Lisha Hu

发表

Less Annotation on Personalized Activity Recognition Using Context Data

Lisha Hu, Yiqiang Chen, Jindong Wang, 2016, 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld).

Learning the parameters for least squares support vector machine

Lisha Hu, Shu-Xia Lu, Xiaoxue Fan, 2011, 2011 Seventh International Conference on Natural Computation.

OKRELM: online kernelized and regularized extreme learning machine for wearable-based activity recognition

Lisha Hu, Yiqiang Chen, Jindong Wang, 2018, Int. J. Mach. Learn. Cybern..

A multistage collaborative filtering method for fall detection

Tao Xie, Lisha Hu, Yiqiang Chen, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

A new and informative active learning approach for support vector machine

Lisha Hu, Xizhao Wang, Shu-Xia Lu, 2013, Inf. Sci..

CARE: chewing activity recognition using noninvasive single axis accelerometer

Shuangquan Wang, Lisha Hu, Yiqiang Chen, 2015, UbiComp/ISWC Adjunct.

FSELM: fusion semi-supervised extreme learning machine for indoor localization with Wi-Fi and Bluetooth fingerprints

Lisha Hu, Yiqiang Chen, Xinlong Jiang, 2018, Soft Comput..

Recognizing extended surrounding contexts via class incremental learning

Shuangquan Wang, Lisha Hu, Yiqiang Chen, 2015, UbiComp/ISWC Adjunct.

Weak multipath effect identification for indoor distance estimation

Xiaohui Peng, Lisha Hu, Yiqiang Chen, 2017, 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI).

b-COELM: A fast, lightweight and accurate activity recognition model for mini-wearable devices

Shuangquan Wang, Lisha Hu, Yiqiang Chen, 2014, Pervasive Mob. Comput..

Heterogeneous Data Driven Manifold Regularization Model for Fingerprint Calibration Reduction

Lisha Hu, Yiqiang Chen, Xinlong Jiang, 2016, 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld).

A lightweight and low-power activity recognition system for mini-wearable devices

Lisha Hu, 2014, 2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS).

Unobtrusive Sensing Incremental Social Contexts Using Fuzzy Class Incremental Learning

Shuangquan Wang, Chunyan Miao, Lisha Hu, 2015, 2015 IEEE International Conference on Data Mining.

Influence of Strategy Selection of Dairy Enterprises on Performance

Lisha Hu, Yucheng He, Chaoqun Ren, 2016 .

Application of CO2 Gas Monitoring System in the CO2 Geological Storage Project

Lisha Hu, Qianguo Lin, Shaojing Jiang, 2017, GSKI.

BrainStorm: a psychosocial game suite design for non-invasive cross-generational cognitive capabilities data collection

Shuangquan Wang, Lisha Hu, Yiqiang Chen, 2017, J. Exp. Theor. Artif. Intell..

An Effective Deep Learning Approach for Unobtrusive Sleep Stage Detection Using Microphone Sensor

Lisha Hu, Yiqiang Chen, Jianfei Shen, 2017, 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI).

ContextSense: unobtrusive discovery of incremental social context using dynamic bluetooth data

Shuangquan Wang, Lisha Hu, Yiqiang Chen, 2014, UbiComp Adjunct.

Inferring Cognitive Wellness from Motor Patterns

Chunyan Miao, Lisha Hu, Yiqiang Chen, 2018, IEEE Transactions on Knowledge and Data Engineering.

AIR: recognizing activity through IR-based distance sensing on feet

Lisha Hu, Yiqiang Chen, Jianfei Shen, 2016, UbiComp Adjunct.

A novel random forests based class incremental learning method for activity recognition

Xiaohui Peng, Lisha Hu, Yiqiang Chen, 2018, Pattern Recognit..

A Nonintrusive and Single-Point Infrastructure-Mediated Sensing Approach for Water-Use Activity Recognition

Shuangquan Wang, Lisha Hu, Yiqiang Chen, 2013, 2013 IEEE 10th International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing.

A Novel Feature Incremental Learning Method for Sensor-Based Activity Recognition

Xiaohui Peng, Lisha Hu, Chunyu Hu, 2019, IEEE Transactions on Knowledge and Data Engineering.

Imbalanced extreme support vector machine

Xu Zhou, Meng Zhang, Lisha Hu, 2012, 2012 International Conference on Machine Learning and Cybernetics.

Deep Learning for Sensor-based Activity Recognition: A Survey

Xiaohui Peng, Lisha Hu, Yiqiang Chen, 2017, Pattern Recognit. Lett..

Leveraging Two-Stage Weighted ELM for Multimodal Wearables Based Fall Detection

Lisha Hu, Xinlong Jiang, Yiqiang Chen, 2015 .

Stratified Transfer Learning for Cross-domain Activity Recognition

Philip S. Yu, Xiaohui Peng, Lisha Hu, 2017, 2018 IEEE International Conference on Pervasive Computing and Communications (PerCom).

A Study of Players' Experiences During Brain Games Play

Shuangquan Wang, Lisha Hu, Yiqiang Chen, 2016, PRICAI.

Eating detection and chews counting through sensing mastication muscle contraction

Lisha Hu, Gang Zhou, Yongsen Ma, 2018, Smart Health.