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07/21/2023
Software engineering to sustain a high-performance computing scientific application: QMCPACK
We provide an overview of the software engineering efforts and their imp...
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04/16/2023
A Random-patch based Defense Strategy Against Physical Attacks for Face Recognition Systems
The physical attack has been regarded as a kind of threat against real-w...
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03/14/2023
Allegro-Legato: Scalable, Fast, and Robust Neural-Network Quantum Molecular Dynamics via Sharpness-Aware Minimization
Neural-network quantum molecular dynamics (NNQMD) simulations based on m...
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10/11/2022
Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative Learning
Data in real-world object detection often exhibits the long-tailed distr...
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01/07/2022
Equalized Focal Loss for Dense Long-Tailed Object Detection
Despite the recent success of long-tailed object detection, almost all l...
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08/28/2021
Self-fulfilling Bandits: Endogeneity Spillover and Dynamic Selection in Algorithmic Decision-making
In this paper, we study endogeneity problems in algorithmic decision-mak...
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08/26/2021
PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning
The application of deep learning to medical image segmentation has been ...
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03/06/2021
Causal Reinforcement Learning: An Instrumental Variable Approach
In the standard data analysis framework, data is first collected (once f...
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03/03/2021
Deblurring Processor for Motion-Blurred Faces Based on Generative Adversarial Networks
Low-quality face image restoration is a popular research direction in to...
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03/03/2021
An Alternative Practice of Tropical Convolution to Traditional Convolutional Neural Networks
Convolutional neural networks (CNNs) have been used in many machine lear...
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02/12/2021
Min-Max-Plus Neural Networks
We present a new model of neural networks called Min-Max-Plus Neural Net...
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02/11/2021
L-SNet: from Region Localization to Scale Invariant Medical Image Segmentation
Coarse-to-fine models and cascade segmentation architectures are widely ...
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11/08/2020
Cross-Modal Self-Attention Distillation for Prostate Cancer Segmentation
Automatic segmentation of the prostate cancer from the multi-modal magne...
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12/30/2019
Adaptive Discrete Smoothing for High-Dimensional and Nonlinear Panel Data
In this paper we develop a data-driven smoothing technique for high-dime...
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09/02/2019
SortedEffects: Sorted Causal Effects in R
Chernozhukov et al. (2018) proposed the sorted effect method for nonline...
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09/04/2018
Shape-Enforcing Operators for Point and Interval Estimators
A common problem in statistics is to estimate and make inference on func...
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02/06/2018
An Imputation-Consistency Algorithm for High-Dimensional Missing Data Problems and Beyond
Missing data are frequently encountered in high-dimensional problems, bu...
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12/31/2017
Estimation and Inference of Treatment Effects with L_2-Boosting in High-Dimensional Settings
Boosting algorithms are very popular in Machine Learning and have proven...
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02/10/2017
L_2Boosting for Economic Applications
In the recent years more and more high-dimensional data sets, where the ...
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04/28/2016
Detecting "Smart" Spammers On Social Network: A Topic Model Approach
Spammer detection on social network is a challenging problem. The rigid ...
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02/29/2016