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09/13/2023
Leveraging SE(3) Equivariance for Learning 3D Geometric Shape Assembly
Shape assembly aims to reassemble parts (or fragments) into a complete o...
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08/29/2023
Audio Deepfake Detection: A Survey
Audio deepfake detection is an emerging active topic. A growing number o...
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08/28/2023
Time-Frequency Transformer: A Novel Time Frequency Joint Learning Method for Speech Emotion Recognition
In this paper, we propose a novel time-frequency joint learning method f...
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06/25/2023
G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer
Sequential recommendation requires understanding the dynamic patterns of...
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06/02/2023
Learning Local to Global Feature Aggregation for Speech Emotion Recognition
Transformer has emerged in speech emotion recognition (SER) at present. ...
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05/23/2023
ADD 2023: the Second Audio Deepfake Detection Challenge
Audio deepfake detection is an emerging topic in the artificial intellig...
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05/09/2023
Learning Personalized Page Content Ranking Using Customer Representation
On E-commerce stores, there are rich recommendation content to help shop...
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02/23/2023
LightCTS: A Lightweight Framework for Correlated Time Series Forecasting
Correlated time series (CTS) forecasting plays an essential role in many...
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02/17/2023
Deep Implicit Distribution Alignment Networks for Cross-Corpus Speech Emotion Recognition
In this paper, we propose a novel deep transfer learning method called d...
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11/10/2022
EmoFake: An Initial Dataset for Emotion Fake Audio Detection
There are already some datasets used for fake audio detection, such as t...
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10/22/2022
Speech Emotion Recognition via an Attentive Time-Frequency Neural Network
Spectrogram is commonly used as the input feature of deep neural network...
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09/10/2022
A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis
The continued digitization of societal processes translates into a proli...
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08/22/2022
Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey
Deep learning technologies have demonstrated remarkable effectiveness in...
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08/11/2022
Uncertainty Quantification for Traffic Forecasting: A Unified Approach
Uncertainty is an essential consideration for time series forecasting ta...
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07/05/2022
DualAfford: Learning Collaborative Visual Affordance for Dual-gripper Object Manipulation
It is essential yet challenging for future home-assistant robots to unde...
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04/12/2022
VoiceFixer: A Unified Framework for High-Fidelity Speech Restoration
Speech restoration aims to remove distortions in speech signals. Prior m...
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04/07/2022
Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection—Extended Version
Time series data occurs widely, and outlier detection is a fundamental p...
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01/18/2022
Attentional Feature Refinement and Alignment Network for Aircraft Detection in SAR Imagery
Aircraft detection in Synthetic Aperture Radar (SAR) imagery is a challe...
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09/28/2021
VoiceFixer: Toward General Speech Restoration with Neural Vocoder
Speech restoration aims to remove distortions in speech signals. Prior m...
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09/13/2021
Learning to Predict Diverse Human Motions from a Single Image via Mixture Density Networks
Human motion prediction, which plays a key role in computer vision, gene...
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07/05/2021
Data Lake Ingestion Management
Data Lake (DL) is a Big Data analysis solution which ingests raw data in...
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06/28/2021
VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects
Perceiving and manipulating 3D articulated objects (e.g., cabinets, door...
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06/11/2021
HIFI: Anomaly Detection for Multivariate Time Series with High-order Feature Interactions
Monitoring complex systems results in massive multivariate time series d...
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05/06/2021
A probabilistic model for missing traffic volume reconstruction based on data fusion
Traffic volume information is critical for intelligent transportation sy...
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04/13/2021
Improving Long-Tailed Classification from Instance Level
Data in the real world tends to exhibit a long-tailed label distribution...
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09/15/2020
Stratified and Time-aware Sampling based Adaptive Ensemble Learning for Streaming Recommendations
Recommender systems have played an increasingly important role in provid...
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09/14/2020
Double-Wing Mixture of Experts for Streaming Recommendations
Streaming Recommender Systems (SRSs) commonly train recommendation model...
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01/11/2019
From Plots to Endings: A Reinforced Pointer Generator for Story Ending Generation
We introduce a new task named Story Ending Generation (SEG), whic-h aims...
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01/08/2019
Multi-Perspective Fusion Network for Commonsense Reading Comprehension
Commonsense Reading Comprehension (CRC) is a significantly challenging t...
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10/03/2018
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
This paper reviews the first challenge on efficient perceptual image enh...
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03/22/2018
Kalman Filter, Unscented Filter and Particle Flow Filter on Non-linear Models
Filters, especially wide range of Kalman Filters have shown their impact...
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02/09/2018
Heterogeneous and Multidimensional Clairvoyant Dynamic Bin Packing for Virtual Machine Placement
Although the public cloud still occupies the largest portion of the tota...
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09/12/2017
A Practically Competitive and Provably Consistent Algorithm for Uplift Modeling
Randomized experiments have been critical tools of decision making for d...
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05/23/2017
