| Adaptive online learning in dynamic environments L Zhang, S Lu, ZH Zhou Advances in Neural Information Processing Systems (NeurIPS), 2018 | 184 | 2018 |
| Sadam: A variant of adam for strongly convex functions G Wang, S Lu, W Tu, L Zhang International Conference on Learning Representations (ICLR), 2020 | 45 | 2020 |
| Optimal Algorithms for Lipschitz Bandits with Heavy-tailed Rewards S Lu, G Wang, Y Hu, L Zhang International Conference on Machine Learning (ICML), 2019 | 43 | 2019 |
| Minimizing Dynamic Regret and Adaptive Regret Simultaneously L Zhang, S Lu, T Yang International Conference on Artificial Intelligence and Statistics (AISTATS), 2020 | 40 | 2020 |
| Revisiting smoothed online learning L Zhang, W Jiang, S Lu, T Yang Advances in Neural Information Processing Systems (NeurIPS), 2021 | 21 | 2021 |
| Adaptivity and Optimality: A Universal Algorithm for Online Convex Optimization G Wang, S Lu, L Zhang Conference on Uncertainty in Artificial Intelligence (UAI), 2019 | 18 | 2019 |
| Multi-Objective Generalized Linear Bandits S Lu, G Wang, Y Hu, L Zhang International Joint Conference on Artificial Intelligence (IJCAI), 2019 | 17 | 2019 |
| Stochastic Graphical Bandits with Adversarial Corruptions S Lu, G Wang, L Zhang AAAI Conference on Artificial Intelligence (AAAI), 2021 | 10 | 2021 |
| Searching Privately by Imperceptible Lying: A Novel Private Hashing Method with Differential Privacy Y Wang, S Lu, L Zhang ACM International Conference on Multimedia (ACM MM), 2020 | 10 | 2020 |
| Adapting to Smoothness: A More Universal Algorithm for Online Convex Optimization G Wang, S Lu, Y Hu, L Zhang AAAI Conference on Artificial Intelligence (AAAI), 2020 | 8 | 2020 |
| Stochastic Bandits with Graph Feedback in Non-Stationary Environments S Lu, Y Hu, L Zhang AAAI Conference on Artificial Intelligence (AAAI), 2021 | 6 | 2021 |
| Non-stationary Continuum-armed Bandits for Online Hyperparameter Optimization S Lu, YH Zhou, JC Shi, W Zhu, Q Yu, QG Chen, Q Da, L Zhang ACM International Conference on Web Search and Data Mining (WSDM), 2022 | 5 | 2022 |
| Non-stationary projection-free online learning with dynamic and adaptive regret guarantees Y Wang, W Yang, W Jiang, S Lu, B Wang, H Tang, Y Wan, L Zhang Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 15671 …, 2024 | 3 | 2024 |
| Adaptive and efficient algorithms for tracking the best expert S Lu, L Zhang arXiv preprint arXiv:1909.02187, 2019 | 3* | 2019 |
| Parrot: Multilingual Visual Instruction Tuning HL Sun, DW Zhou, Y Li, S Lu, C Yi, QG Chen, Z Xu, W Luo, K Zhang, ... arXiv preprint arXiv:2406.02539, 2024 | 1 | 2024 |
| Ovis: Structural Embedding Alignment for Multimodal Large Language Model S Lu, Y Li, QG Chen, Z Xu, W Luo, K Zhang, HJ Ye arXiv preprint arXiv:2405.20797, 2024 | 1 | 2024 |
| Not All Embeddings are Created Equal: Towards Robust Cross-domain Recommendation via Contrastive Learning W Yang, Y Jian, Y Wang, S Lu, L Shen, B Wang, H Tang, L Zhang Proceedings of the ACM on Web Conference 2024, 3195-3206, 2024 | 1 | 2024 |
| Non-stationary dueling bandits for online learning to rank S Lu, Y Miao, P Yang, Y Hu, L Zhang Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint …, 2022 | 1 | 2022 |
| Wings: Learning Multimodal LLMs without Text-only Forgetting YK Zhang, S Lu, Y Li, Y Ma, QG Chen, Z Xu, W Luo, K Zhang, DC Zhan, ... arXiv preprint arXiv:2406.03496, 2024 | | 2024 |
Guanghui WangGeorgia Institute of TechnologyVerified email at gatech.edu
