Search Results for author: Rui Liu

Found 46 papers, 13 papers with code

FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting

1 code implementation7 Sep 2021 Rui Liu, Hanming Deng, Yangyi Huang, Xiaoyu Shi, Lewei Lu, Wenxiu Sun, Xiaogang Wang, Jifeng Dai, Hongsheng Li

On the contrary, the soft composition operates by stitching different patches into a whole feature map where pixels in overlapping regions are summed up.

Tokenization Video Inpainting

Vector-Decomposed Disentanglement for Domain-Invariant Object Detection

1 code implementation15 Aug 2021 Aming Wu, Rui Liu, Yahong Han, Linchao Zhu, Yi Yang

Secondly, domain-specific representations are introduced as the differences between the input and domain-invariant representations.

Object Detection

Using Query Expansion in Manifold Ranking for Query-Oriented Multi-Document Summarization

1 code implementation31 Jul 2021 Quanye Jia, Rui Liu, Jianying Lin

It not only makes use of the relationships among the sentences, but also the relationships between the given query and the sentences.

Document Summarization Multi-Document Summarization

Emotional Voice Conversion: Theory, Databases and ESD

no code implementations31 May 2021 Kun Zhou, Berrak Sisman, Rui Liu, Haizhou Li

In this paper, we first provide a review of the state-of-the-art emotional voice conversion research, and the existing emotional speech databases.

Voice Conversion

Distributed TD(0) with Almost No Communication

no code implementations16 Apr 2021 Rui Liu, Alex Olshevsky

In the global state model, we show that the convergence rate of our distributed one-shot averaging method matches the known convergence rate of TD(0).

Decoupled Spatial-Temporal Transformer for Video Inpainting

1 code implementation14 Apr 2021 Rui Liu, Hanming Deng, Yangyi Huang, Xiaoyu Shi, Lewei Lu, Wenxiu Sun, Xiaogang Wang, Jifeng Dai, Hongsheng Li

Seamless combination of these two novel designs forms a better spatial-temporal attention scheme and our proposed model achieves better performance than state-of-the-art video inpainting approaches with significant boosted efficiency.

Video Inpainting

Isconna: Streaming Anomaly Detection with Frequency and Patterns

2 code implementations4 Apr 2021 Rui Liu, Siddharth Bhatia, Bryan Hooi

Isconna does not actively explore or maintain pattern snippets; it instead measures the consecutive presence and absence of edge records.

Anomaly Detection

DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network

1 code implementation CVPR 2021 Rui Liu, Yixiao Ge, Ching Lam Choi, Xiaogang Wang, Hongsheng Li

Conditional generative adversarial networks (cGANs) target at synthesizing diverse images given the input conditions and latent codes, but unfortunately, they usually suffer from the issue of mode collapse.

Contrastive Learning Image Generation

How flux feeding causes eruptions of solar magnetic flux ropes with the hyperbolic flux tube configuration?

no code implementations29 Jan 2021 Quanhao Zhang, Rui Liu, Yuming Wang, Zhenjun Zhou, Bin Zhuang, Xiaolei Li

But it is unclear how flux feeding influences coronal flux ropes that are wrapped by hyperbolic flux tubes (HFT), and whether it is able to cause the flux-rope eruption.

Solar and Stellar Astrophysics

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

no code implementations13 Jan 2021 Rui Liu, Sen Liu, Xiaoli Zhang

To address the first problem, a physics-informed, data-driven model (PIM), which instead of directly using machine setting parameters to predict porosity levels of printed parts, it first interprets machine settings into physical effects, such as laser energy density and laser radiation pressure.

Physics-informed machine learning

Non-equilibrium Flux Rope Formation by Confined Flares Preceding a Solar Coronal Mass Ejection

no code implementations6 Jan 2021 Bernhard Kliem, Jeongwoo Lee, Rui Liu, Stephen M. White, Chang Liu, Satoshi Masuda

We present evidence that a magnetic flux rope was formed before a coronal mass ejection (CME) and its associated long-duration flare during a pair of preceding confined eruptions and associated impulsive flares in a compound event in NOAA Active Region 12371.

Solar and Stellar Astrophysics

Neural Partial Differential Equations with Functional Convolution

no code implementations1 Jan 2021 Ziqian Wu, Xingzhe He, Michael Zhang, Yijun Li, Cheng Yang, Rui Liu, Shiying Xiong, Bo Zhu

Identifying the underlying structures of a PDE system based upon a small set of data samples on the solution space is challenging for machine learning.

Global Optimization

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

2 code implementations28 Oct 2020 Kun Zhou, Berrak Sisman, Rui Liu, Haizhou Li

Emotional voice conversion aims to transform emotional prosody in speech while preserving the linguistic content and speaker identity.

Speech Emotion Recognition Style Transfer +1

Temporal Difference Learning as Gradient Splitting

no code implementations27 Oct 2020 Rui Liu, Alex Olshevsky

Temporal difference learning with linear function approximation is a popular method to obtain a low-dimensional approximation of the value function of a policy in a Markov Decision Process.

Adam with Bandit Sampling for Deep Learning

no code implementations NeurIPS 2020 Rui Liu, Tianyi Wu, Barzan Mozafari

In this paper, we propose a generalization of Adam, called Adambs, that allows us to also adapt to different training examples based on their importance in the model's convergence.

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

no code implementations23 Oct 2020 Rui Liu, Berrak Sisman, Haizhou Li

Attention-based end-to-end text-to-speech synthesis (TTS) is superior to conventional statistical methods in many ways.

Graph Attention Speech Synthesis +1

Real-Time Anomaly Detection in Edge Streams

3 code implementations17 Sep 2020 Siddharth Bhatia, Rui Liu, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos

Given a stream of graph edges from a dynamic graph, how can we assign anomaly scores to edges in an online manner, for the purpose of detecting unusual behavior, using constant time and memory?

Anomaly Detection Anomaly Detection in Edge Streams

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

no code implementations11 Aug 2020 Rui Liu, Berrak Sisman, Feilong Bao, Guanglai Gao, Haizhou Li

We propose a multi-task learning scheme for Tacotron training, that optimizes the system to predict both Mel spectrum and phrase breaks.

Multi-Task Learning Speech Synthesis

Asymptotic Convergence Rate of Alternating Minimization for Rank One Matrix Completion

no code implementations11 Aug 2020 Rui Liu, Alex Olshevsky

We study alternating minimization for matrix completion in the simplest possible setting: completing a rank-one matrix from a revealed subset of the entries.

Matrix Completion

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

1 code implementation16 May 2020 Hao Peng, Pei Chen, Rui Liu

Making accurate multi-step-ahead prediction for a complex system is a challenge for many practical applications, especially when only short-term time-series data are available.

Time Series

Keyphrase Prediction With Pre-trained Language Model

no code implementations22 Apr 2020 Rui Liu, Zheng Lin, Weiping Wang

Considering the different characteristics of extractive and generative methods, we propose to divide the keyphrase prediction into two subtasks, i. e., present keyphrase extraction (PKE) and absent keyphrase generation (AKG), to fully exploit their respective advantages.

Keyphrase Extraction Language Modelling

An Attention Transfer Model for Human-Assisted Failure Avoidance in Robot Manipulations

no code implementations11 Feb 2020 Boyi Song, Yuntao Peng, Ruijiao Luo, Rui Liu

With the attention transfer, a robot understands \textit{what} and \textit{where} human concerns are to identify and correct abnormal manipulations.

Proficiency Constrained Multi-Agent Reinforcement Learning for Environment-Adaptive Multi UAV-UGV Teaming

no code implementations10 Feb 2020 Qifei Yu, Zhexin Shen, Yijiang Pang, Rui Liu

Due to heterogeneous robots inside a team and the resilient capabilities of robots, it is challenging to perform a task with an optimal balance between reasonable task allocations and maximum utilization of robot capability.

Multi-agent Reinforcement Learning

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

no code implementations7 Feb 2020 Rui Liu, Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin

As neural networks are increasingly employed in machine learning practice, how to efficiently share limited training resources among a diverse set of model training tasks becomes a crucial issue.

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

no code implementations2 Feb 2020 Rui Liu, Berrak Sisman, Feilong Bao, Guanglai Gao, Haizhou Li

To address this problem, we propose a new training scheme for Tacotron-based TTS, referred to as WaveTTS, that has 2 loss functions: 1) time-domain loss, denoted as the waveform loss, that measures the distortion between the natural and generated waveform; and 2) frequency-domain loss, that measures the Mel-scale acoustic feature loss between the natural and generated acoustic features.

Teacher-Student Training for Robust Tacotron-based TTS

no code implementations7 Nov 2019 Rui Liu, Berrak Sisman, Jingdong Li, Feilong Bao, Guanglai Gao, Haizhou Li

We first train a Tacotron2-based TTS model by always providing natural speech frames to the decoder, that serves as a teacher model.

Knowledge Distillation

Regularized Non-negative Spectral Embedding for Clustering

no code implementations1 Nov 2019 Yifei Wang, Rui Liu, Yong Chen, Hui Zhangs, Zhiwen Ye

Spectral Clustering is a popular technique to split data points into groups, especially for complex datasets.

Joint Lifelong Topic Model and Manifold Ranking for Document Summarization

no code implementations7 Jul 2019 Jianying Lin, Rui Liu, Quanye Jia

The JTMMR model can improve the effect of the manifold ranking method by using the better semantic feature.

Document Summarization Multi-Document Summarization

Conditional Adversarial Generative Flow for Controllable Image Synthesis

no code implementations CVPR 2019 Rui Liu, Yu Liu, Xinyu Gong, Xiaogang Wang, Hongsheng Li

Flow-based generative models show great potential in image synthesis due to its reversible pipeline and exact log-likelihood target, yet it suffers from weak ability for conditional image synthesis, especially for multi-label or unaware conditions.

Image Generation

Benchmark Time Series Database with IoTDB-Benchmark for IoT Scenarios

2 code implementations24 Jan 2019 Rui Liu, Jun Yuan

With the wide application of time series databases (TSDB) in big data fields like cluster monitoring and industrial IoT, there have been developed a number of TSDBs for time series data management.


A Bandit Approach to Maximum Inner Product Search

no code implementations15 Dec 2018 Rui Liu, Tianyi Wu, Barzan Mozafari

There has been substantial research on sub-linear time approximate algorithms for Maximum Inner Product Search (MIPS).

A LSTM Approach with Sub-Word Embeddings for Mongolian Phrase Break Prediction

no code implementations COLING 2018 Rui Liu, Feilong Bao, Guanglai Gao, HUI ZHANG, Yonghe Wang

In this paper, we first utilize the word embedding that focuses on sub-word units to the Mongolian Phrase Break (PB) prediction task by using Long-Short-Term-Memory (LSTM) model.

Dictionary Learning Machine Translation +2

Discrete Factorization Machines for Fast Feature-based Recommendation

1 code implementation6 May 2018 Han Liu, Xiangnan He, Fuli Feng, Liqiang Nie, Rui Liu, Hanwang Zhang

In this paper, we develop a generic feature-based recommendation model, called Discrete Factorization Machine (DFM), for fast and accurate recommendation.

Binarization Quantization

Phase Conductor on Multi-layered Attentions for Machine Comprehension

no code implementations ICLR 2018 Rui Liu, Wei Wei, Weiguang Mao, Maria Chikina

Attention models have been intensively studied to improve NLP tasks such as machine comprehension via both question-aware passage attention model and self-matching attention model.

Question Answering Reading Comprehension

Untangling Blockchain: A Data Processing View of Blockchain Systems

1 code implementation17 Aug 2017 Tien Tuan Anh Dinh, Rui Liu, Meihui Zhang, Gang Chen, Beng Chin Ooi, Ji Wang

Blockchain technologies are gaining massive momentum in the last few years.

Databases Cryptography and Security

BLOCKBENCH: A Framework for Analyzing Private Blockchains

2 code implementations12 Mar 2017 Tien Tuan Anh Dinh, Ji Wang, Gang Chen, Rui Liu, Beng Chin Ooi, Kian-Lee Tan

However, there is a clear lack of a systematic framework with which different systems can be analyzed and compared against each other.

Databases Cryptography and Security Distributed, Parallel, and Cluster Computing

Structural Embedding of Syntactic Trees for Machine Comprehension

no code implementations EMNLP 2017 Rui Liu, Junjie Hu, Wei Wei, Zi Yang, Eric Nyberg

Deep neural networks for machine comprehension typically utilizes only word or character embeddings without explicitly taking advantage of structured linguistic information such as constituency trees and dependency trees.

Question Answering Reading Comprehension

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

no code implementations30 Jan 2017 Rui Liu, Xiaoli Zhang

However, a thorough review, that can reveal latest methodologies to use NL to facilitate human-robot cooperation, is missing.

Autonomous Navigation

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

no code implementations28 Jan 2017 Rui Liu, Xiaoli Zhang

Natural-language-facilitated human-robot cooperation (NLC), in which natural language (NL) is used to share knowledge between a human and a robot for conducting intuitive human-robot cooperation (HRC), is continuously developing in the recent decade.

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

no code implementations20 Nov 2016 Rui Liu, Xiaoli Zhang

To address this NL-based human-machine communication problem and enable the machines to appropriately execute tasks by following the end-user's NL instructions, we developed a Machine-Executable-Plan-Generation (exePlan) method.

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

no code implementations26 Sep 2016 Rui Liu, Hossein Nejati, Seyed Hamid Safavi, Ngai-Man Cheung

We propose an algorithm to uncover the intrinsic low-rank component of a high-dimensional, graph-smooth and grossly-corrupted dataset, under the situations that the underlying graph is unknown.

General Classification

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