b'Rui Liu'

Synthesized Trust Learning from Limited Human Feedback for Human-Load-Reduced Multi-Robot Deployments

Human multi-robot system (MRS) collaboration is demonstrating potentials...
04/07/2021 ∙ by Yijiang Pang, et al. ∙ 0 ∙ share

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Isconna: Streaming Anomaly Detection with Frequency and Patterns

An edge stream is a common form of presentation of dynamic networks. It ...
04/04/2021 ∙ by Rui Liu, et al. ∙ 0 ∙ share

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Reinforcement Learning for Emotional Text-to-Speech Synthesis with Improved Emotion Discriminability

Emotional text-to-speech synthesis (ETTS) has seen much progress in rece...
04/03/2021 ∙ by Rui Liu, et al. ∙ 0 ∙ share

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Repairing Human Trust by Promptly Correcting Robot Mistakes with An Attention Transfer Model

In human-robot collaboration (HRC), human trust in the robot is the huma...
03/14/2021 ∙ by Ruijiao Luo, et al. ∙ 0 ∙ share

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Meta Preference Learning for Fast User Adaptation in Human-Supervisory Multi-Robot Deployments

As multi-robot systems (MRS) are widely used in various tasks such as na...
03/14/2021 ∙ by Chao Huang, et al. ∙ 0 ∙ share

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DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network

Conditional generative adversarial networks (cGANs) target at synthesizi...
03/14/2021 ∙ by Rui Liu, et al. ∙ 4 ∙ share

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A Physics-Informed Machine Learning Model for Porosity Analysis in Laser Powder Bed Fusion Additive Manufacturing

To control part quality, it is critical to analyze pore generation mecha...
01/13/2021 ∙ by Rui Liu, et al. ∙ 10 ∙ share

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Seen and Unseen emotional style transfer for voice conversion with a new emotional speech dataset

Emotional voice conversion aims to transform emotional prosody in speech...
10/28/2020 ∙ by Kun Zhou, et al. ∙ 0 ∙ share

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Temporal Difference Learning as Gradient Splitting

Temporal difference learning with linear function approximation is a pop...
10/27/2020 ∙ by Rui Liu, et al. ∙ 0 ∙ share

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Adam with Bandit Sampling for Deep Learning

Adam is a widely used optimization method for training deep learning mod...
10/24/2020 ∙ by Rui Liu, et al. ∙ 0 ∙ share

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GraphSpeech: Syntax-Aware Graph Attention Network For Neural Speech Synthesis

Attention-based end-to-end text-to-speech synthesis (TTS) is superior to...
10/23/2020 ∙ by Rui Liu, et al. ∙ 0 ∙ share

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Real-Time Streaming Anomaly Detection in Dynamic Graphs

Given a stream of graph edges from a dynamic graph, how can we assign an...
09/17/2020 ∙ by Siddharth Bhatia, et al. ∙ 27 ∙ share

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Asymptotic Convergence Rate of Alternating Minimization for Rank One Matrix Completion

We study alternating minimization for matrix completion in the simplest ...
08/11/2020 ∙ by Rui Liu, et al. ∙ 12 ∙ share

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Modeling Prosodic Phrasing with Multi-Task Learning in Tacotron-based TTS

Tacotron-based end-to-end speech synthesis has shown remarkable voice qu...
08/11/2020 ∙ by Rui Liu, et al. ∙ 0 ∙ share

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Explanation of Reinforcement Learning Model in Dynamic Multi-Agent System

Recently, there has been increasing interest in transparency and interpr...
08/04/2020 ∙ by Xinzhi Wang, et al. ∙ 61 ∙ share

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Expressive TTS Training with Frame and Style Reconstruction Loss

We propose a novel training strategy for Tacotron-based text-to-speech (...
08/04/2020 ∙ by Rui Liu, et al. ∙ 0 ∙ share

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Inner Attention Modeling for Flexible Teaming of Heterogeneous Multi Robots Using Multi-Agent Reinforcement Learning

With the advantages of member diversity and team scale, heterogeneous mu...
06/28/2020 ∙ by Chao Huang, et al. ∙ 0 ∙ share

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Trust Aware Emergency Response for A Resilient Human-Swarm Cooperative System

A human-swarm cooperative system, which mixes multiple robots and a huma...
06/27/2020 ∙ by Yijiang Pang, et al. ∙ 0 ∙ share

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Multi-step-ahead Prediction from Short-term Data by Delay-embedding-based Forecast Machine

Making accurate multi-step-ahead prediction for a complex system is a ch...
05/16/2020 ∙ by Hao Peng, et al. ∙ 6 ∙ share

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StereoGAN: Bridging Synthetic-to-Real Domain Gap by Joint Optimization of Domain Translation and Stereo Matching

Large-scale synthetic datasets are beneficial to stereo matching but usu...
05/05/2020 ∙ by Rui Liu, et al. ∙ 7 ∙ share

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Keyphrase Prediction With Pre-trained Language Model

Recently, generative methods have been widely used in keyphrase predicti...
04/22/2020 ∙ by Rui Liu, et al. ∙ 0 ∙ share

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Trust Repairing for Human-Swarm Cooperation inDynamic Task Response

Emergency happens in human-UAV cooperation, such as criminal activity tr...
02/18/2020 ∙ by Yijiang Pang, et al. ∙ 0 ∙ share

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Inner Attention Supported Adaptive Cooperation for Heterogeneous Multi Robots Teaming based on Multi-agent Reinforcement Learning

Humans can selectively focus on different information based on different...
02/12/2020 ∙ by Chao Huang, et al. ∙ 0 ∙ share

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Human-to-Robot Attention Transfer for Robot Execution Failure Avoidance Using Stacked Neural Networks

Due to world dynamics and hardware uncertainty, robots inevitably fail i...
02/11/2020 ∙ by Boyi Song, et al. ∙ 20 ∙ share

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Proficiency Aware Multi-Agent Actor-Critic for Mixed Aerial and Ground Robot Teaming

Mixed Cooperation and competition are the actual scenarios of deploying ...
02/10/2020 ∙ by Qifei Yu, et al. ∙ 12 ∙ share

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Understanding and Optimizing Packed Neural Network Training for Hyper-Parameter Tuning

As neural networks are increasingly employed in machine learning practic...
02/07/2020 ∙ by Rui Liu, et al. ∙ 3 ∙ share

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WaveTTS: Tacotron-based TTS with Joint Time-Frequency Domain Loss

Tacotron-based text-to-speech (TTS) systems directly synthesize speech f...
02/02/2020 ∙ by Rui Liu, et al. ∙ 2 ∙ share

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Teacher-Student Training for Robust Tacotron-based TTS

While neural end-to-end text-to-speech (TTS) is superior to conventional...
11/07/2019 ∙ by Rui Liu, et al. ∙ 0 ∙ share

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Regularized Non-negative Spectral Embedding for Clustering

Spectral Clustering is a popular technique to split data points into gro...
11/01/2019 ∙ by Yifei Wang, et al. ∙ 0 ∙ share

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Cooperative driving strategy based on naturalitic driving data and non-cooperative MPC

A cooperative driving strategy is proposed, in which the dynamic driving...
10/10/2019 ∙ by Rui Liu, et al. ∙ 0 ∙ share

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An Efficient Skyline Computation Framework

Skyline computation aims at looking for the set of tuples that are not w...
08/12/2019 ∙ by Rui Liu, et al. ∙ 0 ∙ share

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Joint Lifelong Topic Model and Manifold Ranking for Document Summarization

Due to the manifold ranking method has a significant effect on the ranki...
07/07/2019 ∙ by Jianying Lin, et al. ∙ 0 ∙ share

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Statistical Characteristics of Driver Accelerating Behavior and Its Probability Model

The naturalistic driving data are employed to study the accelerating beh...
07/03/2019 ∙ by Rui Liu, et al. ∙ 0 ∙ share

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Conditional Adversarial Generative Flow for Controllable Image Synthesis

Flow-based generative models show great potential in image synthesis due...
04/03/2019 ∙ by Rui Liu, et al. ∙ 0 ∙ share

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Benchmarking Time Series Databases with IoTDB-Benchmark for IoT Scenarios

With the wide application of time series databases (TSDBs) in big data f...
01/24/2019 ∙ by Rui Liu, et al. ∙ 0 ∙ share

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Benchmark Time Series Database with IoTDB-Benchmark for IoT Scenarios

With the wide application of time series databases (TSDB) in big data fi...
01/24/2019 ∙ by Rui Liu, et al. ∙ 0 ∙ share

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A Bandit Approach to Maximum Inner Product Search

There has been substantial research on sub-linear time approximate algor...
12/15/2018 ∙ by Rui Liu, et al. ∙ 0 ∙ share

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Discrete Factorization Machines for Fast Feature-based Recommendation

User and item features of side information are crucial for accurate reco...
05/06/2018 ∙ by Han Liu, et al. ∙ 0 ∙ share

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Phase Conductor on Multi-layered Attentions for Machine Comprehension

Attention models have been intensively studied to improve NLP tasks such...
10/28/2017 ∙ by Rui Liu, et al. ∙ 0 ∙ share

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Untangling Blockchain: A Data Processing View of Blockchain Systems

Blockchain technologies are gaining massive momentum in the last few yea...
08/17/2017 ∙ by Tien Tuan Anh Dinh, et al. ∙ 0 ∙ share

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Structural Embedding of Syntactic Trees for Machine Comprehension

Deep neural networks for machine comprehension typically utilizes only w...
03/02/2017 ∙ by Rui Liu, et al. ∙ 0 ∙ share

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A Review of Methodologies for Natural-Language-Facilitated Human-Robot Cooperation

Natural-language-facilitated human-robot cooperation (NLC) refers to usi...
01/30/2017 ∙ by Rui Liu, et al. ∙ 0 ∙ share

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Systems of natural-language-facilitated human-robot cooperation: A review

Natural-language-facilitated human-robot cooperation (NLC), in which nat...
01/28/2017 ∙ by Rui Liu, et al. ∙ 0 ∙ share

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Generating machine-executable plans from end-user's natural-language instructions

It is critical for advanced manufacturing machines to autonomously execu...
11/20/2016 ∙ by Rui Liu, et al. ∙ 0 ∙ share

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Simultaneous Low-rank Component and Graph Estimation for High-dimensional Graph Signals: Application to Brain Imaging

We propose an algorithm to uncover the intrinsic low-rank component of a...
09/26/2016 ∙ by Rui Liu, et al. ∙ 0 ∙ share

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Feature Selection Based on Term Frequency and T-Test for Text Categorization

Much work has been done on feature selection. Existing methods are based...
05/03/2013 ∙ by Deqing Wang, et al. ∙ 0 ∙ share

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Rui Liu

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