b'Shuang Liu'

research

∙ 05/21/2023

A Pilot Study on Dialogue-Level Dependency Parsing for Chinese

Dialogue-level dependency parsing has received insufficient attention, e...

0 Gongyao Jiang, et al. ∙

research

∙ 03/21/2023

A Review on Machine Theory of Mind

Theory of Mind (ToM) is the ability to attribute mental states to others...

0 Yuanyuan Mao, et al. ∙

research

∙ 12/08/2022

HyperEnclave: An Open and Cross-platform Trusted Execution Environment

A number of trusted execution environments (TEEs) have been proposed by ...

0 Yuekai Jia, et al. ∙

research

∙ 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...

0 Shuang Liu, et al. ∙

research

∙ 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...

0 Shuang Liu, et al. ∙

research

∙ 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....

0 Shuang Liu, et al. ∙

research

∙ 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...

0 Xiao-Shan Gao, et al. ∙

research

∙ 06/26/2022

Improving Policy Optimization with Generalist-Specialist Learning

Generalization in deep reinforcement learning over unseen environment va...

0 Zhiwei Jia, et al. ∙

research

∙ 04/21/2022

Provably Efficient Kernelized Q-Learning

We propose and analyze a kernelized version of Q-learning. Although a ke...

0 Shuang Liu, et al. ∙

research

∙ 04/12/2022

Universal AMG Accelerated Embedded Boundary Method Without Small Cell Stiffness

We develop a universally applicable embedded boundary finite difference ...

0 Zhichao Peng, et al. ∙

research

∙ 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...

0 Shuang Liu, et al. ∙

research

∙ 12/17/2021

Symmetry-aware Neural Architecture for Embodied Visual Navigation

Visual exploration is a task that seeks to visit all the navigable areas...

0 Shuang Liu, et al. ∙

research

∙ 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...

0 Yixuan Ma, et al. ∙

research

∙ 09/13/2021

Task Guided Compositional Representation Learning for ZDA

Zero-shot domain adaptation (ZDA) methods aim to transfer knowledge abou...

0 Shuang Liu, et al. ∙

research

∙ 08/13/2021

GQE-PRF: Generative Query Expansion with Pseudo-Relevance Feedback

Query expansion with pseudo-relevance feedback (PRF) is a powerful appro...

0 Minghui Huang, et al. ∙

research

∙ 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 ...

0 Haozhen Zhang, et al. ∙

research

∙ 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...

0 Mingdong Zhang, et al. ∙

research

∙ 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...

0 Shuang Liu, et al. ∙

research

∙ 03/18/2020

Automated synthesis of local time requirement for service composition

Service composition aims at achieving a business goal by composing exist...

0 Étienne André, et al. ∙

research

∙ 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...

9 Long Chen, et al. ∙

research

∙ 02/12/2020

Regret Bounds for Discounted MDPs

Recently, it has been shown that carefully designed reinforcement learni...

0 Shuang Liu, et al. ∙

research

∙ 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 ...

0 Saeed Vatankhah, et al. ∙

research

∙ 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...

0 Yizhen Dong, et al. ∙

research

∙ 09/25/2019

Pre-training as Batch Meta Reinforcement Learning with tiMe

Pre-training is transformative in supervised learning: a large network t...

0 Quan Vuong, et al. ∙

research

∙ 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...

0 Saeed Vatankhah, et al. ∙

research

∙ 09/12/2018

The Inductive Bias of Restricted f-GANs

Generative adversarial networks are a novel method for statistical infer...

0 Shuang Liu, et al. ∙

research

∙ 05/01/2018

Falsification of Cyber-Physical Systems Using Deep Reinforcement Learning

With the rapid development of software and distributed computing, Cyber-...

0 Takumi Akazaki, et al. ∙

research

∙ 12/12/2017

A vision based system for underwater docking

Autonomous underwater vehicles (AUVs) have been deployed for underwater ...

0 Shuang Liu, et al. ∙

research

∙ 05/24/2017

Approximation and Convergence Properties of Generative Adversarial Learning

Generative adversarial networks (GAN) approximate a target data distribu...

0 Shuang Liu, et al. ∙

research

∙ 10/26/2015

A Parallel algorithm for X-Armed bandits

The target of X-armed bandit problem is to find the global maximum of an...

0 Cheng Chen, et al. ∙

Shuang Liu

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