| Few-shot scene-adaptive anomaly detection Y Lu, F Yu, MKK Reddy, Y Wang Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 144 | 2020 |
| Future frame prediction using convolutional vrnn for anomaly detection Y Lu, KM Kumar, S shahabeddin Nabavi, Y Wang 2019 16th IEEE International Conference on Advanced Video and Signal Based …, 2019 | 116 | 2019 |
| Structure learning with similarity preserving Z Kang, X Lu, Y Lu, C Peng, W Chen, Z Xu Neural Networks 129, 138-148, 2020 | 41 | 2020 |
| Similarity learning via kernel preserving embedding Z Kang, Y Lu, Y Su, C Li, Z Xu proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4057-4064, 2019 | 37 | 2019 |
| AdaCrowd: Unlabeled scene adaptation for crowd counting MKK Reddy, M Rochan, Y Lu, Y Wang IEEE Transactions on Multimedia 24, 1008-1019, 2021 | 24 | 2021 |
| Indiscriminate data poisoning attacks on neural networks Y Lu, G Kamath, Y Yu Transaction on Machine Learning Research, 2022 | 17* | 2022 |
| Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks Y Lu, G Kamath, Y Yu Fortieth International Conference on Machine Learning (ICML 2023), 2023 | 12* | 2023 |
| Cm-gan: Stabilizing gan training with consistency models H Lu, Y Lu, D Jiang, SR Szabados, S Sun, Y Yu ICML 2023 Workshop on Structured Probabilistic Inference {\&} Generative …, 2023 | 6 | 2023 |
| -MICL: Understanding and Generalizing InfoNCE-based Contrastive Learning Y Lu, G Zhang, S Sun, H Guo, Y Yu Transaction on Machine Learning Research, 2024 | 4 | 2024 |
| Homoglyph attack detection with unpaired data Y Lu, MK K, N Mohammed, Y Wang Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 377-382, 2019 | 3 | 2019 |
| Semantic segmentation in compressed videos A Li, Y Lu, Y Wang 2019 IEEE 21st International Workshop on Multimedia Signal Processing (MMSP …, 2019 | 2 | 2019 |
| Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors Y Lu, MYR Yang, G Kamath, Y Yu 2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 327-343, 2024 | 1 | 2024 |
| Anomaly detection in surveillance videos using deep learning Y Lu | 1 | 2020 |
| Machine Unlearning Fails to Remove Data Poisoning Attacks M Pawelczyk, JZ Di, Y Lu, G Kamath, A Sekhari, S Neel arXiv preprint arXiv:2406.17216, 2024 | | 2024 |
| Alignment Calibration: Machine Unlearning for Contrastive Learning under Auditing Y Wang, Y Lu, G Zhang, F Boenisch, A Dziedzic, Y Yu, XS Gao arXiv preprint arXiv:2406.03603, 2024 | | 2024 |
| Disguised Copyright Infringement of Latent Diffusion Models Y Lu, MYR Yang, Z Liu, G Kamath, Y Yu arXiv preprint arXiv:2404.06737, 2024 | | 2024 |
| Understanding neural network binarization with forward and backward proximal quantizers Y Lu, Y Yu, X Li, V Partovi Nia Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| -Mutual Information Contrastive Learning G Zhang, Y Lu, S Sun, H Guo, Y Yu | | |
Yang WangComputer Science, Concordia University在 concordia.ca 的电子邮件经过验证
