| Post-training quantization for neural networks with provable guarantees J Zhang, Y Zhou, R Saab SIAM Journal on Mathematics of Data Science 5 (2), 373-399, 2023 | 37 | 2023 |
| An elementary and unified proof of Grothendieck’s inequality S Friedland, LH Lim, J Zhang L’Enseignement Mathématique 64 (3), 327-351, 2018 | 21 | 2018 |
| Grothendieck constant is norm of Strassen matrix multiplication tensor S Friedland, LH Lim, J Zhang Numerische Mathematik 143 (4), 905--922, 2019 | 7* | 2019 |
| Faster binary embeddings for preserving euclidean distances J Zhang, R Saab International Conference on Learning Representations (ICLR), 2021 | 5 | 2021 |
| Sigma-Delta and Distributed Noise-Shaping Quantization Methods for Random Fourier Features J Zhang, H Kannan, A Cloninger, R Saab Information and Inference: A Journal of the IMA 13 (1), iaad052, 2024 | 2 | 2024 |
| SPFQ: A Stochastic Algorithm and Its Error Analysis for Neural Network Quantization J Zhang, R Saab arXiv preprint arXiv:2309.10975, 2023 | 2 | 2023 |
| Quantization for High-dimensional Data and Neural Networks: Theory and Algorithms J Zhang University of California, San Diego, 2023 | 1 | 2023 |
| Corrigendum: Post-training Quantization for Neural Networks with Provable Guarantees J Zhang, Y Zhou, R Saab SIAM Journal on Mathematics of Data Science 6 (3), 842-846, 2024 | | 2024 |
| Accumulator-Aware Post-Training Quantization I Colbert, F Grob, G Franco, J Zhang, R Saab arXiv preprint arXiv:2409.17092, 2024 | | 2024 |
| The Markov Chain Model for DP Engagement J Zhang, J Huang, Y Yu Amazon Machine Learning Conference (AMLC), Workshop on People-Centered Science, 2022 | | 2022 |
| On refined Hardy-Knopp type inequalities in Orlicz spaces and some related results J Zhang, S Zheng Journal of Inequalities and Applications 2015, 1-17, 2015 | | 2015 |
Rayan SaabProfessor, Mathematics & Data Science, UC San DiegoVerified email at ucsd.edu
