High dimensional differentially private stochastic optimization with heavy-tailed data L Hu, S Ni, H Xiao, D Wang Proceedings of the 41st ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of …, 2022 | 37 | 2022 |
Hypersonic aerodynamic interference investigation for a two-stage-to-orbit model J Jia, D Fu, Z He, J Yang, L Hu Acta Astronautica 168, 138-145, 2020 | 23 | 2020 |
Differentially private (gradient) expectation maximization algorithm with statistical guarantees D Wang, J Ding, L Hu, Z Xie, M Pan, J Xu arXiv preprint arXiv:2010.13520, 2020 | 13 | 2020 |
Faithful Vision-Language Interpretation via Concept Bottleneck Models S Lai, L Hu, J Wang, L Berti-Equille, D Wang The Twelfth International Conference on Learning Representations, 2023 | 12 | 2023 |
Differentially private natural language models: Recent advances and future directions L Hu, I Habernal, L Shen, D Wang arXiv preprint arXiv:2301.09112, 2023 | 12 | 2023 |
MoRAL: MoE Augmented LoRA for LLMs' Lifelong Learning S Yang, MA Ali, CL Wang, L Hu, D Wang arXiv preprint arXiv:2402.11260, 2024 | 11 | 2024 |
Faster rates of private stochastic convex optimization J Su, L Hu, D Wang International Conference on Algorithmic Learning Theory, 995-1002, 2022 | 11 | 2022 |
SEAT: stable and explainable attention L Hu, Y Liu, N Liu, M Huai, L Sun, D Wang Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 12907 …, 2023 | 9 | 2023 |
Estimating smooth GLM in non-interactive local differential privacy model with public unlabeled data D Wang, L Hu, H Zhang, M Gaboardi, J Xu arXiv preprint arXiv:1910.00482, 2019 | 9 | 2019 |
Human-AI Interactions in the Communication Era: Autophagy Makes Large Models Achieving Local Optima S Yang, L Hu, L Yu, MA Ali, D Wang arXiv preprint arXiv:2402.11271, 2024 | 7 | 2024 |
Privacy-preserving Sparse Generalized Eigenvalue Problem L Hu, Z Xiang, J Liu, D Wang International Conference on Artificial Intelligence and Statistics, 5052-5062, 2023 | 6 | 2023 |
Generalized linear models in non-interactive local differential privacy with public data D Wang, L Hu, H Zhang, M Gaboardi, J Xu Journal of Machine Learning Research 24 (132), 1-57, 2023 | 6 | 2023 |
Improving Faithfulness for Vision Transformers L Hu, Y Liu, N Liu, M Huai, L Sun, D Wang arXiv preprint arXiv:2311.17983, 2023 | 3 | 2023 |
Prompt-saw: Leveraging relation-aware graphs for textual prompt compression MA Ali, Z Li, S Yang, K Cheng, Y Cao, T Huang, L Hu, L Yu, D Wang arXiv preprint arXiv:2404.00489, 2024 | 2 | 2024 |
Multi-hop question answering under temporal knowledge editing K Cheng, G Lin, H Fei, L Yu, MA Ali, L Hu, D Wang arXiv preprint arXiv:2404.00492, 2024 | 2 | 2024 |
Dialectical alignment: Resolving the tension of 3h and security threats of llms S Yang, J Su, H Jiang, M Li, K Cheng, MA Ali, L Hu, D Wang arXiv preprint arXiv:2404.00486, 2024 | 2 | 2024 |
Fair Text-to-Image Diffusion via Fair Mapping J Li, L Hu, J Zhang, T Zheng, H Zhang, D Wang arXiv preprint arXiv:2311.17695, 2023 | 2 | 2023 |
Text Guided Image Editing with Automatic Concept Locating and Forgetting J Li, L Hu, Z He, J Zhang, T Zheng, D Wang arXiv preprint arXiv:2405.19708, 2024 | | 2024 |
Leveraging Logical Rules in Knowledge Editing: A Cherry on the Top K Cheng, MA Ali, S Yang, G Ling, Y Zhai, H Fei, K Xu, L Yu, L Hu, D Wang arXiv preprint arXiv:2405.15452, 2024 | | 2024 |
Editable Concept Bottleneck Models L Hu, C Ren, Z Hu, CL Wang, D Wang arXiv preprint arXiv:2405.15476, 2024 | | 2024 |