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Hamido Fujita, <b>Tianrui Li</b>, Yiyu Yao, Three-way Decisions and Granular Computing, Knowledge-Based Systems, 2016 (SCI, EI)</P> <P> 9. <b>Tianrui Li</b>, Jie Lu, Luis Martinez Lopez, Intelligent Techniques for Data Science, International Journal of Intelligent Systems, 2015 (SCI, EI)</P> <P> 8. <b>Tianrui Li</b>, Hongmei Chen, JingTao Yao, Hung Son Nguyen, Advances on Rough Sets and Knowledge Technology, Fundamenta Informaticae, 2014 (SCI, EI)</P> <P> 7. <b>Tianrui Li</b>, Yan Yang, JingTao Yao, Hung Son Nguyen, et al, Transactions on Rough Sets, 2014 (EI)</P> <P> 6. <b>Tianrui Li</b>, Fuzziness in Systems Modelling, International Journal of General Systems, 2013 (SCI, EI)</P> <P> 5. Jie Lu, <b>Tianrui Li</b>, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, 2012 (SCI, EI)</P> <P> 4. Guangquan Zhang, Yang Xu, <b>Tianrui Li</b>, Knowledge-based Systems, 2012 (SCI, EI)</P> <P> 3. <b>Tianrui Li</b>, Pawan Lingras, Yuefeng Li, Joseph Herbert, International Journal of Computational Intelligence Systems, 2011. (SCI, EI)</P> <P> 2. <b>Tianrui Li</b>, Guoyin Wang, International Journal of Computational Intelligence Systems, 2009. (SCI, EI)</P> <P> 1. <b>Tianrui Li</b>, Yang Xu, International Journal of Computational Intelligence Systems, 2008. (SCI, EI)</P> <P><b><font color="#FF0000" size="3">Books and Edited Books</font></b></P> <P> 18. <b>Tianrui Li</b>, Chuan Luo, Hongmei Chen, Junbo Zhang, <a href="https://www.amazon.cn/%E5%A4%A7%E6%95%B0%E6%8D%AE%E6%8C%96%E6%8E%98%E7%9A%84%E5%8E%9F%E7%90%86%E4%B8%8E%E6%96%B9%E6%B3%95-%E5%9F%BA%E4%BA%8E%E7%B2%92%E8%AE%A1%E7%AE%97%E4%B8%8E%E7%B2%97%E7%B3%99%E9%9B%86%E7%9A%84%E8%A7%86%E8%A7%92-%E6%9D%8E%E5%A4%A9%E7%91%9E-%E7%AD%89/dp/B01HOREYE4/ref=sr_1_1?ie=UTF8&qid=1468310254&sr=8-1&keywords=%E6%9D%8E%E5%A4%A9%E7%91%9E">The Principles and Methodologies of Big Data Mining----From the Perspectives of Granular Computing and Rough Sets</a>, Science Press (In Chinese), ISBN 978-7-030-48368-3, 2016.06Ng)Y^t W] H~h _l 'YpencccvStNelWN|{N||ƖvƉ҉ yf[QHr>y 2016 </P> <P> 17. Wen Zhenkun, <b>Tianrui Li</b>, Advances in Intelligent Systems and Computing, Foundations of Intelligent Systems, v 277, Springer-verlag, ISBN: 978-3-642-54923-6, 2014</P> <P> 16. Wen Zhenkun, <b>Tianrui Li</b>, Advances in Intelligent Systems and Computing, Knowledge Engineering and Management, v 278, Springer-verlag, ISBN: 978-3-642-54929-8, 2014</P> <P> 15. Wen Zhenkun, <b>Tianrui Li</b>, Advances in Intelligent Systems and Computing, Practical Applications of Intelligent Systems, v 279, Springer-verlag, ISBN: 978-3-642-54926-7, 2014</P> <P> 14. Fuchun Sun, <b>Tianrui Li</b>, Hongbo Li (Eds), Knowledge Engineering and Management, Springer-verlag, ISBN 978-3-642-37832-4, 2014.01</P> <P> 13. Fuchun Sun, <b>Tianrui Li</b>, Li Hongbo (Eds), Foundations and Applications of Intelligent Systems, Springer-verlag, ISBN 978-3-642-37829-4, 2014.01</P> <P> 12. Dun Liu, <b>Tianrui Li</b>, Duoqian Miao, Guoyin Wang, Jiye Liang, Three-way Decision and Granular Computing, Science Press (In Chinese), ISBN 978-7-030-38193-4, 2013.07</P> <P> 11. <b>Tianrui Li</b>, Nguyen Hung Son, Guoyin Wang, Grzyma-Busse Jerzy, Janicki Ryszard, Hassanien Aboul Ella, Yu Hong, Rough Sets and Knowledge Technology, Springer, ISBN 978-3-642-31899-3, 2012.08</P> <P> 10. Xiuyi Jia, Lin Shang, Xianzhong Zhou, Jiye Liang, Duoqian Miao, Guoyin Wang, <b>Tianrui Li</b>, Yanping Zhang, Three-way Decision: Theory and Applications, Nanjing University Press (In Chinese), ISBN 978-7-305-10578-4, 2012.10</P> <P> 9. Huaxiong Li, Xianzhong Zhou, <b>Tianrui Li</b>, Guoyin Wang, Duoqian Miao, Yiyu Yao, Decision-Theoretic Rough Set Theory and Its Advance, Science Press (In Chinese), ISBN 978-7-03-032530-9, 2011.11</P> <P> 8. Guoyin Wang, <b>Tianrui Li</b>, Jerzy Grzymala-Busse, Duoqian Miao, Andrzej Skowron, Yao Yiyu (Eds), Proceedings of the 2008 International Conference on Rough Sets and Knowledge Technology, Lecture Notes in Artificial Intelligence, 5009, Springer-verlag, 2008. (EI, ISTP)</P> <P> 7. Da Ruan, <b>Tianrui Li</b>, Yang Xu, Guoqing Chen, Etienne E Kerre (Eds), Computational Intelligence: Foundations and Applications, Proceedings of the 9th International FLINS Conference, World Scientific, Singapore, 2010. (ISTP)</P> <P> 6. Shouzi Li, <b>Tianrui Li</b>, Da Ruan (Eds), Proceedings of the 2008 International Conference on Intelligent System and Knowledge Engineering, IEEE Press, 2008. (EI)</P> <P> 5. Xiaogang Jin, Yangguang Liu, <b>Tianrui Li</b>, Da Ruan (Eds), Proceedings of the 2010 International Conference on Intelligent System and Knowledge Engineering, IEEE press, 2010. (EI)</P> <P> 4. Koen Vanhoof, Da Ruan, <b>Tianrui Li</b>, Geert Wets (Eds), Intelligent Decision Making Systems, Proceedings of the 2009 International Conference on Intelligent System and Knowledge Engineering, World Scientific, Singapore, 2009. (ISTP)</P> <P> 3. Yinglin Wang, <b>Tianrui Li</b> (Eds), Foundations of Intelligent Systems, Springer-verlag, ISBN 978-3-642-25663-9, 2011.11</P> <P> 2. Yinglin Wang, <b>Tianrui Li</b> (Eds), Knowledge Engineering and Management, Springer-verlag, ISBN 978-3-642-25660-8, 2011.11</P> <P> 1. Yinglin Wang, <b>Tianrui Li</b> (Eds), Practical Applications of Intelligent Systems, Springer-verlag, ISBN 978-3-642-25657-8, 2011.11</P> <P><b><font color="#FF0000" size="3">Selected Papers</font></b></P> <b><font color="#0000FF" size="2"><SPAN id=t1>2018</SPAN></font></b></p> <P> 131. Jielei Chu, Hongjun Wang, Hua Meng, Peng Jin, <b>Tianrui Li</b>, Restricted Boltzmann Machines with Gaussian Visible Units Guided by Pairwise Constraints, accept, IEEE Transactions on Cybernetics, 2018(SCI, EI, -NV{:gf[OB{|g R)</P> <P> 130. Ping-Juei Liu, Shi-Jinn Horng, Jzau-Sheng Lin, <b>Tianrui Li</b>, Contrast in Haze Removal: Configurable Contrast Enhancement Model Based on Dark Channel Prior, IEEE Transactions on Image Processing, accept, 2018(SCI, EI, -NV{:gf[OA{|g R)</P> <P> 129. Yanyong Huang, <b>Tianrui Li</b>, Chuan Luo, Hamido Fujita, Shi-jinn Horng, Dynamic Fusion of Multi-source Interval-valued Data by Fuzzy Granulation, IEEE Transactions on Fuzzy Systems, accept, 2018(SCI, EI, -NV{:gf[OB{|g R)</P> <P> 128. Yunge Jing, <b>Tianrui Li</b>, Hamido Fujita, Baoli Wang, Ni Cheng, An incremental attribute reduction method for dynamic data mining. Information Sciences, 465: 202-218 (2018)(SCI, EI, -NV{:gf[OB{|g R)</P> <P> 127. Haiqing Zhang, Daiwei Li, Tao Wang, <b>Tianrui Li</b>, Xi Yu, Abdelaziz Bouras: Hesitant extension of fuzzy-rough set to address uncertainty in classification. Journal of Intelligent and Fuzzy Systems 34(4): 2535-2550 (2018)(SCI, EI)</P> <P> 126. Bo Peng, Macmillan Simfukwe, <b>Tianrui Li</b>, Region-based image segmentation evaluation via perceptual pooling strategies. Machine Vision and Applications, 29(3): 477-488 (2018)(SCI, EI)</P> <P> 125. Xiuwen Yi, Junbo Zhang, Zhaoyuan Wang, <b>Tianrui Li</b>, Yu Zheng, Deep Distributed Fusion Network for Air Quality Prediction, KDD2018, 965-973, 2018(-NV{:gf[OA{|O)</P> <P> 124. Junbo Zhang, Yu Zheng, Dekang Qi, Ruiyuan Li, Xiuwen Yi, <b>Tianrui Li</b>, Predicting Citywide Crowd Flows Using Deep Spatio-Temporal Residual Networks, Artificial Intelligence, 259: 147-166, 2018(SCI, EI, -NV{:gf[OA{|g R)</P> <P> 123. Ji Xu, Guoyin Wang, <b>Tianrui Li</b>, Pedrycz Witold, Local-Density-Based Optimal Granulation and Manifold Information Granule Description, IEEE Transactions on Cybernetics, accept, 2017(SCI, EI, -NV{:gf[OB{|g R)</p> <P> 122. Shudong Huang, Hongjun Wang, Tao Li, <b>Tianrui Li</b>, Zenglin Xu, Robust graph regularized nonnegative matrix factorization for clustering. Data Mining and Knowledge Discovery, 32(2): 483-503 (2018)(SCI, EI, -NV{:gf[OB{|g R)</P> <P> 121. Chuan Luo, <b>Tianrui Li</b>, Hongmei Chen, Hamido Fujita, Zhang Yi, Incremental rough set approach for hierarchical multicriteria classification. Information Sciences, 429: 72-87 (2018)(SCI, EI, -NV{:gf[OB{|g R)</P> <P> 120. Zeng Yu, <b>Tianrui Li</b>, Guangchun Luo, H. Fujita, Ning. Yu and Yi Pan, Convolutional networks with cross-layer neurons for image recognition, Information Sciences, 433 434: 241 254, 2018(SCI, EI, -NV{:gf[OB{|g R)</P> <b><font color="#0000FF" size="2"><SPAN id=t1>2017</SPAN></font></b></p> <P> 119. Wei Quan, <b>Tianrui Li</b>, Shibin Gao, Jim X. Chen, Visual tracking with multiple Hough detectors. Image and Vision Computing, 66: 15-25 (2017)(SCI, EI, -NV{:gf[OC{|g R)</P> <P> 118. Xin Yang, <b>Tianrui Li</b>, Dun Liu, Hongmei Chen, Chuan Luo, A unified framework of dynamic three-way probabilistic rough sets, Information Sciences,420: 126-147 (2017).(SCI, EI, -NV{:gf[OB{|g R)</P> <P> 117. Huanlai Xing, Zhaoyuan Wang, <b>Tianrui Li</b>, Hui Li, Rong Qu, An improved MOEA/D algorithm for multi-objective multicast routing with network coding. Applied Soft Computing, 59: 88-103 (2017)(SCI, EI)</P> <P> 116. Yunge Jing, <b>Tianrui Li</b>, Junfu Huang, Hongmei Chen, Shi-Jinn Horng, A Group Incremental Reduction Algorithm with Varying Data Values. International Journal of Intelligent Systems, 32(9): 900-925 (2017) (SCI, EI, -NV{:gf[OC{|{|g R)</P> <P> 115. Yunge Jing, <b>Tianrui Li</b>, Hamido Fujita, Zeng Yu, Bin Wang, An incremental attribute reduction approach based on knowledge granularity with a multi-granulation view. Inf. Sci. 411: 23-38 (2017)(SCI, EI, -NV{:gf[OB{|g R)</P> <P> 114. Chuan Luo, <b>Tianrui Li</b>, Yiyu Yao, Dynamic probabilistic rough sets with incomplete data. Inf. Sci. 417: 39-54 (2017)(SCI, EI, -NV{:gf[OB{|g R)</P> <P> 113. Jie Hu, <b>Tianrui Li</b>, Chuan Luo, Hamido Fujita, Yan Yang, Incremental fuzzy cluster ensemble learning based on rough set theory. Knowl.-Based Syst. 132: 144-155 (2017)(SCI, EI, -NV{:gf[OC{|g R)</P> <P> 112. Xin Yang, <b>Tianrui Li</b>, Hamido Fujita, Dun Liu, Yiyu Yao, A unified model of sequential three-way decisions and multilevel incremental processing. Knowl.-Based Syst. 134: 172-188 (2017)(SCI, EI, -NV{:gf[OC{|g R)</P> <P> 111. Shiang-Feng Tzeng, Shi-Jinn Horng, <b>Tianrui Li</b>, Xian Wang, Po-Hsian Huang, Muhammad Khurram Khan, Enhancing Security and Privacy for Identity-Based Batch Verification Scheme in VANETs. IEEE Trans. Vehicular Technology 66(4): 3235-3248 (2017)(SCI, EI)</P> <P> 110. Zeng Yu, <b>Tianrui Li</b>, Shi-Jinn Horng, Yi Pan, Hongjun Wang, Yunge Jing, An Iterative Locally Auto-Weighted Least Squares Method for Microarray Missing Value Estimation, IEEE Transaction on Nanobioscience, 16(1): 21-33, 2017(SCI, EI)</P> <P> 109. Fei Teng, Lei Yu, <b>Tianrui Li</b>, Danting Deng, Frdric Magouls, Energy efficiency of VM consolidation in IaaS clouds. The Journal of Supercomputing 73(2): 782-809, 2017(SCI, EI, -NV{:gf[OC{|g R)</P> <P> 108. Yanyong Huang, <b>Tianrui Li</b>, Chuan Luo, Hamido Fujita, Shi-jinn Horng, Dynamic variable precision rough set approach for probabilistic set-valued information systems, Knowledge-Based Systems, 122: 131-147, 2017, <a href="http://dx.doi.org/10.1016/j.knosys.2017.02.002">DOI: 10.1016/j.knosys.2017.02.002</a> (SCI, EI, -NV{:gf[OC{|g R)</P> <P> 107. Ji Xu, Guoyin Wang, <b>Tianrui Li</b>, Weihui Deng, Guanglei Gou, Fat node leading tree for data stream clustering with density peaks, Knowledge-Based Systems, 120: 99-117, 2017(SCI, EI, -NV{:gf[OC{|g R)</p> <P> 106. Yanyong Huang, <b>Tianrui Li</b>, Chuan Luo, Hamido Fujita, Shi-jinn Horng, Matrix-based dynamic updating rough fuzzy approximations for data mining, Knowledge-Based Systems, 119: 273-283, 2017, <a href="http://dx.doi.org/10.1016/j.knosys.2016.12.015">DOI: 10.1016/j.knosys.2016.12.015</a> (SCI, EI, -NV{:gf[OC{|g R)</P> <P> 105. Yu-Chien Ko, Hamido Fujita, <b>Tianrui Li</b>, An evidential analysis of Altman Z-score for financial predictions: Case study on solar energy companies, Applied Soft Computing, 52: 748-759, 2017(SCI, EI)</P> <P> 104. Anping Zeng, <b>Tianrui Li</b>, Jie Hu, Hongmei Chen, Chuan Luo, Dynamical updating fuzzy rough approximations for hybrid data under the variation of attribute values, Information Sciences, 378: 363-388, 2017 <a href="http://dx.doi.org/10.1016/j.ins.2016.07.056">DOI: 10.1016/j.ins.2016.07.056</a> (SCI, EI, -NV{:gf[OB{|g R) <font color="#0000FF">eQ ESIؚ_e</font>) </P> <P> 103. Jie Hu, <b>Tianrui Li</b>, Chuan Luo, Hamido Fujita, Shaoyong Li, Incremental fuzzy probabilistic rough sets over two universes, International Journal of Approximate Reasoning, 81: 28-48, 2017 <a href="http://dx.doi.org/10.1016/j.ijar.2016.11.002">DOI/10.1016/j.ijar.2016.11.002</a> (SCI, EI, -NV{:gf[OC{|g R <font color="#0000FF">eQ ESIؚ_e</font>)</P> <b><font color="#0000FF" size="2"><SPAN id=t1>2016</SPAN></font></b></p> <P> 102. <b>Tianrui Li</b>, Ruan Da, Shen Yongjun, Elke Hermans, Geert Wets, A new weighting approach based on rough set theory and granular computing for road safety indicator analysis, Computational Intelligence, 32(4): 517-534, 2016, <a href="http://dx.doi.org/10.1111/coin.12061">DOI:10.1111/coin.12061</a> (SCI, EI, -NV{:gf[OC{|g R) </P> <P> 101. Hao Wang, Yan Yang, <b>Tianrui Li</b>, Multi-view Clustering via Concept Factorization with Local Manifold Regularization. ICDM 2016: 1245-1250(-NV{:gf[OB{|O)</P> <P> 100. Hongmei Chen, <b>Tianrui Li</b>, Yong Cai, Chuan Luo, Hamido Fujita, Parallel attribute reduction in dominance-based neighborhood rough set, Information Sciences, 373: 351-368, 2016 (SCI, EI, -NV{:gf[OB{|g R) </P> <P> 99. Yingying Zhang, <b>Tianrui Li</b>, Chuan Luo, Junbo Zhang, Hongmei Chen, Incremental Updating of Rough Approximations in Interval-valued Information Systems under Attribute Generalization, Information Sciences. 373: 461-475, 2016 (SCI, EI, -NV{:gf[OB{|g R) </P> <P> 98. Shu Wang, <b>Tianrui Li</b>, Chuan Luo, Hamido Fujita, Efficient updating rough approximations with multi-dimensional variation of ordered data, Information Sciences, 372: 690-708, 2016 (SCI, EI, -NV{:gf[OB{|g R) </P> <P> 97. Shenggong Ji, Yu Zheng, <b>Tianrui Li</b>, Urban Sensing Based on Human Mobility, UbiComp 2016 (-NV{:gf[OA{|O)</P> <P> 96. Xiuwen Yi, Yu Zheng, Junbo Zhang, <b>Tianrui Li</b>, ST-MVL: Filling Missing Values in Geo-Sensory Time Series Data. IJCAI 2016: 2704-2710(-NV{:gf[OA{|O)</P> <P> 95. Chuan Luo, <b>Tianrui Li</b>, Hongmei Chen, Hamido Fujita, Zhang Yi, Efficient updating of probabilistic approximations with incremental objects, Knowledge-Based Systems, 109: 71-83, 2016, <a href="http://dx.doi.org/10.1016/j.knosys.2016.06.025">DOI: 10.1016/j.knosys.2016.06.025</a>(SCI, EI, -NV{:gf[OC{|g R)</P> <P> 94. Yunge Jing, <b>Tianrui Li</b>, Junfu Huang, Yingying Zhang, An incremental attribute reduction approach based on knowledge granularity under the attribute generalization, International Journal of Approximate Reasoning, 76: 80-95, 2016(SCI, EI, -NV{:gf[OC{|g R)</P> <P> 93. Yunge Jing, <b>Tianrui Li</b>, Chuan Luo, Shi-Jinn Horng, Guoyin Wang, Zeng Yu, An incremental approach for attribute reduction based on knowledge granularity, Knowledge-based Systems, 104: 23-48, 2016 (SCI, EI, -NV{:gf[OC{|g R)</P> <P> 92. Jun Luo, Hongjun Wang, Xun Gong, <b>Tianrui Li</b>, A Novel Role-based Access Control Model in Cloud Environments, International Journal of Computational Intelligence Systems, 9(1): 1-9, 2016 (SCI, EI)</P> <P> 91. Chuan Luo, <b>Tianrui Li</b>, Zhang Yi, Hamido Fujita, <a href="http://dx.doi.org/10.1016/j.knosys.2016.01.042">Matrix approach to decision-theoretic rough sets for evolving data </a>, Knowledge-Based Systems, 99: 123-134, 2016 (SCI, EI, -NV{:gf[OB{|g R) </P> <P> 90. Shiang-Feng Tzeng, Shi-Jinn Horng, <b>Tianrui Li</b>, Xian Wang, Po-Hsian Huang, and Muhmmad Khurram Khan, Enhancing Security and Privacy for Identity-based Batch Verification Scheme in VANET, IEEE Transactions on Vehicular Technology, <a href="http://dx.doi.org/10.1109/TVT.2015.2406877">DOI:10.1109/TVT.2015.2406877</a>, 2015</P> <P> 89. Yan Yang, Fei Teng, <b>Tianrui Li</b>, Hao Wang, Hongjun Wang, Qi Zhang, Parallel Semi-supervised Multi-Ant Colonies Clustering Ensemble Based on MapReduce Methodology, IEEE Transactions on Cloud Computing, <a href="http://dx.doi.org/10.1109/TCC.2015.2511724">DOI: 10.1109/TCC.2015.2511724</a>, 2015</P> <P> 88. Shudong Huang, Hongjun Wang, Tao Li, Yan Yang, <b>Tianrui Li</b>, Constraint Co-Projections for Semi-Supervised Co-Clustering, IEEE Transactions on Cybernetics, 46(12): 3047-3058, 2016 <a href="http://dx.doi.org/10.1109/TCYB.2015.2496174">DOI: 10.1109/TCYB.2015.2496174 (SCI, EI, -NV{:gf[OB{|g R) </P> <P> 87. Zhaoyuan Wang, Huanlai Xing, <b>Tianrui Li</b>, Yan Yang, Rong Qu, Yi Pan, <a href="http://dx.doi.org/10.1109/TEVC.2015.2457437">A Modified Ant Colony Optimization Algorithm for Network Coding Resource Minimization</a>, IEEE Transactions on Evolutionary Computation, 20(3): 325-342, 2016 (SCI, EI, -NV{:gf[OB{|g R) </P> <P> 86. Junbo Zhang, Yun Zhu, Yi Pan, <b>Tianrui Li</b>, <a href="http://dx.doi.org/10.1016/j.ins.2015.09.022">Efficient Parallel Boolean Matrix Based Algorithms for Computing Composite Rough Set Approximations</a>, Information Sciences, 329: 287-302, 2016 (SCI, EI, -NV{:gf[OB{|g R) </P> <P> 85. Wenchao Xiao, Yan Yang, Hongjun Wang, <b>Tianrui Li</b>, Huanlai Xing, Semi-supervised hierarchical clustering ensemble and its application. Neurocomputing 173: 1362-1376, 2016 (SCI, EI, -NV{:gf[OC{|g R)</P> <P> 84. Jie Hu, <b>Tianrui Li</b>, Hongjun Wang, Hamido Fujita, Hierarchical cluster ensemble model based on knowledge granulation, Knowledge-based Systems, 91: 179-188, 2016, <a href="http://dx.doi.org/10.1016/j.knosys.2015.10.006">DOI:10.1016/j.knosys.2015.10.006</a> (SCI, EI, -NV{:gf[OC{|g R <font color="#0000FF">eQ ESIؚ_e</font>)</P> <b><font color="#0000FF" size="2"><SPAN id=t1>2015</SPAN></font></b></p> <P> 83. <b>Tianrui Li</b>, Jie Lu, Luis Martinez Lopez, Preface: Intelligent Techniques for Data Science, International Journal of Intelligent Systems, 30(8): 851-853, 2015 (SCI, EI, -NV{:gf[OC{|g R)</P> <P> 82. Yu Zheng, Xiuwen Yi, Ming Li, Ruiyuan Li, Zhangqing Shan, Eric Chang, <b>Tianrui Li</b>. Forecasting Fine-Grained Air Quality Based on Big Data. In the Proceeding of the 21th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2015) (EI, -NV{:gf[OA{|O)</P> <P> 81. Jue Wu, Lei Yang, <b>Tianrui Li</b>, Changjiang Zhang, Zhihui Li, Rule-based fuzzy classifier based on quantum ant optimization algorithm. Journal of Intelligent and Fuzzy Systems 29(6): 2365-2371, 2015</P> <P> 80. Jie Hu, <b>Tianrui Li</b>, Reversible steganography using extended image interpolation technique, Computers & Electrical Engineering, <a href="http://dx.doi.org/10.1016/j.compeleceng.2015.04.014">DOI:10.1016/j.compeleceng.2015.04.014</a>, 2015 (SCI, EI)</P> <P> 79. Shudong Huang, Hongjun Wang, Dingcheng Li, Yan Yang, <b>Tianrui Li</b>, Spectral co-clustering ensemble, Knowledge-based Systems, 84: 46-55, 2015 (SCI, EI, -NV{:gf[OC{|g R)</P> <P> 78. Shi-Jinn Horng, Shiang-Feng Tzeng, Po-Hsian Huang, Xian Wang,<b>Tianrui Li</b>, Muhammad Khurram Khan, An efficient certificateless aggregate signature with conditional privacy-preserving for vehicular sensor networks, Information Sciences, 317: 48-66, 2015 (SCI, EI, -NV{:gf[OB{|g R) </P> <P> 77. 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Haiquan Zhao, Xiangping Zeng, Jiashu Zhang, Yangguang Liu, Xiaomin Wang, <b>Tianrui Li</b>, Adaptive non-linear filter using a modular polynomial perceptron, IET Signal Processing, 4(6): 640-649, 2010. (SCI, -NV{:gf[OC{|g R)</P> <P> 7. Haiquan Zhao, Xiangping Zeng, Jiashu Zhang, <b>Tianrui Li</b>, Nonlinear Adaptive Equalizer Using a Pipelined Decision Feedback Recurrent Neural Network in Communication Systems, IEEE Transactions on Communications, 58(8): 2193-2198, 2010. (SCI, -NV{:gf[OB{|g R) </P> <P> 6. Hongmei Chen, <b>Tianrui Li</b>, Shaojie Qiao, Da Ruan, A rough set based dynamic maintenance approach for approximations in coarsening and refining attribute values, International Journal of Intelligent Systems, 25(10): 1005-1026, 2010. (SCI, EI, -NV{:gf[OC{|g R)</P> <P> 5. Shaojie Qiao, <b>Tianrui Li</b>, Jing Peng, Jiangtao Qiu. Parallel Sequential Pattern Mining of Massive Trajectory Data, International Journal of Computational Intelligence Systems, 3(3): 343-356, 2010. (SCI)</P> <P> 4. Jing Song, <b>Tianrui Li</b>, Da Ruan, An Integration of Cloud Transform and Rough Set Theory to Induction of Decision Trees, Fundamenta Informaticae, 94(2): 261-273, 2009. (SCI, -NV{:gf[OC{|g R)</P> <P> 3. Yongjun Shen, <b>Tianrui Li</b>, Hermans Elke, Da Ruan, Wets Geert, Koen Vanhoof, Tom Brijs, A hybrid system of neural networks and rough sets for road safety performance indicators, Soft Computing, 14(12): 1255-1263, 2010. (SCI, EI, -NV{:gf[OC{|g R) </P> <P> 2. Lin Feng, <b>Tianrui Li</b>, Da Ruan, Shirong Gou, A vague-rough set approach for uncertain knowledge acquisition, Knowledge-Based Systems, 24(6): 837-843, 2011. (SCI, EI, -NV{:gf[OC{|g R) </P> <P> 1. Hongjun Wang, Ruihua Nie, Xingnian Liu, <b>Tianrui Li</b>, Constraint projections for semi-supervised affinity propagation, Knowledge-Based Systems, 36: 315-321, 2012. (SCI, EI, -NV{:gf[OC{|g R) </P> <P></P> <P></P> <b><font color="#0000FF" size="3"><SPAN id=t1><a href="TWD-TrLi.htm">Tianrui LI's Publication in Three-way Decisions and Decision-theoretic Rough Set Model</a></SPAN></font></b> <P></P> <P></P> <P><b><font color="#FF0000" size="3">Selected Papers in Chinese Journals</font></b></P> <P>14. TN\pg,`i,Ng)Y^t,qq,CQ f[,Ğ_lm,sSf~.NyWNzzxb/gvhyr_cSel[J].-NVyf[:Oo`yf[,2017,47(11):1523-1537.</P> <P>13. TN\pg,`i,Ng)Y^t,NgcNS,NgeR,sSf~,Louis Alberto GUTIERREZ.WNMRbq_b/gv'Yĉ!jhKm!jW[J].oNf[b,2017,28(11):3043-3057.</P> <P>12. w?,s~Q,hgq,Ng)Y^t. WN[^\ <P>11. TN\pg,`i,ёon,ؚNT,Ng)Y^t,U8^pg,^eP.WNMulti-agentvR^_e,gZ{|!jW[J/OL].{:gf[b,2017:1-13</P> <P>10. R܀EN,Ng)Y^t,*mۏ,s~Q,spg, WNw5Џ{v YBgQ~g^elxvz,-NVyf[Oo`yf[,46(5): 610-626, 2016.</P> <P>9. _l,Ng)Y^t,Xok,W],nޘ. Ns^S NWN||Ɩvv^LXϑwƋfe{l[J]. oNf[b,2015,05:1064-1078. </P> <P>8. TN\pg,Ng)Y^t,`i,ؚNT,CQ f[,sSf~,U8^pg. 'YpencsX NyR[a^hKm!jW[J]. oNf[b,2015,11:2869-2883. </P> <P>7. R,Ng)Y^t,eɄ,k . WNR^_NTTOSve~ OahVQ~pencGlZ:g6R[J]. Of[b,2015,07:18-30.</P> <P>6. spg,Ng)Y^t,R܀EN. TSRMυebQhg{l[J]. -NeOo`f[b,2014,03:92-98. </P> <P>5. spg,Ng)Y^t. υe\P(u͋ SNꁨRYtelxvz[J]. -NeOo`f[b,2015,02:125-132. </P> <P>4. R܀EN,Ng)Y^t,spg. Zipf[_NQ~Oo`ϑf[[J]. -NeOo`f[b,2015,04:89-94. </P> <P>3. sx,Ng)Y^t,Rn,ΞOe. [aƖSSeя <P>2. R,sV,Ng)Y^t,Ngff,YQ,Qg. WNmTϑ;mRn^!jWvN8RrRel[J]. oNf[b,2013,03:623-638. </P> <P>1. Qg,sV,Ng)Y^t. ޏ~ <P><b><font color="#FF0000" size="3">Selected Papers in arXiv</font></b></P> <P> 7. Shengdong Du, <b>Tianrui Li</b>, Xun Gong, Zeng Yu, Shi-Jinn Horng, A Hybrid Method for Traffic Flow Forecasting Using Multimodal Deep Learning. <a href="https://arxiv.org/abs/1803.02099">https://arxiv.org/abs/1803.02099</a> (2018)</P> <P> 6. Huaishao Luo, <b>Tianrui Li</b>, Bing Liu, Bin Wang, Herwig Unger, Improving Aspect Term Extraction with Bidirectional Dependency Tree Representation. <a href="https://arxiv.org/abs/1805.07889">https://arxiv.org/abs/1805.07889</a> (2018)</P> <P> 5. Zeng Yu, <b>Tianrui Li</b>, Ning Yu, Xun Gong, Ke Chen, Yi Pan, Three-Stream Convolutional Networks for Video-based Person Re-Identification. <a href="https://arxiv.org/abs/1712.01652">https://arxiv.org/abs/1712.01652</a> (2017)</P> <P> 4. Zeng Yu, <b>Tianrui Li</b>, Ning Yu, Yi Pan, Hongmei Chen, Bing Liu, Reconstruction of Hidden Representation for Robust Feature Extraction. <a href="https://arxiv.org/abs/1710.02844">https://arxiv.org/abs/1710.02844</a> (2017)</P> <P> 3. Jielei Chu, Hongjun Wang, Hua Meng, Peng Jin, <b>Tianrui Li</b>, Restricted Boltzmann Machines with Gaussian Visible Units Guided by Pairwise Constraints, <a href="https://arxiv.org/abs/1701.03647">https://arxiv.org/abs/1701.03647</a>(2017)</P> <P> 2. Junbo Zhang, Yu Zheng, Dekang Qi, Ruiyuan Li, Xiuwen Yi, <b>Tianrui Li</b>, Predicting Citywide Crowd Flows Using Deep Spatio-Temporal Residual Networks, <a href="https://arxiv.org/abs/1701.02543">https://arxiv.org/abs/1701.02543</a>(2017)</P> <P> 1. Junbo Zhang, Tianrui Li, Yi Pan, Parallel Large-Scale Attribute Reduction on Cloud Systems. <a href="https://arxiv.org/abs/1610.01807">https://arxiv.org/abs/1610.01807</a>(2016)</P> </p></font> </DIV><!--ckendn0--></DIV></div></div> <!--^--> <div id="bottom"> Last updated on June 21, 2015. Copyright &copy; 2015 Tianrui LI <br /> </div> </div> </body> </html>