Danding Wang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 36

Top Topics

Temporal Trends

Top Venues

Publications

Beizhe Hu, Qiang Sheng, Juan Cao, Yuhui Shi, Yang Li, Danding Wang, Peng Qi
Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection. AAAI (2024)
Qiong Nan, Qiang Sheng, Juan Cao, Beizhe Hu, Danding Wang, Jintao Li
Let Silence Speak: Enhancing Fake News Detection with Generated Comments from Large Language Models. CoRR (2024)
Yuhui Shi, Qiang Sheng, Juan Cao, Hao Mi, Beizhe Hu, Danding Wang
Ten Words Only Still Help: Improving Black-Box AI-Generated Text Detection via Proxy-Guided Efficient Re-Sampling. CoRR (2024)
Yuyan Bu, Qiang Sheng, Juan Cao, Peng Qi, Danding Wang, Jintao Li
FakingRecipe: Detecting Fake News on Short Video Platforms from the Perspective of Creative Process. CoRR (2024)
Zhihao Sun, Haipeng Fang, Xinying Zhao, Danding Wang, Juan Cao
Rethinking Image Editing Detection in the Era of Generative AI Revolution. CoRR (2023)
Xiaoyue Mi, Fan Tang, Yepeng Weng, Danding Wang, Juan Cao, Sheng Tang, Peng Li, Yang Liu
Topology-Preserving Adversarial Training. CoRR (2023)
Peng Qi, Yuyan Bu, Juan Cao, Wei Ji, Ruihao Shui, Junbin Xiao, Danding Wang, Tat-Seng Chua
FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms. AAAI (2023)
Tianyun Yang, Danding Wang, Fan Tang, Xinying Zhao, Juan Cao, Sheng Tang
Progressive Open Space Expansion for Open-Set Model Attribution. CVPR (2023)
Tianyun Yang, Danding Wang, Fan Tang, Xinying Zhao, Juan Cao, Sheng Tang
Progressive Open Space Expansion for Open-Set Model Attribution. CoRR (2023)
Xiaoyue Mi, Fan Tang, Zonghan Yang, Danding Wang, Juan Cao, Peng Li, Yang Liu
Adversarial Robust Memory-Based Continual Learner. CoRR (2023)
Zhihao Sun, Haoran Jiang, Danding Wang, Xirong Li, Juan Cao
SAFL-Net: Semantic-Agnostic Feature Learning Network with Auxiliary Plugins for Image Manipulation Detection. ICCV (2023)
Yuyan Bu, Qiang Sheng, Juan Cao, Peng Qi, Danding Wang, Jintao Li
Combating Online Misinformation Videos: Characterization, Detection, and Future Directions. ACM Multimedia (2023)
Tianyun Yang, Juan Cao, Danding Wang, Chang Xu
Fingerprints of Generative Models in the Frequency Domain. CoRR (2023)
Lei Li, Fan Tang, Juan Cao, Xirong Li, Danding Wang
Bias oriented unbiased data augmentation for cross-bias representation learning. Multim. Syst. 29 (2) (2023)
Beizhe Hu, Qiang Sheng, Juan Cao, Yongchun Zhu, Danding Wang, Zhengjia Wang, Zhiwei Jin
Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection. ACL (industry) (2023)
Qiong Nan, Qiang Sheng, Juan Cao, Yongchun Zhu, Danding Wang, Guang Yang, Jintao Li, Kai Shu
Exploiting User Comments for Early Detection of Fake News Prior to Users' Commenting. CoRR (2023)
Beizhe Hu, Qiang Sheng, Juan Cao, Yongchun Zhu, Danding Wang, Zhengjia Wang, Zhiwei Jin
Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection. CoRR (2023)
Nattapat Boonprakong, Gaole He, Ujwal Gadiraju, Niels van Berkel, Danding Wang, Si Chen, Jiqun Liu, Benjamin Tag, Jorge Gonçalves, Tilman Dingler
Workshop on Understanding and Mitigating Cognitive Biases in Human-AI Collaboration. CSCW Companion (2023)
Guang Yang, Juan Cao, Danding Wang, Peng Qi, Jintao Li
ERASER: AdvERsArial Sensitive Element Remover for Image Privacy Preservation. AAAI (2023)
Beizhe Hu, Qiang Sheng, Juan Cao, Yuhui Shi, Yang Li, Danding Wang, Peng Qi
Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection. CoRR (2023)
Yuyan Bu, Qiang Sheng, Juan Cao, Peng Qi, Danding Wang, Jintao Li
Online Misinformation Video Detection: A Survey. CoRR (2023)
Zhengjia Wang, Danding Wang, Qiang Sheng, Juan Cao, Silong Su, Yifan Sun, Beizhe Hu, Siyuan Ma
Understanding News Creation Intents: Frame, Dataset, and Method. CoRR (2023)
Qiong Nan, Danding Wang, Yongchun Zhu, Qiang Sheng, Yuhui Shi, Juan Cao, Jintao Li
Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer. CoRR (2022)
Qiang Sheng, Juan Cao, Xueyao Zhang, Rundong Li, Danding Wang, Yongchun Zhu
Zoom Out and Observe: News Environment Perception for Fake News Detection. CoRR (2022)
Yongchun Zhu, Qiang Sheng, Juan Cao, Shuokai Li, Danding Wang, Fuzhen Zhuang
Generalizing to the Future: Mitigating Entity Bias in Fake News Detection. CoRR (2022)
Yongchun Zhu, Qiang Sheng, Juan Cao, Shuokai Li, Danding Wang, Fuzhen Zhuang
Generalizing to the Future: Mitigating Entity Bias in Fake News Detection. SIGIR (2022)
Qiang Sheng, Juan Cao, Xueyao Zhang, Rundong Li, Danding Wang, Yongchun Zhu
Zoom Out and Observe: News Environment Perception for Fake News Detection. ACL (1) (2022)
Qiong Nan, Danding Wang, Yongchun Zhu, Qiang Sheng, Yuhui Shi, Juan Cao, Jintao Li
Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer. COLING (2022)
Peng Qi, Yuyan Bu, Juan Cao, Wei Ji, Ruihao Shui, Junbin Xiao, Danding Wang, Tat-Seng Chua
FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms. CoRR (2022)
Danding Wang, Wencan Zhang, Brian Y. Lim
Show or Suppress? Managing Input Uncertainty in Machine Learning Model Explanations. CoRR (2021)
Shuai Zhang, Jianxin Li, Haoyi Zhou, Qishan Zhu, Shanghang Zhang, Danding Wang
MERITS: Medication Recommendation for Chronic Disease with Irregular Time-Series. ICDM (2021)
Danding Wang, Wencan Zhang, Brian Y. Lim
Show or suppress? Managing input uncertainty in machine learning model explanations. Artif. Intell. 294 (2021)
Brian Y. Lim, Qian Yang, Ashraf M. Abdul, Danding Wang
Why these Explanations? Selecting Intelligibility Types for Explanation Goals. IUI Workshops (2019)
Danding Wang, Qian Yang, Ashraf M. Abdul, Brian Y. Lim
Designing Theory-Driven User-Centric Explainable AI. CHI (2019)
Ashraf M. Abdul, Jo Vermeulen, Danding Wang, Brian Y. Lim, Mohan S. Kankanhalli
Trends and Trajectories for Explainable, Accountable and Intelligible Systems: An HCI Research Agenda. CHI (2018)
Brian Y. Lim, Danding Wang, Tze Ping Loh, Kee Yuan Ngiam
Interpreting Intelligibility under Uncertain Data Imputation. IUI Workshops (2018)