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Randomization Inference for Composite Experiments with Spillovers and Peer Effects
Group-formation experiments, in which experimental units are randomly as...
02/28/2021 ∙ by Hui Xu, et al. ∙
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DROID: Minimizing the Reality Gap using Single-Shot Human Demonstration
Reinforcement learning (RL) has demonstrated great success in the past s...
02/22/2021 ∙ by Ya-Yen Tsai, et al. ∙
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Deep Learning in the Era of Edge Computing: Challenges and Opportunities
The era of edge computing has arrived. Although the Internet is the back...
10/17/2020 ∙ by Mi Zhang, et al. ∙
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High-Order Relation Construction and Mining for Graph Matching
Graph matching pairs corresponding nodes across two or more graphs. The ...
10/09/2020 ∙ by Hui Xu, et al. ∙
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Memory-Safety Challenge Considered Solved? An Empirical Study with All Rust CVEs
Rust is an emerging programing language that aims at preventing memory-s...
03/06/2020 ∙ by Hui Xu, et al. ∙
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GPRInvNet: Deep Learning-Based Ground Penetrating Radar Data Inversion for Tunnel Lining
A DNN architecture called GPRInvNet is proposed to tackle the challenge ...
12/12/2019 ∙ by Bin Liu, et al. ∙
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Dynamic Connected Neural Decision Classifier and Regressor with Dynamic Softing Pruning
In the regression problem, L1, L2 are the most commonly-used loss functi...
11/13/2019 ∙ by Faen Zhang, et al. ∙
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Regression via Arbitrary Quantile Modeling
In the regression problem, L1 and L2 are the most commonly used loss fun...
11/13/2019 ∙ by Faen Zhang, et al. ∙
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Detecting Deep Neural Network Defects with Data Flow Analysis
Deep neural networks (DNNs) are shown to be promising solutions in many ...
09/05/2019 ∙ by Jiazhen Gu, et al. ∙
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HM-NAS: Efficient Neural Architecture Search via Hierarchical Masking
The use of automatic methods, often referred to as Neural Architecture S...
08/31/2019 ∙ by Shen Yan, et al. ∙
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Nektar++: enhancing the capability and application of high-fidelity spectral/hp element methods
Nektar++ is an open-source framework that provides a flexible, high-perf...
06/08/2019 ∙ by David Moxey, et al. ∙
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DeepObfuscation: Securing the Structure of Convolutional Neural Networks via Knowledge Distillation
This paper investigates the piracy problem of deep learning models. Desi...
06/27/2018 ∙ by Hui Xu, et al. ∙
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On Benchmarking the Capability of Symbolic Execution Tools with Logic Bombs
Symbolic execution is an important software testing approach. It has bee...
12/05/2017 ∙ by Hui Xu, et al. ∙
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On Secure and Usable Program Obfuscation: A Survey
Program obfuscation is a widely employed approach for software intellect...
10/03/2017 ∙ by Hui Xu, et al. ∙
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