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09/06/2023
Spatio-Temporal Contrastive Self-Supervised Learning for POI-level Crowd Flow Inference
Accurate acquisition of crowd flow at Points of Interest (POIs) is pivot...
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08/23/2023
CED: Consistent ensemble distillation for audio tagging
Augmentation and knowledge distillation (KD) are well-established techni...
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06/28/2023
Focus on the Sound around You: Monaural Target Speaker Extraction via Distance and Speaker Information
Previously, Target Speaker Extraction (TSE) has yielded outstanding perf...
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06/25/2023
AV-SepFormer: Cross-Attention SepFormer for Audio-Visual Target Speaker Extraction
Visual information can serve as an effective cue for target speaker extr...
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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...
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05/29/2023
Streaming Audio Transformers for Online Audio Tagging
Transformers have emerged as a prominent model framework for audio taggi...
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04/16/2023
AutoSTL: Automated Spatio-Temporal Multi-Task Learning
Spatio-Temporal prediction plays a critical role in smart city construct...
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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...
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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...
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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...
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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...
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12/07/2022
Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction
Robust prediction of citywide traffic flows at different time periods pl...
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11/29/2022
AirFormer: Predicting Nationwide Air Quality in China with Transformers
Air pollution is a crucial issue affecting human health and livelihoods,...
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11/25/2022
Language-Assisted 3D Feature Learning for Semantic Scene Understanding
Learning descriptive 3D features is crucial for understanding 3D scenes ...
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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...
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09/23/2022
UniKW-AT: Unified Keyword Spotting and Audio Tagging
Within the audio research community and the industry, keyword spotting (...
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07/12/2022
Contrastive Deep Supervision
The success of deep learning is usually accompanied by the growth in neu...
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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...
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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...
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04/28/2022
Pseudo strong labels for large scale weakly supervised audio tagging
Large-scale audio tagging datasets inevitably contain imperfect labels, ...
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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...
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01/22/2022
HiSTGNN: Hierarchical Spatio-temporal Graph Neural Networks for Weather Forecasting
Weather Forecasting is an attractive challengeable task due to its influ...
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10/08/2021
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network
Accurate forecasting of citywide traffic flow has been playing critical ...
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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...
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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...
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12/18/2020
Fairness and Accuracy in Federated Learning
In the federated learning setting, multiple clients jointly train a mode...
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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...
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02/28/2020
Revisiting Convolutional Neural Networks for Urban Flow Analytics
Convolutional Neural Networks (CNNs) have been widely adopted in raster-...
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02/18/2020
Federated Extra-Trees with Privacy Preserving
It is commonly observed that the data are scattered everywhere and diffi...
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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...
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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...
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05/24/2019
Federated Forest
Most real-world data are scattered across different companies or governm...
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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, ...
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02/06/2019
UrbanFM: Inferring Fine-Grained Urban Flows
Urban flow monitoring systems play important roles in smart city efforts...
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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...
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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-...
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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...
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09/28/2018
HyperST-Net: Hypernetworks for Spatio-Temporal Forecasting
Spatio-temporal (ST) data, which represent multiple time series data cor...
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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 ...
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03/27/2018
Empirical Evaluation of Speaker Adaptation on DNN based Acoustic Model
Speaker adaptation aims to estimate a speaker specific acoustic model fr...
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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...
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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...
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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...
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10/06/2016
Parallel Large-Scale Attribute Reduction on Cloud Systems
The rapid growth of emerging information technologies and application pa...
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10/01/2016