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07/19/2023
LightPath: Lightweight and Scalable Path Representation Learning
Movement paths are used widely in intelligent transportation and smart c...
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07/10/2023
The Linked Data Benchmark Council (LDBC): Driving competition and collaboration in the graph data management space
Graph data management is instrumental for several use cases such as reco...
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07/06/2023
Origin-Destination Travel Time Oracle for Map-based Services
Given an origin (O), a destination (D), and a departure time (T), an Ori...
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06/29/2023
Spectral Batch Normalization: Normalization in the Frequency Domain
Regularization is a set of techniques that are used to improve the gener...
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06/29/2023
Weight Compander: A Simple Weight Reparameterization for Regularization
Regularization is a set of techniques that are used to improve the gener...
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06/28/2023
The LDBC Financial Benchmark
The Linked Data Benchmark Council's Financial Benchmark (LDBC FinBench) ...
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06/23/2023
A Semi-Paired Approach For Label-to-Image Translation
Data efficiency, or the ability to generalize from a few labeled data, r...
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06/08/2023
A Crystal-Specific Pre-Training Framework for Crystal Material Property Prediction
Crystal property prediction is a crucial aspect of developing novel mate...
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06/01/2023
Universal Test-time Adaptation through Weight Ensembling, Diversity Weighting, and Prior Correction
Since distribution shifts are likely to occur during test-time and can d...
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05/23/2023
Learning Optimal Biomarker-Guided Treatment Policy for Chronic Disorders
Electroencephalogram (EEG) provides noninvasive measures of brain activi...
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05/16/2023
Towards Pragmatic Semantic Image Synthesis for Urban Scenes
The need for large amounts of training and validation data is a huge con...
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05/16/2023
Wavelet-based Unsupervised Label-to-Image Translation
Semantic Image Synthesis (SIS) is a subclass of image-to-image translati...
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05/16/2023
Urban-StyleGAN: Learning to Generate and Manipulate Images of Urban Scenes
A promise of Generative Adversarial Networks (GANs) is to provide cheap ...
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03/31/2023
AI-Oriented Two-Phase Multi-Factor Authentication in SAGINs: Prospects and Challenges
Space-air-ground integrated networks (SAGINs), which have emerged as an ...
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03/14/2023
Cooperative Jamming and Relay Selection for Covert Communications
This paper investigates the covert communications via cooperative jammin...
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03/09/2023
NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forging
Privacy and memory are two recurring themes in a broad conversation abou...
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02/24/2023
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation – Extended Version
Due to the sweeping digitalization of processes, increasingly vast amoun...
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02/03/2023
Reinforcing User Retention in a Billion Scale Short Video Recommender System
Recently, short video platforms have achieved rapid user growth by recom...
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01/11/2023
LSDM: Long-Short Diffeomorphic Motion for Weakly-Supervised Ultrasound Landmark Tracking
Accurate tracking of an anatomical landmark over time has been of high i...
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12/20/2022
A Pattern Discovery Approach to Multivariate Time Series Forecasting
Multivariate time series forecasting constitutes important functionality...
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12/09/2022
FLAG3D: A 3D Fitness Activity Dataset with Language Instruction
With the continuously thriving popularity around the world, fitness acti...
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12/08/2022
AutoPINN: When AutoML Meets Physics-Informed Neural Networks
Physics-Informed Neural Networks (PINNs) have recently been proposed to ...
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11/29/2022
Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting
Sensors in cyber-physical systems often capture interconnected processes...
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11/23/2022
Robust Mean Teacher for Continual and Gradual Test-Time Adaptation
Since experiencing domain shifts during test-time is inevitable in pract...
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11/22/2022
Variation-based Cause Effect Identification
Mining genuine mechanisms underlying the complex data generation process...
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11/16/2022
Prompt Tuning for Parameter-efficient Medical Image Segmentation
Neural networks pre-trained on a self-supervision scheme have become the...
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10/11/2022
Towards Discriminative and Transferable One-Stage Few-Shot Object Detectors
Recent object detection models require large amounts of annotated data f...
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09/30/2022
Experts in the Loop: Conditional Variable Selection for Accelerating Post-Silicon Analysis Based on Deep Learning
Post-silicon validation is one of the most critical processes in modern ...
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09/25/2022
Deep Feature Selection Using a Novel Complementary Feature Mask
Feature selection has drawn much attention over the last decades in mach...
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09/22/2022
CMGAN: Conformer-Based Metric-GAN for Monaural Speech Enhancement
Convolution-augmented transformers (Conformers) are recently proposed in...
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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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08/16/2022
Gradual Test-Time Adaptation by Self-Training and Style Transfer
Domain shifts at test-time are inevitable in practice. Test-time adaptat...
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08/12/2022
Continual Unsupervised Domain Adaptation for Semantic Segmentation using a Class-Specific Transfer
In recent years, there has been tremendous progress in the field of sema...
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07/01/2022
A Deep-Learning-Aided Pipeline for Efficient Post-Silicon Tuning
In post-silicon validation, tuning is to find the values for the tuning ...
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07/01/2022
Conditional Variable Selection for Intelligent Test
Intelligent test requires efficient and effective analysis of high-dimen...
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06/22/2022
Federated Latent Class Regression for Hierarchical Data
Federated Learning (FL) allows a number of agents to participate in trai...
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06/06/2022
Conditional Seq2Seq model for the time-dependent two-level system
We apply the deep learning neural network architecture to the two-level ...
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05/18/2022
TTAPS: Test-Time Adaption by Aligning Prototypes using Self-Supervision
Nowadays, deep neural networks outperform humans in many tasks. However,...
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05/18/2022
(O,G)-granular variable precision fuzzy rough sets based on overlap and grouping functions
Since Bustince et al. introduced the concepts of overlap and grouping fu...
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04/28/2022
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting–Full Version
A variety of real-world applications rely on far future information to m...
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04/28/2022
Improving the estimation of directional area scattering factor (DASF) from canopy reflectance: theoretical basis and validation
Directional area scattering factor (DASF) is a critical canopy structura...
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04/11/2022
Few-Shot Object Detection in Unseen Domains
Few-shot object detection (FSOD) has thrived in recent years to learn no...
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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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03/30/2022
Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning – Extended Version
In step with the digitalization of transportation, we are witnessing a g...
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03/29/2022
Towards Spatio-Temporal Aware Traffic Time Series Forecasting–Full Version
Traffic time series forecasting is challenging due to complex spatio-tem...
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03/28/2022
CMGAN: Conformer-based Metric GAN for Speech Enhancement
Recently, convolution-augmented transformer (Conformer) has achieved pro...
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03/07/2022
An Unsupervised Domain Adaptive Approach for Multimodal 2D Object Detection in Adverse Weather Conditions
Integrating different representations from complementary sensing modalit...
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02/17/2022
Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs
Multivariate time series forecasting has long received significant atten...
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02/08/2022