Qian Lin
24 papers · 2018–2026 · 9 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 7 separate collaboration groups - the largest holds only 38% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.
Which Qian Lin?
3 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Yicheng Li, Haobo Zhang, Weihao Lu
9 papers
· 2023–2025
· NeurIPS, JMLR, ICML
Hide ▲
Optimal Rates of Kernel Ridge Regression under Source Condition in Large Dimensions
JMLR 2025
Improving Adaptivity via Over-Parameterization in Sequence Models
NeurIPS 2024
On the Eigenvalue Decay Rates of a Class of Neural-Network Related Kernel Functions Defined on General Domains
JMLR 2024
On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory
NeurIPS 2024
On the Optimality of Misspecified Spectral Algorithms
JMLR 2024
On the Saturation Effects of Spectral Algorithms in Large Dimensions
NeurIPS 2024
On the Asymptotic Learning Curves of Kernel Ridge Regression under Power-law Decay
NeurIPS 2023
On the Optimality of Misspecified Kernel Ridge Regression
ICML 2023
On the Saturation Effect of Kernel Ridge Regression
ICLR 2023
4 papers whose co-authors appear nowhere else under this name
The optimality of kernel classifiers in Sobolev space
ICLR 2024
Re-Compose the Image by Evaluating the Crop on More Than Just a Score
WACV 2022
Print Defect Mapping with Semantic Segmentation
WACV 2020
Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks
EMNLP 2018