Lisha Hu

Orcid: 0000-0002-1810-2430

According to our database1, Lisha Hu authored at least 37 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Edge-computing-assisted intelligent processing of AI-generated image content.
J. Real Time Image Process., April, 2024

FedCluster: a global user profile generation method based on vertical federated clustering.
Int. J. Comput. Sci. Eng., 2024

2023
FedIERF: Federated Incremental Extremely Random Forest for Wearable Health Monitoring.
J. Comput. Sci. Technol., September, 2023

Bi-STAN: bilinear spatial-temporal attention network for wearable human activity recognition.
Int. J. Mach. Learn. Cybern., July, 2023

2022
Adaptive coefficient-based kernelized network for personalized activity recognition.
Int. J. Mach. Learn. Cybern., 2022

Disagreement-based class incremental random forest for sensor-based activity recognition.
Knowl. Based Syst., 2022

Stability and Lp-gain characterization of positive linear systems on time scales.
J. Frankl. Inst., 2022

Improving Multi-Class Code Readability Classification with An Enhanced Data Augmentation Approach (130).
Int. J. Softw. Eng. Knowl. Eng., 2022

Optimization of task unloading strategy based on Game Theory in cloud edge collaborative system.
Proceedings of the ICCAI '22: 8th International Conference on Computing and Artificial Intelligence, Tianjin, China, March 18, 2022

2021
DP-UserPro: differentially private user profile construction and publication.
Frontiers Comput. Sci., 2021

2020
Orientation and Distance Dependence of Pairwise Correlation in Macaque V1.
Proceedings of the ICBBE 2020: 7th International Conference on Biomedical and Bioinformatics Engineering, 2020

2019
A Novel Feature Incremental Learning Method for Sensor-Based Activity Recognition.
IEEE Trans. Knowl. Data Eng., 2019

Deep learning for sensor-based activity recognition: A survey.
Pattern Recognit. Lett., 2019

2018
Inferring Cognitive Wellness from Motor Patterns.
IEEE Trans. Knowl. Data Eng., 2018

FSELM: fusion semi-supervised extreme learning machine for indoor localization with Wi-Fi and Bluetooth fingerprints.
Soft Comput., 2018

A novel random forests based class incremental learning method for activity recognition.
Pattern Recognit., 2018

OKRELM: online kernelized and regularized extreme learning machine for wearable-based activity recognition.
Int. J. Mach. Learn. Cybern., 2018

Stratified Transfer Learning for Cross-domain Activity Recognition.
Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications, 2018

2017
BrainStorm: a psychosocial game suite design for non-invasive cross-generational cognitive capabilities data collection.
J. Exp. Theor. Artif. Intell., 2017

Weak multipath effect identification for indoor distance estimation.
Proceedings of the 2017 IEEE SmartWorld, 2017

A multistage collaborative filtering method for fall detection.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

An Effective Deep Learning Approach for Unobtrusive Sleep Stage Detection Using Microphone Sensor.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Application of CO2 Gas Monitoring System in the CO2 Geological Storage Project.
Proceedings of the Geo-Spatial Knowledge and Intelligence - 5th International Conference, 2017

2016
Heterogeneous Data Driven Manifold Regularization Model for Fingerprint Calibration Reduction.
Proceedings of the 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, 2016

Less Annotation on Personalized Activity Recognition Using Context Data.
Proceedings of the 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, 2016

A Study of Players' Experiences During Brain Games Play.
Proceedings of the PRICAI 2016: Trends in Artificial Intelligence, 2016

AIR: recognizing activity through IR-based distance sensing on feet.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016

2015
Unobtrusive Sensing Incremental Social Contexts Using Fuzzy Class Incremental Learning.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

CARE: chewing activity recognition using noninvasive single axis accelerometer.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015

Recognizing extended surrounding contexts via class incremental learning.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015

2014
b-COELM: A fast, lightweight and accurate activity recognition model for mini-wearable devices.
Pervasive Mob. Comput., 2014

A lightweight and low-power activity recognition system for mini-wearable devices.
Proceedings of the 2014 IEEE International Conference on Pervasive Computing and Communication Workshops, 2014

ContextSense: unobtrusive discovery of incremental social context using dynamic bluetooth data.
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014

2013
A new and informative active learning approach for support vector machine.
Inf. Sci., 2013

A Nonintrusive and Single-Point Infrastructure-Mediated Sensing Approach for Water-Use Activity Recognition.
Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing, 2013

2012
Imbalanced extreme support vector machine.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

2011
Learning the parameters for least squares support vector machine.
Proceedings of the Seventh International Conference on Natural Computation, 2011


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