150 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Wuhan UniversityCN13 papers
- Henan UniversityCN8 papers
- Hong Kong University of Science and TechnologyHK5 papers
- Chinese Academy of SciencesCN4 papers
- Hong Kong Polytechnic UniversityHK4 papers
- University College LondonGB4 papers
- Wuhan Institute of Physics and MathematicsCN4 papers
- Duke-NUS Medical SchoolSG3 papers
- Nanjing Normal UniversityCN3 papers
- Central China Normal UniversityCN2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- China University of GeosciencesCN2 papers
52 papers
Specification LASSO and a Flexible Characteristics-Based Asset Pricing Model
Chaohua Dong, Shuyi Ge, Shaoran Li +1
This paper studies a partially linear semiparametric additive model that allows for interactions among variables in high-dimensional settings. We propose the Specification LASSO (S…
Perceive Before Reasoning: A Pre-Reasoning Perception Framework for Efficient and Reliable Proactive Mobile Agents
Zhijie Ding, Weinan Hong, Zicheng Zhu +6
Multimodal large language models (MLLMs) have substantially advanced mobile agents, yet proactive mobile assistance remains challenging because agents must decide when to intervene…
The Liabilities of Robots.txt
Chien-yi Chang, Xin He
This paper explores the legal implications of violating "robots.txt", a technical standard widely used by webmasters to communicate restrictions on automated access to website cont…
ESG Rating Disagreement and Corporate Total Factor Productivity:Inference and Prediction
Zhanli Li, Zichao Yang
This paper examines how ESG rating disagreement (Dis) affects corporate total factor productivity (TFP) in China based on data of A-share listed companies from 2015 to 2022. We fin…
Variance-reduced sampling importance resampling
Yao Xiao, Kang Fu, Kun Li
The sampling importance resampling method is widely utilized in various fields, such as numerical integration and statistical simulation. In this paper, two modified methods are pr…
A geometric characterisation of real C*-algebras
Cho-Ho Chu
We characterise the positive cone of a real C*-algebra geometrically. Given an open cone in a real Banach space , with closure , we show that is the interio…
Efficient Sparse Least Absolute Deviation Regression with Differential Privacy
Weidong Liu, Xiaojun Mao, Xiaofei Zhang +1
In recent years, privacy-preserving machine learning algorithms have attracted increasing attention because of their important applications in many scientific fields. However, in t…
On Time Uniform Wong-Zakai Approximation Theorems
Pierre Del Moral, Shulan Hu, Ajay Jasra +2
We consider the long time behavior of Wong-Zakai approximations of stochastic differential equations. These piecewise smooth diffusion approximations are of great importance in man…
Agree to Disagree: Measuring Hidden Dissent in FOMC Meetings
Kwok Ping Tsang, Zichao Yang
Using FOMC transcripts and customized deep learning models, we quantify ``hidden dissent'', or disagreement in the FOMC that is unobserved in formal votes. We find hidden dissent t…
CoxKnockoff: Controlled Feature Selection for the Cox Model Using Knockoffs
Daoji Li, Jinzhao Yu, Hui Zhao
Although there is a huge literature on feature selection for the Cox model, none of the existing approaches can control the false discovery rate (FDR) unless the sample size tends…
Precise Facial Landmark Detection by Reference Heatmap Transformer
Jun Wan, Jun Liu, Jie Zhou +5
Most facial landmark detection methods predict landmarks by mapping the input facial appearance features to landmark heatmaps and have achieved promising results. However, when the…
Adversarial Attacks Against Deep Generative Models on Data: A Survey
Hui Sun, Tianqing Zhu, Zhiqiu Zhang +2
Deep generative models have gained much attention given their ability to generate data for applications as varied as healthcare to financial technology to surveillance, and many mo…
Deep Generative Learning via Schrödinger Bridge
Gefei Wang, Yuling Jiao, Qian Xu +2
We propose to learn a generative model via entropy interpolation with a Schrödinger Bridge. The generative learning task can be formulated as interpolating between a reference dist…
Correlated Differential Privacy: Feature Selection in Machine Learning
Tao Zhang, Tianqing Zhu, Ping Xiong +3
Privacy preserving in machine learning is a crucial issue in industry informatics since data used for training in industries usually contain sensitive information. Existing differe…
Large scale analysis of generalization error in learning using margin based classification methods
Hanwen Huang, Qinglong Yang
Large-margin classifiers are popular methods for classification. We derive the asymptotic expression for the generalization error of a family of large-margin classifiers in the lim…
Cox regression analysis for distorted covariates with an unknown distortion function
Yanyan Liu, Yuanshan Wu, Jing Zhang +1
We study inference for censored survival data where some covariates are distorted by some unknown functions of an observable confounding variable in a multiplicative form. Example…
Registration of multi-view point sets under the perspective of expectation-maximization
Jihua Zhu, Jing Zhang, Huimin Lu +1
Registration of multi-view point sets is a prerequisite for 3D model reconstruction. To solve this problem, most of previous approaches either partially explore available informati…
A Kolmogorov type theorem for stochastic fields
Jinlong Wei, Guangying Lv
We generalize the Kolmogorov continuity theorem and prove the continuity of a class of stochastic fields with the parameter. As an application, we derive the continuity of solution…
Blowup solutions for stochastic parabolic equations
G. Lv, J. Wei
In this short paper, we are concerned with the blowup phenomenon of stochastic parabolic equations. By using comparison principle and the results of deterministic parabolic equatio…
Blowup solutions of Grushin's operator
Guangying Lv, Jinlong Wei, Longjie Xie
In this note, we consider the blowup phenomenon of Grushin's operator. By using the knowledge of probability, we first get expression of heat kernel of Grushin's operator. Then by…
Deep Generative Learning via Variational Gradient Flow
Yuan Gao, Yuling Jiao, Yang Wang +3
We propose a general framework to learn deep generative models via \textbf{V}ariational \textbf{Gr}adient Fl\textbf{ow} (VGrow) on probability spaces. The evolving distribution tha…
Central limit theorem and moderate deviations for a class of semilinear SPDES
Shulan Hu, Ruinan Li, Xinyu Wang
In this paper we prove a central limit theorem and a moderate deviation principle for a class of semilinear stochastic partial differential equations, which contain Burgers' equati…
Hausdorff dimensions of level sets related to moving digit means
Haibo Chen
In this paper, we will introduce and study the lower moving digit mean and the upper moving digit mean of in -adic expansion, wh…
VIMCO: Variational Inference for Multiple Correlated Outcomes in Genome-wide Association Studies
Xingjie Shi, Yuling Jiao, Yi Yang +4
In Genome-Wide Association Studies (GWAS) where multiple correlated traits have been measured on participants, a joint analysis strategy, whereby the traits are analyzed jointly, c…