b'Yang Lu'

research

∙ 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...

0 Jae Youn Ahn, et al. ∙

research

∙ 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...

0 Yang Lu, et al. ∙

research

∙ 07/30/2023

Communication-Sensing Region for Cell-Free Massive MIMO ISAC Systems

This paper investigates the system model and the transmit beamforming de...

0 Weihao Mao, et al. ∙

research

∙ 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...

0 Mengke LI, et al. ∙

research

∙ 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...

0 Mengke LI, et al. ∙

research

∙ 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...

0 Mengke LI, et al. ∙

research

∙ 04/14/2023

PARFormer: Transformer-based Multi-Task Network for Pedestrian Attribute Recognition

Pedestrian attribute recognition (PAR) has received increasing attention...

0 Xinwen Fan, et al. ∙

research

∙ 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...

0 Yan Jin, et al. ∙

research

∙ 03/27/2023

Personalized Federated Learning on Long-Tailed Data via Adversarial Feature Augmentation

Personalized Federated Learning (PFL) aims to learn personalized models ...

0 Yang Lu, et al. ∙

research

∙ 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...

0 Charles Qi, et al. ∙

research

∙ 03/04/2023

Federated Semi-Supervised Learning with Annotation Heterogeneity

Federated Semi-Supervised Learning (FSSL) aims to learn a global model f...

0 Xinyi Shang, et al. ∙

research

∙ 02/24/2023

Retrieved Sequence Augmentation for Protein Representation Learning

Protein language models have excelled in a variety of tasks, ranging fro...

0 Chang Ma, et al. ∙

research

∙ 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...

0 Weihao Mao, et al. ∙

research

∙ 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...

0 Rahime Belen Saglam, et al. ∙

research

∙ 10/06/2022

IR2Net: Information Restriction and Information Recovery for Accurate Binary Neural Networks

Weight and activation binarization can efficiently compress deep neural ...

0 Ping Xue, et al. ∙

research

∙ 10/01/2022

Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph

Establishing how a set of learners can provide privacy-preserving federa...

0 Yang Lu, et al. ∙

research

∙ 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...

0 Yiliang Zhang, et al. ∙

research

∙ 06/10/2022

The 1st Data Science for Pavements Challenge

The Data Science for Pavement Challenge (DSPC) seeks to accelerate the r...

0 Ashkan Behzadian, et al. ∙

research

∙ 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...

14 Xinyi Shang, et al. ∙

research

∙ 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...

0 Xinyi Shang, et al. ∙

research

∙ 04/26/2022

Fast Successive-Cancellation Decoding of Polar Codes with Sequence Nodes

Due to the sequential nature of the successive-cancellation (SC) algorit...

0 Yang Lu, et al. ∙

research

∙ 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 ...

0 Yang Lu, et al. ∙

research

∙ 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...

0 Jae Youn Ahn, et al. ∙

research

∙ 09/16/2021

On the ordering of credibility factors

Traditional credibility analysis of risks in insurance is based on the r...

0 Jae Youn Ahn, et al. ∙

research

∙ 08/31/2021

AIP: Adversarial Iterative Pruning Based on Knowledge Transfer for Convolutional Neural Networks

With the increase of structure complexity, convolutional neural networks...

8 Jingfei Chang, et al. ∙

research

∙ 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...

0 Yang Lu, et al. ∙

research

∙ 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...

0 Yang Lu, et al. ∙

research

∙ 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...

0 Qifan Chen, et al. ∙

research

∙ 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,...

0 Yang Lu, et al. ∙

research

∙ 03/19/2021

Detecting and Understanding Branching Frequency Changes in Process Models

Business processes are continuously evolving in order to adapt to change...

0 Yang Lu, et al. ∙

research

∙ 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...

0 Qifan Chen, et al. ∙

research

∙ 03/03/2021

Self-Distribution Binary Neural Networks

In this work, we study the binary neural networks (BNNs) of which both t...

0 Ping Xue, et al. ∙

research

∙ 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...

10 Jingfei Chang, et al. ∙

research

∙ 11/16/2020

SIR Model with Stochastic Transmission

The Susceptible-Infected-Recovered (SIR) model is the cornerstone of epi...

0 Christian Gourieroux, et al. ∙

research

∙ 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...

0 Dhruv Vashisht, et al. ∙

research

∙ 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...

0 Jingfei Chang, et al. ∙

research

∙ 08/01/2020

Cyber-Resilient Transactive Energy System Design over Insecure Communication Links

In this paper, the privacy and security issues associated with transacti...

0 Yang Lu, et al. ∙

research

∙ 07/06/2020

Computational Complexity Characterization of Protecting Elections from Bribery

The bribery problem in election has received considerable attention in t...

0 Lin Chen, et al. ∙

research

∙ 02/03/2020

Robust saliency maps with decoy-enhanced saliency score

Saliency methods help to make deep neural network predictions more inter...

7 Yang Lu, et al. ∙

research

∙ 12/16/2019

On privacy preserving data release of linear dynamic networks

Distributed data sharing in dynamic networks is ubiquitous. It raises th...

0 Yang Lu, et al. ∙

research

∙ 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...

0 Yang Lu, et al. ∙

research

∙ 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 ...

0 Leming Qu, et al. ∙

research

∙ 05/24/2019

Multi-Scale Dual-Branch Fully Convolutional Network for Hand Parsing

Recently, fully convolutional neural networks (FCNs) have shown signific...

0 Yang Lu, et al. ∙

research

∙ 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...

0 Chu Wang, et al. ∙

research

∙ 04/15/2019

Low-Power Computer Vision: Status, Challenges, Opportunities

Computer vision has achieved impressive progress in recent years. Meanwh...

16 Sergei Alyamkin, et al. ∙

research

∙ 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 ...

0 Yang Lu, et al. ∙

research

∙ 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...

0 Yang Lu, et al. ∙

research

∙ 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...

0 Caleb Tung, et al. ∙

research

∙ 10/03/2018

2018 Low-Power Image Recognition Challenge

The Low-Power Image Recognition Challenge (LPIRC, https://rebootingcompu...

6 Sergei Alyamkin, et al. ∙

research

∙ 05/01/2018

Privacy preserving distributed optimization using homomorphic encryption

This paper studies how a system operator and a set of agents securely ex...

0 Yang Lu, et al. ∙

Yang Lu

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