Fei Hao

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2026
Corrigendum to "Efficient multi-view discrete co-clustering with learned graph" [Pattern Recognition 168 (2025) 111811].
Pattern Recognit., 2026

FTdasc: A frequency-Time domain approach with stationarity correction for multivariate time series forecasting.
Expert Syst. Appl., 2026

New perspectives on multivariate time series forecasting: Lightweight networks combined with multi-scale hybrid state space models.
Expert Syst. Appl., 2026

Shadow: Accelerating Regular Expression Matching on VCDIFF Compressed Data.
Proceedings of the Data Compression Conference, 2026

2025
prompt4vis: prompting large language models with example mining for tabular data visualization.
VLDB J., July, 2025

Appointed-Time Fault-Tolerant Control for Flexible Hypersonic Vehicles with Unmeasurable States Independent of Initial Errors.
CoRR, April, 2025

Screening and Predicting Multi-Omics T-ALL Core Genes Based on PU Learning.
IEEE Trans. Comput. Biol. Bioinform., 2025

Efficient multi-view discrete co-clustering with learned graph.
Pattern Recognit., 2025

Formal concept analysis assisted large-scale global optimization and its application to cloud task scheduling.
Complex Intell. Syst., 2025

2024
Similarity-driven and task-driven models for diversity of opinion in crowdsourcing markets.
VLDB J., September, 2024

Optimal tracking control for unknown nonlinear systems with uncertain input saturation: A dynamic event-triggered ADP algorithm.
Neurocomputing, January, 2024

XPose: eXplainable Human Pose Estimation.
CoRR, 2024

On Leveraging Large Language Models for Enhancing Entity Resolution.
CoRR, 2024

BoostER: Leveraging Large Language Models for Enhancing Entity Resolution.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

GT-KGCN: Gene Essentiality Prediction with Graph Transformer and Kolmogorov-Arnold Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
Federated Domain Adaptation via Transformer for Multi-Site Alzheimer's Disease Diagnosis.
IEEE Trans. Medical Imaging, December, 2023

Personalized Semantic Matching for Web Search.
Proceedings of the 39th IEEE International Conference on Data Engineering, ICDE 2023, 2023

DeepLA: A deep learning-based model for predicting protein function from protein sequence and evolutionary information.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Modeling students' performance using graph convolutional networks.
Complex Intell. Syst., 2022

Cross-Lingual Contrastive Learning for Fine-Grained Entity Typing for Low-Resource Languages.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2017
Design of Family-Oriented Social Network Application in Digital Era.
Proceedings of the 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2017

2014
Dynamic Fuzzy Logic Control of Genetic Algorithm Probabilities.
J. Comput., 2014

2013
Event-Triggered Control for Linear Descriptor Systems.
Circuits Syst. Signal Process., 2013

2010
Adapted Algorithm of Virtual plants simulation based on stochastic l-System.
Int. J. Comput., 2010

2009
Real Time Multiple Object Tracking Using Tracking Matrix.
Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

2008
Hand Tracking by Particle Filtering with Elite Particles Mean Shift.
Proceedings of the Japan-China Joint Workshop on Frontier of Computer Science and Technology, 2008

2004
MATLAB Models of ACMS in Control Systems.
Proceedings of the ICINCO 2004, 2004

Buffered Asynchronous Communication Mechanisms.
Proceedings of the 4th International Conference on Application of Concurrency to System Design (ACSD 2004), 2004


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