Lianke Qin
Lianke Qin
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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
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
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
Adore: Differentially Oblivious Relational Database Operators
L Qin, R Jayaram, E Shi, Z Song, D Zhuo, S Chu
VLDB 2023, 2022
A sublinear adversarial training algorithm
Y Gao, L Qin, Z Song, Y Wang
ICLR 2024, 2022
A general algorithm for solving rank-one matrix sensing
L Qin, Z Song, R Zhang
AISTATS 2024, 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
Efficient sgd neural network training via sublinear activated neuron identification
L Qin, Z Song, Y Yang
arXiv preprint arXiv:2307.06565, 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
Fast submodular function maximization
L Qin, Z Song, Y Wang
arXiv preprint arXiv:2305.08367, 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
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
Online Adaptive Mahalanobis Distance Estimation
L Qin, A Reddy, Z Song
IEEE International Conference on Big Data (Big Data) 2023, 2023
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