Rui Ding | DeepAI

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∙ 08/18/2023

Distribution shift mitigation at test time with performance guarantees

Due to inappropriate sample selection and limited training data, a distr...

0 Rui Ding, et al. ∙

∙ 04/25/2023

Statistical Depth Function Random Variables for Univariate Distributions and induced Divergences

In this paper, we show that the halfspace depth random variable for samp...

0 Rui Ding, et al. ∙

∙ 04/02/2023

Demonstration of InsightPilot: An LLM-Empowered Automated Data Exploration System

Exploring data is crucial in data analysis, as it helps users understand...

0 Pingchuan Ma, et al. ∙

∙ 02/01/2023

f-Betas and Portfolio Optimization with f-Divergence induced Risk Measures

In this paper, we build on using the class of f-divergence induced coher...

0 Rui Ding, et al. ∙

∙ 01/01/2023

Curvature regularization for Non-line-of-sight Imaging from Under-sampled Data

Non-line-of-sight (NLOS) imaging aims to reconstruct the three-dimension...

0 Rui Ding, et al. ∙

∙ 07/30/2022

LRIP-Net: Low-Resolution Image Prior based Network for Limited-Angle CT Reconstruction

In the practical applications of computed tomography imaging, the projec...

20 Qifeng Gao, et al. ∙

∙ 07/26/2022

XInsight: eXplainable Data Analysis Through The Lens of Causality

In light of the growing popularity of Exploratory Data Analysis (EDA), u...

12 Pingchuan Ma, et al. ∙

∙ 03/12/2022

Multibeam Satellite Communications with Energy Efficiency Optimization

Energy efficiency (EE) is an important aspect of satellite communication...

0 Chenhao Qi, et al. ∙

∙ 11/16/2021

A Unified and Fast Interpretable Model for Predictive Analytics

In this paper, we propose FXAM (Fast and eXplainable Additive Model), a ...

0 Rui Ding, et al. ∙

∙ 10/01/2021

ML4C: Seeing Causality Through Latent Vicinity

Supervised Causal Learning (SCL) aims to learn causal relations from obs...

0 Haoyue Dai, et al. ∙

∙ 05/09/2021

Location-Based Timing Advance Estimation for 5G Integrated LEO Satellite Communications

Integrated satellite-terrestrial communications networks aim to exploit ...

0 Wenjin Wang, et al. ∙

∙ 12/20/2020

A hybrid deep-learning approach for complex biochemical named entity recognition

Named entity recognition (NER) of chemicals and drugs is a critical doma...

12 Jian Liu, et al. ∙

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