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08/28/2023
BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition
In real-world scenarios like traffic and energy, massive time-series dat...
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07/14/2023
Benchmarks and Custom Package for Electrical Load Forecasting
Load forecasting is of great significance in the power industry as it ca...
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06/17/2023
DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection
Time series anomaly detection is critical for a wide range of applicatio...
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06/14/2023
GCformer: An Efficient Framework for Accurate and Scalable Long-Term Multivariate Time Series Forecasting
Transformer-based models have emerged as promising tools for time series...
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06/14/2023
SaDI: A Self-adaptive Decomposed Interpretable Framework for Electric Load Forecasting under Extreme Events
Accurate prediction of electric load is crucial in power grid planning a...
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05/31/2023
DiffLoad: Uncertainty Quantification in Load Forecasting with Diffusion Model
Electrical load forecasting is of great significance for the decision ma...
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03/07/2023
AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes
The existing resource allocation policy for application instances in Kub...
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03/06/2023
Robust Dominant Periodicity Detection for Time Series with Missing Data
Periodicity detection is an important task in time series analysis, but ...
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10/24/2022
Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment
The goal of sequential event prediction is to estimate the next event ba...
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10/18/2022
TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis
Time series anomaly detection is a challenging problem due to the comple...
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06/07/2022
Robust Time Series Dissimilarity Measure for Outlier Detection and Periodicity Detection
Dynamic time warping (DTW) is an effective dissimilarity measure in many...
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04/14/2022
RobustScaler: QoS-Aware Autoscaling for Complex Workloads
Autoscaling is a critical component for efficient resource utilization w...
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02/23/2022
NetRCA: An Effective Network Fault Cause Localization Algorithm
Localizing the root cause of network faults is crucial to network operat...
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02/15/2022
Transformers in Time Series: A Survey
Transformers have achieved superior performances in many tasks in natura...
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11/05/2021
CloudRCA: A Root Cause Analysis Framework for Cloud Computing Platforms
As business of Alibaba expands across the world among various industries...
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07/21/2021
Uncertainty-Aware Task Allocation for Distributed Autonomous Robots
This paper addresses task-allocation problems with uncertainty in situat...
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03/03/2021
Two-Stage Framework for Seasonal Time Series Forecasting
Seasonal time series Forecasting remains a challenging problem due to th...
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08/10/2020
An Explainable 3D Residual Self-Attention Deep Neural Network FOR Joint Atrophy Localization and Alzheimer's Disease Diagnosis using Structural MRI
Computer-aided early diagnosis of Alzheimer's disease (AD) and its prodr...
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05/07/2020
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT
Chest computed tomography (CT) becomes an effective tool to assist the d...
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02/27/2020
Time Series Data Augmentation for Deep Learning: A Survey
Deep learning performs remarkably well on many time series analysis task...
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02/21/2020
RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks
The monitoring and management of numerous and diverse time series data a...
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02/21/2020
RobustPeriod: Time-Frequency Mining for Robust Multiple Periodicities Detection
Periodicity detection is an important task in time series analysis as it...
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12/01/2019
Reconsidering Design of Multi-Antenna NOMA Systems with Limited Feedback
We provide in this paper a comprehensive solution to the design, perform...
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10/15/2019
Exploring Overall Contextual Information for Image Captioning in Human-Like Cognitive Style
Image captioning is a research hotspot where encoder-decoder models comb...
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06/10/2019
RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend Filtering
Extracting the underlying trend signal is a crucial step to facilitate t...
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06/03/2019
Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement
Satellite-based positioning system such as GPS often suffers from large ...
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05/08/2019
Multimodal Semantic Attention Network for Video Captioning
Inspired by the fact that different modalities in videos carry complemen...
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01/30/2019
Which Factorization Machine Modeling is Better: A Theoretical Answer with Optimal Guarantee
Factorization machine (FM) is a popular machine learning model to captur...
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12/05/2018
RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series
Decomposing complex time series into trend, seasonality, and remainder c...
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11/27/2018
Cross-Technology Communications for Heterogeneous IoT Devices Through Artificial Doppler Shifts
Recent years have seen major innovations in developing energy-efficient ...
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07/20/2018
On Secure Transmission Design: An Information Leakage Perspective
Information leakage rate is an intuitive metric that reflects the level ...
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04/13/2018
Multi-Sound-Source Localization for Small Autonomous Unmanned Vehicles with a Self-Rotating Bi-Microphone Array
While vision-based localization techniques have been widely studied for ...
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04/10/2018
Realtime Active Sound Source Localization for Unmanned Ground Robots Using a Self-Rotational Bi-Microphone Array
This work presents a novel technique that performs both orientation and ...
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03/03/2018
An Interactive Many Objective Evolutionary Algorithm with Cascade Clustering and Reference Point Incremental Learning
Researches have shown difficulties in obtaining proximity while maintain...
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11/26/2016
Fill it up: Exploiting partial dependency annotations in a minimum spanning tree parser
Unsupervised models of dependency parsing typically require large amount...
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05/31/2013