| 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 | 696 | 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 | 583 | 2019 |
| Why these explanations? Selecting intelligibility types for explanation goals. BY Lim, Q Yang, AM Abdul, D Wang IUI Workshops, 2019 | 41 | 2019 |
| 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 | 13 | 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 | 13 | 2021 |
| 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 | 11 | 2022 |
| 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 | 3 | 2021 |
| 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 | 2 | 2022 |
| 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 | 2 | 2022 |
| Online misinformation video detection: a survey Y Bu, Q Sheng, J Cao, P Qi, D Wang, J Li arXiv preprint arXiv:2302.03242, 2023 | 1 | 2023 |
| Interpreting Intelligibility under Uncertain Data Imputation. BY Lim, D Wang, TP Loh, KY Ngiam IUI Workshops, 2018 | 1 | 2018 |
| Bias oriented unbiased data augmentation for cross-bias representation learning L Li, F Tang, J Cao, X Li, D Wang Multimedia Systems 29 (2), 725-738, 2023 | | 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 | | 2023 |
| The Curious Case of Providing Intelligibility for Smart Speakers J Vermeulen, BY Lim, M Avdic, D Wang, A Abdul The 2019 ACM CHI Conference on Human Factors in Computing Systems (CHI'19), 2019 | | 2019 |
| Supplementary Material for Progressive Open Space Expansion for Open-Set Model Attribution T Yang, D Wang, F Tang, X Zhao, J Cao, S Tang | | |
| Flexible Relation Preserving for Adversarial Training X Mi, F Tang, Y Weng, D Wang, P Li, Y Liu, Z Yang, S Tang, J Cao | | |
