Song Liu

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University of Wollongong ∙ University of Bristol ∙ SAMSUNG

Lecturer in Data Science and A.I. at Computer Science Department, University of Bristol

HiT: Hierarchical Transformer with Momentum Contrast for Video-Text Retrieval

Video-Text Retrieval has been a hot research topic with the explosion of...
03/28/2021 ∙ by Song Liu, et al. ∙ 10 ∙ share

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Posterior Ratio Estimation for Latent Variables

Density Ratio Estimation has attracted attention from machine learning c...
02/15/2020 ∙ by Yulong Zhang, et al. ∙ 6 ∙ share

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Model Reuse with Reduced Kernel Mean Embedding Specification

Given a publicly available pool of machine learning models constructed f...
01/20/2020 ∙ by Xi-Zhu Wu, et al. ∙ 26 ∙ share

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Estimating Density Models with Complex Truncation Boundaries

Truncated densities are probability density functions defined on truncat...
10/09/2019 ∙ by Song Liu, et al. ∙ 6 ∙ share

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Two-sample inference for high-dimensional Markov networks

Markov networks are frequently used in sciences to represent conditional...
05/01/2019 ∙ by Byol Kim, et al. ∙ 0 ∙ share

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Personalized Dialogue Generation with Diversified Traits

Endowing a dialogue system with particular personality traits is essenti...
01/28/2019 ∙ by Yinhe Zheng, et al. ∙ 0 ∙ share

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Model Inference with Stein Density Ratio Estimation

The Kullback-Leilber divergence from model to data is a classic goodness...
05/18/2018 ∙ by Song Liu, et al. ∙ 0 ∙ share

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The electromagnetic waves propagation in unmagnetized plasma media using parallelized finite-difference time-domain method

The finite-difference time-domain (FDTD) method has been commonly utiliz...
09/04/2017 ∙ by Lang-lang Xiong, et al. ∙ 0 ∙ share

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GPU-Accelerated Parallel Finite-Difference Time-Domain Method for Electromagnetic Waves Propagation in Unmagnetized Plasma Media

The finite-difference time-domain (FDTD) method has been commonly utiliz...
09/04/2017 ∙ by Xi-min Wang, et al. ∙ 0 ∙ share

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Trimmed Density Ratio Estimation

Density ratio estimation is a vital tool in both machine learning and st...
03/09/2017 ∙ by Song Liu, et al. ∙ 0 ∙ share

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Interpreting Outliers: Localized Logistic Regression for Density Ratio Estimation

We propose an inlier-based outlier detection method capable of both iden...
02/21/2017 ∙ by Makoto Yamada, et al. ∙ 0 ∙ share

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Large-scale Isolated Gesture Recognition Using Convolutional Neural Networks

This paper proposes three simple, compact yet effective representations ...
01/07/2017 ∙ by Pichao Wang, et al. ∙ 0 ∙ share

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Learning Sparse Structural Changes in High-dimensional Markov Networks: A Review on Methodologies and Theories

Recent years have seen an increasing popularity of learning the sparse c...
01/06/2017 ∙ by Song Liu, et al. ∙ 0 ∙ share

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Large-scale Continuous Gesture Recognition Using Convolutional Neural Networks

This paper addresses the problem of continuous gesture recognition from ...
08/22/2016 ∙ by Pichao Wang, et al. ∙ 0 ∙ share

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Planogram Compliance Checking Based on Detection of Recurring Patterns

In this paper, a novel method for automatic planogram compliance checkin...
02/22/2016 ∙ by Song Liu, et al. ∙ 0 ∙ share

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Creating Simplified 3D Models with High Quality Textures

This paper presents an extension to the KinectFusion algorithm which all...
02/22/2016 ∙ by Song Liu, et al. ∙ 0 ∙ share

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Estimating Posterior Ratio for Classification: Transfer Learning from Probabilistic Perspective

Transfer learning assumes classifiers of similar tasks share certain par...
06/09/2015 ∙ by Song Liu, et al. ∙ 0 ∙ share

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Structure Learning of Partitioned Markov Networks

We learn the structure of a Markov Network between two groups of random ...
04/02/2015 ∙ by Song Liu, et al. ∙ 0 ∙ share

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Support Consistency of Direct Sparse-Change Learning in Markov Networks

We study the problem of learning sparse structure changes between two Ma...
07/02/2014 ∙ by Song Liu, et al. ∙ 0 ∙ share

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Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation

We propose a new method for detecting changes in Markov network structur...
04/25/2013 ∙ by Song Liu, et al. ∙ 0 ∙ share

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Density-Difference Estimation

We address the problem of estimating the difference between two probabil...
06/30/2012 ∙ by Masashi Sugiyama, et al. ∙ 0 ∙ share

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Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation

The objective of change-point detection is to discover abrupt property c...
03/02/2012 ∙ by Song Liu, et al. ∙ 0 ∙ share

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Song Liu

Featured Co-authors

Masashi Sugiyama

Samuel Kaski

Minlie Huang

Taiji Suzuki

Zhi-Hua Zhou

Makoto Yamada

Mladen Kolar

Kenji Fukumizu

Ichiro Takeuchi

Wanqing Li

Carl Henrik Ek

HiT: Hierarchical Transformer with Momentum Contrast for Video-Text Retrieval

Posterior Ratio Estimation for Latent Variables

Model Reuse with Reduced Kernel Mean Embedding Specification

Estimating Density Models with Complex Truncation Boundaries

Two-sample inference for high-dimensional Markov networks

Personalized Dialogue Generation with Diversified Traits

Model Inference with Stein Density Ratio Estimation

The electromagnetic waves propagation in unmagnetized plasma media using parallelized finite-difference time-domain method

GPU-Accelerated Parallel Finite-Difference Time-Domain Method for Electromagnetic Waves Propagation in Unmagnetized Plasma Media

Trimmed Density Ratio Estimation

Interpreting Outliers: Localized Logistic Regression for Density Ratio Estimation

Large-scale Isolated Gesture Recognition Using Convolutional Neural Networks

Learning Sparse Structural Changes in High-dimensional Markov Networks: A Review on Methodologies and Theories

Large-scale Continuous Gesture Recognition Using Convolutional Neural Networks

Planogram Compliance Checking Based on Detection of Recurring Patterns

Creating Simplified 3D Models with High Quality Textures

Estimating Posterior Ratio for Classification: Transfer Learning from Probabilistic Perspective

Structure Learning of Partitioned Markov Networks

Support Consistency of Direct Sparse-Change Learning in Markov Networks

Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation

Density-Difference Estimation

Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation