Hongkang Li

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 14

Top Topics

Densely Connected

Sample Complexity

Top Venues

Publications

Hongkang Li, Meng Wang, Shuai Zhang, Sijia Liu, Pin-Yu Chen
Learning on Transformers is Provable Low-Rank and Sparse: A One-layer Analysis. CoRR (2024)
Hongkang Li, Meng Wang, Tengfei Ma, Sijia Liu, Zaixi Zhang, Pin-Yu Chen
What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding. CoRR (2024)
Hongkang Li, Shuai Zhang, Yihua Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen
How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance. CoRR (2024)
Hongkang Li, Meng Wang, Songtao Lu, Xiaodong Cui, Pin-Yu Chen
Training Nonlinear Transformers for Efficient In-Context Learning: A Theoretical Learning and Generalization Analysis. CoRR (2024)
Hui Wan, Hongkang Li, Songtao Lu, Xiaodong Cui, Marina Danilevsky
How Can Personalized Context Help? Exploring Joint Retrieval of Passage and Personalized Context. ICASSP (2024)
Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen
A Theoretical Understanding of shallow Vision Transformers: Learning, Generalization, and Sample Complexity. CoRR (2023)
Shuai Zhang, Hongkang Li, Meng Wang, Miao Liu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Keerthiram Murugesan, Subhajit Chaudhury
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration. CoRR (2023)
Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen
A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity. ICLR (2023)
Hui Wan, Hongkang Li, Songtao Lu, Xiaodong Cui, Marina Danilevsky
How Can Context Help? Exploring Joint Retrieval of Passage and Personalized Context. CoRR (2023)
Shuai Zhang, Hongkang Li, Meng Wang, Miao Liu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Keerthiram Murugesan, Subhajit Chaudhury
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration. NeurIPS (2023)
Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling. ICML (2022)
Hongkang Li, Shuai Zhang, Meng Wang
Learning and generalization of one-hidden-layer neural networks, going beyond standard Gaussian data. CoRR (2022)
Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling. CoRR (2022)
Hongkang Li, Shuai Zhang, Meng Wang
Learning and generalization of one-hidden-layer neural networks, going beyond standard Gaussian data. CISS (2022)