| Agile and accurate CTR prediction model training for massive-scale online advertising systems Z Xu, D Li, W Zhao, X Shen, T Huang, X Li, P Li Proceedings of the 2021 international conference on management of data, 2404 …, 2021 | 43 | 2021 |
| Toward communication efficient adaptive gradient method X Chen, X Li, P Li Proceedings of the 2020 ACM-IMS on Foundations of Data Science Conference …, 2020 | 36 | 2020 |
| Random projections with asymmetric quantization X Li, P Li Advances in Neural Information Processing Systems 32, 2019 | 28 | 2019 |
| Fedsketch: Communication-efficient and private federated learning via sketching F Haddadpour, B Karimi, P Li, X Li arXiv preprint arXiv:2008.04975, 2020 | 25 | 2020 |
| Re-randomized densification for one permutation hashing and bin-wise consistent weighted sampling P Li, X Li, CH Zhang Advances in Neural Information Processing Systems 32, 15900-15910, 2019 | 19 | 2019 |
| Fast and compact bilinear pooling by shifted random Maclaurin T Yu, X Li, P Li Proceedings of the AAAI Conference on Artificial Intelligence 35 (4), 3243-3251, 2021 | 18 | 2021 |
| Rejection sampling for weighted jaccard similarity revisited X Li, P Li Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4197-4205, 2021 | 16 | 2021 |
| On distributed adaptive optimization with gradient compression X Li, B Karimi, P Li arXiv preprint arXiv:2205.05632, 2022 | 14 | 2022 |
| Asymptotic independence of the sum and maximum of dependent random variables with applications to high-dimensional tests L Feng, T Jiang, X Li, B Liu arXiv preprint arXiv:2205.01638, 2022 | 14 | 2022 |
| On distributed adaptive optimization with gradient compression X Li, B Karimi, P Li International Conference on Learning Representations, 2022 | 14 | 2022 |
| Generalization Error Analysis of Quantized Compressive Learning X Li, P Li Advances in Neural Information Processing Systems 32, 15124-15134, 2019 | 14 | 2019 |
| Improved convergence of differential private sgd with gradient clipping H Fang, X Li, C Fan, P Li The Eleventh International Conference on Learning Representations, 2022 | 13 | 2022 |
| Consistent sampling through extremal process P Li, X Li, G Samorodnitsky, W Zhao Proceedings of the Web Conference 2021, 1317-1327, 2021 | 12 | 2021 |
| Quantization algorithms for random fourier features X Li, P Li International Conference on Machine Learning, 6369-6380, 2021 | 11 | 2021 |
| One-sketch-for-all: Non-linear random features from compressed linear measurements X Li, P Li International Conference on Artificial Intelligence and Statistics, 2647-2655, 2021 | 10 | 2021 |
| PaddleBox: Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising W Zhao, X Jiao, M Hu, X Li, X Zhang, P Li 2022 IEEE International Conference on Big Data (Big Data), 1401-1408, 2022 | 7 | 2022 |
| Private graph all-pairwise-shortest-path distance release with improved error rate C Fan, P Li, X Li Advances in Neural Information Processing Systems 35, 17844-17856, 2022 | 7 | 2022 |
| Randomized kernel multi-view discriminant analysis X Li, P Li 24th European Conference on Artificial Intelligence (ECAI), 2020 | 7 | 2020 |
| Analysis of error feedback in federated non-convex optimization with biased compression: Fast convergence and partial participation X Li, P Li International Conference on Machine Learning, 19638-19688, 2023 | 6 | 2023 |
| An optimistic acceleration of amsgrad for nonconvex optimization JK Wang, X Li, B Karimi, P Li Asian Conference on Machine Learning, 422-437, 2021 | 6 | 2021 |
