| A fast optimization view: Reformulating single layer attention in llm based on tensor and svm trick, and solving it in matrix multiplication time Y Gao, Z Song, W Wang, J Yin arXiv preprint arXiv:2309.07418, 2023 | 44 | 2023 |
| An over-parameterized exponential regression Y Gao, S Mahadevan, Z Song arXiv preprint arXiv:2303.16504, 2023 | 41 | 2023 |
| An iterative algorithm for rescaled hyperbolic functions regression Y Gao, Z Song, J Yin arXiv preprint arXiv:2305.00660, 2023 | 34 | 2023 |
| In-context learning for attention scheme: from single softmax regression to multiple softmax regression via a tensor trick Y Gao, Z Song, S Xie arXiv preprint arXiv:2307.02419, 2023 | 29 | 2023 |
| Gradientcoin: A peer-to-peer decentralized large language models Y Gao, Z Song, J Yin arXiv preprint arXiv:2308.10502, 2023 | 27 | 2023 |
| A sublinear adversarial training algorithm Y Gao, L Qin, Z Song, Y Wang Twelfth International Conference on Learning Representations (ICLR 2024), 2024 | 26 | 2024 |
| Fast quantum algorithm for attention computation Y Gao, Z Song, X Yang, R Zhang arXiv preprint arXiv:2307.08045, 2023 | 25 | 2023 |
| Differentially private attention computation Y Gao, Z Song, X Yang, Y Zhou arXiv preprint arXiv:2305.04701, 2023 | 25 | 2023 |
| Brief industry paper: Optimizing memory efficiency of graph neural networks on edge computing platforms A Zhou, J Yang, Y Gao, T Qiao, Y Qi, X Wang, Y Chen, P Dai, W Zhao, ... 2021 IEEE 27th Real-Time and Embedded Technology and Applications Symposium …, 2021 | 24 | 2021 |
| Soft‐Hard Janus Nanoparticles Triggered Hierarchical Conductors with Large Stretchability, High Sensitivity, and Superior Mechanical Properties H He, T Yang, T Liu, Y Gao, Z Zhang, Z Yang, F Liang Advanced Materials 36 (15), 2312278, 2024 | 11 | 2024 |
| Solving tensor low cycle rank approximation Y Deng, Y Gao, Z Song IEEE International Conference on BigData 2023, 2023 | 7 | 2023 |
| An Time Fourier Set Query Algorithm Y Gao, Z Song, B Sun arXiv preprint arXiv:2208.09634, 2022 | 5 | 2022 |
| Quantum Speedup for Spectral Approximation of Kronecker Products Y Gao, Z Song, R Zhang arXiv preprint arXiv:2402.07027, 2024 | 3 | 2024 |
| Binary Hypothesis Testing for Softmax Models and Leverage Score Models Y Gao, Y Gu, Z Song arXiv preprint arXiv:2405.06003, 2024 | | 2024 |
| Improved Reconstruction for Fourier-Sparse Signals Y Gao, Z Song, B Sun, O Weinstein, R Zhang arXiv preprint arXiv:2205.00658, 2022 | | 2022 |
Zhao SongSimons Institute for the Theory of Computing, UC BerkeleyVerified email at ias.edu
