Danding Wang

58 papers A* 16A 3B 1Journal 29Unranked 9
YearRankTypeTitle / Venue / Authors
2026 — conf
Dissecting Deepfake Artifacts via Multimodal Explanations.
MMM (1)
Yannan Bai, Danding Wang, Sheng Tang, Juan Cao, Jintao Li
2026 A* conf
Reasoning About the Unsaid: Misinformation Detection with Omission-Aware Graph Inference.
AAAI
Zhengjia Wang, Danding Wang, Qiang Sheng, Jiaying Wu, Juan Cao
2026 — conf
Tailoring Rumor Debunking to You: Diversifying Chinese Rumor-Debunking Passages with an LLM-Driven Simulated Feedback-Enhanced Framework.
EACL (Industry Track)
Xinle Pang, Danding Wang, Qiang Sheng, Yifan Sun, Beizhe Hu, Juan Cao
2025 A conf
Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection.
CIKM
Zhengjia Wang, Qiang Sheng, Danding Wang, Beizhe Hu, Juan Cao
2025 J jnl
Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection.
CoRR
Zhengjia Wang, Qiang Sheng, Danding Wang, Beizhe Hu, Juan Cao
2025 — conf
Enhancing the Comprehensibility of Text Explanations via Unsupervised Concept Discovery.
ACL (Findings)
Yifan Sun, Danding Wang, Qiang Sheng, Juan Cao, Jintao Li
2025 J jnl
Enhancing the Comprehensibility of Text Explanations via Unsupervised Concept Discovery.
CoRR
Yifan Sun, Danding Wang, Qiang Sheng, Juan Cao, Jintao Li
2025 J jnl
Exploiting user comments for early detection of fake news prior to users' commenting.
Frontiers Comput. Sci.
Qiong Nan, Qiang Sheng, Juan Cao, Yongchun Zhu, Danding Wang, Guang Yang, Jintao Li
2025 J jnl
Exploring news intent and its application: A theory-driven approach.
Inf. Process. Manag.
Zhengjia Wang, Danding Wang, Qiang Sheng, Juan Cao, Siyuan Ma, Haonan Cheng
2025 — conf
Forewarned is Forearmed: Pre-Synthesizing Jailbreak-like Instructions to Enhance LLM Safety Guardrail to Potential Attacks.
EMNLP (Findings)
Sheng Liu, Qiang Sheng, Danding Wang, Yang Liu, Guang Yang, Juan Cao
2025 J jnl
Forewarned is Forearmed: Pre-Synthesizing Jailbreak-like Instructions to Enhance LLM Safety Guardrail to Potential Attacks.
CoRR
Sheng Liu, Qiang Sheng, Danding Wang, Yang Li, Guang Yang, Juan Cao
2025 A* conf
LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation.
SIGIR
Beizhe Hu, Qiang Sheng, Juan Cao, Yang Li, Danding Wang
2025 J jnl
LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation.
CoRR
Beizhe Hu, Qiang Sheng, Juan Cao, Yang Li, Danding Wang
2025 J jnl
Model Synthesis for Zero-Shot Model Attribution.
IEEE Trans. Multim.
Tianyun Yang, Danding Wang, Juan Cao, Chang Xu
2025 J jnl
Reasoning About the Unsaid: Misinformation Detection with Omission-Aware Graph Inference.
CoRR
Zhengjia Wang, Danding Wang, Qiang Sheng, Jiaying Wu, Juan Cao
2025 A* conf
The Staircase of Ethics: Probing LLM Value Priorities through Multi-Step Induction to Complex Moral Dilemmas.
EMNLP
Ya Wu, Qiang Sheng, Danding Wang, Guang Yang, Yifan Sun, Zhengjia Wang, Yuyan Bu, Juan Cao
2025 J jnl
The Staircase of Ethics: Probing LLM Value Priorities through Multi-Step Induction to Complex Moral Dilemmas.
CoRR
Ya Wu, Qiang Sheng, Danding Wang, Guang Yang, Yifan Sun, Zhengjia Wang, Yuyan Bu, Juan Cao
2024 A* conf
Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection.
AAAI
Beizhe Hu, Qiang Sheng, Juan Cao, Yuhui Shi, Yang Li, Danding Wang, Peng Qi
2024 A* conf
FakingRecipe: Detecting Fake News on Short Video Platforms from the Perspective of Creative Process.
ACM Multimedia
Yuyan Bu, Qiang Sheng, Juan Cao, Peng Qi, Danding Wang, Jintao Li
2024 J jnl
FakingRecipe: Detecting Fake News on Short Video Platforms from the Perspective of Creative Process.
CoRR
Yuyan Bu, Qiang Sheng, Juan Cao, Peng Qi, Danding Wang, Jintao Li
2024 A conf
Let Silence Speak: Enhancing Fake News Detection with Generated Comments from Large Language Models.
CIKM
Qiong Nan, Qiang Sheng, Juan Cao, Beizhe Hu, Danding Wang, Jintao Li
2024 J jnl
Let Silence Speak: Enhancing Fake News Detection with Generated Comments from Large Language Models.
CoRR
Qiong Nan, Qiang Sheng, Juan Cao, Beizhe Hu, Danding Wang, Jintao Li
2024 A* conf
Rethinking Image Editing Detection in the Era of Generative AI Revolution.
ACM Multimedia
Zhihao Sun, Haipeng Fang, Juan Cao, Xinying Zhao, Danding Wang
2024 A* conf
Ten Words Only Still Help: Improving Black-Box AI-Generated Text Detection via Proxy-Guided Efficient Re-Sampling.
IJCAI
Yuhui Shi, Qiang Sheng, Juan Cao, Hao Mi, Beizhe Hu, Danding Wang
2024 J jnl
Ten Words Only Still Help: Improving Black-Box AI-Generated Text Detection via Proxy-Guided Efficient Re-Sampling.
CoRR
Yuhui Shi, Qiang Sheng, Juan Cao, Hao Mi, Beizhe Hu, Danding Wang
2024 A conf
Topology-preserving Adversarial Training for Alleviating Natural Accuracy Degradation.
BMVC
Xiaoyue Mi, Fan Tang, Yepeng Weng, Danding Wang, Juan Cao, Sheng Tang, Peng Li, Yang Liu
2023 J jnl
Adversarial Robust Memory-Based Continual Learner.
CoRR
Xiaoyue Mi, Fan Tang, Zonghan Yang, Danding Wang, Juan Cao, Peng Li, Yang Liu
2023 J jnl
Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection.
CoRR
Beizhe Hu, Qiang Sheng, Juan Cao, Yuhui Shi, Yang Li, Danding Wang, Peng Qi
2023 J jnl
Bias oriented unbiased data augmentation for cross-bias representation learning.
Multim. Syst.
Lei Li, Fan Tang, Juan Cao, Xirong Li, Danding Wang
2023 A* conf
Combating Online Misinformation Videos: Characterization, Detection, and Future Directions.
ACM Multimedia
Yuyan Bu, Qiang Sheng, Juan Cao, Peng Qi, Danding Wang, Jintao Li
2023 A* conf
ERASER: AdvERsArial Sensitive Element Remover for Image Privacy Preservation.
AAAI
Guang Yang, Juan Cao, Danding Wang, Peng Qi, Jintao Li
2023 J jnl
Exploiting User Comments for Early Detection of Fake News Prior to Users' Commenting.
CoRR
Qiong Nan, Qiang Sheng, Juan Cao, Yongchun Zhu, Danding Wang, Guang Yang, Jintao Li, Kai Shu
2023 A* conf
FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms.
AAAI
Peng Qi, Yuyan Bu, Juan Cao, Wei Ji, Ruihao Shui, Junbin Xiao, Danding Wang, Tat-Seng Chua
2023 J jnl
Fingerprints of Generative Models in the Frequency Domain.
CoRR
Tianyun Yang, Juan Cao, Danding Wang, Chang Xu
2023 — conf
Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection.
ACL (industry)
Beizhe Hu, Qiang Sheng, Juan Cao, Yongchun Zhu, Danding Wang, Zhengjia Wang, Zhiwei Jin
2023 J jnl
Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection.
CoRR
Beizhe Hu, Qiang Sheng, Juan Cao, Yongchun Zhu, Danding Wang, Zhengjia Wang, Zhiwei Jin
2023 J jnl
Online Misinformation Video Detection: A Survey.
CoRR
Yuyan Bu, Qiang Sheng, Juan Cao, Peng Qi, Danding Wang, Jintao Li
2023 A* conf
Progressive Open Space Expansion for Open-Set Model Attribution.
CVPR
Tianyun Yang, Danding Wang, Fan Tang, Xinying Zhao, Juan Cao, Sheng Tang
2023 J jnl
Progressive Open Space Expansion for Open-Set Model Attribution.
CoRR
Tianyun Yang, Danding Wang, Fan Tang, Xinying Zhao, Juan Cao, Sheng Tang
2023 J jnl
Rethinking Image Editing Detection in the Era of Generative AI Revolution.
CoRR
Zhihao Sun, Haipeng Fang, Xinying Zhao, Danding Wang, Juan Cao
2023 A* conf
SAFL-Net: Semantic-Agnostic Feature Learning Network with Auxiliary Plugins for Image Manipulation Detection.
ICCV
Zhihao Sun, Haoran Jiang, Danding Wang, Xirong Li, Juan Cao
2023 J jnl
Topology-Preserving Adversarial Training.
CoRR
Xiaoyue Mi, Fan Tang, Yepeng Weng, Danding Wang, Juan Cao, Sheng Tang, Peng Li, Yang Liu
2023 J jnl
Understanding News Creation Intents: Frame, Dataset, and Method.
CoRR
Zhengjia Wang, Danding Wang, Qiang Sheng, Juan Cao, Silong Su, Yifan Sun, Beizhe Hu, Siyuan Ma
2023 — conf
Workshop on Understanding and Mitigating Cognitive Biases in Human-AI Collaboration.
CSCW Companion
Nattapat Boonprakong, Gaole He, Ujwal Gadiraju, Niels van Berkel, Danding Wang, Si Chen, Jiqun Liu, Benjamin Tag, Jorge Gonçalves, Tilman Dingler
2022 J jnl
FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms.
CoRR
Peng Qi, Yuyan Bu, Juan Cao, Wei Ji, Ruihao Shui, Junbin Xiao, Danding Wang, Tat-Seng Chua
2022 A* conf
Generalizing to the Future: Mitigating Entity Bias in Fake News Detection.
SIGIR
Yongchun Zhu, Qiang Sheng, Juan Cao, Shuokai Li, Danding Wang, Fuzhen Zhuang
2022 J jnl
Generalizing to the Future: Mitigating Entity Bias in Fake News Detection.
CoRR
Yongchun Zhu, Qiang Sheng, Juan Cao, Shuokai Li, Danding Wang, Fuzhen Zhuang
2022 B conf
Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer.
COLING
Qiong Nan, Danding Wang, Yongchun Zhu, Qiang Sheng, Yuhui Shi, Juan Cao, Jintao Li
2022 J jnl
Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer.
CoRR
Qiong Nan, Danding Wang, Yongchun Zhu, Qiang Sheng, Yuhui Shi, Juan Cao, Jintao Li
2022 — conf
Zoom Out and Observe: News Environment Perception for Fake News Detection.
ACL (1)
Qiang Sheng, Juan Cao, Xueyao Zhang, Rundong Li, Danding Wang, Yongchun Zhu
2022 J jnl
Zoom Out and Observe: News Environment Perception for Fake News Detection.
CoRR
Qiang Sheng, Juan Cao, Xueyao Zhang, Rundong Li, Danding Wang, Yongchun Zhu
2021 A* conf
MERITS: Medication Recommendation for Chronic Disease with Irregular Time-Series.
ICDM
Shuai Zhang, Jianxin Li, Haoyi Zhou, Qishan Zhu, Shanghang Zhang, Danding Wang
2021 J jnl
Show or Suppress? Managing Input Uncertainty in Machine Learning Model Explanations.
CoRR
Danding Wang, Wencan Zhang, Brian Y. Lim
2021 J jnl
Show or suppress? Managing input uncertainty in machine learning model explanations.
Artif. Intell.
Danding Wang, Wencan Zhang, Brian Y. Lim
2019 A* conf
Designing Theory-Driven User-Centric Explainable AI.
CHI
Danding Wang, Qian Yang, Ashraf M. Abdul, Brian Y. Lim
2019 — conf
Why these Explanations? Selecting Intelligibility Types for Explanation Goals.
IUI Workshops
Brian Y. Lim, Qian Yang, Ashraf M. Abdul, Danding Wang
2018 — conf
Interpreting Intelligibility under Uncertain Data Imputation.
IUI Workshops
Brian Y. Lim, Danding Wang, Tze Ping Loh, Kee Yuan Ngiam
2018 A* conf
Trends and Trajectories for Explainable, Accountable and Intelligible Systems: An HCI Research Agenda.
CHI
Ashraf M. Abdul, Jo Vermeulen, Danding Wang, Brian Y. Lim, Mohan S. Kankanhalli