Combining interpretable fuzzy rule-based classifiers via multi-objective hierarchical evolutionary algorithm. - Jingjing Cao; Hanli Wang; Sam Kwong; Ke Li 001 (SMC, 2011)

A weighted voting method using minimum square error based on Extreme Learning Machine. - Jingjing Cao; Sam Kwong; Ran Wang 001; Ke Li 001 (ICMLC, 2012)

Multi-objective differential evolution with self-navigation. - Ke Li 001; Sam Kwong; Ran Wang 001; Jingjing Cao; Imre J. Rudas (SMC, 2012)

Achieving balance between proximity and diversity in multi-objective evolutionary algorithm. - Ke Li 001; Sam Kwong; Jingjing Cao; Miqing Li; Jinhua Zheng; Ruimin Shen (Inf. Sci., 2012)

A noise-detection based AdaBoost algorithm for mislabeled data. - Jingjing Cao; Sam Kwong; Ran Wang 001 (Pattern Recognit., 2012)

Particle swarm optimization based on intermediate disturbance strategy algorithm and its application in multi-threshold image segmentation. - Hao Gao 005; Sam Kwong; Ji-Jiang Yang; Jingjing Cao (Inf. Sci., 2013)

A vector-valued support vector machine model for multiclass problem. - Ran Wang 001; Sam Kwong; Degang Chen 002; Jingjing Cao (Inf. Sci., 2013)

AN indicator-based selection multi-objective evolutionary algorithm with preference for multi-class ensemble. - Jingjing Cao; Sam Kwong; Ran Wang 001; Ke Li 001 (ICMLC, 2014)

A Fatigue Detect System Based on Activity Recognition. - Congcong Ma 001; Wenfeng Li 001; Jingjing Cao; Shuwu Wang; Lei Wu (IDCS, 2014)

HEp-2 cell pattern classification with discriminative dictionary learning. - Xiangfei Kong; Kuan Li; Jingjing Cao; Qingxiong Yang; Liu Wenyin (Pattern Recognit., 2014)

Sentiment classification using TF-1DF features and extended space forest ensemble. - Nieqing Cao; Jingjing Cao; Haili Lu; Bing Li (ICMLC, 2015)

A two-stage cross-domain recommendation for cold start problem in cyber-physical systems. - Panpan Liu; Jingjing Cao; Xiaolei Liang; Wenfeng Li 001 (ICMLC, 2015)

Sentimental Preference Extraction from Online Reviews for Recommendation. - Nieqing Cao; Jingjing Cao; Panpan Liu; Wenfeng Li 001 (IDCS, 2015)

Class-specific soft voting based multiple extreme learning machines ensemble. - Jingjing Cao; Sam Kwong; Ran Wang 001; Xiaodong Li 007; Ke Li 001; Xiangfei Kong (Neurocomputing, 2015)

基于Web大数据挖掘的证券价格波动实时影响研究 (Research on Stock Price Real-time Fluctuation Influence Based on Web Big Data Mining). - Sha Yang; Wei Yu 009; Shijun Li 001; Jingjing Cao; Jing Liu (计算机科学, 2015)

Detecting Novel Class for Sensor-Based Activity Recognition Using Reject Rule. - Chuhaolun Deng; Wenjing Yuan; Zhiwen Tao; Jingjing Cao (IDCS, 2016)

Cloud-Based Wheelchair Assist System for Mobility Impaired Individuals. - Congcong Ma 001; Wenfeng Li 001; Jingjing Cao; Raffaele Gravina; Giancarlo Fortino (IDCS, 2016)

Empirical analysis: stock market prediction via extreme learning machine. - Xiaodong Li 007; Haoran Xie 001; Ran Wang 001; Yi Cai 001; Jingjing Cao; Feng Wang 048; Huaqing Min; Xiaotie Deng (Neural Comput. Appl., 2016)

Sentimental feature based collaborative filtering recommendation. - Jingjing Cao; Wenfeng Li 001 (BigComp, 2017)

A Sensor-Based Human Activity Recognition System via Restricted Boltzmann Machine and Extended Space Forest. - Jingjing Cao; Wenfeng Li 001; Qiang Wang 021; Meng Yu 004 (IDCS, 2017)

Recovery Error Analysis of Noisy Measurement in Compressed Sensing. - Bin Wang; Liaolin Hu; Jingyu An; Guangfei Liu; Jingjing Cao (Circuits Syst. Signal Process., 2017)

Activity Level Assessment Using a Smart Cushion for People with a Sedentary Lifestyle. - Congcong Ma 001; Wenfeng Li 001; Raffaele Gravina; Jingjing Cao; Qimeng Li; Giancarlo Fortino (Sensors, 2017)

Path Planning for Multi-robot Systems in Intelligent Warehouse. - Hailong Chen; Qiang Wang 021; Meng Yu 004; Jingjing Cao; Jingtao Sun (IDCS, 2018)

Review of Swarm Intelligence Algorithms for Multi-objective Flowshop Scheduling. - Lijun He 002; Wenfeng Li 001; Yu Zhang; Jingjing Cao (IDCS, 2018)

An Online Adaptive Sampling Rate Learning Framework for Sensor-Based Human Activity Recognition. - Zeyi Jin; Jingjing Cao; Jingtao Sun; Wenfeng Li 001; Qiang Wang 021 (IDCS, 2018)

Industrial Internet of Things: A Swarm Coordination Framework for Human-in-the-Loop. - Wenchao Yang; Wenfeng Li 001; Jingjing Cao; Qiang Wang 021; Ying Duan (SMC, 2018)

An Endmember Initialization Scheme for Nonnegative Matrix Factorization and Its Application in Hyperspectral Unmixing. - Jingjing Cao; Li Zhuo 002; Haiyan Tao (ISPRS Int. J. Geo Inf., 2018)

Optimizing multi-sensor deployment via ensemble pruning for wearable activity recognition. - Jingjing Cao; Wenfeng Li 001; Congcong Ma 001; Zhiwen Tao (Inf. Fusion, 2018)

Object-Based Mangrove Species Classification Using Unmanned Aerial Vehicle Hyperspectral Images and Digital Surface Models. - Jingjing Cao; Wanchun Leng; Kai Liu 003; Lin Liu 005; Zhi He; Yuanhui Zhu (Remote. Sens., 2018)

Identifying Mangrove Species Using Field Close-Range Snapshot Hyperspectral Imaging and Machine-Learning Techniques. - Jingjing Cao; Kai Liu 003; Lin Liu 005; Yuanhui Zhu; Jun Li 009; Zhi He (Remote. Sens., 2018)

A User-Adaptive Algorithm for Activity Recognition Based on K-Means Clustering, Local Outlier Factor, and Multivariate Gaussian Distribution. - Shizhen Zhao; Wenfeng Li 001; Jingjing Cao (Sensors, 2018)

A Zero Site-Survey Overhead Indoor Tracking System using Particle Filter. - Feiyu Jin; Kai Liu 001; Hao Zhang 065; Weiwei Wu 001; Jingjing Cao; Xiangping Zhai 001 (ICC, 2019)

A Low Complexity Joint User Grouping and Resource Allocation Algorithm in Massive MIMO Systems. - Xu Yang; Shuming Zhang; Bo Gao; Jingjing Cao (ICCT, 2019)

English Out-of-Vocabulary Lexical Evaluation Task. - Han Wang; Ye Wang 006; Xinxiang Zhang; Mi Lu; Yoonsuck Choe; Jingjing Cao (INDIN, 2019)

A Multi-resident Activity Recognition Approach based on Frequent Itemset Mining Features. - Wenjing Yuan; Jingjing Cao; Zeyi Jin; Fei Xia; Ran Wang 001 (INDIN, 2019)

Dynamic Ensemble Pruning Selection using Meta-Learning for Multi-Sensor Based Activity Recognition. - Jingjing Cao; Wenjing Yuan; Wenfeng Li 001; Xiaozheng E (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

A Fog Computing Paradigm for Efficient Information Services in VANET. - Ke Xiao; Kai Liu 001; Junhua Wang; Yanning Yang; Liang Feng 001; Jingjing Cao; Victor C. S. Lee (WCNC, 2019)

Market impact analysis via deep learned architectures. - Xiaodong Li 007; Jingjing Cao; Zhaoqing Pan (Neural Comput. Appl., 2019)

Sentiment Analysis of Chinese E-commerce Reviews Based on BERT. - Song Xie; Jingjing Cao; Zhou Wu 001; Kai Liu 001; Xiaohui Tao 001; Haoran Xie 001 (INDIN, 2020)

A Tree-Structure Convolutional Neural Network for Temporal Features Exaction on Sensor-Based Multi-resident Activity Recognition. - Jingjing Cao; Fukang Guo; Xin Lai; Qiang Zhou; Jinshan Dai (NCAA, 2020)

Modified ADRC for Inertial Stabilized Platform With Corrected Disturbance Compensation and Improved Speed Observer. - Junhai Qu; Yuanqing Xia; Yongping Shi; Jingjing Cao; Haiwen Wang; Yunxia Meng (IEEE Access, 2020)

Adaptive sliding window based activity recognition for assisted livings. - Congcong Ma 001; Wenfeng Li 001; Jingjing Cao; Juan Du 008; Qimeng Li; Raffaele Gravina (Inf. Fusion, 2020)

Object-Oriented Mangrove Species Classification Using Hyperspectral Data and 3-D Siamese Residual Network. - Zhi He; Qian Shi 001; Kai Liu 003; Jingjing Cao; Wen Zhan; Beifen Cao (IEEE Geosci. Remote. Sens. Lett., 2020)

Reconciling predictive and interpretable performance in repeat buyer prediction via model distillation and heterogeneous classifiers fusion. - Yaohan Shen; Xianhao Xu; Jingjing Cao (Neural Comput. Appl., 2020)

Integration of GF2 Optical, GF3 SAR, and UAV Data for Estimating Aboveground Biomass of China's Largest Artificially Planted Mangroves. - Yuanhui Zhu; Kai Liu 003; Soe W. Myint; Zhenyu Du; Yubin Li; Jingjing Cao; Lin Liu 005; Zhifeng Wu (Remote. Sens., 2020)

Estimating and Mapping Mangrove Biomass Dynamic Change Using WorldView-2 Images and Digital Surface Models. - Yuanhui Zhu; Kai Liu 003; Lin Liu 005; Soe W. Myint; Shugong Wang; Jingjing Cao; Zhifeng Wu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

GCN-ARIMA Based Sales Demand Prediction. - Boquan Gao; Jingjing Cao (HCC, 2021)

Semantic Segmentation via Efficient Attention Augmented Convolutional Networks. - Jingjing Cao; Zhengfei Liao; Qiangwei Zhao (NCAA, 2021)

Combining UAV-based hyperspectral and LiDAR data for mangrove species classification using the rotation forest algorithm. - Jingjing Cao; Kai Liu 003; Li Zhuo 002; Lin Liu 005; Yuanhui Zhu; Liheng Peng (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Robust Double Spatial Regularization Sparse Hyperspectral Unmixing. - Fan Li; Shaoquan Zhang; Chengzhi Deng; Bingkun Liang; Jingjing Cao; Shengqian Wang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

An Ensemble Deep Learning Model Based on Transformers for Long Sequence Time-Series Forecasting. - Jie Chu; Jingjing Cao; Yujia Chen (NCAA (2), 2022)

Optimization of energy-efficient open shop scheduling with an adaptive multi-objective differential evolution algorithm. - Lijun He 002; Yulian Cao; Wenfeng Li 001; Jingjing Cao; Ling-Chong Zhong (Appl. Soft Comput., 2022)

Special issue on neural computing and applications 2021. - Kai Liu; Jingjing Cao; Yimin Yang 001; Wun-She Yap; Rui Tan; Zenghui Wang 001 (Neural Comput. Appl., 2022)

Spatial-Temporal Variation in Paddy Evapotranspiration in Subtropical Climate Regions Based on the SEBAL Model: A Case Study of the Ganfu Plain Irrigation System, Southern China. - Guangfei Wei; Jingjing Cao; Hua Xie; Hengwang Xie; Yang Yang; Conglin Wu; Yuanlai Cui; Yufeng Luo (Remote. Sens., 2022)

A Novel Consistency Calibration Method for DMSP-OLS Nighttime Stable Light Time-Series Images. - Liu Yang; Jingjing Cao; Li Zhuo 002; Qingli Shi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

A Bughole Detection Approach for Fair-Faced Concrete Based on Improved YOLOv5. - Bazhou Li; Feichao Di; Yang Li; Quan Luo; Jingjing Cao; Qiangwei Zhao (NCAA (2), 2023)

RtDS: real-time distributed strategy for multi-period task offloading in vehicular edge computing environment. - Chunhui Liu 005; Kai Liu 001; Hualing Ren; Xincao Xu; Ruitao Xie; Jingjing Cao (Neural Comput. Appl., 2023)

SP2LSTM: a patch learning-based electrical load forecasting for container terminal. - Jingjing Cao; Yujia Chen; Xiaohua Cao; Qiang Wang 021; Bo Wang; Jiepeng Du; Zhipeng Wen (Neural Comput. Appl., 2023)

Optimization of Touch Active Area Size Based on Click Position Bias in Older Adults' Touchscreen Interaction. - Yanling Zuo; Jingjing Cao; Jia Zhou (HCI (42), 2024)

PF-BiCGAN: An Abnormal Values Replacement Approach for Port Electrical Load Forecasting. - Jiepeng Du; Yujia Chen; Jingjing Cao (NCAA (3), 2024)

Named Entity Recognition of Belt Conveyor Faults Based on ALBERT-BiLSTM-SAM-CRF. - Qi Zhu; Jingjing Cao; Zhangyi Xu (NCAA (3), 2024)

An anticipatory shipping system for online retailers via mining customer behavior in large e-commerce promotion. - Bingnan Yang; Xianhao Xu; Jingjing Cao; Kuan Zeng; Zuge Yu (Electron. Commer. Res. Appl., 2024)

FE-Net: Feature enhancement segmentation network. - Zhangyan Zhao; Xiaoming Chen; Jingjing Cao; Qiangwei Zhao; Wenxi Liu (Neural Networks, 2024)

Robust Multiscale Spectral-Spatial Regularized Sparse Unmixing for Hyperspectral Imagery. - Ke Wang; Lei Zhong; Jiajun Zheng; Shaoquan Zhang; Fan Li; Chengzhi Deng; Jingjing Cao; Dingli Su (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

An Integrated Duranton and Overman Index and Local Duranton and Overman Index Framework for Industrial Spatial Agglomeration Pattern Analysis. - Yupu Huang; Li Zhuo 002; Jingjing Cao (ISPRS Int. J. Geo Inf., 2024)

Attention Grabbing through Forward Reference: An ERP Study on Clickbait and Top News Stories. - Xin Li; Jia Zhou; Honglian Xiang; Jingjing Cao (Int. J. Hum. Comput. Interact., 2024)

Cooperative Sensing and Heterogeneous Information Fusion in VCPS: A Multi-Agent Deep Reinforcement Learning Approach. - Xincao Xu; Kai Liu 001; Penglin Dai; Ruitao Xie; Jingjing Cao; Jiangtao Luo (IEEE Trans. Intell. Transp. Syst., 2024)

Learning Nighttime Semantic Segmentation the Hard Way. - Wenxi Liu; Jiaxin Cai; Qi Li 038; Chenyang Liao; Jingjing Cao; Shengfeng He; Yuanlong Yu (ACM Trans. Multim. Comput. Commun. Appl., 2024)

OriMamba: Remote sensing oriented object detection with state space models. - Zhanhao Xiao; Zhenpeng Li; Jingjing Cao; Xiaoyong Liu; Yinying Kong; Zhiguo Du (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Design a bistable polymeric vascular stent (BPVS) and evaluate the biomechanical properties. - Chen Pan; Zhifang Fan; Jingjing Cao; Hezong Li (Comput. Methods Programs Biomed., 2025)

Evaluating multitemporal vegetation indices from Zhuhai-1 hyperspectral images for detecting a rapidly spreading invasive species - Spartina alterniflora. - Yuanhui Zhu; Soe W. Myint; Jingjing Cao; Kai Liu 003; Mei Zeng; Chenxi Diao (Ecol. Informatics, 2025)

DPNet: A dual prototype few-shot semantic segmentation network for crack detection. - Xiaoming Chen; Zhangyan Zhao; Jingjing Cao; Yuhang Zou; Haipeng Liu (Knowl. Based Syst., 2025)

Multi-UNet: An effective Multi-U convolutional networks for semantic segmentation. - Qiangwei Zhao; Jingjing Cao; Junjie Ge; Qi Zhu; Xiaoming Chen; Wenxi Liu (Knowl. Based Syst., 2025)

Mapping Invasive Spartina alterniflora Using Phenological Information and Red-Edge Bands of Sentinel-2 Time-Series Data. - Yiwei Ma; Li Zhuo 002; Jingjing Cao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

GLVMamba: A Global-Local Visual State-Space Model for Remote Sensing Image Segmentation. - Huihui Li; Huajian Pan; Xiaoyong Liu; Jinchang Ren; Zhiguo Du; Jingjing Cao (IEEE Trans. Geosci. Remote. Sens., 2025)