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Jian Li
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Cited by
Year
A Survey on Model Compression for Large Language Models
X Zhu, J Li*, Y Liu, C Ma, W Wang
arXiv preprint arXiv:2308.07633, 2023
822023
Multi-Class Learning: From Theory to Algorithm
J Li, Y Liu, R Yin, H Zhang, L Ding, W Wang
Advances in Neural Information Processing Systems (NeurIPS), 1586-1595, 2018
522018
Multi-Class Learning using Unlabeled Samples: Theory and Algorithm
J Li, Y Liu, R Yin, W Wang
International Joint Conference on Artificial Intelligence (IJCAI), 2880-2886, 2019
212019
Automated spectral kernel learning
J Li, Y Liu, W Wang
AAAI Conference on Artificial Intelligence (AAAI), 4618-4625, 2020
152020
Neural architecture optimization with graph vae
J Li, Y Liu, J Liu, W Wang
arXiv preprint arXiv:2006.10310, 2020
142020
Towards Sharp Analysis for Distributed Learning with Random Features
J Li, Y Liu
International Joint Conference on Artificial Intelligence (IJCAI), 3920-3928, 2023
13*2023
Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis
J Li, Y Liu, R Yin, W Wang
International Joint Conference on Artificial Intelligence (IJCAI), 2887-2893, 2019
132019
Convolutional spectral kernel learning with generalization guarantees
J Li, Y Liu, W Wang
Artificial Intelligence (AI) 313, 103803, 2022
9*2022
Federated Learning for Non-IID Data: From Theory to Algorithm
B Wei, J Li*, Y Liu, W Wang
Pacific Rim International Conference on Artificial Intelligence (PRICAI), 33-48, 2021
72021
Non-IID Federated Learning with Sharper Risk Bound
B Wei, J Li*, Y Liu, W Wang
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
62022
Operation-level Progressive Differentiable Architecture Search
X Zhu, J Li*, Y Liu, J Liao, W Wang
2021 IEEE International Conference on Data Mining (ICDM), 1559-1564, 2021
62021
Efficient Kernel Selection via Spectral Analysis
J Li, Y Liu, H Lin, Y Yue, W Wang
International Joint Conference on Artificial Intelligence (IJCAI), 2124-2130, 2017
62017
Optimal Convergence Rates for Distributed Nyström Approximation
J Li, Y Liu, W Wang
Journal of Machine Learning Research (JMLR) 24, 141(1-39), 2023
52023
Improving Differentiable Architecture Search via self-distillation
X Zhu, J Li*, Y Liu, W Wang
Neural Networks 167, 656-667, 2023
42023
Optimal Convergence Rates for Agnostic Nyström Kernel Learning
J Li, Y Liu, W Wang
International Conference on Machine Learning (ICML), 2023
42023
Semi-supervised vector-valued learning: Improved bounds and algorithms
J Li, Y Liu, W Wang
Pattern Recognition 138, 109356, 2023
4*2023
Ridgeless Regression with Random Features
J Li, Y Liu, Y Zhang
International Joint Conference on Artificial Intelligence (IJCAI), 3208-3214, 2022
32022
Optimal Rates for Agnostic Distributed Learning
J Li, Y Liu, W Wang
IEEE Transactions on Information Theory (TIT), 2023
22023
Sharper Utility Bounds for Differentially Private Models: Smooth and Non-smooth
Y Kang, Y Liu, J Li, W Wang
ACM International Conference on Information & Knowledge Management (CIKM …, 2022
22022
Robust Neural Architecture Search
X Zhu, J Li*, Y Liu, W Wang
arXiv preprint arXiv:2304.02845, 2023
12023
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