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08/30/2023
A Classification of Observation-Driven State-Space Count Models for Panel Data
State-space models are widely used in many applications. In the domain o...
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08/07/2023
Learning-based Near-optimal Motion Planning for Intelligent Vehicles with Uncertain Dynamics
Motion planning has been an important research topic in achieving safe a...
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07/30/2023
Communication-Sensing Region for Cell-Free Massive MIMO ISAC Systems
This paper investigates the system model and the transmit beamforming de...
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06/12/2023
Feature Fusion from Head to Tail: an Extreme Augmenting Strategy for Long-Tailed Visual Recognition
The imbalanced distribution of long-tailed data poses a challenge for de...
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05/19/2023
Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment
Long-tailed data is still a big challenge for deep neural networks, even...
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05/18/2023
Adjusting Logit in Gaussian Form for Long-Tailed Visual Recognition
It is not uncommon that real-world data are distributed with a long tail...
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04/14/2023
PARFormer: Transformer-based Multi-Task Network for Pedestrian Attribute Recognition
Pedestrian attribute recognition (PAR) has received increasing attention...
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04/03/2023
Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation
Deep neural networks have made huge progress in the last few decades. Ho...
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03/27/2023
Personalized Federated Learning on Long-Tailed Data via Adversarial Feature Augmentation
Personalized Federated Learning (PFL) aims to learn personalized models ...
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03/17/2023
VPU-EM: An Event-based Modeling Framework to Evaluate NPU Performance and Power Efficiency at Scale
State-of-art NPUs are typically architected as a self-contained sub-syst...
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03/04/2023
Federated Semi-Supervised Learning with Annotation Heterogeneity
Federated Semi-Supervised Learning (FSSL) aims to learn a global model f...
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02/24/2023
Retrieved Sequence Augmentation for Protein Representation Learning
Protein language models have excelled in a variety of tasks, ranging fro...
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02/19/2023
Energy Consumption Minimization in Secure Multi-antenna UAV-assisted MEC Networks with Channel Uncertainty
This paper investigates the robust and secure task transmission and comp...
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10/10/2022
A Systematic Literature Review of the Tension between the GDPR and Public Blockchain Systems
The blockchain technology has been rapidly growing since Bitcoin was inv...
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10/06/2022
IR2Net: Information Restriction and Information Recovery for Accurate Binary Neural Networks
Weight and activation binarization can efficiently compress deep neural ...
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10/01/2022
Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph
Establishing how a set of learners can provide privacy-preserving federa...
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08/21/2022
Combating Noisy-Labeled and Imbalanced Data by Two Stage Bi-Dimensional Sample Selection
Robust learning on noisy-labeled data has been an important task in real...
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06/10/2022
The 1st Data Science for Pavements Challenge
The Data Science for Pavement Challenge (DSPC) seeks to accelerate the r...
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04/30/2022
FEDIC: Federated Learning on Non-IID and Long-Tailed Data via Calibrated Distillation
Federated learning provides a privacy guarantee for generating good deep...
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04/28/2022
Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features
Federated learning (FL) provides a privacy-preserving solution for distr...
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04/26/2022
Fast Successive-Cancellation Decoding of Polar Codes with Sequence Nodes
Due to the sequential nature of the successive-cancellation (SC) algorit...
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02/17/2022
A Deep Learning Approach for Repairing Missing Activity Labels in Event Logs for Process Mining
Process mining is a relatively new subject that builds a bridge between ...
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10/18/2021
A simple Bayesian state-space model for the collective risk model
The collective risk model (CRM) for frequency and severity is an importa...
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09/16/2021
On the ordering of credibility factors
Traditional credibility analysis of risks in insurance is based on the r...
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08/31/2021
AIP: Adversarial Iterative Pruning Based on Knowledge Transfer for Convolutional Neural Networks
With the increase of structure complexity, convolutional neural networks...
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06/24/2021
A Novel Approach to Discover Switch Behaviours in Process Mining
Process mining is a relatively new subject which builds a bridge between...
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04/29/2021
Digital Resistance during COVID-19: A Workflow Management System of Contactless Purchasing and Its Empirical Study of Customer Acceptance
The COVID-19 pandemic has stimulated the shift of work and life from the...
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03/30/2021
A Novel Approach to Detect Redundant Activity Labels For More Representative Event Logs
The insights revealed from process mining heavily rely on the quality of...
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03/19/2021
A Robust and Accurate Approach to Detect Process Drifts from Event Streams
Business processes are bound to evolve as a form of adaption to changes,...
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03/19/2021
Detecting and Understanding Branching Frequency Changes in Process Models
Business processes are continuously evolving in order to adapt to change...
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03/19/2021
Discovering Redundant Activities in Event Logs for the Simplification of Process Models
Process mining acts as a valuable tool to analyse the behaviour of an or...
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03/03/2021
Self-Distribution Binary Neural Networks
In this work, we study the binary neural networks (BNNs) of which both t...
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01/16/2021
ACP: Automatic Channel Pruning via Clustering and Swarm Intelligence Optimization for CNN
As the convolutional neural network (CNN) gets deeper and wider in recen...
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11/16/2020
SIR Model with Stochastic Transmission
The Susceptible-Infected-Recovered (SIR) model is the cornerstone of epi...
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11/15/2020
Placement in Integrated Circuits using Cyclic Reinforcement Learning and Simulated Annealing
Physical design and production of Integrated Circuits (IC) is becoming i...
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10/03/2020
UCP: Uniform Channel Pruning for Deep Convolutional Neural Networks Compression and Acceleration
To apply deep CNNs to mobile terminals and portable devices, many schola...
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08/01/2020
Cyber-Resilient Transactive Energy System Design over Insecure Communication Links
In this paper, the privacy and security issues associated with transacti...
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07/06/2020
Computational Complexity Characterization of Protecting Elections from Bribery
The bribery problem in election has received considerable attention in t...
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02/03/2020
Robust saliency maps with decoy-enhanced saliency score
Saliency methods help to make deep neural network predictions more inter...
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12/16/2019
On privacy preserving data release of linear dynamic networks
Distributed data sharing in dynamic networks is ubiquitous. It raises th...
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09/22/2019
From Data Disclosure to Privacy Nudges: A Privacy-aware and User-centric Personal Data Management Framework
Although there are privacy-enhancing tools designed to protect users' on...
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06/22/2019
Copula Density Estimation by Finite Mixture of Parametric Copula Densities
A Copula density estimation method that is based on a finite mixture of ...
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05/24/2019
Multi-Scale Dual-Branch Fully Convolutional Network for Hand Parsing
Recently, fully convolutional neural networks (FCNs) have shown signific...
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04/18/2019
ProductNet: a Collection of High-Quality Datasets for Product Representation Learning
ProductNet is a collection of high-quality product datasets for better p...
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04/15/2019
Low-Power Computer Vision: Status, Challenges, Opportunities
Computer vision has achieved impressive progress in recent years. Meanwh...
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01/29/2019
Bayes Imbalance Impact Index: A Measure of Class Imbalanced Dataset for Classification Problem
Recent studies have shown that imbalance ratio is not the only cause of ...
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01/26/2019
Optimal Online Transmission Policy in Wireless Powered Networks with Urgency-aware Age of Information
This paper investigates the age of information (AoI) for a radio frequen...
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12/31/2018
Large-Scale Object Detection of Images from Network Cameras in Variable Ambient Lighting Conditions
Computer vision relies on labeled datasets for training and evaluation i...
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10/03/2018
2018 Low-Power Image Recognition Challenge
The Low-Power Image Recognition Challenge (LPIRC, https://rebootingcompu...
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05/01/2018