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Lijuan Cao
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2020 – today
- 2023
- [c42]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: 885-889 - [c41]Lijuan Cao
, Michael Grabchak
Experience Report on Using WeBWorK in Teaching Discrete Mathematics. SIGCSE (1) 2023: 861-867 - [c40]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: 2158-2163 - [c39]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: 2175-2180 - 2022
- [j25]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: 715-726 (2022) - [c38]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: 1078-1083 - [c37]Heng Zhang, Wenyu Li, Lianbo Song, Lexi Xu
Research on Enterprises Loss in Regional Economic Risk Management. TrustCom 2022: 1485-1490 - [c36]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: 1557-1562 - [c35]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: 1605-1610 - 2021
- [j24]Ting Li, Zhijin Qiu
Privacy-Preserving Participant Grouping for Mobile Social Sensing Over Edge Clouds. IEEE Trans. Netw. Sci. Eng. 8(2): 865-880 (2021) - [c34]Lijuan Cao:
Knowledge Map and Its Application in University Library. CIPAE 2021: 1022-1026 - [c33]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: 513-518 - [c32]Audrey Rorrer, David Pugalee, Callie Edwards
The Design and Implementation of a Method for Evaluating and Building Research Practice Partnerships. SIGCSE 2021: 753-759 - [c31]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: 1391-1396 - [c30]Heng Zhang, Yuhan Liu, Lexi Xu
Evaluation and Application of News Transmission Speed in New Media Environment. TrustCom 2021: 1422-1427 - [c29]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: 1519-1524 - [c28]Lijuan Cao, Xinzhou Cheng, Lexi Xu
Preference Recommendation Scheme based on Social Networks of Mobile Users. TrustCom 2021: 1525-1530 - 2020
- [j23]Ting Li, Taeho Jung
Scalable Privacy-Preserving Participant Selection for Mobile Crowdsensing Systems: Participant Grouping and Secure Group Bidding. IEEE Trans. Netw. Sci. Eng. 7(2): 855-868 (2020) - [c27]Lijuan Cao:
Design of Digital Library Service Platform based on Cloud Computing. CIPAE 2020: 37-41 - [c26]Erin Kasson, Lijuan Cao, Ming Huang
Leveraging Twitter Data to Explore the Feasibility of Detecting Negative Health Outcomes Related to Vaping. HCI (49) 2020: 464-468 - [c25]Lijuan Cao, Audrey Rorrer, David Pugalee
Work in Progress Report: A STEM EcoSystem Approach to CS/CT for All in a Middle School. SIGCSE 2020: 999-1004
2010 – 2019
- 2019
- [j22]Yun Yang
A Stacked Multi-Granularity Convolution Denoising Auto-Encoder. IEEE Access 7: 83888-83899 (2019) - [c24]Lijuan Cao, Qing Liu, Yun Yang
An Unsupervised Feature Extraction Method based on Multi-granularity Convolution Denoising Autoencoder. ICIS 2019: 118-123 - [c23]Lijuan Cao, Michael Grabchak:
Interactive Preparatory Work in a Flipped Programming Course. CompEd 2019: 229-235 - 2018
- [j21]Michael Grabchak, Lijuan Cao, Zhiyi Zhang:
Authorship Attribution Using Diversity Profiles. J. Quant. Linguistics 25(2): 142-155 (2018) - [j20]Chang Tang
Gene selection for microarray data classification via subspace learning and manifold regularization. Medical Biol. Eng. Comput. 56(7): 1271-1284 (2018) - [c22]Ting Li, Zhijin Qiu
Participant Grouping for Privacy Preservation in Mobile Crowdsensing over Hierarchical Edge Clouds. IPCCC 2018: 1-8 - [c21]Lijuan Cao, Audrey Rorrer
An Active and Collaborative Approach to Teaching Discrete Structures. SIGCSE 2018: 822-827 - 2017
- [c20]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: 59-68 - 2016
- [c19]Jian Guan, Lijuan Cao, Weiwei Chen, Xinzhou Cheng, Lexi Xu
A comprehensive method of evaluation for wireless network operation stability. ISCIT 2016: 342-346 - 2014
- [c18]Bin Liu, Lijuan Cao, Yumei Tang, Ming Zhong:
Visual Search on E-commerce Category Navigation: A Multi-language Study. HCI (19) 2014: 470-481 - [c17]Lijuan Cao, Michael Grabchak:
Smoothly truncated levy walks: Toward a realistic mobility model. IPCCC 2014: 1-8 - 2013
- [c16]Lijuan Cao, Wenjun Xu, Xuehong Lin, Jiaru Lin:
A CSMA/TDMA dynamic splitting scheme for MAC protocol in VANETs. WCSP 2013: 1-6 - 2011
- [j19]Lijuan Cao, Kashif Sharif
Multiple-metric hybrid anycast protocol for heterogeneous access networks. Int. J. Ad Hoc Ubiquitous Comput. 8(1/2): 36-53 (2011) - [j18]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): 507-517 (2011) - [c15]Lulu Li, Wen Zhao, Lijuan Cao, Hongyan Ao:
Numerical Simulation for Optimal Harvesting Strategies of Fish Stock in Fluctuating Environment. CSEE (1) 2011: 131-136 - 2010
- [c14]Kashif Sharif
Anycast Based Lightweight Routing Protocol for Mobile Sink Discovery in Sensor Networks. CCNC 2010: 1-2
2000 – 2009
- 2009
- [j17]JiBin Lan, Jian Lin
An information mining method for deriving weights from an interval comparison matrix. Math. Comput. Model. 50(3-4): 393-400 (2009) - [j16]Yu Wang
Self-organizing fault-tolerant topology control in large-scale three-dimensional wireless networks. ACM Trans. Auton. Adapt. Syst. 4(3): 19:1-19:21 (2009) - [c13]Lijuan Cao, Kashif Sharif
Multiple-Metric Hybrid Routing Protocol for Heterogeneous Wireless Access Networks. CCNC 2009: 1-5 - 2008
- [c12]Lijuan Cao, Kashif Sharif
Adaptive Multiple Metrics Routing Protocols for Heterogeneous Multi-Hop Wireless Networks. CCNC 2008: 13-17 - [c11]Bo Bai, Lijuan Cao, Jian Lin
Mining Weight Information from a Triangular Fuzzy Number Preference. FSKD (1) 2008: 329-334 - [c10]Kashif Sharif
A Hybrid Anycast Routing Protocol for Load Balancing in Heterogeneous Access Networks. ICCCN 2008: 99-104 - [c9]Yu Wang, Lijuan Cao, Teresa A. Dahlberg:
Efficient Fault Tolerant Topology Control for Three-Dimensional Wireless Networks. ICCCN 2008: 336-341 - 2007
- [c8]Lijuan Cao, Teresa A. Dahlberg, Yu Wang:
Performance Evaluation of Energy Efficient Ad Hoc Routing Protocols. IPCCC 2007: 306-313 - 2006
- [j15]Lijuan Cao, Lim Kian Guan, Zhang Jingqing:
Bond rating using support vector machine. Intell. Data Anal. 10(3): 285-296 (2006) - [j14]Lijuan Cao, S. Sathiya Keerthi, Chong Jin Ong
Developing parallel sequential minimal optimization for fast training support vector machine. Neurocomputing 70(1-3): 93-104 (2006) - [j13]Lijuan Cao, S. Sathiya Keerthi, Chong Jin Ong
Parallel sequential minimal optimization for the training of support vector machines. IEEE Trans. Neural Networks 17(4): 1039-1049 (2006) - [c7]Lijuan Cao, Teresa A. Dahlberg:
Path cost metrics for multi-hop network routing. IPCCC 2006 - 2005
- [j12]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): 36-44 (2005) - 2003
- [j11]Lijuan Cao:
Support vector machines experts for time series forecasting. Neurocomputing 51: 321-339 (2003) - [j10]Lijuan Cao, Kok Seng Chua, Wai Keong Chong, Heow Pueh Lee, Q. M. Gu:
A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine. Neurocomputing 55(1-2): 321-336 (2003) - [j9]Lijuan Cao, Heow Pueh Lee, C. K. Seng, Q. M. Gu:
Saliency Analysis of Support Vector Machines for Gene Selection in Tissue Classification. Neural Comput. Appl. 11(3-4): 244-249 (2003) - [j8]Lijuan Cao, Heow Pueh Lee, Wai Keong Chong:
Modified support vector novelty detector using training data with outliers. Pattern Recognit. Lett. 24(14): 2479-2487 (2003) - [j7]Lijuan Cao, Francis Eng Hock Tay:
Support vector machine with adaptive parameters in financial time series forecasting. IEEE Trans. Neural Networks 14(6): 1506-1518 (2003) - [c6]Lijuan Cao, Kok Seng Chua, Lim Kian Guan:
c-ascending support vector machines for financial time series forecasting. CIFEr 2003: 317-323 - [c5]Lijuan Cao, Kok Seng Chua, Lim Kian Guan:
Combining KPCA with support vector machine for time series forecasting. CIFEr 2003: 325-329 - 2002
- [j6]Lijuan Cao, Qingming Gu:
Dynamic support vector machines for non-stationary time series forecasting. Intell. Data Anal. 6(1): 67-83 (2002) - [j5]Francis Eng Hock Tay, Lijuan Cao:
Modified support vector machines in financial time series forecasting. Neurocomputing 48(1-4): 847-861 (2002) - [j4]Francis Eng Hock Tay, Lijuan Cao:
ε Descending Support Vector Machines for Financial Time Series Forecasting. Neural Process. Lett. 15(2): 179-195 (2002) - 2001
- [j3]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): 191-209 (2001) - [j2]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): 339-354 (2001) - [j1]Lijuan Cao, Francis Eng Hock Tay:
Financial Forecasting Using Support Vector Machines. Neural Comput. Appl. 10(2): 184-192 (2001) - 2000
- [c4]Lijuan Cao, Francis Eng Hock Tay:
Feature Selection for Support Vector Machines. IDEAL 2000: 268-273 - [c3]Lijuan Cao, Francis Eng Hock Tay:
epsilon-Descending Support Vector Machines for Financial Time Series Forecasting. IDEAL 2000: 274-279
1990 – 1999
- 1999
- [c2]Lijuan Cao, Francis Eng Hock Tay:
Neuro-Genetic Based Method to the Classification of Acupuncture Needle: A Case Study. GECCO 1999: 99-105 - [c1]Lijuan Cao, Francis Eng Hock Tay, Lawrence Ma, Wai Cheong Yeong:
Classification of the Market States Using Neural Network. GECCO 1999: 776
Coauthor Index
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