| ZEN: An Optimizing Compiler for Verifiable, Zero-Knowledge Neural Network Inferences B Feng, L Qin, Z Zhang, Y Ding, S Chu Cryptology ePrint Archive, 2021 | 67* | 2021 |
| An online and unified algorithm for projection matrix vector multiplication with application to empirical risk minimization L Qin, Z Song, L Zhang, D Zhuo International Conference on Artificial Intelligence and Statistics, 101-156, 2023 | 39 | 2023 |
| Gpt-4v (ision) as a generalist evaluator for vision-language tasks X Zhang, Y Lu, W Wang, A Yan, J Yan, L Qin, H Wang, X Yan, WY Wang, ... arXiv preprint arXiv:2311.01361, 2023 | 26 | 2023 |
| Adore: Differentially Oblivious Relational Database Operators L Qin, R Jayaram, E Shi, Z Song, D Zhuo, S Chu VLDB 2023, 2022 | 24 | 2022 |
| A sublinear adversarial training algorithm Y Gao, L Qin, Z Song, Y Wang ICLR 2024, 2022 | 22 | 2022 |
| A general algorithm for solving rank-one matrix sensing L Qin, Z Song, R Zhang AISTATS 2024, 2023 | 15 | 2023 |
| Adaptive and Dynamic Multi-Resolution Hashing for Pairwise Summations L Qin, A Reddy, Z Song, Z Xu, D Zhuo 2022 IEEE International Conference on Big Data (Big Data) 2022, 2022 | 13 | 2022 |
| Efficient sgd neural network training via sublinear activated neuron identification L Qin, Z Song, Y Yang arXiv preprint arXiv:2307.06565, 2023 | 10 | 2023 |
| Training deep nets with progressive batch normalization on multi-GPUs L Qin, Y Gong, T Tang, Y Wang, J Jin International Journal of Parallel Programming 47 (3), 373-387, 2019 | 10 | 2019 |
| Fast submodular function maximization L Qin, Z Song, Y Wang arXiv preprint arXiv:2305.08367, 2023 | 8 | 2023 |
| Is Solving Graph Neural Tangent Kernel Equivalent to Training Graph Neural Network? L Qin, Z Song, B Sun arXiv preprint arXiv:2309.07452, 2023 | 4 | 2023 |
| Fast Heavy Inner Product Identification Between Weights and Inputs in Neural Network Training L Qin, S Mitra, Z Song, Y Yang, T Zhou IEEE International Conference on Big Data (Big Data) 2023, 2023 | 1 | 2023 |
| Online Adaptive Mahalanobis Distance Estimation L Qin, A Reddy, Z Song IEEE International Conference on Big Data (Big Data) 2023, 2023 | | 2023 |
Zhao SongAdobe Research在 ias.edu 的电子邮件经过验证
