Danding Wang

According to our database, Danding Wang authored at least 26 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

CoRR, 2024

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Bias oriented unbiased data augmentation for cross-bias representation learning.

Lei Li, Fan Tang, Juan Cao, Xirong Li, Danding Wang

Multim. Syst., April, 2023

Understanding News Creation Intents: Frame, Dataset, and Method.

Zhengjia Wang, Danding Wang, Qiang Sheng, Juan Cao, Silong Su, Yifan Sun, Beizhe Hu, Siyuan Ma

CoRR, 2023

Rethinking Image Editing Detection in the Era of Generative AI Revolution.

Zhihao Sun, Haipeng Fang, Xinying Zhao, Danding Wang, Juan Cao

CoRR, 2023

Adversarial Robust Memory-Based Continual Learner.

Xiaoyue Mi, Fan Tang, Zonghan Yang, Danding Wang, Juan Cao, Peng Li, Yang Liu

CoRR, 2023

Topology-Preserving Adversarial Training.

Xiaoyue Mi, Fan Tang, Yepeng Weng, Danding Wang, Juan Cao, Sheng Tang, Peng Li, Yang Liu

CoRR, 2023

Exploiting User Comments for Early Detection of Fake News Prior to Users' Commenting.

Qiong Nan, Qiang Sheng, Juan Cao, Yongchun Zhu, Danding Wang, Guang Yang, Jintao Li, Kai Shu

CoRR, 2023

Fingerprints of Generative Models in the Frequency Domain.

Tianyun Yang, Juan Cao, Danding Wang, Chang Xu

CoRR, 2023

Online Misinformation Video Detection: A Survey.

Yuyan Bu, Qiang Sheng, Juan Cao, Peng Qi, Danding Wang, Jintao Li

CoRR, 2023

Combating Online Misinformation Videos: Characterization, Detection, and Future Directions.

Yuyan Bu, Qiang Sheng, Juan Cao, Peng Qi, Danding Wang, Jintao Li

Proceedings of the 31st ACM International Conference on Multimedia, 2023

SAFL-Net: Semantic-Agnostic Feature Learning Network with Auxiliary Plugins for Image Manipulation Detection.

Zhihao Sun, Haoran Jiang, Danding Wang, Xirong Li, Juan Cao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Progressive Open Space Expansion for Open-Set Model Attribution.

Tianyun Yang, Danding Wang, Fan Tang, Xinying Zhao, Juan Cao, Sheng Tang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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, Jiqun Liu, Benjamin Tag, Jorge Gonçalves, Tilman Dingler

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023

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

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

ERASER: AdvERsArial Sensitive Element Remover for Image Privacy Preservation.

Guang Yang, Juan Cao, Danding Wang, Peng Qi, Jintao Li

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Generalizing to the Future: Mitigating Entity Bias in Fake News Detection.

Yongchun Zhu, Qiang Sheng, Juan Cao, Shuokai Li, Danding Wang, Fuzhen Zhuang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

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

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Zoom Out and Observe: News Environment Perception for Fake News Detection.

Qiang Sheng, Juan Cao, Xueyao Zhang, Rundong Li, Danding Wang, Yongchun Zhu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Show or suppress? Managing input uncertainty in machine learning model explanations.

Danding Wang, Wencan Zhang, Brian Y. Lim

Artif. Intell., 2021

MERITS: Medication Recommendation for Chronic Disease with Irregular Time-Series.

Shuai Zhang, Jianxin Li, Haoyi Zhou, Qishan Zhu, Shanghang Zhang, Danding Wang

Proceedings of the IEEE International Conference on Data Mining, 2021

2019

Why these Explanations? Selecting Intelligibility Types for Explanation Goals.

Brian Y. Lim, Qian Yang, Ashraf M. Abdul, Danding Wang

Proceedings of the Joint Proceedings of the ACM IUI 2019 Workshops co-located with the 24th ACM Conference on Intelligent User Interfaces (ACM IUI 2019), 2019

Designing Theory-Driven User-Centric Explainable AI.

Danding Wang, Qian Yang, Ashraf M. Abdul, Brian Y. Lim

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018

Interpreting Intelligibility under Uncertain Data Imputation.

Brian Y. Lim, Danding Wang, Tze Ping Loh, Kee Yuan Ngiam

Proceedings of the Joint Proceedings of the ACM IUI 2018 Workshops co-located with the 23rd ACM Conference on Intelligent User Interfaces (ACM IUI 2018), 2018

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

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018