, et al. · International Joint Conference on Artificial Intelligence · 5
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Adversarial Robust Memory-Based Continual Learner
2025 · Xiaoyue Mi, Fan Tang, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 3
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ERASER: AdvERsArial Sensitive Element Remover for Image Privacy Preservation
2023 · Guang Yang, Juan Cao, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 3
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Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection
2023 · Hu, Beizhe, Sheng, Qiang, et al. · arXiv (Cornell University) · 3
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Exploring news intent and its application: A theory-driven approach
2025 · Zhengjia Wang, Danding Wang, et al. · Information Processing & Management · 2
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Forewarned is Forearmed: Pre-Synthesizing Jailbreak-like Instructions to Enhance LLM Safety Guardrail to Potential Attacks
2025 · Sheng Liu, Qiang Sheng, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 1
Interpreting Intelligibility under Uncertain Data Imputation.
2018 · Brian Y. Lim, Danding Wang, et al. · IUI Workshops · 1
EvoFEND: Dual Memory-Driven Self-Evolving Fake News Detection
2026 · Beizhe Hu, Qiang Sheng, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
Works count: 30
Citation count: 2,224
H-index: 11
I10-index: 12
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