b'Bin Yang'

research

∙ 07/19/2023

LightPath: Lightweight and Scalable Path Representation Learning

Movement paths are used widely in intelligent transportation and smart c...

0 Sean Bin Yang, et al. ∙

research

∙ 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...

0 Gábor Szárnyas, et al. ∙

research

∙ 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...

0 Yan Lin, et al. ∙

research

∙ 06/29/2023

Spectral Batch Normalization: Normalization in the Frequency Domain

Regularization is a set of techniques that are used to improve the gener...

0 Rinor Cakaj, et al. ∙

research

∙ 06/29/2023

Weight Compander: A Simple Weight Reparameterization for Regularization

Regularization is a set of techniques that are used to improve the gener...

0 Rinor Cakaj, et al. ∙

research

∙ 06/28/2023

The LDBC Financial Benchmark

The Linked Data Benchmark Council's Financial Benchmark (LDBC FinBench) ...

0 Shipeng Qi, et al. ∙

research

∙ 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...

0 George Eskandar, et al. ∙

research

∙ 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...

0 Haomin Yu, et al. ∙

research

∙ 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...

0 Robert A. Marsden, et al. ∙

research

∙ 05/23/2023

Learning Optimal Biomarker-Guided Treatment Policy for Chronic Disorders

Electroencephalogram (EEG) provides noninvasive measures of brain activi...

0 Bin Yang, et al. ∙

research

∙ 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...

0 George Eskandar, et al. ∙

research

∙ 05/16/2023

Wavelet-based Unsupervised Label-to-Image Translation

Semantic Image Synthesis (SIS) is a subclass of image-to-image translati...

0 George Eskandar, et al. ∙

research

∙ 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 ...

0 George Eskandar, et al. ∙

research

∙ 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 ...

0 Bin Yang, et al. ∙

research

∙ 03/14/2023

Cooperative Jamming and Relay Selection for Covert Communications

This paper investigates the covert communications via cooperative jammin...

0 Chan Gao, et al. ∙

research

∙ 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...

0 Karim Guirguis, et al. ∙

research

∙ 02/24/2023

LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation – Extended Version

Due to the sweeping digitalization of processes, increasingly vast amoun...

0 David Campos, et al. ∙

research

∙ 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...

0 Qingpeng Cai, et al. ∙

research

∙ 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...

0 Zhihua Liu, et al. ∙

research

∙ 12/20/2022

A Pattern Discovery Approach to Multivariate Time Series Forecasting

Multivariate time series forecasting constitutes important functionality...

0 Yunyao Cheng, et al. ∙

research

∙ 12/09/2022

FLAG3D: A 3D Fitness Activity Dataset with Language Instruction

With the continuously thriving popularity around the world, fitness acti...

0 Yansong Tang, et al. ∙

research

∙ 12/08/2022

AutoPINN: When AutoML Meets Physics-Informed Neural Networks

Physics-Informed Neural Networks (PINNs) have recently been proposed to ...

0 Xinle Wu, et al. ∙

research

∙ 11/29/2022

Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting

Sensors in cyber-physical systems often capture interconnected processes...

0 Xinle Wu, et al. ∙

research

∙ 11/23/2022

Robust Mean Teacher for Continual and Gradual Test-Time Adaptation

Since experiencing domain shifts during test-time is inevitable in pract...

0 Mario Döbler, et al. ∙

research

∙ 11/22/2022

Variation-based Cause Effect Identification

Mining genuine mechanisms underlying the complex data generation process...

0 Mohamed Amine ben Salem, et al. ∙

research

∙ 11/16/2022

Prompt Tuning for Parameter-efficient Medical Image Segmentation

Neural networks pre-trained on a self-supervision scheme have become the...

0 Marc Fischer, et al. ∙

research

∙ 10/11/2022

Towards Discriminative and Transferable One-Stage Few-Shot Object Detectors

Recent object detection models require large amounts of annotated data f...

0 Karim Guirguis, et al. ∙

research

∙ 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 ...

0 Yiwen Liao, et al. ∙

research

∙ 09/25/2022

Deep Feature Selection Using a Novel Complementary Feature Mask

Feature selection has drawn much attention over the last decades in mach...

0 Yiwen Liao, et al. ∙

research

∙ 09/22/2022

CMGAN: Conformer-Based Metric-GAN for Monaural Speech Enhancement

Convolution-augmented transformers (Conformers) are recently proposed in...

4 Sherif Abdulatif, et al. ∙

research

∙ 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...

0 Yan Zhao, et al. ∙

research

∙ 08/22/2022

Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey

Deep learning technologies have demonstrated remarkable effectiveness in...

0 Dalin Zhang, et al. ∙

research

∙ 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...

2 Robert A. Marsden, et al. ∙

research

∙ 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...

0 Robert A. Marsden, et al. ∙

research

∙ 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 ...

0 Yiwen Liao, et al. ∙

research

∙ 07/01/2022

Conditional Variable Selection for Intelligent Test

Intelligent test requires efficient and effective analysis of high-dimen...

0 Yiwen Liao, et al. ∙

research

∙ 06/22/2022

Federated Latent Class Regression for Hierarchical Data

Federated Learning (FL) allows a number of agents to participate in trai...

0 Bin Yang, et al. ∙

research

∙ 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 ...

0 Bin Yang, et al. ∙

research

∙ 05/18/2022

TTAPS: Test-Time Adaption by Aligning Prototypes using Self-Supervision

Nowadays, deep neural networks outperform humans in many tasks. However,...

0 Alexander Bartler, et al. ∙

research

∙ 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...

0 Wei Li, et al. ∙

research

∙ 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...

1 Razvan-Gabriel Cirstea, et al. ∙

research

∙ 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...

0 Yi Lin, et al. ∙

research

∙ 04/11/2022

Few-Shot Object Detection in Unseen Domains

Few-shot object detection (FSOD) has thrived in recent years to learn no...

0 Karim Guirguis, et al. ∙

research

∙ 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...

0 Tung Kieu, et al. ∙

research

∙ 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...

12 Sean Bin Yang, et al. ∙

research

∙ 03/29/2022

Towards Spatio-Temporal Aware Traffic Time Series Forecasting–Full Version

Traffic time series forecasting is challenging due to complex spatio-tem...

0 Razvan-Gabriel Cirstea, et al. ∙

research

∙ 03/28/2022

CMGAN: Conformer-based Metric GAN for Speech Enhancement

Recently, convolution-augmented transformer (Conformer) has achieved pro...

0 Ruizhe Cao, et al. ∙

research

∙ 03/07/2022

An Unsupervised Domain Adaptive Approach for Multimodal 2D Object Detection in Adverse Weather Conditions

Integrating different representations from complementary sensing modalit...

0 George Eskandar, et al. ∙

research

∙ 02/17/2022

Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs

Multivariate time series forecasting has long received significant atten...

0 Ming Jin, et al. ∙

research

∙ 02/08/2022

GLPU: A Geometric Approach For Lidar Pointcloud Upsampling

In autonomous driving, lidar is inherent for the understanding of the 3D...

0 George Eskandar, et al. ∙

Bin Yang

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