4 citations · 8 across the 5 of their papers we have counts for
5 papers
Sample Complexities of Estimating Gumbel--Max Watermark Proportions with and without Reduction to Pivotal Statistics
Shuwen Chai, Qiaosen Wang
Watermarking promises statistical traceability of large language model (LLM) uses, but real documents rarely arrive as purely human-written or purely LLM-generated. This motivates…
Adaptive Confidence Intervals in Efron's Gaussian Two-Groups Model
Qiaosen Wang, Shuwen Chai, Chao Gao
Robust uncertainty quantification is increasingly important in modern data analysis and is often formalized under Huber's model, which allows an -fraction of arbitrary…
Efficient Graph Matching for Correlated Stochastic Block Models
Shuwen Chai, Miklós Z. Rácz
We study learning problems on correlated stochastic block models with two balanced communities. Our main result gives the first efficient algorithm for graph matching in this setti…
One-shot Neural Backdoor Erasing via Adversarial Weight Masking
Shuwen Chai, Jinghui Chen
Recent studies show that despite achieving high accuracy on a number of real-world applications, deep neural networks (DNNs) can be backdoored: by injecting triggered data samples…
Hong Kong Air Traffic: Explanation and Prediction based on Sparse Seasonal ARIMA Model
Shuwen Chai
The monthly air traffic of a city is a time series with an obvious seasonal pattern, and is closely related to the economic situation and social environment of the city. In Hong Ko…