activity
20162026
most citedScalable inference in functional linear regression with streaming data

2 citations · 4 across the 8 of their papers we have counts for

collaborators

8 papers

stat.ML2026

Efficient Online LLM Watermark Detection via Rao-Blackwellized E-Processes

Lu Luo, Dandan Mo, Chengdong Xu +4

As large language models (LLMs) are increasingly deployed, reliable and efficient mechanisms for distinguishing AI-generated text from human-written content have become essential.…

physics.ao-ph2025

Ekman Theory with Damping

Jiacheng Wu, Yonggang Liu, Rui Xin Huang +3

The observed Ekman spirals in the ocean are always "flatter" than that predicted by the classic theory. We propose that the universal flattening of Ekman spiral is mainly due to th…

cs.LG2024

Sampling-guided Heterogeneous Graph Neural Network with Temporal Smoothing for Scalable Longitudinal Data Imputation

Zhaoyang Zhang, Ziqi Chen, Qiao Liu +2

In this paper, we propose a novel framework, the Sampling-guided Heterogeneous Graph Neural Network (SHT-GNN), to effectively tackle the challenge of missing data imputation in lon…

stat.ME2023★ 2 cited

Scalable inference in functional linear regression with streaming data

Jinhan Xie, Enze Shi, Peijun Sang +3

Traditional static functional data analysis is facing new challenges due to streaming data, where data constantly flow in. A major challenge is that storing such an ever-increasing…

stat.ME2022★ 2 cited

Inference on High-dimensional Single-index Models with Streaming Data

Dongxiao Han, Jinhan Xie, Jin Liu +4

Traditional statistical methods are faced with new challenges due to streaming data. The major challenge is the rapidly growing volume and velocity of data, which makes storing suc…

cs.CL2021

Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving

Lei Ding, Dengdeng Yu, Jinhan Xie +7

With widening deployments of natural language processing (NLP) in daily life, inherited social biases from NLP models have become more severe and problematic. Previous studies have…

stat.ME2016

Fused Mean-variance Filter for Feature Screening

Yan Xiao-Dong, Xie Jin-Han, Ding Xian-Wen +2

This paper proposes a novel model-free screening procedure for ultrahigh dimensional data analysis. By utilizing slicing technique which has been successfully ap- plied to continuo…

stat.ME2016

Optimal model averaging forecasting in high-dimensional survival analysis

Xiaodong Yan, Hongni Wang, Wei Wang +3

This article considers ultrahigh-dimensional forecasting problems with survival response variables. We propose a two-step model averaging procedure for improving the forecasting ac…