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05/21/2023
A Pilot Study on Dialogue-Level Dependency Parsing for Chinese
Dialogue-level dependency parsing has received insufficient attention, e...
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03/21/2023
A Review on Machine Theory of Mind
Theory of Mind (ToM) is the ability to attribute mental states to others...
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12/08/2022
HyperEnclave: An Open and Cross-platform Trusted Execution Environment
A number of trusted execution environments (TEEs) have been proposed by ...
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12/07/2022
Privacy protection and service evaluation methods for location-based services in edge computing environments
This paper proposes a privacy protection and evaluation method for locat...
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09/29/2022
Integration factor combined with level set method for reaction-diffusion systems with free boundary in high spatial dimensions
For reaction-diffusion equations in irregular domain with moving boundar...
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08/10/2022
Cell Polarity and Movement with Reaction-Diffusion and Moving Boundary: Rigorous Modeling and Robust Simulations
Cell polarity and movement are fundamental to many biological functions....
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07/17/2022
Achieve Optimal Adversarial Accuracy for Adversarial Deep Learning using Stackelberg Game
Adversarial deep learning is to train robust DNNs against adversarial at...
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06/26/2022
Improving Policy Optimization with Generalist-Specialist Learning
Generalization in deep reinforcement learning over unseen environment va...
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04/21/2022
Provably Efficient Kernelized Q-Learning
We propose and analyze a kernelized version of Q-learning. Although a ke...
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04/12/2022
Universal AMG Accelerated Embedded Boundary Method Without Small Cell Stiffness
We develop a universally applicable embedded boundary finite difference ...
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03/17/2022
Unified Line and Paragraph Detection by Graph Convolutional Networks
We formulate the task of detecting lines and paragraphs in a document in...
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12/17/2021
Symmetry-aware Neural Architecture for Embodied Visual Navigation
Visual exploration is a task that seeks to visit all the navigable areas...
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10/29/2021
A Comprehensive Study on Learning-Based PE Malware Family Classification Methods
Driven by the high profit, Portable Executable (PE) malware has been con...
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09/13/2021
Task Guided Compositional Representation Learning for ZDA
Zero-shot domain adaptation (ZDA) methods aim to transfer knowledge abou...
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08/13/2021
GQE-PRF: Generative Query Expansion with Pseudo-Relevance Feedback
Query expansion with pseudo-relevance feedback (PRF) is a powerful appro...
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12/10/2020
SE-ECGNet: A Multi-scale Deep Residual Network with Squeeze-and-Excitation Module for ECG Signal Classification
The classification of electrocardiogram (ECG) signals, which takes much ...
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11/03/2020
Visualization of Technical and Tactical Characteristics in Fencing
Fencing is a sport that relies heavily on the use of tactics. However, m...
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05/14/2020
APPCorp: A Corpus for Android Privacy Policy Document Structure Analysis
With the increasing popularity of mobile devices and the wide adoption o...
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03/18/2020
Automated synthesis of local time requirement for service composition
Service composition aims at achieving a business goal by composing exist...
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03/09/2020
Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS
Estimating 3D poses of multiple humans in real-time is a classic but sti...
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02/12/2020
Regret Bounds for Discounted MDPs
Recently, it has been shown that carefully designed reinforcement learni...
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01/10/2020
Generalized L_p-norm joint inversion of gravity and magnetic data using cross-gradient constraint
A generalized unifying approach for L_p-norm joint inversion of gravity ...
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11/14/2019
There is Limited Correlation between Coverage and Robustness for Deep Neural Networks
Deep neural networks (DNN) are increasingly applied in safety-critical s...
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09/25/2019
Pre-training as Batch Meta Reinforcement Learning with tiMe
Pre-training is transformative in supervised learning: a large network t...
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06/26/2019
Improving the use of the randomized singular value decomposition for the inversion of gravity and magnetic data
The large-scale focusing inversion of gravity and magnetic potential fie...
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09/12/2018
The Inductive Bias of Restricted f-GANs
Generative adversarial networks are a novel method for statistical infer...
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05/01/2018
Falsification of Cyber-Physical Systems Using Deep Reinforcement Learning
With the rapid development of software and distributed computing, Cyber-...
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12/12/2017
A vision based system for underwater docking
Autonomous underwater vehicles (AUVs) have been deployed for underwater ...
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05/24/2017
Approximation and Convergence Properties of Generative Adversarial Learning
Generative adversarial networks (GAN) approximate a target data distribu...
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10/26/2015