b'Jing Han'

research

∙ 08/21/2023

Refashioning Emotion Recognition Modelling: The Advent of Generalised Large Models

After the inception of emotion recognition or affective computing, it ha...

0 Zixing Zhang, et al. ∙

research

∙ 03/13/2023

Cross-device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection

Federated learning (FL) aided health diagnostic models can incorporate d...

0 Tong Xia, et al. ∙

research

∙ 04/23/2022

Indoor simultaneous localization and mapping based on fringe projection profilometry

Simultaneous Localization and Mapping (SLAM) plays an important role in ...

0 fcq, et al. ∙

research

∙ 02/17/2022

A Summary of the ComParE COVID-19 Challenges

The COVID-19 pandemic has caused massive humanitarian and economic damag...

13 Harry Coppock, et al. ∙

research

∙ 01/04/2022

COVID-19 Disease Progression Prediction via Audio Signals: A Longitudinal Study

Recent work has shown the potential of the use of audio data in screenin...

0 Ting Dang, et al. ∙

research

∙ 12/16/2021

Benchmarking Uncertainty Qualification on Biosignal Classification Tasks under Dataset Shift

A biosignal is a signal that can be continuously measured from human bod...

0 Tong Xia, et al. ∙

research

∙ 12/10/2021

A Reinforcement Learning-based Adaptive Control Model for Future Street Planning, An Algorithm and A Case Study

With the emerging technologies in Intelligent Transportation System (ITS...

0 Qiming Ye, et al. ∙

research

∙ 09/06/2021

End to end hyperspectral imaging system with coded compression imaging process

Hyperspectral images (HSIs) can provide rich spatial and spectral inform...

10 Hui Xie, et al. ∙

research

∙ 08/09/2021

Segmentation-free Heart Pathology Detection Using Deep Learning

Cardiovascular (CV) diseases are the leading cause of death in the world...

0 Erika Bondareva, et al. ∙

research

∙ 06/29/2021

Sounds of COVID-19: exploring realistic performance of audio-based digital testing

Researchers have been battling with the question of how we can identify ...

0 Jing Han, et al. ∙

research

∙ 04/19/2021

Fitbeat: COVID-19 Estimation based on Wristband Heart Rate

This study investigates the potential of deep learning methods to identi...

0 Shuo Liu, et al. ∙

research

∙ 04/05/2021

Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data

Recently, sound-based COVID-19 detection studies have shown great promis...

0 Tong Xia, et al. ∙

research

∙ 03/26/2021

Base Station Network Traffic Prediction Approach Based on LMA-DeepAR

Accurate network traffic prediction of base station cell is very vital f...

0 Jiachen Zhang, et al. ∙

research

∙ 02/24/2021

The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation Primates

The INTERSPEECH 2021 Computational Paralinguistics Challenge addresses f...

1 Björn W. Schuller, et al. ∙

research

∙ 02/10/2021

Exploring Automatic COVID-19 Diagnosis via voice and symptoms from Crowdsourced Data

The development of fast and accurate screening tools, which could facili...

0 Jing Han, et al. ∙

research

∙ 12/28/2020

Compositional Prototype Network with Multi-view Comparision for Few-Shot Point Cloud Semantic Segmentation

Point cloud segmentation is a fundamental visual understanding task in 3...

0 Xiaoyu Chen, et al. ∙

research

∙ 11/18/2020

CAA-Net: Conditional Atrous CNNs with Attention for Explainable Device-robust Acoustic Scene Classification

Acoustic Scene Classification (ASC) aims to classify the environment in ...

0 Zhao Ren, et al. ∙

research

∙ 08/09/2020

LiDAR Data Enrichment Using Deep Learning Based on High-Resolution Image: An Approach to Achieve High-Performance LiDAR SLAM Using Low-cost LiDAR

LiDAR-based SLAM algorithms are extensively studied to providing robust ...

22 Jiang Yue, et al. ∙

research

∙ 06/10/2020

Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data

Audio signals generated by the human body (e.g., sighs, breathing, heart...

0 Chloë Brown, et al. ∙

research

∙ 04/30/2020

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

The COVID-19 outbreak was announced as a global pandemic by the World He...

0 Jing Han, et al. ∙

research

∙ 10/20/2019

Learning-based real-time method to looking through scattering medium oriented to practical application

Strong scattering media brings great difficulties to optical imaging, wh...

41 Enlai Guo, et al. ∙

research

∙ 07/23/2019

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

Despite remarkable advances in emotion recognition, they are severely re...

0 Jing Han, et al. ∙

research

∙ 06/29/2019

Non-destructive three-dimensional measurement of hand vein based on self-supervised network

At present, supervised stereo methods based on deep neural network have ...

4 Xiaoyu Chen, et al. ∙

research

∙ 06/29/2019

High Sensitivity Snapshot Spectrometer Based on Deep Network Unmixing

In this paper, we present a convolution neural network based method to r...

2 Xiaoyu Chen, et al. ∙

research

∙ 06/26/2019

Low-Complexity Equalization of MIMO-OSDM

Orthogonal signal-division multiplexing (OSDM) is an attractive alternat...

0 Jing Han, et al. ∙

research

∙ 03/29/2019

Snore-GANs: Improving Automatic Snore Sound Classification with Synthesized Data

One of the frontier issues that severely hamper the development of autom...

0 Zixing Zhang, et al. ∙

research

∙ 03/23/2019

Residual Pyramid Learning for Single-Shot Semantic Segmentation

Pixel-level semantic segmentation is a challenging task with a huge amou...

0 Xiaoyu Chen, et al. ∙

research

∙ 01/09/2019

SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild

Natural human-computer interaction and audio-visual human behaviour sens...

8 Jean Kossaifi, et al. ∙

research

∙ 10/26/2018

Scaling Speech Enhancement in Unseen Environments with Noise Embeddings

We address the problem of speech enhancement generalisation to unseen en...

0 Gil Keren, et al. ∙

research

∙ 09/26/2018

Dynamic Difficulty Awareness Training for Continuous Emotion Prediction

Time-continuous emotion prediction has become an increasingly compelling...

0 Zixing Zhang, et al. ∙

research

∙ 09/21/2018

Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives

Over the past few years, adversarial training has become an extremely ac...

0 Jing Han, et al. ∙

research

∙ 07/27/2017

Learning Audio Sequence Representations for Acoustic Event Classification

Acoustic Event Classification (AEC) has become a significant task for ma...

0 Zixing Zhang, et al. ∙

research

∙ 05/12/2017

Learning to Refine Object Contours with a Top-Down Fully Convolutional Encoder-Decoder Network

We develop a novel deep contour detection algorithm with a top-down full...

0 Yahui Liu, et al. ∙

research

∙ 05/13/2002

From Alife Agents to a Kingdom of N Queens

This paper presents a new approach to solving N-queen problems, which in...

0 Jing Han, et al. ∙

Jing Han

Featured Co-authors