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2020 – today
- 2024
[c17]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: 22105-22113- [c16]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. IJCAI 2024: 494-502 - [i18]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 abs/2402.09199 (2024) - [i17]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 abs/2405.16631 (2024) - [i16]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 abs/2407.16670 (2024) - 2023
- [j2]Lei Li, Fan Tang, Juan Cao, Xirong Li, Danding Wang:
Bias oriented unbiased data augmentation for cross-bias representation learning. Multim. Syst. 29(2): 725-738 (2023) - [c15]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: 14444-14452 - [c14]Guang Yang, Juan Cao, Danding Wang, Peng Qi, Jintao Li:
ERASER: AdvERsArial Sensitive Element Remover for Image Privacy Preservation. AAAI 2023: 14584-14592 - [c13]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: 116-125 - [c12]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: 512-517 - [c11]Tianyun Yang, Danding Wang, Fan Tang, Xinying Zhao, Juan Cao, Sheng Tang:
Progressive Open Space Expansion for Open-Set Model Attribution. CVPR 2023: 15856-15865 - [c10]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: 22367-22376 - [c9]Yuyan Bu, Qiang Sheng, Juan Cao, Peng Qi, Danding Wang, Jintao Li:
Combating Online Misinformation Videos: Characterization, Detection, and Future Directions. ACM Multimedia 2023: 8770-8780 - [i15]Yuyan Bu, Qiang Sheng, Juan Cao, Peng Qi, Danding Wang, Jintao Li:
Online Misinformation Video Detection: A Survey. CoRR abs/2302.03242 (2023) - [i14]Tianyun Yang, Danding Wang, Fan Tang, Xinying Zhao, Juan Cao, Sheng Tang:
Progressive Open Space Expansion for Open-Set Model Attribution. CoRR abs/2303.06877 (2023) - [i13]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 abs/2306.14728 (2023) - [i12]Tianyun Yang, Juan Cao, Danding Wang, Chang Xu:
Fingerprints of Generative Models in the Frequency Domain. CoRR abs/2307.15977 (2023) - [i11]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 abs/2309.12247 (2023) - [i10]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 abs/2310.10429 (2023) - [i9]Xiaoyue Mi, Fan Tang, Yepeng Weng, Danding Wang, Juan Cao, Sheng Tang, Peng Li, Yang Liu:
Topology-Preserving Adversarial Training. CoRR abs/2311.17607 (2023) - [i8]Xiaoyue Mi, Fan Tang, Zonghan Yang, Danding Wang, Juan Cao, Peng Li, Yang Liu:
Adversarial Robust Memory-Based Continual Learner. CoRR abs/2311.17608 (2023) - [i7]Zhihao Sun, Haipeng Fang, Xinying Zhao, Danding Wang, Juan Cao:
Rethinking Image Editing Detection in the Era of Generative AI Revolution. CoRR abs/2311.17953 (2023) - [i6]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 abs/2312.16490 (2023) - 2022
- [c8]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: 4543-4556 - [c7]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: 2834-2848 - [c6]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: 2120-2125 - [i5]Qiang Sheng, Juan Cao, Xueyao Zhang, Rundong Li, Danding Wang, Yongchun Zhu:
Zoom Out and Observe: News Environment Perception for Fake News Detection. CoRR abs/2203.10885 (2022) - [i4]Yongchun Zhu, Qiang Sheng, Juan Cao, Shuokai Li, Danding Wang, Fuzhen Zhuang:
Generalizing to the Future: Mitigating Entity Bias in Fake News Detection. CoRR abs/2204.09484 (2022) - [i3]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 abs/2209.08902 (2022) - [i2]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 abs/2211.10973 (2022) - 2021
- [j1]Danding Wang, Wencan Zhang, Brian Y. Lim:
Show or suppress? Managing input uncertainty in machine learning model explanations. Artif. Intell. 294: 103456 (2021) - [c5]Shuai Zhang, Jianxin Li, Haoyi Zhou, Qishan Zhu, Shanghang Zhang, Danding Wang:
MERITS: Medication Recommendation for Chronic Disease with Irregular Time-Series. ICDM 2021: 1481-1486 - [i1]Danding Wang, Wencan Zhang, Brian Y. Lim:
Show or Suppress? Managing Input Uncertainty in Machine Learning Model Explanations. CoRR abs/2101.09498 (2021)
2010 – 2019
- 2019
- [c4]Danding Wang, Qian Yang, Ashraf M. Abdul, Brian Y. Lim:
Designing Theory-Driven User-Centric Explainable AI. CHI 2019: 601 - [c3]Brian Y. Lim, Qian Yang, Ashraf M. Abdul, Danding Wang:
Why these Explanations? Selecting Intelligibility Types for Explanation Goals. IUI Workshops 2019 - 2018
- [c2]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: 582 - [c1]Brian Y. Lim, Danding Wang, Tze Ping Loh, Kee Yuan Ngiam:
Interpreting Intelligibility under Uncertain Data Imputation. IUI Workshops 2018
Coauthor Index
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