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 | 53 | 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 | 44 | 2020 |
Random projections with asymmetric quantization X Li, P Li Advances in Neural Information Processing Systems 32, 2019 | 33 | 2019 |
Fedsketch: Communication-efficient and private federated learning via sketching F Haddadpour, B Karimi, P Li, X Li arXiv preprint arXiv:2008.04975, 2020 | 29 | 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 | 25 | 2019 |
On distributed adaptive optimization with gradient compression X Li, B Karimi, P Li International Conference on Learning Representations, 2022 | 24 | 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 | 23 | 2022 |
Rejection sampling for weighted jaccard similarity revisited X Li, P Li Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4197-4205, 2021 | 23 | 2021 |
Stochastic controlled averaging for federated learning with communication compression X Huang, P Li, X Li arXiv preprint arXiv:2308.08165, 2023 | 19 | 2023 |
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 | 19 | 2021 |
Generalization Error Analysis of Quantized Compressive Learning X Li, P Li Advances in Neural Information Processing Systems 32, 15124-15134, 2019 | 18 | 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, 2023 | 16 | 2023 |
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 | 15 | 2023 |
Quantization algorithms for random fourier features X Li, P Li International Conference on Machine Learning, 6369-6380, 2021 | 14 | 2021 |
Consistent sampling through extremal process P Li, X Li, G Samorodnitsky, W Zhao Proceedings of the Web Conference 2021, 1317-1327, 2021 | 14 | 2021 |
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 | 12 | 2022 |
C-MinHash: Improving Minwise Hashing with Circulant Permutation X Li, P Li International Conference on Machine Learning, 2022 | 12 | 2022 |
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 | 8 | 2022 |
Randomized kernel multi-view discriminant analysis X Li, P Li 24th European Conference on Artificial Intelligence (ECAI), 2020 | 7 | 2020 |