Yaoliang Yu
University of Waterloo
H-index: 32
North America-Canada
Top articles of Yaoliang Yu
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Functional Renyi Differential Privacy for Generative Modeling | Advances in Neural Information Processing Systems | Dihong Jiang Sun Sun Yaoliang Yu | 2024/2/13 |
Structure Preserving Diffusion Models | arXiv preprint arXiv:2402.19369 | Haoye Lu Spencer Szabados Yaoliang Yu | 2024/2/29 |
Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors | arXiv preprint arXiv:2402.12626 | Yiwei Lu Matthew YR Yang Gautam Kamath Yaoliang Yu | 2024/2/20 |
-MICL: Understanding and Generalizing InfoNCE-based Contrastive Learning | arXiv preprint arXiv:2402.10150 | Yiwei Lu Guojun Zhang Sun Sun Hongyu Guo Yaoliang Yu | 2024/2/15 |
Batchnorm Allows Unsupervised Radial Attacks | Advances in Neural Information Processing Systems | Amur Ghose Apurv Gupta Yaoliang Yu Pascal Poupart | 2024/2/13 |
Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers | Advances in Neural Information Processing Systems | Yiwei Lu Yaoliang Yu Xinlin Li Vahid Partovi Nia | 2024/2/13 |
Disguised Copyright Infringement of Latent Diffusion Model | arXiv preprint arXiv:2404.06737 | Yiwei Lu Matthew YR Yang Zuoqiu Liu Gautam Kamath Yaoliang Yu | 2024/4/10 |
Exploring the limits of indiscriminate data poisoning attacks | arXiv e-prints | Yiwei Lu Gautam Kamath Yaoliang Yu | 2023/3 |
Olala: Object-level active learning based layout annotation | EMNLP Computational Social Science Workshop (Forthcoming) | Zejiang Shen Jian Zhao Weining Li Yaoliang Yu Melissa Dell | 2023 |
Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning | Saber Malekmohammadi Yaoliang Yu YANG CAO | 2023/10/13 | |
MT-MAG: Accurate and interpretable machine learning for complete or partial taxonomic assignments of metagenomeassembled genomes | PloS one | Wanxin Li Lila Kari Yaoliang Yu Laura A Hug | 2023/8/18 |
Cm-gan: Stabilizing gan training with consistency models | Haoye Lu Yiwei Lu Dihong Jiang Spencer Ryan Szabados Sun Sun | 2023 | |
Operator Selection and Ordering in a Pipeline Approach to Efficiency Optimizations for Transformers | Ji Xin Raphael Tang Zhiying Jiang Yaoliang Yu Jimmy Lin | 2023/7 | |
Proportional fairness in federated learning | Transactions on Machine Learning Research | Guojun Zhang Saber Malekmohammadi Xi Chen Yaoliang Yu | 2023 |
Semi-Variance Reduction for Fair Federated Learning | Saber Malekmohammadi Guojun Zhang Yaoliang Yu | 2022/9/29 | |
Optimality and stability in non-convex smooth games | Journal of Machine Learning Research | Guojun Zhang Pascal Poupart Yaoliang Yu | 2022 |
Mitigating data heterogeneity in federated learning with data augmentation | arXiv preprint arXiv:2206.09979 | Artur Back de Luca Guojun Zhang Xi Chen Yaoliang Yu | 2022/6/20 |
Federated learning meets multi-objective optimization | IEEE Transactions on Network Science and Engineering | Zeou Hu Kiarash Shaloudegi Guojun Zhang Yaoliang Yu | 2022/4/22 |
Geometric attacks on batch normalization | Amur Ghose Apurv Gupta Yaoliang Yu Pascal Poupart | 2022/11/18 | |
Indiscriminate data poisoning attacks on neural networks | Transaction on Machine Learning Research | Yiwei Lu Gautam Kamath Yaoliang Yu | 2022 |
Co-Authors
