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08/03/2023
Estimating causal quantile exposure response functions via matching
We develop new matching estimators for estimating causal quantile exposu...
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08/01/2023
Causal exposure-response curve estimation with surrogate confounders: a study of air pollution and children's health in Medicaid claims data
In this paper, we undertake a case study in which interest lies in estim...
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04/10/2023
DDRF: Denoising Diffusion Model for Remote Sensing Image Fusion
Denosing diffusion model, as a generative model, has received a lot of a...
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03/15/2023
Altruistic and Profit-oriented: Making Sense of Roles in Web3 Community from Airdrop Perspective
Regardless of which community, incentivizing users is a necessity for we...
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03/03/2023
PPCR: Learning Pyramid Pixel Context Recalibration Module for Medical Image Classification
Spatial attention mechanism has been widely incorporated into deep convo...
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03/30/2022
SIT: A Bionic and Non-Linear Neuron for Spiking Neural Network
Spiking Neural Networks (SNNs) have piqued researchers' interest because...
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09/30/2021
Estimating a Causal Exposure Response Function with a Continuous Error-Prone Exposure: A Study of Fine Particulate Matter and All-Cause Mortality
Numerous studies have examined the associations between long-term exposu...
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08/20/2021
Metaverse for Social Good: A University Campus Prototype
In recent years, the metaverse has attracted enormous attention from aro...
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05/07/2021
Bayesian Modeling for Exposure Response Curve via Gaussian Processes: Causal Effects of Exposure to Air Pollution on Health Outcomes
Motivated by environmental health research on air pollution, we address ...
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05/06/2021
Solve routing problems with a residual edge-graph attention neural network
For NP-hard combinatorial optimization problems, it is usually difficult...
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02/20/2021
Assessing the causal effects of a stochastic intervention in time series data: Are heat alerts effective in preventing deaths and hospitalizations?
We introduce a new causal inference framework for time series data aimed...
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09/17/2019
Improving the Learning of Multi-column Convolutional Neural Network for Crowd Counting
Tremendous variation in the scale of people/head size is a critical prob...
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09/16/2019
Learning Spatial Awareness to Improve Crowd Counting
The aim of crowd counting is to estimate the number of people in images ...
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06/28/2019
Rhythm Dungeon: A Blockchain-based Music Roguelike Game
Rhythm Dungeon is a rhythm game which leverages the blockchain as a shar...
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06/24/2019
Adversarial Multimodal Network for Movie Question Answering
Visual question answering by using information from multiple modalities ...
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05/17/2019
Optimizing Interim Analysis Timing for Bayesian Adaptive Commensurate Designs
In developing products for rare diseases, statistical challenges arise d...
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12/17/2018
Matching on Generalized Propensity Scores with Continuous Exposures
Generalized propensity scores (GPS) are commonly used when estimating th...
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11/29/2018
Perceiving Physical Equation by Observing Visual Scenarios
Inferring universal laws of the environment is an important ability of h...
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04/14/2018
Video2Shop: Exactly Matching Clothes in Videos to Online Shopping Images
In recent years, both online retail and video hosting service are expone...
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04/14/2018
On the Selection of Anchors and Targets for Video Hyperlinking
A problem not well understood in video hyperlinking is what qualifies a ...
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12/02/2017
Causal inference in the context of an error prone exposure: air pollution and mortality
We propose a new approach for estimating causal effects when the exposur...
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04/17/2017
Multi-View Image Generation from a Single-View
This paper addresses a challenging problem -- how to generate multi-view...
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06/28/2016
