Jingjing Cao

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 52

Top Topics

Activity Recognition

Extreme Learning Machine

Semantic Segmentation

Top Venues

Neural Comput. Appl.

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.

Publications

Ke Wang, Lei Zhong, Jiajun Zheng, Shaoquan Zhang, Fan Li, Chengzhi Deng, Jingjing Cao, Dingli Su
Robust Multiscale Spectral-Spatial Regularized Sparse Unmixing for Hyperspectral Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17 (2024)
Wenxi Liu, Jiaxin Cai, Qi Li, Chenyang Liao, Jingjing Cao, Shengfeng He, Yuanlong Yu
Learning Nighttime Semantic Segmentation the Hard Way. ACM Trans. Multim. Comput. Commun. Appl. 20 (7) (2024)
Yanling Zuo, Jingjing Cao, Jia Zhou
Optimization of Touch Active Area Size Based on Click Position Bias in Older Adults' Touchscreen Interaction. HCI (42) (2024)
Xin Li, Jia Zhou, Honglian Xiang, Jingjing Cao
Attention Grabbing through Forward Reference: An ERP Study on Clickbait and Top News Stories. Int. J. Hum. Comput. Interact. 40 (11) (2024)
Zhangyan Zhao, Xiaoming Chen, Jingjing Cao, Qiangwei Zhao, Wenxi Liu
FE-Net: Feature enhancement segmentation network. Neural Networks 174 (2024)
Xincao Xu, Kai Liu, Penglin Dai, Ruitao Xie, Jingjing Cao, Jiangtao Luo
Cooperative Sensing and Heterogeneous Information Fusion in VCPS: A Multi-Agent Deep Reinforcement Learning Approach. IEEE Trans. Intell. Transp. Syst. 25 (6) (2024)
Yupu Huang, Li Zhuo, Jingjing Cao
An Integrated Duranton and Overman Index and Local Duranton and Overman Index Framework for Industrial Spatial Agglomeration Pattern Analysis. ISPRS Int. J. Geo Inf. 13 (4) (2024)
Bingnan Yang, Xianhao Xu, Jingjing Cao, Kuan Zeng, Zuge Yu
An anticipatory shipping system for online retailers via mining customer behavior in large e-commerce promotion. Electron. Commer. Res. Appl. 65 (2024)
Jingjing Cao, Yujia Chen, Xiaohua Cao, Qiang Wang, Bo Wang, Jiepeng Du, Zhipeng Wen
SP2LSTM: a patch learning-based electrical load forecasting for container terminal. Neural Comput. Appl. 35 (30) (2023)
Chunhui Liu, Kai Liu, Hualing Ren, Xincao Xu, Ruitao Xie, Jingjing Cao
RtDS: real-time distributed strategy for multi-period task offloading in vehicular edge computing environment. Neural Comput. Appl. 35 (17) (2023)
Bazhou Li, Feichao Di, Yang Li, Quan Luo, Jingjing Cao, Qiangwei Zhao
A Bughole Detection Approach for Fair-Faced Concrete Based on Improved YOLOv5. NCAA (2) (2023)
Kai Liu, Jingjing Cao, Yimin Yang, Wun-She Yap, Rui Tan, Zenghui Wang
Special issue on neural computing and applications 2021. Neural Comput. Appl. 34 (19) (2022)
Liu Yang, Jingjing Cao, Li Zhuo, Qingli Shi
A Novel Consistency Calibration Method for DMSP-OLS Nighttime Stable Light Time-Series Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15 (2022)
Jie Chu, Jingjing Cao, Yujia Chen
An Ensemble Deep Learning Model Based on Transformers for Long Sequence Time-Series Forecasting. NCAA (2) (2022)
Guangfei Wei, Jingjing Cao, Hua Xie, Hengwang Xie, Yang Yang, Conglin Wu, Yuanlai Cui, Yufeng Luo
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. Remote. Sens. 14 (5) (2022)
Lijun He, Yulian Cao, Wenfeng Li, Jingjing Cao, Ling-Chong Zhong
Optimization of energy-efficient open shop scheduling with an adaptive multi-objective differential evolution algorithm. Appl. Soft Comput. 118 (2022)
Fan Li, Shaoquan Zhang, Chengzhi Deng, Bingkun Liang, Jingjing Cao, Shengqian Wang
Robust Double Spatial Regularization Sparse Hyperspectral Unmixing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14 (2021)
Boquan Gao, Jingjing Cao
GCN-ARIMA Based Sales Demand Prediction. HCC (2021)
Jingjing Cao, Kai Liu, Li Zhuo, Lin Liu, Yuanhui Zhu, Liheng Peng
Combining UAV-based hyperspectral and LiDAR data for mangrove species classification using the rotation forest algorithm. Int. J. Appl. Earth Obs. Geoinformation 102 (2021)
Jingjing Cao, Zhengfei Liao, Qiangwei Zhao
Semantic Segmentation via Efficient Attention Augmented Convolutional Networks. NCAA (2021)
Zhi He, Qian Shi, Kai Liu, Jingjing Cao, Wen Zhan, Beifen Cao
Object-Oriented Mangrove Species Classification Using Hyperspectral Data and 3-D Siamese Residual Network. IEEE Geosci. Remote. Sens. Lett. 17 (12) (2020)
Congcong Ma, Wenfeng Li, Jingjing Cao, Juan Du, Qimeng Li, Raffaele Gravina
Adaptive sliding window based activity recognition for assisted livings. Inf. Fusion 53 (2020)
Jingjing Cao, Fukang Guo, Xin Lai, Qiang Zhou, Jinshan Dai
A Tree-structure Convolutional Neural Network for Temporal Features Exaction on Sensor-based Multi-resident Activity Recognition. CoRR (2020)
Yuanhui Zhu, Kai Liu, Soe W. Myint, Zhenyu Du, Yubin Li, Jingjing Cao, Lin Liu, Zhifeng Wu
Integration of GF2 Optical, GF3 SAR, and UAV Data for Estimating Aboveground Biomass of China's Largest Artificially Planted Mangroves. Remote. Sens. 12 (12) (2020)
Song Xie, Jingjing Cao, Zhou Wu, Kai Liu, Xiaohui Tao, Haoran Xie
Sentiment Analysis of Chinese E-commerce Reviews Based on BERT. INDIN (2020)
Yaohan Shen, Xianhao Xu, Jingjing Cao
Reconciling predictive and interpretable performance in repeat buyer prediction via model distillation and heterogeneous classifiers fusion. Neural Comput. Appl. 32 (13) (2020)
Yuanhui Zhu, Kai Liu, Lin Liu, Soe W. Myint, Shugong Wang, Jingjing Cao, Zhifeng Wu
Estimating and Mapping Mangrove Biomass Dynamic Change Using WorldView-2 Images and Digital Surface Models. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13 (2020)
Jingjing Cao, Fukang Guo, Xin Lai, Qiang Zhou, Jinshan Dai
A Tree-Structure Convolutional Neural Network for Temporal Features Exaction on Sensor-Based Multi-resident Activity Recognition. NCAA (2020)
Junhai Qu, Yuanqing Xia, Yongping Shi, Jingjing Cao, Haiwen Wang, Yunxia Meng
Modified ADRC for Inertial Stabilized Platform With Corrected Disturbance Compensation and Improved Speed Observer. IEEE Access 8 (2020)
Han Wang, Ye Wang, Xinxiang Zhang, Mi Lu, Yoonsuck Choe, Jingjing Cao
English Out-of-Vocabulary Lexical Evaluation Task. INDIN (2019)
Jingjing Cao, Wenjing Yuan, Wenfeng Li, Xiaozheng E
Dynamic Ensemble Pruning Selection using Meta-Learning for Multi-Sensor Based Activity Recognition. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2019)
Ke Xiao, Kai Liu, Junhua Wang, Yanning Yang, Liang Feng, Jingjing Cao, Victor C. S. Lee
A Fog Computing Paradigm for Efficient Information Services in VANET. WCNC (2019)
Xiaodong Li, Jingjing Cao, Zhaoqing Pan
Market impact analysis via deep learned architectures. Neural Comput. Appl. 31 (10) (2019)
Feiyu Jin, Kai Liu, Hao Zhang, Weiwei Wu, Jingjing Cao, Xiangping Bryce Zhai
A Zero Site-Survey Overhead Indoor Tracking System using Particle Filter. ICC (2019)
Xu Yang, Shuming Zhang, Bo Gao, Jingjing Cao
A Low Complexity Joint User Grouping and Resource Allocation Algorithm in Massive MIMO Systems. ICCT (2019)
Wenjing Yuan, Jingjing Cao, Zeyi Jin, Fei Xia, Ran Wang
A Multi-resident Activity Recognition Approach based on Frequent Itemset Mining Features. INDIN (2019)
Shizhen Zhao, Wenfeng Li, Jingjing Cao
A User-Adaptive Algorithm for Activity Recognition Based on K-Means Clustering, Local Outlier Factor, and Multivariate Gaussian Distribution. Sensors 18 (6) (2018)
Jingjing Cao, Li Zhuo, Haiyan Tao
An Endmember Initialization Scheme for Nonnegative Matrix Factorization and Its Application in Hyperspectral Unmixing. ISPRS Int. J. Geo Inf. 7 (5) (2018)
Hailong Chen, Qiang Wang, Meng Yu, Jingjing Cao, Jingtao Sun
Path Planning for Multi-robot Systems in Intelligent Warehouse. IDCS (2018)
Wenchao Yang, Wenfeng Li, Jingjing Cao, Qiang Wang, Ying Duan
Industrial Internet of Things: A Swarm Coordination Framework for Human-in-the-Loop. SMC (2018)
Jingjing Cao, Wenfeng Li, Congcong Ma, Zhiwen Tao
Optimizing multi-sensor deployment via ensemble pruning for wearable activity recognition. Inf. Fusion 41 (2018)
Jingjing Cao, Kai Liu, Lin Liu, Yuanhui Zhu, Jun Li, Zhi He
Identifying Mangrove Species Using Field Close-Range Snapshot Hyperspectral Imaging and Machine-Learning Techniques. Remote. Sens. 10 (12) (2018)
Zeyi Jin, Jingjing Cao, Jingtao Sun, Wenfeng Li, Qiang Wang
An Online Adaptive Sampling Rate Learning Framework for Sensor-Based Human Activity Recognition. IDCS (2018)
Jingjing Cao, Wanchun Leng, Kai Liu, Lin Liu, Zhi He, Yuanhui Zhu
Object-Based Mangrove Species Classification Using Unmanned Aerial Vehicle Hyperspectral Images and Digital Surface Models. Remote. Sens. 10 (1) (2018)
Lijun He, Wenfeng Li, Yu Zhang, Jingjing Cao
Review of Swarm Intelligence Algorithms for Multi-objective Flowshop Scheduling. IDCS (2018)
Jingjing Cao, Wenfeng Li, Qiang Wang, Meng Yu
A Sensor-Based Human Activity Recognition System via Restricted Boltzmann Machine and Extended Space Forest. IDCS (2017)
Jingjing Cao, Wenfeng Li
Sentimental feature based collaborative filtering recommendation. BigComp (2017)
Congcong Ma, Wenfeng Li, Raffaele Gravina, Jingjing Cao, Qimeng Li, Giancarlo Fortino
Activity Level Assessment Using a Smart Cushion for People with a Sedentary Lifestyle. Sensors 17 (10) (2017)
Bin Wang, Liaolin Hu, Jingyu An, Guangfei Liu, Jingjing Cao
Recovery Error Analysis of Noisy Measurement in Compressed Sensing. Circuits Syst. Signal Process. 36 (1) (2017)
Congcong Ma, Wenfeng Li, Jingjing Cao, Raffaele Gravina, Giancarlo Fortino
Cloud-Based Wheelchair Assist System for Mobility Impaired Individuals. IDCS (2016)
Chuhaolun Deng, Wenjing Yuan, Zhiwen Tao, Jingjing Cao
Detecting Novel Class for Sensor-Based Activity Recognition Using Reject Rule. IDCS (2016)
Xiaodong Li, Haoran Xie, Ran Wang, Yi Cai, Jingjing Cao, Feng Wang, Huaqing Min, Xiaotie Deng
Empirical analysis: stock market prediction via extreme learning machine. Neural Comput. Appl. 27 (1) (2016)
Sha Yang, Wei Yu, Shijun Li, Jingjing Cao, Jing Liu
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). 计算机科学 42 (4) (2015)
Nieqing Cao, Jingjing Cao, Haili Lu, Bing Li
Sentiment classification using TF-1DF features and extended space forest ensemble. ICMLC (2015)
Nieqing Cao, Jingjing Cao, Panpan Liu, Wenfeng Li
Sentimental Preference Extraction from Online Reviews for Recommendation. IDCS (2015)
Jingjing Cao, Sam Kwong, Ran Wang, Xiaodong Li, Ke Li, Xiangfei Kong
Class-specific soft voting based multiple extreme learning machines ensemble. Neurocomputing 149 (2015)
Panpan Liu, Jingjing Cao, Xiaolei Liang, Wenfeng Li
A two-stage cross-domain recommendation for cold start problem in cyber-physical systems. ICMLC (2015)
Xiangfei Kong, Kuan Li, Jingjing Cao, Qingxiong Yang, Liu Wenyin
HEp-2 cell pattern classification with discriminative dictionary learning. Pattern Recognit. 47 (7) (2014)
Congcong Ma, Wenfeng Li, Jingjing Cao, Shuwu Wang, Lei Wu
A Fatigue Detect System Based on Activity Recognition. IDCS (2014)
Jingjing Cao, Sam Kwong, Ran Wang, Ke Li
AN indicator-based selection multi-objective evolutionary algorithm with preference for multi-class ensemble. ICMLC (2014)
Hao Gao, Sam Kwong, Ji-Jiang Yang, Jingjing Cao
Particle swarm optimization based on intermediate disturbance strategy algorithm and its application in multi-threshold image segmentation. Inf. Sci. 250 (2013)
Ran Wang, Sam Kwong, Degang Chen, Jingjing Cao
A vector-valued support vector machine model for multiclass problem. Inf. Sci. 235 (2013)
Ke Li, Sam Kwong, Jingjing Cao, Miqing Li, Jinhua Zheng, Ruimin Shen
Achieving balance between proximity and diversity in multi-objective evolutionary algorithm. Inf. Sci. 182 (1) (2012)
Jingjing Cao, Sam Kwong, Ran Wang
A noise-detection based AdaBoost algorithm for mislabeled data. Pattern Recognit. 45 (12) (2012)
Ke Li, Sam Kwong, Ran Wang, Jingjing Cao, Imre J. Rudas
Multi-objective differential evolution with self-navigation. SMC (2012)
Jingjing Cao, Sam Kwong, Ran Wang, Ke Li
A weighted voting method using minimum square error based on Extreme Learning Machine. ICMLC (2012)
Jingjing Cao, Hanli Wang, Sam Kwong, Ke Li
Combining interpretable fuzzy rule-based classifiers via multi-objective hierarchical evolutionary algorithm. SMC (2011)