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2020 – today
- 2024
[j37]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: 101403 (2024)- [j36]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): 116 (2024) - [j35]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): 3014-3029 (2024) - [j34]Zhangyan Zhao, Xiaoming Chen, Jingjing Cao, Qiangwei Zhao, Wenxi Liu:
FE-Net: Feature enhancement segmentation network. Neural Networks 174: 106232 (2024) - [j33]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: 1269-1285 (2024) - [j32]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): 4876-4891 (2024) - [j31]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): 213:1-213:23 (2024) - [c29]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: 192-209 - 2023
- [j30]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): 12373-12387 (2023) - [j29]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): 22651-22669 (2023) - [c28]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: 18-31 - 2022
- [j28]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: 108459 (2022) - [j27]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): 16169-16171 (2022) - [j26]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): 1201 (2022) - [j25]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: 2621-2631 (2022) - [c27]Jie Chu, Jingjing Cao, Yujia Chen:
An Ensemble Deep Learning Model Based on Transformers for Long Sequence Time-Series Forecasting. NCAA (2) 2022: 273-286 - 2021
- [j24]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: 102414 (2021) - [j23]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: 12569-12582 (2021) - [c26]Boquan Gao, Jingjing Cao:
GCN-ARIMA Based Sales Demand Prediction. HCC 2021: 50-60 - [c25]Jingjing Cao, Zhengfei Liao, Qiangwei Zhao:
Semantic Segmentation via Efficient Attention Augmented Convolutional Networks. NCAA 2021: 659-670 - 2020
- [j22]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: 157703-157716 (2020) - [j21]Congcong Ma, Wenfeng Li, Jingjing Cao, Juan Du, Qimeng Li, Raffaele Gravina:
Adaptive sliding window based activity recognition for assisted livings. Inf. Fusion 53: 55-65 (2020) - [j20]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): 2150-2154 (2020) - [j19]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): 9495-9508 (2020) - [j18]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): 2039 (2020) - [j17]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: 2123-2134 (2020) - [c24]Song Xie, Jingjing Cao, Zhou Wu, Kai Liu, Xiaohui Tao, Haoran Xie:
Sentiment Analysis of Chinese E-commerce Reviews Based on BERT. INDIN 2020: 713-718 - [c23]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: 513-525 - [i1]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 abs/2011.03042 (2020)
2010 – 2019
- 2019
- [j16]Xiaodong Li, Jingjing Cao, Zhaoqing Pan:
Market impact analysis via deep learned architectures. Neural Comput. Appl. 31(10): 5989-6000 (2019) - [c22]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: 1-7 - [c21]Xu Yang, Shuming Zhang, Bo Gao, Jingjing Cao:
A Low Complexity Joint User Grouping and Resource Allocation Algorithm in Massive MIMO Systems. ICCT 2019: 914-919 - [c20]Wenjing Yuan, Jingjing Cao, Zeyi Jin, Fei Xia, Ran Wang:
A Multi-resident Activity Recognition Approach based on Frequent Itemset Mining Features. INDIN 2019: 1453-1458 - [c19]Han Wang, Ye Wang, Xinxiang Zhang, Mi Lu, Yoonsuck Choe, Jingjing Cao:
English Out-of-Vocabulary Lexical Evaluation Task. INDIN 2019: 1468-1472 - [c18]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: 1063-1068 - [c17]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: 1-7 - 2018
- [j15]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): 195 (2018) - [j14]Jingjing Cao, Wenfeng Li, Congcong Ma, Zhiwen Tao:
Optimizing multi-sensor deployment via ensemble pruning for wearable activity recognition. Inf. Fusion 41: 68-79 (2018) - [j13]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): 89 (2018) - [j12]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): 2047 (2018) - [j11]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): 1850 (2018) - [c16]Hailong Chen, Qiang Wang, Meng Yu, Jingjing Cao, Jingtao Sun:
Path Planning for Multi-robot Systems in Intelligent Warehouse. IDCS 2018: 148-159 - [c15]Lijun He, Wenfeng Li, Yu Zhang, Jingjing Cao:
Review of Swarm Intelligence Algorithms for Multi-objective Flowshop Scheduling. IDCS 2018: 258-269 - [c14]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: 278-281 - [c13]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: 2754-2759 - 2017
- [j10]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): 137-155 (2017) - [j9]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): 2269 (2017) - [c12]Jingjing Cao, Wenfeng Li:
Sentimental feature based collaborative filtering recommendation. BigComp 2017: 463-464 - [c11]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: 87-94 - 2016
- [j8]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): 67-78 (2016) - [c10]Chuhaolun Deng, Wenjing Yuan, Zhiwen Tao, Jingjing Cao:
Detecting Novel Class for Sensor-Based Activity Recognition Using Reject Rule. IDCS 2016: 34-44 - [c9]Congcong Ma, Wenfeng Li, Jingjing Cao, Raffaele Gravina, Giancarlo Fortino:
Cloud-Based Wheelchair Assist System for Mobility Impaired Individuals. IDCS 2016: 107-118 - 2015
- [j7]Jingjing Cao, Sam Kwong, Ran Wang, Xiaodong Li, Ke Li, Xiangfei Kong:
Class-specific soft voting based multiple extreme learning machines ensemble. Neurocomputing 149: 275-284 (2015) - [j6]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): 166-171 (2015) - [c8]Nieqing Cao, Jingjing Cao, Haili Lu, Bing Li:
Sentiment classification using TF-1DF features and extended space forest ensemble. ICMLC 2015: 526-532 - [c7]Panpan Liu, Jingjing Cao, Xiaolei Liang, Wenfeng Li:
A two-stage cross-domain recommendation for cold start problem in cyber-physical systems. ICMLC 2015: 876-882 - [c6]Nieqing Cao, Jingjing Cao, Panpan Liu, Wenfeng Li:
Sentimental Preference Extraction from Online Reviews for Recommendation. IDCS 2015: 294-303 - 2014
- [j5]Xiangfei Kong, Kuan Li, Jingjing Cao, Qingxiong Yang, Liu Wenyin:
HEp-2 cell pattern classification with discriminative dictionary learning. Pattern Recognit. 47(7): 2379-2388 (2014) - [c5]Jingjing Cao, Sam Kwong, Ran Wang, Ke Li:
AN indicator-based selection multi-objective evolutionary algorithm with preference for multi-class ensemble. ICMLC 2014: 147-152 - [c4]Congcong Ma, Wenfeng Li, Jingjing Cao, Shuwu Wang, Lei Wu:
A Fatigue Detect System Based on Activity Recognition. IDCS 2014: 303-311 - 2013
- [j4]Ran Wang, Sam Kwong, Degang Chen, Jingjing Cao:
A vector-valued support vector machine model for multiclass problem. Inf. Sci. 235: 174-194 (2013) - [j3]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: 82-112 (2013) - 2012
- [j2]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): 220-242 (2012) - [j1]Jingjing Cao, Sam Kwong, Ran Wang:
A noise-detection based AdaBoost algorithm for mislabeled data. Pattern Recognit. 45(12): 4451-4465 (2012) - [c3]Jingjing Cao, Sam Kwong, Ran Wang, Ke Li:
A weighted voting method using minimum square error based on Extreme Learning Machine. ICMLC 2012: 411-414 - [c2]Ke Li, Sam Kwong, Ran Wang, Jingjing Cao, Imre J. Rudas:
Multi-objective differential evolution with self-navigation. SMC 2012: 508-513 - 2011
- [c1]Jingjing Cao, Hanli Wang, Sam Kwong, Ke Li:
Combining interpretable fuzzy rule-based classifiers via multi-objective hierarchical evolutionary algorithm. SMC 2011: 1771-1776
Coauthor Index
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