Learning the parameters for least squares support vector machine. - Shu-Xia Lu; Xiaoxue Fan; Lisha Hu (ICNC, 2011)

Imbalanced extreme support vector machine. - Xu Zhou; Shu-Xia Lu; Lisha Hu; Meng Zhang (ICMLC, 2012)

A Nonintrusive and Single-Point Infrastructure-Mediated Sensing Approach for Water-Use Activity Recognition. - Lisha Hu; Yiqiang Chen 001; Shuangquan Wang; Liping Jia (HPCC/EUC, 2013)

A new and informative active learning approach for support vector machine. - Lisha Hu; Shu-Xia Lu; Xizhao Wang (Inf. Sci., 2013)

ContextSense: unobtrusive discovery of incremental social context using dynamic bluetooth data. - Zhenyu Chen 003; Yiqiang Chen 001; Lisha Hu; Shuangquan Wang; Xinlong Jiang; Xiaojuan Ma; Nicholas D. Lane; Andrew T. Campbell (UbiComp Adjunct, 2014)

A lightweight and low-power activity recognition system for mini-wearable devices. - Lisha Hu (PerCom Workshops, 2014)

b-COELM: A fast, lightweight and accurate activity recognition model for mini-wearable devices. - Lisha Hu; Yiqiang Chen 001; Shuangquan Wang; Zhenyu Chen 003 (Pervasive Mob. Comput., 2014)

Recognizing extended surrounding contexts via class incremental learning. - Zhenyu Chen 003; Yiqiang Chen 001; Shuangquan Wang; Lisha Hu; Xingyu Gao 001; Xinlong Jiang (UbiComp/ISWC Adjunct, 2015)

CARE: chewing activity recognition using noninvasive single axis accelerometer. - Shuangquan Wang; Gang Zhou; Lisha Hu; Zhenyu Chen 003; Yiqiang Chen 001 (UbiComp/ISWC Adjunct, 2015)

Unobtrusive Sensing Incremental Social Contexts Using Fuzzy Class Incremental Learning. - Zhenyu Chen 003; Yiqiang Chen 001; Xingyu Gao 001; Shuangquan Wang; Lisha Hu; Chenggang Clarence Yan; Nicholas D. Lane; Chunyan Miao (ICDM, 2015)

AIR: recognizing activity through IR-based distance sensing on feet. - Xinlong Jiang; Yiqiang Chen 001; Junfa Liu; Gillian R. Hayes; Lisha Hu; Jianfei Shen (UbiComp Adjunct, 2016)

A Study of Players' Experiences During Brain Games Play. - Faizan Ahmad; Yiqiang Chen 001; Shuangquan Wang; Zhenyu Chen 003; Jianfei Shen; Lisha Hu; Jindong Wang 001 (PRICAI, 2016)

Less Annotation on Personalized Activity Recognition Using Context Data. - Lisha Hu; Yiqiang Chen 001; Shuangquan Wang; Jindong Wang 001; Jianfei Shen; Xinlong Jiang; Zhiqi Shen 001 (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld, 2016)

Heterogeneous Data Driven Manifold Regularization Model for Fingerprint Calibration Reduction. - Xinlong Jiang; Yiqiang Chen 001; Junfa Liu; Yang Gu 001; Lisha Hu; Zhiqi Shen 001 (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld, 2016)

Application of CO2 Gas Monitoring System in the CO2 Geological Storage Project. - Shaojing Jiang; Xufeng Li; Weibo Wang; Lisha Hu; Qianguo Lin (GSKI (1), 2017)

An Effective Deep Learning Approach for Unobtrusive Sleep Stage Detection Using Microphone Sensor. - Yuxin Zhang; Yiqiang Chen 001; Lisha Hu; Xinlong Jiang; Jianfei Shen (ICTAI, 2017)

A multistage collaborative filtering method for fall detection. - Tao Xie; Yiqiang Chen 001; Lisha Hu; Chenlong Gao; Chunyu Hu 001; Jianfei Shen (IJCNN, 2017)

Weak multipath effect identification for indoor distance estimation. - Xiaohai Li; Yiqiang Chen 001; Zhongdong Wu; Xiaohui Peng 002; Jindong Wang 001; Lisha Hu; Diancun Yu (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

BrainStorm: a psychosocial game suite design for non-invasive cross-generational cognitive capabilities data collection. - Faizan Ahmad; Yiqiang Chen 001; Lisha Hu; Shuangquan Wang; Jindong Wang 001; Zhenyu Chen 003; Xinlong Jiang; Jianfei Shen (J. Exp. Theor. Artif. Intell., 2017)

Stratified Transfer Learning for Cross-domain Activity Recognition. - Jindong Wang 001; Yiqiang Chen 001; Lisha Hu; Xiaohui Peng 002; Philip S. Yu (PerCom, 2018)

OKRELM: online kernelized and regularized extreme learning machine for wearable-based activity recognition. - Lisha Hu; Yiqiang Chen 001; Jindong Wang 001; Chunyu Hu 001; Xinlong Jiang (Int. J. Mach. Learn. Cybern., 2018)

A novel random forests based class incremental learning method for activity recognition. - Chunyu Hu 001; Yiqiang Chen 001; Lisha Hu; Xiaohui Peng 002 (Pattern Recognit., 2018)

FSELM: fusion semi-supervised extreme learning machine for indoor localization with Wi-Fi and Bluetooth fingerprints. - Xinlong Jiang; Yiqiang Chen 001; Junfa Liu; Yang Gu 001; Lisha Hu (Soft Comput., 2018)

Inferring Cognitive Wellness from Motor Patterns. - Yiqiang Chen 001; Chunyu Hu 001; Bin Hu 001; Lisha Hu; Han Yu 001; Chunyan Miao (IEEE Trans. Knowl. Data Eng., 2018)

Deep learning for sensor-based activity recognition: A survey. - Jindong Wang 001; Yiqiang Chen 001; Shuji Hao; Xiaohui Peng 002; Lisha Hu (Pattern Recognit. Lett., 2019)

A Novel Feature Incremental Learning Method for Sensor-Based Activity Recognition. - Chunyu Hu 001; Yiqiang Chen 001; Xiaohui Peng 002; Han Yu 001; Chenlong Gao; Lisha Hu (IEEE Trans. Knowl. Data Eng., 2019)

Orientation and Distance Dependence of Pairwise Correlation in Macaque V1. - Lisha Hu; Qiyi Hu; Yao Chen (ICBBE, 2020)

DP-UserPro: differentially private user profile construction and publication. - Zheng Huo; Ping He; Lisha Hu; Huanyu Zhao (Frontiers Comput. Sci., 2021)

Optimization of task unloading strategy based on Game Theory in cloud edge collaborative system. - Zhongbo Hu; Suzhen Wang; Lisha Hu; Yongchen Deng (ICCAI, 2022)

Improving Multi-Class Code Readability Classification with An Enhanced Data Augmentation Approach (130). - Qing Mi; Luo Wang; Lisha Hu; Liwei Ou; Yang Yu (Int. J. Softw. Eng. Knowl. Eng., 2022)

Stability and Lp-gain characterization of positive linear systems on time scales. - Cuihong Wang; Lisha Hu; Yongxia Liu (J. Frankl. Inst., 2022)

Disagreement-based class incremental random forest for sensor-based activity recognition. - Chunyu Hu 001; Yiqiang Chen 001; Lisha Hu; Han Yu 001; Dianjie Lu (Knowl. Based Syst., 2022)

Adaptive coefficient-based kernelized network for personalized activity recognition. - Lisha Hu; Chunyu Hu 001; Xinlong Jiang; Zheng Huo (Int. J. Mach. Learn. Cybern., 2022)

Bi-STAN: bilinear spatial-temporal attention network for wearable human activity recognition. - Chenlong Gao; Yiqiang Chen 001; Xinlong Jiang; Lisha Hu; Zhicheng Zhao; Yuxin Zhang (Int. J. Mach. Learn. Cybern., 2023)

FedIERF: Federated Incremental Extremely Random Forest for Wearable Health Monitoring. - Chunyu Hu 001; Lisha Hu; Lin Yuan 001; Dianjie Lu; Lei Lyu 001; Yiqiang Chen 001 (J. Comput. Sci. Technol., 2023)

FedCluster: a global user profile generation method based on vertical federated clustering. - Lisha Hu; Ping He; Zheng Huo (Int. J. Comput. Sci. Eng., 2024)

Edge-computing-assisted intelligent processing of AI-generated image content. - Suzhen Wang; Yongchen Deng; Lisha Hu; Ning Cao (J. Real Time Image Process., 2024)