b'Junbo Zhang'

research

∙ 05/30/2023

Understanding temporally weakly supervised training: A case study for keyword spotting

The currently most prominent algorithm to train keyword spotting (KWS) m...

0 Heinrich Dinkel, et al. ∙

research

∙ 05/29/2023

Streaming Audio Transformers for Online Audio Tagging

Transformers have emerged as a prominent model framework for audio taggi...

0 Heinrich Dinkel, et al. ∙

research

∙ 04/16/2023

AutoSTL: Automated Spatio-Temporal Multi-Task Learning

Spatio-Temporal prediction plays a critical role in smart city construct...

0 Zijian Zhang, et al. ∙

research

∙ 03/25/2023

Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey

With the development of sophisticated sensors and large database technol...

0 Guangyin Jin, et al. ∙

research

∙ 03/08/2023

CLIP-FO3D: Learning Free Open-world 3D Scene Representations from 2D Dense CLIP

Training a 3D scene understanding model requires complicated human annot...

0 Junbo Zhang, et al. ∙

research

∙ 03/03/2023

Unified Keyword Spotting and Audio Tagging on Mobile Devices with Transformers

Keyword spotting (KWS) is a core human-machine-interaction front-end tas...

0 Heinrich Dinkel, et al. ∙

research

∙ 12/16/2022

Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?

The success of deep learning heavily relies on large-scale data with com...

1 Runpei Dong, et al. ∙

research

∙ 12/07/2022

Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction

Robust prediction of citywide traffic flows at different time periods pl...

0 Jiahao Ji, et al. ∙

research

∙ 11/29/2022

AirFormer: Predicting Nationwide Air Quality in China with Transformers

Air pollution is a crucial issue affecting human health and livelihoods,...

0 Yuxuan Liang, et al. ∙

research

∙ 11/25/2022

Language-Assisted 3D Feature Learning for Semantic Scene Understanding

Learning descriptive 3D features is crucial for understanding 3D scenes ...

0 Junbo Zhang, et al. ∙

research

∙ 09/30/2022

An empirical study of weakly supervised audio tagging embeddings for general audio representations

We study the usability of pre-trained weakly supervised audio tagging (A...

0 Heinrich Dinkel, et al. ∙

research

∙ 09/23/2022

UniKW-AT: Unified Keyword Spotting and Audio Tagging

Within the audio research community and the industry, keyword spotting (...

0 Heinrich Dinkel, et al. ∙

research

∙ 07/12/2022

Contrastive Deep Supervision

The success of deep learning is usually accompanied by the growth in neu...

0 Linfeng Zhang, et al. ∙

research

∙ 06/01/2022

Rethinking the Augmentation Module in Contrastive Learning: Learning Hierarchical Augmentation Invariance with Expanded Views

A data augmentation module is utilized in contrastive learning to transf...

0 Junbo Zhang, et al. ∙

research

∙ 05/31/2022

A Cross-City Federated Transfer Learning Framework: A Case Study on Urban Region Profiling

Data insufficiency problem (i.e., data missing and label scarcity issues...

0 Gaode Chen, et al. ∙

research

∙ 04/28/2022

Pseudo strong labels for large scale weakly supervised audio tagging

Large-scale audio tagging datasets inevitably contain imperfect labels, ...

0 Heinrich Dinkel, et al. ∙

research

∙ 04/06/2022

Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow Prediction

Urban metro flow prediction is of great value for metro operation schedu...

0 Peng Xie, et al. ∙

research

∙ 01/22/2022

HiSTGNN: Hierarchical Spatio-temporal Graph Neural Networks for Weather Forecasting

Weather Forecasting is an attractive challengeable task due to its influ...

0 Minbo Ma, et al. ∙

research

∙ 10/08/2021

Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network

Accurate forecasting of citywide traffic flow has been playing critical ...

0 Xiyue Zhang, et al. ∙

research

∙ 06/13/2021

GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio

This paper introduces GigaSpeech, an evolving, multi-domain English spee...

0 Guoguo Chen, et al. ∙

research

∙ 04/03/2021

speechocean762: An Open-Source Non-native English Speech Corpus For Pronunciation Assessment

This paper introduces a new open-source speech corpus named "speechocean...

0 Junbo Zhang, et al. ∙

research

∙ 12/18/2020

Fairness and Accuracy in Federated Learning

In the federated learning setting, multiple clients jointly train a mode...

4 Wei Huang, et al. ∙

research

∙ 11/09/2020

Data Augmentation For Children's Speech Recognition – The "Ethiopian" System For The SLT 2021 Children Speech Recognition Challenge

This paper presents the "Ethiopian" system for the SLT 2021 Children Spe...

0 Guoguo Chen, et al. ∙

research

∙ 02/28/2020

Revisiting Convolutional Neural Networks for Urban Flow Analytics

Convolutional Neural Networks (CNNs) have been widely adopted in raster-...

0 Yuxuan Liang, et al. ∙

research

∙ 02/18/2020

Federated Extra-Trees with Privacy Preserving

It is commonly observed that the data are scattered everywhere and diffi...

12 Yang Liu, et al. ∙

research

∙ 08/26/2019

Urban flows prediction from spatial-temporal data using machine learning: A survey

Urban spatial-temporal flows prediction is of great importance to traffi...

19 Peng Xie, et al. ∙

research

∙ 06/05/2019

DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction

This paper focuses on two related subtasks of aspect-based sentiment ana...

0 Huaishao Luo, et al. ∙

research

∙ 05/24/2019

Federated Forest

Most real-world data are scattered across different companies or governm...

0 Yang Liu, et al. ∙

research

∙ 03/19/2019

Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks

Being able to predict the crowd flows in each and every part of a city, ...

0 Junkai Sun, et al. ∙

research

∙ 02/06/2019

UrbanFM: Inferring Fine-Grained Urban Flows

Urban flow monitoring systems play important roles in smart city efforts...

0 Yuxuan Liang, et al. ∙

research

∙ 02/06/2019

A Predictor-Corrector Method for Power System Variable Step Numerical Simulation

This letter proposes a predictor-corrector method to strike a balance be...

0 Yiming Cai, et al. ∙

research

∙ 11/01/2018

End-to-end Models with auditory attention in Multi-channel Keyword Spotting

In this paper, we propose an attention-based end-to-end model for multi-...

0 Haitong Zhang, et al. ∙

research

∙ 11/01/2018

Sequence-to-sequence Models for Small-Footprint Keyword Spotting

In this paper, we propose a sequence-to-sequence model for keyword spott...

0 Haitong Zhang, et al. ∙

research

∙ 09/28/2018

HyperST-Net: Hypernetworks for Spatio-Temporal Forecasting

Spatio-temporal (ST) data, which represent multiple time series data cor...

0 Zheyi Pan, et al. ∙

research

∙ 03/29/2018

Attention-based End-to-End Models for Small-Footprint Keyword Spotting

In this paper, we propose an attention-based end-to-end neural approach ...

0 Changhao Shan, et al. ∙

research

∙ 03/27/2018

Empirical Evaluation of Speaker Adaptation on DNN based Acoustic Model

Speaker adaptation aims to estimate a speaker specific acoustic model fr...

0 Ke Wang, et al. ∙

research

∙ 03/27/2018

Investigating Generative Adversarial Networks based Speech Dereverberation for Robust Speech Recognition

We investigate the use of generative adversarial networks (GANs) in spee...

0 Ke Wang, et al. ∙

research

∙ 07/22/2017

Attention-Based End-to-End Speech Recognition on Voice Search

Recently, there has been an increasing interest in end-to-end speech rec...

0 Changhao Shan, et al. ∙

research

∙ 01/10/2017

Predicting Citywide Crowd Flows Using Deep Spatio-Temporal Residual Networks

Forecasting the flow of crowds is of great importance to traffic managem...

0 Junbo Zhang, et al. ∙

research

∙ 10/06/2016

Parallel Large-Scale Attribute Reduction on Cloud Systems

The rapid growth of emerging information technologies and application pa...

0 Junbo Zhang, et al. ∙

research

∙ 10/01/2016

Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction

Forecasting the flow of crowds is of great importance to traffic managem...

0 Junbo Zhang, et al. ∙

Junbo Zhang

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