Graph neural network-based anomaly detection in multivariate time series A Deng, B Hooi Proceedings of the AAAI conference on artificial intelligence 35 (5), 4027-4035, 2021 | 661 | 2021 |
Proximity-informed calibration for deep neural networks M Xiong, A Deng, PWW Koh, J Wu, S Li, J Xu, B Hooi Advances in Neural Information Processing Systems 36, 2024 | 6 | 2024 |
Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood Aggregation M Xiong, S Li, W Feng, A Deng, J Zhang, B Hooi TMLR, 2022 | 5 | 2022 |
Prompt-and-align: prompt-based social alignment for few-shot fake news detection J Wu, S Li, A Deng, M Xiong, B Hooi Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 3 | 2023 |
CADET: Calibrated Anomaly Detection for Mitigating Hardness Bias A Deng, A Goodge, LY Ang, B Hooi IJCAI 2022, 2022 | 3 | 2022 |
Probabilistic knowledge distillation of face ensembles J Xu, S Li, A Deng, M Xiong, J Wu, J Wu, S Ding, B Hooi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 2 | 2023 |
Trust, but Verify: Using Self-Supervised Probing to Improve Trustworthiness A Deng, S Li, M Xiong, Z Chen, B Hooi ECCV 2022, 2022 | 2 | 2022 |
Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding A Deng, Z Chen, B Hooi arXiv preprint arXiv:2402.15300, 2024 | 1 | 2024 |
Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement A Deng, M Xiong, B Hooi Proceedings of the 40th International Conference on Machine Learning 202 …, 2023 | 1 | 2023 |