Lijuan Cao

发表

Gene selection for microarray data classification via subspace learning and manifold regularization

Chang Tang, Xiao Zheng, Lijuan Cao, 2017, Medical & Biological Engineering & Computing.

An Empirical Study of Dimensionality Reduction in Support Vector Machine

Zongwu Cai, Lijuan Cao, Jingqing Zhang, 2006 .

Joint optimization coding for level and map information in H.264/AVC

Xingsong Hou, Lijuan Cao, Duan Xue, 2011, Signal Process. Image Commun..

Developing a Systemic, Scalable Model to Broaden Participation in Middle School Computer Science

Mary Lou Maher, Eric Wiebe, Lijuan Cao, 2019, 2019 Research on Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT).

Classification of the Market States Using Neural Network

Francis Eng Hock Tay, Lijuan Cao, Ma Lawrence, 1999, GECCO.

Application of support vector machines in !nancial time series forecasting

Lijuan Cao, F. Tay, Lijuan Cao, 2001 .

A Downlink Coverage Self-optimizing Algorithm for LTE Cellular Networks Based on Big Data Analytics

Chen Cheng, Lexi Xu, Xinzhou Cheng, 2017 .

Interactive Preparatory Work in a Flipped Programming Course

Lijuan Cao, Michael Grabchak, 2019, CompEd.

Parallel sequential minimal optimization for the training of support vector machines

S. Sathiya Keerthi, Chong Jin Ong, Lijuan Cao, 2006, IEEE Trans. Neural Networks.

ε-Descending Support Vector Machines for Financial Time Series Forecasting

Francis Eng Hock Tay, Lijuan Cao, F. Tay, 2002, Neural Processing Letters.

Modified support vector novelty detector using training data with outliers

Heow Pueh Lee, Lijuan Cao, Wai Keong Chong, 2003, Pattern Recognit. Lett..

Improved financial time series forecasting by combining Support Vector Machines with self-organizing feature map

Francis Eng Hock Tay, Lijuan Cao, F. Tay, 2001, Intell. Data Anal..

Work in Progress Report: A STEM EcoSystem Approach to CS/CT for All in a Middle School

Mary Lou Maher, Eric Wiebe, Lijuan Cao, 2020, SIGCSE.

Support vector machine with adaptive parameters in financial time series forecasting

Francis Eng Hock Tay, Lijuan Cao, F. Tay, 2003, IEEE Trans. Neural Networks.

Multiple-metric hybrid anycast protocol for heterogeneous access networks

Yu Wang, Kashif Sharif, Teresa A. Dahlberg, 2011, Int. J. Ad Hoc Ubiquitous Comput..

Path cost metrics for multi-hop network routing

Teresa A. Dahlberg, Lijuan Cao, 2006, 2006 IEEE International Performance Computing and Communications Conference.

A comparative study of saliency analysis and genetic algorithm for feature selection in support vector machines

Francis Eng Hock Tay, Lijuan Cao, F. Tay, 2001, Intell. Data Anal..

Time Series Forecasting using Rough Sets Theory

Lijuan Cao, Lixiang Shen, Francis E. H. Tay, 2003 .

Process Bus Network Flow Modeling for Protective Relaying Testing in IEC 61850-Based Substation

Yi Wang, Yanxu Zhang, Lijuan Cao, 2018, 2018 IEEE Power & Energy Society General Meeting (PESGM).

A Coverage of Self-Optimization Algorithm using big data analytics in WCDMA cellular networks

Jie Gao, Lexi Xu, Xinzhou Cheng, 2016 .

Feature Selection for Support Vector Machines

Francis Eng Hock Tay, Lijuan Cao, F. Tay, 2000, IDEAL.

Portfolio Selection and Optimization Using Genetic Operators

Lijuan Cao, Lixiang Shen, Francis E. H. Tay, 2003 .

Anycast Based Lightweight Routing Protocol for Mobile Sink Discovery in Sensor Networks

Kashif Sharif, Teresa A. Dahlberg, Lijuan Cao, 2010, 2010 7th IEEE Consumer Communications and Networking Conference.

Scalable Privacy-Preserving Participant Selection for Mobile Crowdsensing Systems: Participant Grouping and Secure Group Bidding

Ting Li, Yu Wang, Zhijin Qiu, 2020, IEEE Transactions on Network Science and Engineering.

Neuro-Genetic Based Method to the Classification of Acupuncture Needle: A Case Study

Francis Eng Hock Tay, Lijuan Cao, 1999, GECCO.

A Stacked Multi-Granularity Convolution Denoising Auto-Encoder

Yun Yang, Po Yang, Qing Liu, 2019, IEEE Access.

Multiple-Metric Hybrid Routing Protocol for Heterogeneous Wireless Access Networks

Yu Wang, Kashif Sharif, Lijuan Cao, 2009, 2009 6th IEEE Consumer Communications and Networking Conference.

Genetic Algorithms and Genetic Niching

Lijuan Cao, Lixiang Shen, Francis E. H. Tay, 2003 .

Participant Grouping for Privacy Preservation in Mobile Crowdsensing over Hierarchical Edge Clouds

Ting Li, Zhijin Qiu, Zhongwen Guo, 2018, 2018 IEEE 37th International Performance Computing and Communications Conference (IPCCC).

Other Methods and Their Applications

Lijuan Cao, Lixiang Shen, Francis E. H. Tay, 2003 .

Privacy-Preserving Participant Grouping for Mobile Social Sensing over Edge Clouds

Yu Wang, Zhijin Qiu, Dazhao Cheng, 2020 .

Authorship Attribution Using Diversity Profiles

Zhiyi Zhang, Lijuan Cao, Michael Grabchak, 2018, J. Quant. Linguistics.

Bond rating using support vector machine

Lijuan Cao, Zhang Jingqing, Lim Kian Guan, 2006, Intell. Data Anal..

Smoothly truncated levy walks: Toward a realistic mobility model

Lijuan Cao, Michael Grabchak, M. Grabchak, 2014, 2014 IEEE 33rd International Performance Computing and Communications Conference (IPCCC).

Optimal partition algorithm of the RBF neural network and its application to financial time series forecasting

Yanchun Liang, W. Z. Lin, Lijuan Cao, 2005, Neural Computing & Applications.

Developing parallel sequential minimal optimization for fast training support vector machine

S. Sathiya Keerthi, Chong Jin Ong, Lijuan Cao, 2006, Neurocomputing.

Dynamic support vector machines for non-stationary time series forecasting

Lijuan Cao, Qingming Gu, Lijuan Cao, 2002, Intell. Data Anal..

Adaptive Multiple Metrics Routing Protocols for Heterogeneous Multi-Hop Wireless Networks

Yu Wang, Lijuan Cao, K. Sharif, 2008, 2008 5th IEEE Consumer Communications and Networking Conference.

Visual Search on E-commerce Category Navigation: A Multi-language Study

Bin Liu, Ming Zhong, Lijuan Cao, 2014, HCI.

Numerical Simulation for Optimal Harvesting Strategies of Fish Stock in Fluctuating Environment

Wen Zhao, Lijuan Cao, Lulu Li, 2011, CSEE.

Efficient Fault Tolerant Topology Control for Three-Dimensional Wireless Networks

Yu Wang, Teresa A. Dahlberg, Lijuan Cao, 2008, 2008 Proceedings of 17th International Conference on Computer Communications and Networks.

Modified support vector machines in financial time series forecasting

Francis Eng Hock Tay, Lijuan Cao, F. Tay, 2002, Neurocomputing.

Design of Digital Library Service Platform based on Cloud Computing

Lijuan Cao, Lijuan Cao, 2020, CIPAE.

An Active and Collaborative Approach to Teaching Discrete Structures

Audrey Rorrer, Lijuan Cao, 2018, SIGCSE.

Big Data Based Recommendation Scheme in APP Marketing Field

Xinzhou Cheng, Yuwei Jia, Kun Chao, 2017 .

Performance Evaluation of Energy Efficient Ad Hoc Routing Protocols

Yu Wang, Teresa A. Dahlberg, Lijuan Cao, 2007, 2007 IEEE International Performance, Computing, and Communications Conference.

A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine

Lijuan Cao, Kok Seng Chua, H. P. Lee, 2003, Neurocomputing.

Combining KPCA with support vector machine for time series forecasting

Lijuan Cao, Kok Seng Chua, Lim Kian Guan, 2003, 2003 IEEE International Conference on Computational Intelligence for Financial Engineering, 2003. Proceedings..

Saliency Analysis of Support Vector Machines for Feature Selection in Financial Time Series Forecasting

Lijuan Cao, Francis E. H. Tay, F. Tay, 2004 .

A Value-Added Service Strategy for 3G Mobile Network Based on Network Resource Utilization

Jie Gao, Xinzhou Cheng, Yuwei Jia, 2017 .

Speckle noise reduction for optical coherence tomography images via non-local weighted group low-rank representation

Xiao Zheng, Jiajia Chen, Lijuan Cao, 2017 .

A comprehensive method of evaluation for wireless network operation stability

Xiaodong Cao, Jian Guan, Weiwei Chen, 2016, 2016 16th International Symposium on Communications and Information Technologies (ISCIT).

The design of rural remote broadcast intelligent controller based on SIM900A module

Lijuan Cao, Guofeng Tang, San-hua Guo, 2015 .

A CSMA/TDMA dynamic splitting scheme for MAC protocol in VANETs

Jiaru Lin, Wenjun Xu, Lijuan Cao, 2013, 2013 International Conference on Wireless Communications and Signal Processing.

c-ascending support vector machines for financial time series forecasting

Lijuan Cao, Kok Seng Chua, Lim Kian Guan, 2003, 2003 IEEE International Conference on Computational Intelligence for Financial Engineering, 2003. Proceedings..

A Hybrid Anycast Routing Protocol for Load Balancing in Heterogeneous Access Networks

Yu Wang, Kashif Sharif, Teresa A. Dahlberg, 2008, 2008 Proceedings of 17th International Conference on Computer Communications and Networks.

Mining Weight Information from a Triangular Fuzzy Number Preference

Jian Lin, Lijuan Cao, Bo Bai, 2008, 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery.

epsilon-Descending Support Vector Machines for Financial Time Series Forecasting

Francis Eng Hock Tay, Lijuan Cao, F. Tay, 2000, IDEAL.

A Review of Support Vector Machines in Regression Estimation

Lijuan Cao, Lixiang Shen, Francis E. H. Tay, 2003 .

A user perception based value-added service strategy for 4G mobile networks

Xinzhou Cheng, Mingqiang Yuan, Kun Chao, 2016 .

Financial Forecasting Using Support Vector Machines

Francis Eng Hock Tay, Lijuan Cao, F. Tay, 2001, Neural Computing & Applications.

Support vector machines experts for time series forecasting

Lijuan Cao, Lijuan Cao, 2003, Neurocomputing.

Scalable privacy-preserving participant selection in mobile crowd sensing

Xiang-Yang Li, Yu Wang, Ting Li, 2017, 2017 IEEE International Conference on Pervasive Computing and Communications (PerCom).

An information mining method for deriving weights from an interval comparison matrix

Jian Lin, Lijuan Cao, JiBin Lan, 2009, Math. Comput. Model..

A computational-intelligence-based optimization of agents' initial positions in land combat simulation

Chunguo Wu, Yanchun Liang, Heow Pueh Lee, 2003 .

Ordinary Shares, Exotic Methods: Financial Forecasting Using Data Mining Techniques

Lijuan Cao, Lixiang Shen, Francis E. H. Tay, 2003 .