| Generating realistic stock market order streams J Li, X Wang, Y Lin, A Sinha, M Wellman Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 727-734, 2020 | 96 | 2020 |
| A fully single loop algorithm for bilevel optimization without hessian inverse J Li, B Gu, H Huang Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7426-7434, 2022 | 74 | 2022 |
| Biadam: Fast adaptive bilevel optimization methods F Huang, J Li, S Gao arXiv preprint arXiv:2106.11396, 2021 | 44 | 2021 |
| Super-adam: faster and universal framework of adaptive gradients F Huang, J Li, H Huang Advances in Neural Information Processing Systems 34, 9074-9085, 2021 | 42 | 2021 |
| Improved bilevel model: Fast and optimal algorithm with theoretical guarantee J Li, B Gu, H Huang arXiv preprint arXiv:2009.00690, 2020 | 38 | 2020 |
| Faster secure data mining via distributed homomorphic encryption J Li, H Huang Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 30 | 2020 |
| Enhanced bilevel optimization via bregman distance F Huang, J Li, S Gao, H Huang Advances in Neural Information Processing Systems 35, 28928-28939, 2022 | 28 | 2022 |
| Local stochastic bilevel optimization with momentum-based variance reduction J Li, F Huang, H Huang arXiv preprint arXiv:2205.01608, 2022 | 26 | 2022 |
| Communication-efficient robust federated learning with noisy labels J Li, J Pei, H Huang Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 24 | 2022 |
| On the convergence of local stochastic compositional gradient descent with momentum H Gao, J Li, H Huang International Conference on Machine Learning, 7017-7035, 2022 | 20 | 2022 |
| Compositional federated learning: Applications in distributionally robust averaging and meta learning F Huang, J Li arXiv preprint arXiv:2106.11264, 2021 | 15 | 2021 |
| On the steerability of large language models toward data-driven personas J Li, C Peris, N Mehrabi, P Goyal, KW Chang, A Galstyan, R Zemel, ... NAACL 2024, 2023 | 14 | 2023 |
| Communication-Efficient Federated Bilevel Optimization with Local and Global Lower Level Problems J Li, F Huang, H Huang Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 13 | 2023 |
| Federated conditional stochastic optimization X Wu, J Sun, Z Hu, J Li, A Zhang, H Huang Advances in Neural Information Processing Systems 36, 5752-5764, 2023 | 12 | 2023 |
| FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings J Li, H Huang FL: Recent Advances and New Challenges (FL-NeurIPS'22), 2022 | 6 | 2022 |
| Device-wise federated network pruning S Gao, J Li, Z Zhang, Y Zhang, W Cai, H Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 4 | 2024 |
| Adaptive federated minimax optimization with lower complexities F Huang, X Wang, J Li, S Chen International Conference on Artificial Intelligence and Statistics, 4663-4671, 2024 | 3 | 2024 |
| FedDA: Faster Adaptive Gradient Methods for Federated Constrained Optimization J Li, F Huang, H Huang The Twelfth International Conference on Learning Representations, 2024 | 3* | 2024 |
| Provably faster algorithms for bilevel optimization via without-replacement sampling J Li, H Huang arXiv preprint arXiv:2411.05868, 2024 | 2 | 2024 |
| Dropout Enhanced Bilevel Training P Yu, J Li, H Huang The Twelfth International Conference on Learning Representations, 2024 | 2 | 2024 |