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Hongkang Li
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引用次数
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A Theoretical Understanding of shallow Vision Transformers: Learning, Generalization, and Sample Complexity
H Li, M Wang, S Liu, PY Chen
International Conference on Learning Representations 2023, 2023
412023
Generalization guarantee of training graph convolutional networks with graph topology sampling
H Li, M Wang, S Liu, PY Chen, J Xiong
International Conference on Machine Learning, 13014-13051, 2022
182022
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with -Greedy Exploration
S Zhang, H Li, M Wang, M Liu, PY Chen, S Lu, S Liu, K Murugesan, ...
neurips 2023, 2023
72023
Learning and generalization of one-hidden-layer neural networks, going beyond standard gaussian data
H Li, S Zhang, M Wang
2022 56th Annual Conference on Information Sciences and Systems (CISS), 37-42, 2022
62022
How Do Nonlinear Transformers Learn and Generalize in In-Context Learning?
H Li, M Wang, S Lu, X Cui, PY Chen
ICML 2024, 2024
4*2024
Transformers as Multi-Task Feature Selectors: Generalization Analysis of In-Context Learning
H Li, M Wang, S Lu, H Wan, X Cui, PY Chen
NeurIPS 2023 Workshop on Mathematics of Modern Machine Learning, 2023
32023
What Improves the Generalization of Graph Transformer? A Theoretical Dive into Self-attention and Positional Encoding
H Li, M Wang, T Ma, S Liu, Z Zhang, PY Chen
ICML 2024, 2023
32023
How does promoting the minority fraction affect generalization? A theoretical study of one-hidden-layer neural network on group imbalance
H Li, S Zhang, Y Zhang, M Wang, S Liu, PY Chen
IEEE Journal of Selected Topics in Signal Processing, 2024
22024
Enhancing Graph Transformers with Hierarchical Distance Structural Encoding
Y Luo, H Li, L Shi, XM Wu
arXiv preprint arXiv:2308.11129, 2024
1*2024
How Can Personalized Context Help? Exploring Joint Retrieval of Passage and Personalized Context
H Wan, H Li, S Lu, X Cui, M Danilevsky
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
2024
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