Lijuan Cao

Publication Activity (10 Years)

Years Active: 1999-2023
Publications (10 Years): 30

Top Topics

Microarray Data Classification

Kernel Learning

Top Venues

Publications

Lijuan Cao, Michael Grabchak
Experience Report on Using WeBWorK in Teaching Discrete Mathematics. SIGCSE (1) (2023)
Lijuan Cao, Chuntao Song, Chang Cao, Lexi Xu, Zhen Xing, Chen Cheng, Zijing Yang, Yi Li, Xinzhou Cheng
User Perception Analysis Based on Random Forest. ICCT (2023)
Heng Zhang, Bing Yan, Yunpeng Li, Lexi Xu, Xinzhou Cheng, Lijuan Cao, Kun Chao, Wei Xia, Qinqin Yu
Research on Enterprises Growth for Industries in Post-Epidemic Era. TrustCom (2023)
Kun Chao, Zhen Xing, Xinzhou Cheng, Jian Guan, Lexi Xu, Xiqing Liu, Yuwei Jia, Lijuan Cao
Research on Operation Evolution of 5G Non-Public Network. TrustCom (2023)
Zheng Li, Chang Tang, Xiao Zheng, Zhenglai Li, Wei Zhang, Lijuan Cao
Unified K-means coupled self-representation and neighborhood kernel learning for clustering single-cell RNA-sequencing data. Neurocomputing 501 (2022)
Chen Cheng, Xinzhou Cheng, Shikun Jiang, Xin Zhao, Yuhui Han, Tao Zhang, Lijuan Cao, Yuwei Jia, Tian Xiao, Bei Li
Telecom Big Data assisted Algorithm and System of Campus Safety Management. TrustCom (2022)
Heng Zhang, Wenyu Li, Lianbo Song, Lexi Xu, Xinzhou Cheng, Lijuan Cao, Kun Chao, Wei Xia, Qinqin Yu, Sai Han
Research on Enterprises Loss in Regional Economic Risk Management. TrustCom (2022)
Yuwei Jia, Kun Chao, Xinzhou Cheng, Lin Lin, Lijuan Cao, Yi Li, Yuchao Jin, Zixiang Di, Chen Cheng
A Novel User Mobility Prediction Scheme based on the Weighted Markov Chain Model. TrustCom (2022)
Xin He, Lijuan Cao, Yuwei Jia, Kun Chao, Miaoqiong Wang, Chao Wang, Yunyun Wang, Runsha Dong, Zhenqiao Zhao
User Analysis and Traffic Prediction Method based on Behavior Slicing. TrustCom (2022)
Audrey Rorrer, David Pugalee, Callie Edwards, Danielle Boulden, Mary Lou Maher, Lijuan Cao, Mohsen Dorodchi, Veronica Cateté, David Frye, Tiffany Barnes, Eric N. Wiebe
The Design and Implementation of a Method for Evaluating and Building Research Practice Partnerships. SIGCSE (2021)
Heng Zhang, Yuhan Liu, Lexi Xu, Xinzhou Cheng, Lijuan Cao, Wei Xia, Ciguang Yang
Evaluation and Application of News Transmission Speed in New Media Environment. TrustCom (2021)
Lijuan Cao
Knowledge Map and Its Application in University Library. CIPAE (2021)
Lijuan Cao, Jianhui Li, Yang-Jing Zhou, Yuan-Hong Lian, Dunhua Zhao, Junjie Chen
Design and Implementation of Multi-Function Table Wiping Control System Based on NBIoT. CIS (2021)
Ting Li, Zhijin Qiu, Lijuan Cao, Dazhao Cheng, Weichao Wang, Xinghua Shi, Yu Wang
Privacy-Preserving Participant Grouping for Mobile Social Sensing Over Edge Clouds. IEEE Trans. Netw. Sci. Eng. 8 (2) (2021)
Chen Cheng, Xinzhou Cheng, Yuting Zheng, Lijuan Cao, Yuhui Han, Yuwei Jia, Qingqing Zhang, Yi Zhang, Ya-nan Zhang, Lexi Xu
A Novel Architecture and Algorithm for Prediction of Students Psychological Health based on Big Data. TrustCom (2021)
Lijuan Cao, Xinzhou Cheng, Lexi Xu, Chen Cheng, Yi Li, Yuwei Jia, Chuntao Song, Heng Zhang
Preference Recommendation Scheme based on Social Networks of Mobile Users. TrustCom (2021)
Yuwei Jia, Kun Chao, Xinzhou Cheng, Jian Guan, Lijuan Cao, Yi Li, Chen Cheng, Yuchao Jin, Lexi Xu
A Hybrid User Recommendation Scheme Based on Collaborative Filtering and Association Rules. TrustCom (2021)
Lijuan Cao
Design of Digital Library Service Platform based on Cloud Computing. CIPAE (2020)
Lijuan Cao, Audrey Rorrer, David Pugalee, Mary Lou Maher, Mohsen Dorodchi, David Frye, Tiffany Barnes, Eric N. Wiebe
Work in Progress Report: A STEM EcoSystem Approach to CS/CT for All in a Middle School. SIGCSE (2020)
Erin Kasson, Lijuan Cao, Ming Huang, Dezhi Wu, Patricia A. Cavazos-Rehg
Leveraging Twitter Data to Explore the Feasibility of Detecting Negative Health Outcomes Related to Vaping. HCI (49) (2020)
Ting Li, Taeho Jung, Zhijin Qiu, Hanshang Li, Lijuan Cao, Yu Wang
Scalable Privacy-Preserving Participant Selection for Mobile Crowdsensing Systems: Participant Grouping and Secure Group Bidding. IEEE Trans. Netw. Sci. Eng. 7 (2) (2020)
Yun Yang, Lijuan Cao, Qing Liu, Po Yang
A Stacked Multi-Granularity Convolution Denoising Auto-Encoder. IEEE Access 7 (2019)
Lijuan Cao, Michael Grabchak
Interactive Preparatory Work in a Flipped Programming Course. CompEd (2019)
Lijuan Cao, Qing Liu, Yun Yang
An Unsupervised Feature Extraction Method based on Multi-granularity Convolution Denoising Autoencoder. ICIS (2019)
Lijuan Cao, Audrey Rorrer
An Active and Collaborative Approach to Teaching Discrete Structures. SIGCSE (2018)
Michael Grabchak, Lijuan Cao, Zhiyi Zhang
Authorship Attribution Using Diversity Profiles. J. Quant. Linguistics 25 (2) (2018)
Chang Tang, Lijuan Cao, Xiao Zheng, Minhui Wang
Gene selection for microarray data classification via subspace learning and manifold regularization. Medical Biol. Eng. Comput. 56 (7) (2018)
Ting Li, Zhijin Qiu, Lijuan Cao, Hanshang Li, Zhongwen Guo, Fan Li, Xinghua Shi, Yu Wang
Participant Grouping for Privacy Preservation in Mobile Crowdsensing over Hierarchical Edge Clouds. IPCCC (2018)
Ting Li, Taeho Jung, Hanshang Li, Lijuan Cao, Weichao Wang, Xiang-Yang Li, Yu Wang
Scalable privacy-preserving participant selection in mobile crowd sensing. PerCom (2017)
Jian Guan, Lijuan Cao, Weiwei Chen, Xinzhou Cheng, Lexi Xu, Xiaodong Cao
A comprehensive method of evaluation for wireless network operation stability. ISCIT (2016)
Lijuan Cao, Michael Grabchak
Smoothly truncated levy walks: Toward a realistic mobility model. IPCCC (2014)
Bin Liu, Lijuan Cao, Yumei Tang, Ming Zhong
Visual Search on E-commerce Category Navigation: A Multi-language Study. HCI (19) (2014)
Lijuan Cao, Wenjun Xu, Xuehong Lin, Jiaru Lin
A CSMA/TDMA dynamic splitting scheme for MAC protocol in VANETs. WCSP (2013)
Xingsong Hou, Duan Xue, Baiping Jin, Lijuan Cao
Joint optimization coding for level and map information in H.264/AVC. Signal Process. Image Commun. 26 (8-9) (2011)
Lulu Li, Wen Zhao, Lijuan Cao, Hongyan Ao
Numerical Simulation for Optimal Harvesting Strategies of Fish Stock in Fluctuating Environment. CSEE (1) (2011)
Lijuan Cao, Kashif Sharif, Teresa A. Dahlberg, Yu Wang
Multiple-metric hybrid anycast protocol for heterogeneous access networks. Int. J. Ad Hoc Ubiquitous Comput. 8 (1/2) (2011)
Kashif Sharif, Teresa A. Dahlberg, Lijuan Cao
Anycast Based Lightweight Routing Protocol for Mobile Sink Discovery in Sensor Networks. CCNC (2010)
Yu Wang, Lijuan Cao, Teresa A. Dahlberg, Fan Li, Xinghua Shi
Self-organizing fault-tolerant topology control in large-scale three-dimensional wireless networks. ACM Trans. Auton. Adapt. Syst. 4 (3) (2009)
JiBin Lan, Jian Lin, Lijuan Cao
An information mining method for deriving weights from an interval comparison matrix. Math. Comput. Model. 50 (3-4) (2009)
Lijuan Cao, Kashif Sharif, Yu Wang, Teresa A. Dahlberg
Multiple-Metric Hybrid Routing Protocol for Heterogeneous Wireless Access Networks. CCNC (2009)
Bo Bai, Lijuan Cao, Jian Lin
Mining Weight Information from a Triangular Fuzzy Number Preference. FSKD (1) (2008)
Kashif Sharif, Lijuan Cao, Yu Wang, Teresa A. Dahlberg
A Hybrid Anycast Routing Protocol for Load Balancing in Heterogeneous Access Networks. ICCCN (2008)
Yu Wang, Lijuan Cao, Teresa A. Dahlberg
Efficient Fault Tolerant Topology Control for Three-Dimensional Wireless Networks. ICCCN (2008)
Lijuan Cao, Kashif Sharif, Yu Wang, Teresa A. Dahlberg
Adaptive Multiple Metrics Routing Protocols for Heterogeneous Multi-Hop Wireless Networks. CCNC (2008)
Lijuan Cao, Teresa A. Dahlberg, Yu Wang
Performance Evaluation of Energy Efficient Ad Hoc Routing Protocols. IPCCC (2007)
Lijuan Cao, Lim Kian Guan, Zhang Jingqing
Bond rating using support vector machine. Intell. Data Anal. 10 (3) (2006)
Lijuan Cao, S. Sathiya Keerthi, Chong Jin Ong, J. Q. Zhang, U. Periyathamby, Xiu Ju Fu, H. P. Lee
Parallel sequential minimal optimization for the training of support vector machines. IEEE Trans. Neural Networks 17 (4) (2006)
Lijuan Cao, Teresa A. Dahlberg
Path cost metrics for multi-hop network routing. IPCCC (2006)
Lijuan Cao, S. Sathiya Keerthi, Chong Jin Ong, P. Uvaraj, Xiu Ju Fu, H. P. Lee
Developing parallel sequential minimal optimization for fast training support vector machine. Neurocomputing 70 (1-3) (2006)
Y. F. Sun, Yanchun Liang, W. L. Zhang, H. P. Lee, W. Z. Lin, Lijuan Cao
Optimal partition algorithm of the RBF neural network and its application to financial time series forecasting. Neural Comput. Appl. 14 (1) (2005)
Lijuan Cao, Kok Seng Chua, W. K. Chong, H. P. Lee, Q. M. Gu
A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine. Neurocomputing 55 (1-2) (2003)
Lijuan Cao, Kok Seng Chua, Lim Kian Guan
Combining KPCA with support vector machine for time series forecasting. CIFEr (2003)
Lijuan Cao
Support vector machines experts for time series forecasting. Neurocomputing 51 (2003)
Lijuan Cao, Heow Pueh Lee, Wai Keong Chong
Modified support vector novelty detector using training data with outliers. Pattern Recognit. Lett. 24 (14) (2003)
Lijuan Cao, H. P. Lee, C. K. Seng, Q. Gu
Saliency Analysis of Support Vector Machines for Gene Selection in Tissue Classification. Neural Comput. Appl. 11 (3-4) (2003)
Lijuan Cao, Francis Eng Hock Tay
Support vector machine with adaptive parameters in financial time series forecasting. IEEE Trans. Neural Networks 14 (6) (2003)
Lijuan Cao, Kok Seng Chua, Lim Kian Guan
c-ascending support vector machines for financial time series forecasting. CIFEr (2003)
Francis Eng Hock Tay, Lijuan Cao
Modified support vector machines in financial time series forecasting. Neurocomputing 48 (1-4) (2002)
Lijuan Cao, Qingming Gu
Dynamic support vector machines for non-stationary time series forecasting. Intell. Data Anal. 6 (1) (2002)
Francis Eng Hock Tay, Lijuan Cao
ε Descending Support Vector Machines for Financial Time Series Forecasting. Neural Process. Lett. 15 (2) (2002)
Francis Eng Hock Tay, Lijuan Cao
Improved financial time series forecasting by combining Support Vector Machines with self-organizing feature map. Intell. Data Anal. 5 (4) (2001)
Francis Eng Hock Tay, Lijuan Cao
A comparative study of saliency analysis and genetic algorithm for feature selection in support vector machines. Intell. Data Anal. 5 (3) (2001)
Lijuan Cao, Francis Eng Hock Tay
Financial Forecasting Using Support Vector Machines. Neural Comput. Appl. 10 (2) (2001)
Lijuan Cao, Francis Eng Hock Tay
epsilon-Descending Support Vector Machines for Financial Time Series Forecasting. IDEAL (2000)
Lijuan Cao, Francis Eng Hock Tay
Feature Selection for Support Vector Machines. IDEAL (2000)
Lijuan Cao, Francis Eng Hock Tay
Neuro-Genetic Based Method to the Classification of Acupuncture Needle: A Case Study. GECCO (1999)
Lijuan Cao, Francis Eng Hock Tay, Lawrence Ma, Wai Cheong Yeong
Classification of the Market States Using Neural Network. GECCO (1999)