1) DING Zhi-Jun, JIANG Chang-Jun, ZHOU Meng-Chu, Design, Analysis and Verification of Real-time Systems based on Time Petri Net Refinement. ACM Transactions on Embedded Computing Systems. vol. 12. No. 1, 2013
2) LIU Guan-Jun, JIANG Chang-Jun, ZHOU Meng-Chu, XIONG Peng-Cheng, Interactive Petri nets, IEEE Transactions on Systems, Man, and Cybernetics: Systems. vol. 43. No. 2, pp. 291-302, 2013.3 2013. (SCI, EI)
3) WANG Cheng, JIANG Chang-Jun, TANG Shao-Jie, LI Xiang-Yang, Scaling Laws of Cognitive Ad Hoc Networks over General Primary Network Models, IEEE Transactions on Parallel and Distributed Systems, Vol. 24, No. 5, pp:1030-1041, 2013
4) WANG Peng-Wei, DING Zhi-Jun, JIANG Chang-Jun, ZHOU Meng-Chu, Design and Implementation of a Web-Service-Based Public-Oriented Personalized Health Care Platform, IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 43, No. 4, pp:941-957, 2013
5) WU Yan, YAN Chun-Gang, DING Zhi-Jun, WANG Peng-Wei, JIANG Chang-Jun, ZHOU Meng-Chu, A Novel Method for Calculating Service Reputation, IEEE Transactionson Automation Scienceand Engineering. vol. 10. No. 3, pp. 634-642, 2013.7 2013. (SCI, EI)
6) HUANG De-Shuang, YU Hong-Jie, Normalized feature vectors: A novel alignment-free sequence comparison method based on the numbers of adjacent amino acids, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol.10, no.2, pp.457-467, 2013
7) WeiWang,Hao Wang,Bo Yang,Liang Liu, Peini Liu,Guosun Zeng. A bayesian network-based knowledge engineering framework for IT service management. IEEE Transactions on Services Computing, 2013, 6(1): 76-88
8) WANG Xiao, LI Guo-Zheng, Multilabel Learning via Random Label Selection for Protein Subcellular Multilocations Prediction, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 10,. No. 2. pp: 436-446, 2013
9) Deng Wang, Duoqian Miao, Gunnar Blohm. A New Method for EEG-based Concealed Information Test. IEEE Transactions on Information Forensics & Security, 2013, 8(3): 520-527.
10)LIU Cheng-Ju, WANG Dan-Wei, CHEN Qi-Jun, Central Pattern Generator Inspired Control for Adaptive Walking of Biped Robots, IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 43, No. 5, pp:1206-1215, 2013
11)Hao Cui, Chong Luo, Jun Wu,et al,Compressed Coded Modulation for Seamless Rate Adapatation,IEEE Trans. on Wireless Comm., Accepted,2013
12)Xiaomin Ma, Xiaoyan Yin, Jun Wu, et al,Performance of Vanet safety message broadcast at intersections and analysis of IEEE802.11p in worst case, IEEE Trans. on Vehicular Technology, Submitted,2013
13)ZHAO Tie-Song, Sam Kwong, WANG Han-Li, WANG Zhou, PAN Zhao-Qing, C. - C. Jay Kuo, Multiview Coding Mode Decision with Hybrid Optimal Stopping Model, IEEE Transactions on Image Processing. vol. 22. No. 4, pp. 1598-1609, 2013.4 2013. (SCI, EI)
14)SHU Shao-Long, LIN Feng, Enforcing Detectability in Controlled Discrete Event Systems, IEEE Transactions on Automatic Control, Vol.58. No.8, pp:2125-2130, 2013
15)SHU Shao-Long, HUANG Zhi-Qiang, LIN Feng, Online Sensor Activation for Detectability of Discrete Event Systems, IEEE Transactions on Automation Science and Engineering, Vol.10, No.2, pp:457-461, 2013
16)SHU Shao-Long, LIN Feng, I-Detectability of Discrete-Event Systems, IEEE Transactions on Automation Science and Engineering, Vol.10, No. 1, pp:187-196
17)QIAO Fei, WU Qi-Di, Layered Drum-Buffer-Rope-Based Scheduling of Reentrant Manufacturing Systems, IEEE Transactions on Semiconductor Manufacturing, Vol. 26, No. 2, pp:178-187, 2013
18)QIAO Fei, MA Yu-Min, LI Li, YU Hong-Xia, A Petri Net and Extended Genetic Algorithm Combined Scheduling Method for Wafer Fabrication, IEEE Transactions on Automation Science and Engineering, Vol. 10, No. 1, pp:197-204, 2013
19)KANG Qi, ZHOU Meng-Chu, AN Jing, WU Qi-Di, Swarm Intelligence Approaches to Optimal Power Flow Problem With Distributed Generator Failures in Power Networks, IEEE Transactions on Automation Science and Engineering, Vol. 10, No. 2, pp:343-353, 2013
20)LI Li, SUN Zi-Jin, ZHOU Meng-Chu, QIAO Fei, Adaptive Dispatching Rule for Semiconductor Wafer Fabrication Facility, IEEE Transactions on Automation Science and Engineering, Vol. 10, No. 2, pp:354-364, 2013
21)WANG Cheng, JIANG Chang-Jun, LIU Yun-Hao, TANG Shao-Jie, LI Xiang-Yang, Aggregation Capacity of Wireless Sensor Networks: Extended Network Case, IEEE Transactions on Computers vol. 63. No. 6, pp. 1351-1364, 2014
22)YU Wang-Yang, YAN Chun-Gang, DING Zhi-Jun, JIANG Chang-Jun, ZHOU Meng-Chu, Modeling and Validating E-commerce Business Process Based on Petri Nets, IEEE Transactions on Systems Man and Cybernetics, Part A: Systems. vol. 44. No. 3, pp. 327-341, 2014
23)XU Bin, GUAN Ji-Hong, From Function to Interaction: A New Paradigm for Accurately Predicting Protein Complexes Based on Protein-to-Protein Interaction Networks, IEEE/ACM Transactions on Computational Biology and Bioinformatics. Vol. 11, No. 4, pp: 616-627, 2014
24)GAN Yang-Lan, GUAN Ji-Hong, ZHOU Shui-Geng, ZHANG Wei-Xiong, Identifying Cis-Regulatory Elements and Modules Using Conditional Random Fields, IEEE/ACM Transactions on Computational Biology and Bioinformatics. Vol. 11, No. 1, pp: 73-82, 2014
25)GAN Yang-Lan, ZOU Guo-Bing, GUAN Ji-Hong, XU Guang-Wei, A Novel Wavelet-Based Approach for Predicting Nucleosome Positions Using DNAS tructural Information, IEEE/ACM Transactions on Computational Biology and Bioinformatics. Vol. 11, No. 4, pp: 638-647, 2014
26)ZHANG Hao, FENG Gang, YAN Huai-Cheng, CHEN Qi-Jun, Observer-based output feedback event-triggered control for consensus of multi-agent systems, IEEE Transactions on Industrial Electronics. Vol. 61, No. 9, pp: 4885-4894, 2014
27)LIN Wei-Yao, CHEN Yuan-Zhe, WU Jian-Xin, WANG Han-Li, SHENG Bin, LI Hong-Xiang, A New Network-based Algorithm for Human Activity Recognition in Videos, IEEE Transactions on Circuits and Sytem for Video Technology. Vol. 24, No. 5, pp: 826-841, 2014
28)LIU Guan-Jun, JIANG Chang-Jun, ZHOU Meng-Chu, Atsuhi Ohta, The Liveness of WS3PR: Complexity and Decision, IEICE transactions on fundamentals of electronics, communications and computer science. vol. E96-A. No. 8, pp. 1783-1793, 2013.8 2013.
29)WANG Ping, SU Lin, HUANG Min, LIU Fu-Qiang, ZU Li-Jun,Joint Optimization for Proportional Fairness in MIMO-OFDMA Relay-Enhanced Cellular Networks, IEICE TRANSACTIONS on Communications Vol.E96-B No.2 pp.500-503,2013
30)CHENG Jiu-Jun, GAO Shang-Ce, VAIRAPPAN Catherine, WANG Rong-Long, Antti Yla-Jaaski, A buffer overflow based algorithm to conceal software watermarking trigger behavior, IEICE Transactions on Information and Systems. vol. E97-D. No. 3, pp. 524-532, 2014
31)SHU Shao-Long, LIN Feng, Fault-Tolerant Control for Safety of Discrete Event Systems, IEEE Transactions on Autmation Science and Engineering. Vol. 11, No. 1, pp: 78-89, 2014
32)YU Hong-Jie, HUANG De-Shuang, Graphical representation for DNA sequences via joint diagonalization of matrix pencil, IEEE Journal of Biomedical and Health Informatics, vol.17, no.3, pp.503-511, 2013
33)YU Wang-Yang, YAN Chun-Gang, DING Zhi-Jun, ZHOU Meng-Chu, Modeling and Monitoring of Online Shopping Business Processes Based on System Behavior Patterns, Journal of Computational Information Systems. vol. 9. No. 12, pp. 4691-4698, 2013.6 2013.
34)Haiying Ma, Guosun Zeng, Zhanjun Wang, Jinchao Xu. Fully secure multi-authority attribute-based traitor tracing. Journal of Computational Information Systems, 2013, 9(7): 2793-2800.
35)Caruana Godwin, LI Mao-Zhen, LIU Yang, An ontology enhanced parallel SVM for scalable spam filter training, Neurocomputing, vol. 108, pp. 45-57, 2013
36)ZHU Lin, HUANG De-Shuang, Efficient optimally regularized discriminant analysis, Neurocomputing, vol.117, pp.12-21, 2013
37)MI Jian-Xun, HUANG De-Shuang, WANG Bing, ZHU Xing-Jie, The nearest-farthest subspace classification for face recognition, Neurocomputing, vol.113, pp.241-250, 2013
38)LU Can-Yi, HUANG De-Shuang, Optimized projections for sparse representation based classification, Neurocomputing, vol.113, pp.213-219, 2013
39)YU Wang-Yang, YAN Chun-Gang, DING Zhi-Jun, FANG Xian-Wen, Extended and improved slicing technologies for Petri nets, High Technology Letters. vol. 19. No. 1, pp. 98-104, 2013.3 2013.
40)ZHU Lin, YOU Zhu-Hong, HUANG De-Shuang, WANG Bing, t-LSE:A Novel Robust Geometric Approach for Modeling Protein-Protein Interaction Networks，PLOS ONE, 8(4): e58368. doi:10.1371/journal.pone.0058368
41)LIU Yang, LI Mao-Zhen, Alham Nasullah Khalid, Hammoud Suhel, HSim: A MapReduce Simulator in Enabling Cloud Computing, Future Generation Computer Systems (FGCS), vol. 29, no.1, pp. 300-308, January 2013
42)Caihui Liu, Duoqian Miao. On Covering Multi-granulation Fuzzy Rough Sets. Information Technology Journal, 2013,12(3): 506-509
43)Yiming Tan, Guosun Zeng, Lihua Yu. Energy analysis for an executable program on a single computer based on BP neural network. Journal of Experimental & Theoretical Artificial Intelligence, 2013, 25(1): 105-117
44)Rui-Zhi Wang, Duo-Qian Miao, Fei-Fei Xu and Hong-Yun Zhang. Information interpretation of knowledge granularity. Journal of Intelligent and Fuzzy Systems.2013,24:395–404.
45)XU Long, Sam Kwong, WANG Han-Li, ZHAO De-Bin, GAO Wen, Rate Control for Consistent Visual Quality of H.264/AVC Encoding, Signal Processing: Image Communication. vol. 28. No. 1, pp. 20-33, 2013.1 2013. (SCI, EI)
46)Jun Wu,Zi Teng, et al, Arithmetic-BICM for Seamless Rate Adaptation , Journal of Selected Areas in Comm., Submitted, 2013
47)LI Yan-Chao，LIU Fu-Qiang，WANG Ping，XING Wei-Jun，JIA Li-Xuan,Building a Test System Without Clock Synchronization to Measure UE-to-UE One-Way Delay of VoIP Packets in the WCDMA Network,Applied Mechanics and Materials，v 263-266, n PART 1, p 3203-3209, 2013
48)Can Gao, Witold Pedrycz, Duoqian Miao. Rough subspace-based clustering ensemble for categorical data. Soft Computing, 2013, 17:1-16
49)Bing Wang, Jun Zhang, Peng Chen, Zhiwei Ji, Shuping Deng, and Chi Li. Prediction of Peptide Drift Time in Ion Mobility Mass Spectrometry from Sequence-Based Features , BMC Bioinformatics, 2013, Vol. 14(S8):S9
50)Bing Wang, A Two-stage Peak Alignment Algorithm for Two-Dimensional Gas Chromatography Time-of-Flight Mass Spectrometry-Based Metabolomics , Computational and Structural Biotechnology Journal, 2013, Vol. 7
51)Hongyun Zhang, Witold Pedrycz, Duoqian Miao, Caiming Zhong. A global structure-based algorithm for detecting the principal graph from complex data. Pattern Recognition, 2013, 46(6): 1638–1647.
52)Cairong Zhao, Zhihui Lai, Duoqian Miao, Zhihua Wei, Caihui Liu. Graph embedding discriminant analysis for face recognition. Neural Computing and Applications. 2013, 4
53)Cairong Zhao, Duoqian Miao, Zhihui Lai, Can Gao, Chuancai Liu, Jingyu Yang. Two-dimensional color uncorrelated discriminant analysis for face recognition. Neurocomputing. 2013, 113:251–261.
54)Zhu-Hong You, Ying-Ke Lei, Lin Zhu, Junfeng Xia, Bing Wang. Prediction of Protein-Protein Interactions from Amino Acid Sequences with Ensemble Extreme Learning Machines And Principal Component Analysis . BMC Bioinformatics, 2013, Vol. 14(S8):S10.
55)Lin Zhu, Zhu-Hong You, Bing Wang, De-Shuang Huang, t-LSE:A Novel Robust Geometric Approach for Modeling Protein-Protein Interaction Networks , Plos One, 2013，8(4): e58368
56)Jian-Xun Mi, De-shuang Huang, Bing Wang, Xingjie Zhu. The Nearest-Farthest Subspace Classification for Face Recognition . Neurocomputing, 2013, 113(3):241-250.
57)ZHANG Xiu-Jun, LIU Ke-Qin, LIU Zhi-Ping, Béatrice Duval, Jean-Michel Richer, ZHAO Ming-Xing, et. al. NARROMI: a noise and redundancy reduction technique improves accuracy of gene regulatory network inference, Bioinformatics, 2013, 29(1):106-113.
58)CHEN Wei-Hua, ZHAO Ming-Xing, Vera van Noort, Peer Bork, Human Monogenic Disease Genes Have Frequently Functionally Redundant Paralogs, PLoS Computational Biology. 2013, 9(5): e1003073
59)YU Hong-Jie, HUANG De-Shuang, Descriptors for DNA sequences based on joint diagonalization of their feature matrices from dinucleotide physicochemical properties, Tsinghua Science and Technology, vol.18, no.6, December 2013
60)SUN Cheng-Lei, SHI Zheng-Zheng, ZHOU Xiao-Bo, CHEN Luo-Nan, ZHAO Xing-Ming. Prediction of S-Glutathionylation Sites Based onProtein Sequences. PLoS ONE 2013, 8(2): e55512.
61) Chen X. R., Alan Wan and Zhou, Y. (2014). Efficient Quantile Regression Analysis with Missing Observations. To appear in Journal of the American Statistical Association.
62) Lin, C. J., Zhang, L. and Zhou, Y. (2014). Conditional Quantile Residual Lifetime Models for Right Censored Data. To appear in Lifetime Data Anaylsis.
63) Lin, C. J. and Zhou, Y. (2012). Analyzing Right-Censored and Length-Biased Data with Varying-Coefficient Transformation Model. Journal of Multivariate Analysis. Aaccepted
64) Lin, C. J. and Zhou, Y. (2013). Inference for the Treatment Effects in Two Sample Problems with Right-Censored and Length-Biased Data. To Appear in Statistics and Probability Letters.
65) Yang, G. and Zhou, Y. (2014). Semiparametric varying-coefficient models of mean residual life function. To appear in Journal of Multivariate Analysis.
66) Yang, G. Huang, J. and Zhou, Y. (2014). Variable selection and estimation of varying-coefficient models in high-dimensional data. To appear in Science in China A.
67) Wang, Y. X., Liu, P. and Zhou, Y. (2014). Quantile residual lifetime for left-truncated and right-censored data. To appear in Science in China A.
68) Xie, S.Y., Wan, T. K. Alan and Zhou, Y. (2012), A Varying-coefficient Expectile Model for Estimating Value at Risk. (JBES-2012-0342) To appear in Journal of Business & Economic Statistics.
69) Bai, F. F., Huang, J. and Zhou, Y.(2014). Semiparametric estimation of treatment effects in the two sample problem with censored data. Statistica Sinica, 24,121-146
70) Liu, Y. T. Sun, L. Q. and Zhou, Y. (2014). Additive Transformation Models for Recurrent Events. Communication. Statistics: Theory and Methods, In press
71) Qiu, Z. P. and Zhou, Y.. (2014). Weighted estimator for the linear transformation models with multivariate failure time data. Communicaiton in Statistics,Theory and Methods. Accepted.
72) Liu, X., Jiang, H. and Zhou, Y. (2014). Local empirical likelihood inference for varying-coefficient density-ratio models based on case-control data, To appear in Journal of the American Statistical Association.
73) Ma, Y. B.,Wan, T. K.A., Chen, X. R. And Zhou, Y. (2014). On estimation and inference in a partially linear hazard model with varying coefficients. To appear in Annlas of the Institute of Statistical Mathematics.
74) Ma, Y. You, J. and Zhou, Y. (2013). Generalized Profile LSE in Varying–Coefficient Partially Linear Models with Measurement Errors. Acta Mathematicae Applicatae Sinica. 29(3), 477–490.
75) You, J. Zhou, Y. and Chen, G. (2013). Statistical inference of multivariate partially linear regression models. The Canada Journal of Statistics, 40(3),1-22.
76) Zhang, F. P. Chen, X. R. and Zhou, Y. (2013). Proportional hazards model with varying coefficients for length-biased data. Lifetime Data Analysis, DOI 10.1007/s10985-013-9257-5.
77) Zhao, M. Jiang, H. M. and Zhou, Y. (2103). L1-deficiency of the sample quantile estimator with respect to a kernel quantile estimator. Statistics and Probability Letters, 83, 2399-2406.
78) Ai, C. R. You, J. H. and Zhou, Y. (2013). Estimation of fixed effects panel data partially linear additive regression models. Econometric Journal. DOI: 10.1111/ectj.12011.
79) Yuan, Y., You, J. H. and Zhou, Y. (2013). Efficient estimation of seemingly unrelated additive nonparametric regression models. Journal of System Science and Complex,26(4):,595-608.[SCI]
80) Bai, F. F. and Zhou, Y. (2013). Kernel estimator of ROC curve under censored data. Acta Mathematicae Apllicatae Sinica (English Seies). 29(1)43-54 .
81) Zhang, F. P. and Zhou, Y. (2013). Analyzing left-truncated and right-censored data under proportional hazards models with long-term survivors. Acta Mathematicae Apllicatae Sinica,29(2), 241–252.
82) Zhao XM, Tian W, Jiang R, Wan J. Computational Systems Biology. The Scientific WorldJournal 2013: 350358.
83) Zhao XM. Network Biology: Towards Systematic Understanding of Biological Systems.Current Bioinformatics 2013, 8(1): 35-36.
84) Zhang XD, Zhao XM. Computational approaches for identifying signaling pathways frommolecular interaction networks. Current Bioinformatics 2013, 8(1): 56-62.
85) Liu X, Liu R, Zhao XM, Chen L. Detecting early-warning signals of type 1 diabetes and itsleading biomolecular networks by dynamical network biomarkers. BMC Medical Genomics2013, 6 (2):1-10.
86) Bing Wang, Wenlong Sun, Jun Zhang, and Peng Chen. Current Status of Machine Learning-Based Methods for Identifying Protein-Protein Interaction Sites Current Bioinformatics, 2013, 8(2):177-182.
87) TAN Yi-Ming, ZENG Guo-Sun, YU Li-Hua, Energy analysis for an executable program on a single computer based on BP neural network, Journal of Experimental and Theoretical Artificial Intelligence. vol. 25. No. 1, pp. 105-117, 2013.3 2013.
88) WANG Peng-Wei, DING Zhi-Jun, JIANG Chang-Jun, ZHOU Meng-Chu, Automated Web Service Composition Supporting Conditional Branch Structures, Enterprise Information Systems. vol. 8. No. 1, pp. 121-146, 2014
89) CHENG Jiu-Jun, HOU Jing-Yu, YAN Chen-Dan, CHENG Jun-Lu, ZHANG Qing-Yang, Chinese Location Word Recognition Using Service Context Information for Location-Based Service, Mathematical Problems in Engineering. vol. 2014.
90) CHENG Jiu-Jun, HU Liu-Fei, LIU Jun-Jun, ZHANG Qing-Yang, YAN Chen-Dan, A New Mechanism for Network Monitoring and Shielding in Wireless LAN, Mathematical Problems in Engineering. vol. 2014
91) CHENG Jiu-Jun, CAI Yue-Qiao, ZHANG Qing-Yang, CHENG Jun-Lu, YAN Chen-Dan, A New Three-Dimensional Indoor Positioning Mechanism Based on Wireless LAN, Mathematical Problems in Engineering. vol. 2014
92) ZHANG Yang-Jie, YAN Chun-Gang, WANG Peng-Wei, SUN Hai-Chun, Construction Algorithms for Index Model Based on Web page Classification, Journal of Computational Information Systems. vol. 10. No. 2, pp. 655-664, 2014
93) JIANG Chang-Jun, SUN Hai-Chun, DING Zhi-Jun, WANG Peng-Wei, ZHOU Meng-Chu, An Indexing Network: Model and Applications, IEEE Transactions on Systems, Man, and Cybernetics: Systems. vol. 44. No. 12, pp. 1633-1648, 2014
94) JIANG Chang-Jun, DING Zhi-Jun, WANG Jun-Li, YAN Chun-gang, Big data resource service platform for the internet financial industry, Chinese Science Bulletin. vol. 59. No. 35, pp. 5051-5058, 2014
95) YU Wang-Yang, YAN Chun-Gang, DING Zhi-Jun, JIANG Chang-Jun, ZHOU Meng-Chu, Modeling and Verification of Online Shopping Business Processes by Considering Malicious Behavior Patterns, IEEE Transactions on Automation Science and Engineering. 2014
96) GE Da-Jie, DING Zhi-Jun, A Task Scheduling Strategy Based on Weighted Round-Robin for Distributed Crawler, 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing. pp. 848-852, 2014
97) YU Ding-Jun, WANG Han-Li, CHEN Pei-Qiu, WEI Zhi-Hua, Mixed Pooling for Convolutional Neural Networks, The 9th International Conference on Rough Sets and Knowledge Technology (RSKT'14). vol. LNAI 8818. pp. 364-375, 2014
98) WANG Han-Li, HENG Yue, DU Han, Optimal Stopping Theory based Algorithm for Coding Unit Size Decision in HEVC, 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC’14). 2014
99) ZHONG Jun-Zhu, YAN Chun-Gang, YU Wang-Yang, ZHAO Pei-Hai, WANG Mi-Mi, A Kind of Identity Authentication Method Based on Browsing Behaviors, IEEE Conference: 2014 Seventh International Symposium on Computational Intelligence and Design. pp. 279-284, 2014
