| Trends and trajectories for explainable, accountable and intelligible systems: An hci research agenda A Abdul, J Vermeulen, D Wang, BY Lim, M Kankanhalli Proceedings of the 2018 CHI conference on human factors in computing systems …, 2018 | 909 | 2018 |
| Designing theory-driven user-centric explainable AI D Wang, Q Yang, A Abdul, BY Lim Proceedings of the 2019 CHI conference on human factors in computing systems …, 2019 | 889 | 2019 |
| Generalizing to the future: Mitigating entity bias in fake news detection Y Zhu, Q Sheng, J Cao, S Li, D Wang, F Zhuang Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 75 | 2022 |
| Zoom Out and Observe: News Environment Perception for Fake News Detection Q Sheng, J Cao, X Zhang, R Li, D Wang, Y Zhu 60th Annual Meeting of the Association for Computational Linguistics, 2022 | 64 | 2022 |
| Why these explanations? Selecting intelligibility types for explanation goals. BY Lim, Q Yang, AM Abdul, D Wang IUI workshops, 2019 | 62* | 2019 |
| Bad actor, good advisor: Exploring the role of large language models in fake news detection B Hu, Q Sheng, J Cao, Y Shi, Y Li, D Wang, P Qi Proceedings of the AAAI Conference on Artificial Intelligence 38 (20), 22105 …, 2024 | 54 | 2024 |
| FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms P Qi, Y Bu, J Cao, W Ji, R Shui, J Xiao, D Wang, TS Chua the 37th AAAI Conference on Artificial Intelligence, 2022 | 29 | 2022 |
| Show or suppress? Managing input uncertainty in machine learning model explanations D Wang, W Zhang, BY Lim Artificial Intelligence 294 (Special Issue on Explainable AI), 103456, 2021 | 28 | 2021 |
| Improving fake news detection of influential domain via domain-and instance-level transfer Q Nan, D Wang, Y Zhu, Q Sheng, Y Shi, J Cao, J Li arXiv preprint arXiv:2209.08902, 2022 | 25 | 2022 |
| Learn over past, evolve for future: Forecasting temporal trends for fake news detection B Hu, Q Sheng, J Cao, Y Zhu, D Wang, Z Wang, Z Jin arXiv preprint arXiv:2306.14728, 2023 | 17 | 2023 |
| Combating online misinformation videos: Characterization, detection, and future directions Y Bu, Q Sheng, J Cao, P Qi, D Wang, J Li Proceedings of the 31st ACM International Conference on Multimedia, 8770-8780, 2023 | 14 | 2023 |
| Safl-net: Semantic-agnostic feature learning network with auxiliary plugins for image manipulation detection Z Sun, H Jiang, D Wang, X Li, J Cao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 13 | 2023 |
| Progressive Open Space Expansion for Open-Set Model Attribution T Yang, D Wang, F Tang, X Zhao, J Cao, S Tang IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2023, 2023 | 11 | 2023 |
| Merits: medication recommendation for chronic disease with irregular time-series S Zhang, J Li, H Zhou, Q Zhu, S Zhang, D Wang 2021 IEEE international conference on data mining (ICDM), 1481-1486, 2021 | 8 | 2021 |
| Adversarial Robust Memory-Based Continual Learner X Mi, F Tang, Z Yang, D Wang, J Cao, P Li, Y Liu arXiv preprint arXiv:2311.17608, 2023 | 3 | 2023 |
| Fingerprints of generative models in the frequency domain T Yang, J Cao, D Wang, C Xu arXiv preprint arXiv:2307.15977, 2023 | 3 | 2023 |
| Exploiting User Comments for Early Detection of Fake News Prior to Users' Commenting Q Nan, Q Sheng, J Cao, Y Zhu, D Wang, G Yang, J Li, K Shu arXiv preprint arXiv:2310.10429, 2023 | 2 | 2023 |
| Online misinformation video detection: a survey Y Bu, Q Sheng, J Cao, P Qi, D Wang, J Li arXiv preprint arXiv:2302.03242, 2023 | 2 | 2023 |
| FakingRecipe: Detecting Fake News on Short Video Platforms from the Perspective of Creative Process Y Bu, Q Sheng, J Cao, P Qi, D Wang, J Li arXiv preprint arXiv:2407.16670, 2024 | 1 | 2024 |
| Let Silence Speak: Enhancing Fake News Detection with Generated Comments from Large Language Models Q Nan, Q Sheng, J Cao, B Hu, D Wang, J Li arXiv preprint arXiv:2405.16631, 2024 | 1 | 2024 |
