Neuro-Genetic Based Method to the Classification of Acupuncture Needle: A Case Study. - Lijuan Cao; Francis Eng Hock Tay (GECCO, 1999)

Classification of the Market States Using Neural Network. - Lijuan Cao; Francis Eng Hock Tay; Lawrence Ma; Wai Cheong Yeong (GECCO, 1999)

Feature Selection for Support Vector Machines. - Lijuan Cao; Francis Eng Hock Tay (IDEAL, 2000)

epsilon-Descending Support Vector Machines for Financial Time Series Forecasting. - Lijuan Cao; Francis Eng Hock Tay (IDEAL, 2000)

A comparative study of saliency analysis and genetic algorithm for feature selection in support vector machines. - Francis Eng Hock Tay; Lijuan Cao (Intell. Data Anal., 2001)

Improved financial time series forecasting by combining Support Vector Machines with self-organizing feature map. - Francis Eng Hock Tay; Lijuan Cao (Intell. Data Anal., 2001)

Financial Forecasting Using Support Vector Machines. - Lijuan Cao; Francis Eng Hock Tay (Neural Comput. Appl., 2001)

Dynamic support vector machines for non-stationary time series forecasting. - Lijuan Cao; Qingming Gu (Intell. Data Anal., 2002)

Modified support vector machines in financial time series forecasting. - Francis Eng Hock Tay; Lijuan Cao (Neurocomputing, 2002)

ε Descending Support Vector Machines for Financial Time Series Forecasting. - Francis Eng Hock Tay; Lijuan Cao (Neural Process. Lett., 2002)

c-ascending support vector machines for financial time series forecasting. - Lijuan Cao; Kok Seng Chua; Lim Kian Guan (CIFEr, 2003)

Combining KPCA with support vector machine for time series forecasting. - Lijuan Cao; Kok Seng Chua; Lim Kian Guan (CIFEr, 2003)

Support vector machines experts for time series forecasting. - Lijuan Cao (Neurocomputing, 2003)

A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine. - Lijuan Cao; Kok Seng Chua; Wai Keong Chong; Heow Pueh Lee; Q. M. Gu (Neurocomputing, 2003)

Saliency Analysis of Support Vector Machines for Gene Selection in Tissue Classification. - Lijuan Cao; Heow Pueh Lee; C. K. Seng; Q. M. Gu (Neural Comput. Appl., 2003)

Modified support vector novelty detector using training data with outliers. - Lijuan Cao; Heow Pueh Lee; Wai Keong Chong (Pattern Recognit. Lett., 2003)

Support vector machine with adaptive parameters in financial time series forecasting. - Lijuan Cao; Francis Eng Hock Tay (IEEE Trans. Neural Networks, 2003)

Optimal partition algorithm of the RBF neural network and its application to financial time series forecasting. - Y. F. Sun; Yanchun Liang 001; W. L. Zhang; H. P. Lee; W. Z. Lin; Lijuan Cao (Neural Comput. Appl., 2005)

Path cost metrics for multi-hop network routing. - Lijuan Cao; Teresa A. Dahlberg (IPCCC, 2006)

Bond rating using support vector machine. - Lijuan Cao; Lim Kian Guan; Zhang Jingqing (Intell. Data Anal., 2006)

Developing parallel sequential minimal optimization for fast training support vector machine. - Lijuan Cao; S. Sathiya Keerthi; Chong Jin Ong; P. Uvaraj; Xiuju Fu; H. P. Lee (Neurocomputing, 2006)

Parallel sequential minimal optimization for the training of support vector machines. - Lijuan Cao; S. Sathiya Keerthi; Chong Jin Ong; J. Q. Zhang; U. Periyathamby; Xiuju Fu; H. P. Lee (IEEE Trans. Neural Networks, 2006)

Performance Evaluation of Energy Efficient Ad Hoc Routing Protocols. - Lijuan Cao; Teresa A. Dahlberg; Yu Wang 003 (IPCCC, 2007)

Adaptive Multiple Metrics Routing Protocols for Heterogeneous Multi-Hop Wireless Networks. - Lijuan Cao; Kashif Sharif; Yu Wang 003; Teresa A. Dahlberg (CCNC, 2008)

Mining Weight Information from a Triangular Fuzzy Number Preference. - Bo Bai; Lijuan Cao; Jian Lin 005 (FSKD (1), 2008)

A Hybrid Anycast Routing Protocol for Load Balancing in Heterogeneous Access Networks. - Kashif Sharif; Lijuan Cao; Yu Wang 003; Teresa A. Dahlberg (ICCCN, 2008)

Efficient Fault Tolerant Topology Control for Three-Dimensional Wireless Networks. - Yu Wang 003; Lijuan Cao; Teresa A. Dahlberg (ICCCN, 2008)

Multiple-Metric Hybrid Routing Protocol for Heterogeneous Wireless Access Networks. - Lijuan Cao; Kashif Sharif; Yu Wang 003; Teresa A. Dahlberg (CCNC, 2009)

An information mining method for deriving weights from an interval comparison matrix. - JiBin Lan; Jian Lin 005; Lijuan Cao (Math. Comput. Model., 2009)

Self-organizing fault-tolerant topology control in large-scale three-dimensional wireless networks. - Yu Wang 003; Lijuan Cao; Teresa A. Dahlberg; Fan Li 001; Xinghua Shi (ACM Trans. Auton. Adapt. Syst., 2009)

Anycast Based Lightweight Routing Protocol for Mobile Sink Discovery in Sensor Networks. - Kashif Sharif; Teresa A. Dahlberg; Lijuan Cao (CCNC, 2010)

Numerical Simulation for Optimal Harvesting Strategies of Fish Stock in Fluctuating Environment. - Lulu Li; Wen Zhao; Lijuan Cao; Hongyan Ao (CSEE (1), 2011)

Multiple-metric hybrid anycast protocol for heterogeneous access networks. - Lijuan Cao; Kashif Sharif; Teresa A. Dahlberg; Yu Wang 003 (Int. J. Ad Hoc Ubiquitous Comput., 2011)

Joint optimization coding for level and map information in H.264/AVC. - Xingsong Hou; Duan Xue; Baiping Jin; Lijuan Cao (Signal Process. Image Commun., 2011)

A CSMA/TDMA dynamic splitting scheme for MAC protocol in VANETs. - Lijuan Cao; Wenjun Xu 001; Xuehong Lin; Jiaru Lin (WCSP, 2013)

Visual Search on E-commerce Category Navigation: A Multi-language Study. - Bin Liu; Lijuan Cao; Yumei Tang; Ming Zhong (HCI (19), 2014)

Smoothly truncated levy walks: Toward a realistic mobility model. - Lijuan Cao; Michael Grabchak (IPCCC, 2014)

A comprehensive method of evaluation for wireless network operation stability. - Jian Guan; Lijuan Cao; Weiwei Chen; Xinzhou Cheng; Lexi Xu; Xiaodong Cao (ISCIT, 2016)

Scalable privacy-preserving participant selection in mobile crowd sensing. - Ting Li 010; Taeho Jung; Hanshang Li; Lijuan Cao; Weichao Wang; Xiang-Yang Li 001; Yu Wang 003 (PerCom, 2017)

Participant Grouping for Privacy Preservation in Mobile Crowdsensing over Hierarchical Edge Clouds. - Ting Li 010; Zhijin Qiu; Lijuan Cao; Hanshang Li; Zhongwen Guo; Fan Li 001; Xinghua Shi; Yu Wang 003 (IPCCC, 2018)

An Active and Collaborative Approach to Teaching Discrete Structures. - Lijuan Cao; Audrey Rorrer (SIGCSE, 2018)

Authorship Attribution Using Diversity Profiles. - Michael Grabchak; Lijuan Cao; Zhiyi Zhang 003 (J. Quant. Linguistics, 2018)

Gene selection for microarray data classification via subspace learning and manifold regularization. - Chang Tang; Lijuan Cao; Xiao Zheng; Minhui Wang (Medical Biol. Eng. Comput., 2018)

An Unsupervised Feature Extraction Method based on Multi-granularity Convolution Denoising Autoencoder. - Lijuan Cao; Qing Liu 019; Yun Yang 003 (ICIS, 2019)

Interactive Preparatory Work in a Flipped Programming Course. - Lijuan Cao; Michael Grabchak (CompEd, 2019)

A Stacked Multi-Granularity Convolution Denoising Auto-Encoder. - Yun Yang 003; Lijuan Cao; Qing Liu 019; Po Yang 001 (IEEE Access, 2019)

Design of Digital Library Service Platform based on Cloud Computing. - Lijuan Cao (CIPAE, 2020)

Leveraging Twitter Data to Explore the Feasibility of Detecting Negative Health Outcomes Related to Vaping. - Erin Kasson; Lijuan Cao; Ming Huang 006; Dezhi Wu; Patricia A. Cavazos-Rehg (HCI (49), 2020)

Work in Progress Report: A STEM EcoSystem Approach to CS/CT for All in a Middle School. - Lijuan Cao; Audrey Rorrer; David Pugalee; Mary Lou Maher; Mohsen Dorodchi; David Frye; Tiffany Barnes; Eric N. Wiebe (SIGCSE, 2020)

Scalable Privacy-Preserving Participant Selection for Mobile Crowdsensing Systems: Participant Grouping and Secure Group Bidding. - Ting Li 010; Taeho Jung; Zhijin Qiu; Hanshang Li; Lijuan Cao; Yu Wang 003 (IEEE Trans. Netw. Sci. Eng., 2020)

Knowledge Map and Its Application in University Library. - Lijuan Cao (CIPAE, 2021)

Design and Implementation of Multi-Function Table Wiping Control System Based on NBIoT. - Lijuan Cao; Jianhui Li; Yang-Jing Zhou; Yuan-Hong Lian; Dunhua Zhao; Junjie Chen 003 (CIS, 2021)

The Design and Implementation of a Method for Evaluating and Building Research Practice Partnerships. - Audrey Rorrer; David Pugalee; Callie Edwards; Danielle Boulden; Mary Lou Maher; Lijuan Cao; Mohsen Dorodchi; Veronica Cateté; David Frye; Tiffany Barnes; Eric N. Wiebe (SIGCSE, 2021)

Preference Recommendation Scheme based on Social Networks of Mobile Users. - Lijuan Cao; Xinzhou Cheng; Lexi Xu; Chen Cheng; Yi Li 053; Yuwei Jia; Chuntao Song; Heng Zhang (TrustCom, 2021)

A Novel Architecture and Algorithm for Prediction of Students Psychological Health based on Big Data. - Chen Cheng; Xinzhou Cheng; Yuting Zheng; Lijuan Cao; Yuhui Han; Yuwei Jia; Qingqing Zhang; Yi Zhang; Ya-nan Zhang; Lexi Xu (TrustCom, 2021)

A Hybrid User Recommendation Scheme Based on Collaborative Filtering and Association Rules. - Yuwei Jia; Kun Chao; Xinzhou Cheng; Jian Guan; Lijuan Cao; Yi Li 053; Chen Cheng; Yuchao Jin; Lexi Xu (TrustCom, 2021)

Evaluation and Application of News Transmission Speed in New Media Environment. - Heng Zhang; Yuhan Liu; Lexi Xu; Xinzhou Cheng; Lijuan Cao; Wei Xia; Ciguang Yang (TrustCom, 2021)

Privacy-Preserving Participant Grouping for Mobile Social Sensing Over Edge Clouds. - Ting Li 010; Zhijin Qiu; Lijuan Cao; Dazhao Cheng; Weichao Wang; Xinghua Shi; Yu Wang 003 (IEEE Trans. Netw. Sci. Eng., 2021)

Telecom Big Data assisted Algorithm and System of Campus Safety Management. - Chen Cheng; Xinzhou Cheng; Shikun Jiang; Xin Zhao; Yuhui Han; Tao Zhang; Lijuan Cao; Yuwei Jia; Tian Xiao; Bei Li (TrustCom, 2022)

User Analysis and Traffic Prediction Method based on Behavior Slicing. - Xin He; Lijuan Cao; Yuwei Jia; Kun Chao; Miaoqiong Wang; Chao Wang; Yunyun Wang; Runsha Dong; Zhenqiao Zhao (TrustCom, 2022)

A Novel User Mobility Prediction Scheme based on the Weighted Markov Chain Model. - Yuwei Jia; Kun Chao; Xinzhou Cheng; Lin Lin; Lijuan Cao; Yi Li 053; Yuchao Jin; Zixiang Di; Chen Cheng (TrustCom, 2022)

Research on Enterprises Loss in Regional Economic Risk Management. - Heng Zhang; Wenyu Li; Lianbo Song; Lexi Xu; Xinzhou Cheng; Lijuan Cao; Kun Chao; Wei Xia; Qinqin Yu; Sai Han (TrustCom, 2022)

Unified K-means coupled self-representation and neighborhood kernel learning for clustering single-cell RNA-sequencing data. - Zheng Li; Chang Tang; Xiao Zheng; Zhenglai Li; Wei Zhang 049; Lijuan Cao (Neurocomputing, 2022)

User Perception Analysis Based on Random Forest. - Lijuan Cao; Chuntao Song; Chang Cao; Lexi Xu; Zhen Xing; Chen Cheng; Zijing Yang; Yi Li 053; Xinzhou Cheng (ICCT, 2023)

Experience Report on Using WeBWorK in Teaching Discrete Mathematics. - Lijuan Cao; Michael Grabchak (SIGCSE (1), 2023)

Research on Operation Evolution of 5G Non-Public Network. - Kun Chao; Zhen Xing; Xinzhou Cheng; Jian Guan; Lexi Xu; Xiqing Liu; Yuwei Jia; Lijuan Cao (TrustCom, 2023)

Research on Enterprises Growth for Industries in Post-Epidemic Era. - Heng Zhang; Bing Yan; Yunpeng Li; Lexi Xu; Xinzhou Cheng; Lijuan Cao; Kun Chao; Wei Xia; Qinqin Yu (TrustCom, 2023)

Contrastive Trustworthy Prototype Learning for multi-modality myocardial pathology segmentation. - Jingjing Liu; Ao Wei; Lijuan Cao; Xiao He 010; Chang Tang (Appl. Soft Comput., 2025)