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09/21/2023
Multi-Task Cooperative Learning via Searching for Flat Minima
Multi-task learning (MTL) has shown great potential in medical image ana...
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10/26/2022
TSUP Speaker Diarization System for Conversational Short-phrase Speaker Diarization Challenge
This paper describes the TSUP team's submission to the ISCSLP 2022 conve...
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08/31/2022
LawBreaker: An Approach for Specifying Traffic Laws and Fuzzing Autonomous Vehicles
Autonomous driving systems (ADSs) must be tested thoroughly before they ...
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08/25/2022
Two-stage Fall Events Classification with Human Skeleton Data
Fall detection and classification become an imper- ative problem for hea...
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06/10/2022
Feature Learning and Ensemble Pre-Tasks Based Self-Supervised Speech Denoising and Dereverberation
Self-supervised learning (SSL) achieves great success in monaural speech...
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05/24/2022
Model-Based and Graph-Based Priors for Group Testing
The goal of the group testing problem is to identify a set of defective ...
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01/21/2022
Heat Conduction Plate Layout Optimization using Physics-driven Convolutional Neural Networks
The layout optimization of the heat conduction is essential during desig...
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12/21/2021
Self-Supervised Learning based Monaural Speech Enhancement with Multi-Task Pre-Training
In self-supervised learning, it is challenging to reduce the gap between...
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12/21/2021
Self-Supervised Learning based Monaural Speech Enhancement with Complex-Cycle-Consistent
Recently, self-supervised learning (SSL) techniques have been introduced...
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12/11/2021
U-shaped Transformer with Frequency-Band Aware Attention for Speech Enhancement
The state-of-the-art speech enhancement has limited performance in speec...
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12/09/2021
Domain Adaptation and Autoencoder Based Unsupervised Speech Enhancement
As a category of transfer learning, domain adaptation plays an important...
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10/31/2021
Enhancing Top-N Item Recommendations by Peer Collaboration
Deep neural networks (DNN) have achieved great success in the recommende...
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05/31/2021
Non-Convex Tensor Low-Rank Approximation for Infrared Small Target Detection
Infrared small target detection plays an important role in many infrared...
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02/20/2021
FM^2: Field-matrixed Factorization Machines for Recommender Systems
Click-through rate (CTR) prediction plays a critical role in recommender...
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12/14/2020
StackRec: Efficient Training of Very Deep Sequential Recommender Models by Layer Stacking
Deep learning has brought great progress for the sequential recommendati...
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09/28/2020
MPG-Net: Multi-Prediction Guided Network for Segmentation of Retinal Layers in OCT Images
Optical coherence tomography (OCT) is a commonly-used method of extracti...
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04/21/2020
A Generic Network Compression Framework for Sequential Recommender Systems
Sequential recommender systems (SRS) have become the key technology in c...
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06/07/2018
