Search Results for author: Zhao Ren

Found 12 papers, 3 papers with code

Towards KAB2S: Learning Key Knowledge from Single-Objective Problems to Multi-Objective Problem

no code implementations26 Jun 2022 Xu Wendi, Wang Xianpeng, Guo Qingxin, Song Xiangman, Zhao Ren, Zhao Guodong, Yang Yang, Xu Te, He Dakuo

As "a new frontier in evolutionary computation research", evolutionary transfer optimization(ETO) will overcome the traditional paradigm of zero reuse of related experience and knowledge from solved past problems in researches of evolutionary computation.

Multiobjective Optimization

Example-based Explanations with Adversarial Attacks for Respiratory Sound Analysis

1 code implementation30 Mar 2022 Yi Chang, Zhao Ren, Thanh Tam Nguyen, Wolfgang Nejdl, Björn W. Schuller

Respiratory sound classification is an important tool for remote screening of respiratory-related diseases such as pneumonia, asthma, and COVID-19.

Robust Federated Learning Against Adversarial Attacks for Speech Emotion Recognition

no code implementations9 Mar 2022 Yi Chang, Sofiane Laridi, Zhao Ren, Gregory Palmer, Björn W. Schuller, Marco Fisichella

The proposed framework consists of i) federated learning for data privacy, and ii) adversarial training at the training stage and randomisation at the testing stage for model robustness.

Federated Learning Speech Emotion Recognition

Latent Dynamic Factor Analysis of High-Dimensional Neural Recordings

1 code implementation NeurIPS 2020 Heejong Bong, Zongge Liu, Zhao Ren, Matthew Smith, Valerie Ventura, Kass E. Robert

High-dimensional neural recordings across multiple brain regions can be used to establish functional connectivity with good spatial and temporal resolution.

Time Series

Covariance-engaged Classification of Sets via Linear Programming

no code implementations26 Jun 2020 Zhao Ren, Sungkyu Jung, Xingye Qiao

The convergence rates of estimation errors and risk of the CLIPS classifier are established to show that having multiple observations in a set leads to faster convergence rates, compared to the standard classification situation in which there is only one observation in the set.

Classification General Classification +1

An Early Study on Intelligent Analysis of Speech under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety

no code implementations30 Apr 2020 Jing Han, Kun Qian, Meishu Song, Zijiang Yang, Zhao Ren, Shuo Liu, Juan Liu, Huaiyuan Zheng, Wei Ji, Tomoya Koike, Xiao Li, Zixing Zhang, Yoshiharu Yamamoto, Björn W. Schuller

In particular, by analysing speech recordings from these patients, we construct audio-only-based models to automatically categorise the health state of patients from four aspects, including the severity of illness, sleep quality, fatigue, and anxiety.

Sleep Quality

EmoBed: Strengthening Monomodal Emotion Recognition via Training with Crossmodal Emotion Embeddings

no code implementations23 Jul 2019 Jing Han, Zixing Zhang, Zhao Ren, Björn Schuller

Motivated by this, we propose a novel crossmodal emotion embedding framework called EmoBed, which aims to leverage the knowledge from other auxiliary modalities to improve the performance of an emotion recognition system at hand.

Emotion Classification Emotion Recognition

AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition

no code implementations10 Jul 2019 Fabien Ringeval, Björn Schuller, Michel Valstar, NIcholas Cummins, Roddy Cowie, Leili Tavabi, Maximilian Schmitt, Sina Alisamir, Shahin Amiriparian, Eva-Maria Messner, Siyang Song, Shuo Liu, Ziping Zhao, Adria Mallol-Ragolta, Zhao Ren, Mohammad Soleymani, Maja Pantic

The Audio/Visual Emotion Challenge and Workshop (AVEC 2019) "State-of-Mind, Detecting Depression with AI, and Cross-cultural Affect Recognition" is the ninth competition event aimed at the comparison of multimedia processing and machine learning methods for automatic audiovisual health and emotion analysis, with all participants competing strictly under the same conditions.

Emotion Recognition

User-Friendly Covariance Estimation for Heavy-Tailed Distributions

1 code implementation5 Nov 2018 Yuan Ke, Stanislav Minsker, Zhao Ren, Qiang Sun, Wen-Xin Zhou

We offer a survey of recent results on covariance estimation for heavy-tailed distributions.

Methodology Statistics Theory Statistics Theory

Tuning-Free Heterogeneity Pursuit in Massive Networks

no code implementations13 Jun 2016 Zhao Ren, Yongjian Kang, Yingying Fan, Jinchi Lv

Heterogeneity is often natural in many contemporary applications involving massive data.

Sparse CCA via Precision Adjusted Iterative Thresholding

no code implementations24 Nov 2013 Mengjie Chen, Chao GAO, Zhao Ren, Harrison H. Zhou

Sparse Canonical Correlation Analysis (CCA) has received considerable attention in high-dimensional data analysis to study the relationship between two sets of random variables.

Asymptotic normality and optimalities in estimation of large Gaussian graphical models

no code implementations24 Sep 2013 Zhao Ren, Tingni Sun, Cun-Hui Zhang, Harrison H. Zhou

This paper considers a fundamental question: When is it possible to estimate low-dimensional parameters at parametric square-root rate in a large Gaussian graphical model?

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