Journal Papers

            1) Murillo G. Carneiro and LIANG ZHAO, �Organizational Data Classification based on Importance Concept of Complex Networks�, IEEE Transactions on Neural Networks and Learning Systems, to appear, 2017.           

            2) Filipe A. N. Verri, Paulo R. Urio, and LIANG ZHAO, �Features of edge-centric collective dynamics in machinelearning tasks�, Journal of Applied Nonlinear Dynamics, to appear, 2017.

            3) Filipe A. N. Verri, Paulo R. Urio, and LIANG ZHAO, �Network Unfolding Map by Vertex-Edge Dynamics Modeling�, IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2016.2626341, 2017.

            4) J. R. Bertini Jr., M. C. Nicoletti, and LIANG ZHAO, �Attribute-based Decision Graphs: A Framework for Multiclass Data Classification�. Neural Networks, vol. 85, pp. 69-84, 2017.

            5) Paulo R. Urio, Filipe A. N. Verri, and LIANG ZHAO, �Semi-Supervised Classification by Particle Competition in Complex Network�s Edges�, International Journal of Pattern Recognition and Artificial Intelligence, DOI: 10.1142/S0218001416600065, 

                2016.

            6) J. R. Bertini Jr., M. C. Nicoletti, and LIANG ZHAO, �An embedded imputation method via attribute-based decision graphs�. Expert Systems with Applications, vol. 57, pp. 159-177, 2016.           

            7) A. X. Benicasa, M. G.  Quiles, T. C. Silva, LIANG ZHAO, and R. A. F. Romero, "An object-based visual selection framework". Neurocomputing, vol. 180, pp. 35-54, 2016

8) F. A. O. Silva and LIANG ZHAO, "A Network of Neural Oscillators for Fractal Pattern Recognition". Neural Processing Letters, DOI: 10.1007/s11063-015-9473-y, to apprear, 2015.

9) A. E. C. Salazar and LIANG ZHAO, "Musical rhythmic pattern extraction using relevance of communities in networks". Information Sciences, vol. 329, pp.819-848, Suplementary Materials, 2015.

10) B. M. Ara�jo and LIANG ZHAO, "Data Heterogeneity Consideration in Semi-Supervised Learning". Expert Systems with Applications, vol. 46, pp.1-14, 2015. 

11) L. N. Ferreira and LIANG ZHAO, "Time series clustering via community detection in networks". Information Sciences, v. 326, p. 227-242, 2015.

12) F. A. Breve, LIANG ZHAO, and M. G.  Quiles, �Particle Competition and Cooperation for Semi-Supervised Learning with Label Noise�, Neurocomputing, doi:10.1016/j.neucom.2014.08.082, v. 160, p. 63-72,, 2015.

13) T. C. Silva and LIANG ZHAO, �High-level pattern-based classification via tourist walks in networks�. Information Sciences, vol. 294, pp. 109-126, 2015.

14) M. G. Carneiro, LIANG ZHAO, A. A. Lopes, and J. L. G.  Rosa. �Network-based data classification: combining K-associated optimal graphs and high-level prediction�, Journal of The Brazilian Computer Society, vol. 20, pp. 1-14, 2014.

15) D. A. Vega-Oliveros, L. Berton, A. M. Eberle, A. A. Lopes, and LIANG ZHAO, �Regular graph construction for semi-supervised learning�, Journal of Physics, Conference Series, vol. 490, pp. 012022, 2014.

16) T. H. Cupertino, LIANG ZHAO, and M. G. Carneiro, �Network-based supervised data classification by using an heuristic of ease of access�, Neurocomputing, vol. 149, pp. 86-92, 2014.

17) Cupertino T. H., SILVA, T. C., and LIANG ZHAO, �Classification of multiple observation sets via network modularity�. Neural Computing & Applications, v. 1, p. 1-7, 2013.

18) SILVA, T. C. and LIANG ZHAO, �Detecting and preventing error propagation via competitive learning. Neural Networks, v. 41, p. 70-84, 2013.

19) SILVA, T. C., LIANG ZHAO, and CUPERTINO, T. H., �Handwritten Data Clustering Using Agents Competition in Networks�. Journal of Mathematical Imaging and Vision, v. 45, p. 264-276, 2013.

20) CUPERTINO, T. H., GUELERI, R. A., and LIANG ZHAO, �A semi-supervised classification technique based on interacting forces�. Neurocomputing, v. 121, p. 1-17, 2013.

21) X. Liang and LIANG ZHAO, �Phase-Noise-Induced Resonance in Arrays of Coupled Excitable�. IEEE Transactions on Neural Networks and Learning Systems, vol. 24, pp. 1339-1345, 2013.

22) BERTINI, J. R., LIANG ZHAO, and LOPES, A. A., �An incremental learning algorithm based on the K-associated graph for non-stationary data classification�. Information Sciences, v. 246, p. 52-68, 2013.

23) Liang, Xiaoming and LIANG ZHAO, �Effect of nonidentical signal phases on signal amplification of two coupled excitable neurons�. Neurocomputing, v. 121, p. 1-19, 2013.

24) LIANG, X. YANSHUK, S., and LIANG ZHAO, �Gating-signal propagation by a feed-forward neural motif�. Physical Review. E, v. 88, p. 012910, 2013.

25) CUPERTINO, T. H., HUERTAS, J., and LIANG ZHAO, �Data clustering using controlled consensus in complex networks�. Neurocomputing, v. 118, p. 132-140, 2013.

26) SILVA, THIAGO CHRISTIANO ; ZHAO, LIANG . Uncovering overlapping cluster structures via stochastic competitive learning. Information Sciences, v. 247, p. 40-61, 2013.

27) SILVA, T. C. and LIANG ZHAO, �Semi-Supervised Learning Guided by the Modularity Measure in ComplexNetworks�. Neurocomputing v. 78, p. 30-37, 2012.

28) BREVE, F. A., LIANG ZHAO ; QUILES, M. ; Pedrycz W. ; LIU, J., �Particle Competition and Cooperation in Networks for Semi-Supervised Learning�. IEEE Transactions on Knowledge and Data Engineering, v. 24, p. 1686-1698, 2012.

29) SILVA, T. C. and LIANG ZHAO, �Network-Based Stochastic Semisupervised Learning�. IEEE Transactions on Neural Networks, v. 23, p. 451-466, 2012.

30) SILVA, T. C. and LIANG ZHAO, �Stochastic Competitive Learning in Complex Networks�. IEEE Transactions on Neural Networks, v. 23, p. 385-398, 2012.

31) BERTINI, J. R., LOPES, A. A., and LIANG ZHAO, �Partially Labeled Data Stream Classification with the Semi-Supervised K-associated Graph�. Journal of the Brazilian Computer Society, v. 18, p. 1-12, 2012.

32) SILVA, T. C. and LIANG ZHAO, �Network-Based High Level Data Classification�. IEEE Transactions on Neural Networks, v. 23, p. 954-970, 2012.

33) LIANG, X., LIANG ZHAO, and LIU, Z., �Optimal signal amplification in weighted scale-free networks�. Chaos, v. 22, p. 023128(1-7), 2012.

34) LIANG, X., LIANG ZHAO, and LIU, Z., �Signal amplification of active rotators with phase-shifted coupling�. The European Physical Journal. B, v. 85, p. 219(1-6), 2012.

35) LIANG, X., LIANG ZHAO, and LIU, Z., �Enhancing weak signal transmission through a feedforward network�. IEEE Transactions on Neural Networks, v. 23, p. 1506-1512, 2012.

36) LIANG, X. and LIANG ZHAO, �Phase-disorder-induced firing activity in excitable neuronal networks with attractive and repulsive coupling�. Neural Networks, v. 35, p. 40-45, 2012.

37) Breve, Fabricio A. and LIANG ZHAO, �Fuzzy Community Structure Detection by Particle Competition and Cooperation�. Soft Computing, v. 1, p. 1-15, 2012.

38) Quiles, M. G., Wang, D., LIANG ZHAO, Romero, R. A. F., and HUANG, D., �Selecting salient objects in real scenes: An oscillatory correlation model�. Neural Networks, v. 24, p. 54-64, 2011.

39) BERTINI J. R., LIANG ZHAO, MOTTER, A, and LOPES, A. A., �A Nonparametric Classification Method based on K-Associated Graphs�. Information Sciences, v. 181, p. 5435-5456, 2011.

40) LIANG, X., LIANG ZHAO, and LIU, Z., �Phase-noise-induced resonance in a single neuronal system�. Physical Review E, v. 84, p. 031916, 2011.

41) Liang, Xiaoming, Dhamala, Mukeshwar, LIANG ZHAO, and Liu, Z., �Phase-disorder-induced double resonance of neuronal activity�. Physical Review E, v. 82, p. 010902(1-4), 2010.

42) Andres E. Coca, Gerard O. Tost, and LIANG ZHAO, �Characterizing Chaotic Melodies in Automatic Music Composition�, Chaos, vol. 20, pp. 033125 (1-12), 2010.

43) F. Breve, LIANG ZHAO, M. Quiles, and E. E. N. Macau, �Chaotic Phase Synchronization and Desynchronization in an Oscillator Network for Object Selection�, Neural Networks, Vol. 22, pp. 728-737, 2009.

44) A. C. B. Delbem, L. C. Correa, and LIANG ZHAO, �Design of Associative Memories using Cellular Neural Networks�, Neurocomputing, Vol. 72, pp. 2180-2188, 2009. 

45) M. Quiles, LIANG ZHAO, F. A. Breve, and R. F. Romero, �A Network of Integrate and Fire Neurons for Visual Selection�, Neurocomputing, Vol. 72, pp. 2198-2208, 2009. 

46) LIANG ZHAO, F. A. Breve, �Chaotic synchronization in 2D lattice for scene segmentation�, Neurocomputing, Vol. 71, pp. 2761-2771, 2008. 

47) M. Quiles, LIANG ZHAO, R. L. Alonso, and R. F. Romero, �Particle competition for complex network community detection�. Chaos, Vol. 18, pp. 033107(1-10), 2008. 

48) LIANG ZHAO, T. Cupertino, and J. Bertini Jr, �Chaotic synchronization in general network topology for scene segmentation�, Neurocomputing, Vol. 71, pp. 3360-3366, 2008.

49) L. C. Correa, A. C. B. Delbem, and LIANG ZHAO, �An�lise comparativa de desempenho de mem�ria associativa em redes neurais celulares�, Controle & Automa��o, Vol. 19, pp. 250-262, 2008.

50) LIANG ZHAO, K.-H. Park, Y.-C. Lai, and T. H. Cupertino, �Attack Induced Cascading Breakdown in Complex Networks�. Journal of the Brazilian Computer Society, Vol. 13, pp. 67-76, 2007.

51)  LIANG ZHAO, T. H. Cupertino, K.-H. PARK, Y.-C. Lai, and X. Jin, �Optimal structure of complex networks for minimizing traffic congestion�. Chaos, Vol. 17, pp. 043103(1-5), 2007.

52)  LIANG ZHAO, J. C. G. Caceres, H. Szu, and A. P. G. Damiance Jr., �Chaotic Dynamics for Multi-Value Content Addressable Memory�, Neurocomputing, Vol. 69, No. 1, pp. 1628-1636, 2006. 

53)  LIANG ZHAO, Y.-C Lai, and C.-W. Shih, �Transition to intermittent chaotic synchronization�, Physical Review E, Vol. 72, No. 3, pp 036212_1-7, 2005.  

54)  LIANG ZHAO, K.-H. Park, and Y.-C. Lai,  �Tolerance of scale-free networks against attack-induced cascades�, Physical Review E (Rapid Communication), Vol. 72, No. 2, pp. 025104(R)_1� 4, 2005.

55)  K.-H. Park, LIANG ZHAO, and Y.-C. Lai,  �Jamming in gradient networks�, Physical Review E (Rapid Communication), Vol. 71, No. 6, pp. 065105(R)_1�4, 2005.

56)  LIANG ZHAO, K.-H. Park, Y.-C. Lai, and N. Ye, �Onset of traffic congestion in complex networks�, Physical Review E, , Vol. 71, No. 2, pp. 026125_1 � 026125_8, 2005.

57)  Y.-C, Lai , A. Motter, T. Nishikawa, K. Park, LIANG ZHAO, "Complex networks: Dynamics and security", Pramana-Journal of Physics, Vol. 64, No. 4, pp. 483-502, 2005.

58)  LIANG ZHAO, A. C. P. L. F. Carvalho, and Z.-H Li, �Pixel clustering by adaptive moving and chaotic synchronization�, IEEE Transactions on Neural Networks, Vol. 15, No. 5,  pp. 1176-1185, 2004.

59)  A. P. G. Damiance Jr., LIANG ZHAO, and A. C. P. L. F. Carvalho, �A dynamical model with adaptive pixel moving for microarray image segmentation�, Real Time Imaging, Bioimaging Special Issue, vol. 10, pp. 189-195, 2004.

60)  LIANG ZHAO, K.-H. Park, and Y.-C. Lai, �Attack vulnerability of scale-free networks due to cascading breakdown�, Physical Review E (Rapid Communication), Vol. 70, No. 3, pp. 035101(R)_1� 4, 2004. 

61)  LIANG ZHAO, Y.-C. Lai, R. Wang, and J.-Y. Gao, �Limits to chaotic phase synchronization�, Europhysics Letters, Vol. 66, No. 3, pp. 324-330, 2004.

62)  LIANG ZHAO, R. A Furukawa, and A. C. P. L. F. Carvalho, �A network of coupled chaotic maps for adaptive multi-scale image segmentation�, International Journal of Neural Systems. , Vol. 13, No. 2, pp. 131 - 139, 2003.

63)  LIANG ZHAO, �Robust chaotic synchronization for scene segmentation�, International Journal of Modern Physics B, Vol.17, No. 22, pp. 4387-4394, 2003.

64)  LIANG ZHAO and E. E. N. Macau, �A network of dynamically coupled chaotic maps for scene segmentation�, IEEE Transactions on Neural Networks, Vol. 12, No. 6, pp. 1375-1385, 2001.

65)  LIANG ZHAO, E. E. N. Macau, and N. Omar, �Scene segmentation of the chaotic oscillator network�, International Journal of Bifurcation and Chaos, Vol.10, No. 7, pp. 1697-1708, 2000.

66)  LIANG ZHAO, �Scene segmentation by oscillatory correlation�, Brazilian Journal of Theoretical and Applied Informatics, Vol. VII, No. 2, pp. 73-88, 2000.

 

Edited Books

           1) LIANG. ZHAO, M. Guo, L. Wang, Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special Issue in Soft Computing. 1. ed. Berlin: Springer, 2008. 1 volume,  107 pages, 2009. 

           2) M. Guo, LIANG ZHAO, L. Wang, Proceedings of the 4th International Conference on Natural Computation. 1. ed. Los Alamitos: IEEE Computer Society, 7 volumes, 4905 pages,  2008.    



Book Chapters

1) BREVE, F. A.; L. ZHAO; QUILES, M., Particle Competition in Complex Networks for Semi-supervised Classification. In: Jie Zhou. (Org.). Complex Sciences., Springer, 2009, v. 4, p. 163-174. 

2) BERTINI JUNIOR, J. R.; LOPES, A. A.; Motta Robson; LIANG ZHAO, Classification Based on the Optimal K-Associated Network. In: Jie Zhou. (Org.). Complex Sciences, Springer, 2009, v. 4, p. 1167-1177. 

3) LIANG ZHAO, �Modeling Complex Dynamical Systems for Image Segmentation�, in Advances in Image and Video Segmentation, Edited by Yu-Jin ZHANG, Idea Group, Inc., v. 1, p. 93-111, 2005.

4) J. E. Araujo Filho, N. S. Dias, A. L. Portela, R. E. Silva, M. O. Terra, LIANG ZHAO, and E. E. N. Macau, �Automatic system for measurement and alignment in industrial video color monitor manufacturing process�, in Computacion Aplicada a  la Industria de Processos, pp. 404-407, edited by Jose O. Valderrama and Carlos J. Rojas, Editorial Norte Ltda., 2001 (in Spanish).

5) LIANG ZHAO, �Scene segmentation by chaotic synchronization and desynchronization�, Lecture Notes on Computer Science, 1811, pp. 473-481, edited by Seong-Whan Lee, Heinrich H. Bulthoff and Tomaso Poggio, World Scientific Publishing Inc., 2000.

6) LIANG ZHAO and A. C.-L. Chian, �Locally excitatory chaotic neural sscillator network�, in Methodologies for the Conception, Design and Application of Soft Computing, vol. 2, pp. 615-618, edited by Takeshi Yamakawa & Gen Matsumoto, World Scientific Publishing Inc., 1998.



Conference Papers


1) R. Tinos, LIANG ZHAO, F. Chicano, and D. Whitley, �A New Evaluation Function for Clustering: The NK Internal Validation Criterion", Proceedings of Genetic and Evolutionary Computation Conference (GECCO-2016), v. 1, pp. 509-516, 2016.

2) Murillo G. Carneiro, LIANG ZHAO, and Yaochu Jin, �Network Structural Optimization Based on Swarm Intelligence for Highlevel Classification�, Proceedings of 2016 International Joint Conference on Neural Networks (IJCNN), v.1, pp. 1-8, 2016.

3) A. E. C. Salazar and LIANG ZHAO, �Musical Scales Recognition via Deterministic Walk in a Graph�. In: Proceedings of the 5th Brazilian Conference on Intelligent Systems (BRACIS2016), v. 1. pp. 151-156. 2016.

4) F. A. N. Verri and LIANG ZHAO, �Random Walk in Feature-Sample Networks for Semi-supervised Classification�. In: Proceedings of the 5th Brazilian Conference on Intelligent Systems (BRACIS2016), v. 1. pp. 235-240, 2016.

5) M. G. Carneiro, LIANG ZHAO, and J. L. G. Rosa, �Graph-Based Semi-Supervised Learning for Semantic Role Diffusion�. In: Proceedings of Symposium on Knowledge Discovery, Mining and Learning (KDMILE2016), v. 1. pp. 108-115, 2016.

6) R. A. Gueleri and LIANG, ZHAO, �Image segmentation via superpixels self-organized motion�. In: Proceedings of Symposium on Knowledge Discovery, Mining and Learning (KDMILE2016), v. 1. pp. 44-51, 2016.

7) URIO, P. R. ; ALVES NETO, F. ; ZHAO, LIANG . Semi-supervised Learning by Edge Domination in Complex Networks. In: 2015 11th International Conference on Natural Computation (ICNC'15), 2015, Zhangjiajie, China. Proceedings of 2015 11th     International Conference on Natural Computation (ICNC'15), 2015. v. 1. p. 516-521.

8) FERREIRA, L. N. ; ZHAO, LIANG . A Time Series Clustering Technique based on Community Detection in Networks. In: 2015 INNS Conference on Big Data, 2015, San Francisco. Procedia Computer Science, 2015. v. 53. p. 183-190.

9)BERTINI, JOAO ROBERTO ; DO CARMO NICOLETTI, MARIA ; ZHAO, LIANG . Imputation of missing data supported by Complete p-Partite attribute-based Decision Graphs. In: 2014 International Joint Conference on Neural Networks (IJCNN), 2014, Beijing. 2014 International Joint Conference on Neural Networks (IJCNN). v. 1. p. 1100-1106.

10)GUELERI, ROBERTO A. ; CUPERTINO, THIAGO H. ; DE CARVALHO, ANDRE C.P.L.F. ; ZHAO, LIANG . A flocking-like technique to perform semi-supervised learning. In: 2014 International Joint Conference on Neural Networks (IJCNN), 2014, Beijing. 2014 International Joint Conference on Neural Networks (IJCNN). v. 1. p. 1579-1586.

11) CARNEIRO, MURILLO G. ; CUPERTINO, THIAGO H. ; ZHAO, LIANG . K-associated optimal network for graph embedding dimensionality reduction. In: 2014 International Joint Conference on Neural Networks (IJCNN), 2014, Beijing. 2014 International Joint Conference on Neural Networks (IJCNN). v. 1. p. 1660-1666.

12) CUPERTINO, THIAGO H. ; ZHAO, LIANG . Machine learning via dynamical processes in complex networks. In: Congresso da Sociedade Brasileira da Computa��o (CSBC 2014), CTD XXVII Concurso de Teses e Disserta��es, 2014, Brasilia. Anais do Congresso da Sociedade Brasileira da Computa��o (CSBC 2014), 2014. v. 1. p. 412-417.

13) SOUSA, F. B. ; ZHAO, LIANG . Dynamical neural network with complex network community structure. In: Workshop of Theses and Dissertations (WTD) in SIBGRAPI 2014 - Conference on Graphics, Patterns and Images, 2014, Rio de Janeiro. Proceedings of Workshop of Theses and Dissertations (WTD) in SIBGRAPI 2014 - Conference on Graphics, Patterns and Images, 2014. v. 1. p. 1-6.

14) GUELERI, ROBERTO ALVES ; ZHAO, LIANG . Data clustering based on collective behavior and self-organization. In: Workshop of Theses and Dissertations (WTD) in SIBGRAPI 2014 - Conference on Graphics, Patterns and Images, 2014, Rio de Janeiro. Proceedings of Workshop of Theses and Dissertations (WTD) in SIBGRAPI 2014 - Conference on Graphics, Patterns and Images, 2014. v. 1. p. 1-6.

15) CUPERTINO, THIAGO H. ; ZHAO, LIANG . Aprendizado de M�quina via Processo Din�mico em Redes Complexas. In: Workshop of Theses and Dissertations (WTD) in SIBGRAPI 2014 - Conference on Graphics, Patterns and Images, 2014, Rio de Janeiro. Proceedings of Workshop of Theses and Dissertations (WTD) in SIBGRAPI 2014 - Conference on Graphics, Patterns and Images, 2014. v. 1. p. 1-6.

16) BENICASA, A. X. ; Quiles, Marcos ; SILVA, THIAGO C. ; ZHAO, LIANG ; ROMERO, R. F. . An Object-Based Visual Selection Model Combining Physical Features and Memory. In: 2014 Brazilian Conference on Intelligent Systems (BRACIS 2014), 2014, S�o Carlos. Proceedings of 2014 Brazilian Conference on Intelligent Systems, 2014. v. 1. p. 234-240.

17) SILVA, F. A. O. ; ZHAO, LIANG . Recognizing Fractal Patterns using a Ring of Phase Oscillators. In: 2014 Brazilian Conference on Intelligent Systems (BRACIS 2014), 2014, S�o Carlos. Proceedings of 2014 Brazilian Conference on Intelligent Systems, 2014. v. 1. p. 354-357.

18) SALAZAR, A. E. C. ; ZHAO, LIANG . Rhythmic Pattern Extraction by Community Detection in Complex Networks. In: 2014 Brazilian Conference on Intelligent Systems (BRACIS 2014), 2014, S�o Carlos. Proceedings of 2014 Brazilian Conference on Intelligent Systems, 2014. v. 1. p. 396-401.

19) FERREIRA, LEONARDO NASCIMENTO ; ZHAO, LIANG . Detecting Time Series Periodicity Using Complex Networks. In: 2014 Brazilian Conference on Intelligent Systems (BRACIS), 2014, Sao Paulo. 2014 Brazilian Conference on Intelligent Systems. v. 1. p. 402-407.

20) SOUSA, FABIANO BERARDO DE ; ZHAO, LIANG . Evaluating and Comparing the IGraph Community Detection Algorithms. In: 2014 Brazilian Conference on Intelligent Systems (BRACIS), 2014, Sao Paulo. 2014 Brazilian Conference on Intelligent Systems. v. 1. p. 408-413.

21) SOUSA, F. B. ; ZHAO, LIANG . Metodologia baseada em redes complexas para an�alise das vota c oes de deputados brasileiros. In: Encontro Nacional de Intelig encia Artificial e Computacional (ENIAC 2014), 2014, S�o Carlos. Anais de Encontro Nacional de Intelig encia Artificial e Computacional (ENIAC 2014), 2014. v. 1. p. 347-352.

22) ALVES NETO, F. ; ZHAO, LIANG . On the data classification using complex network entropy. In: Encontro Nacional de Intelig�ncia Artificial e Computacional (ENIAC 2014), 2014, S�o Carlos. Anais de Encontro Nacional de Intelig�ncia Artificial e Computacional (ENIAC 2014), 2014. v. 1. p. 53-58.

23) BERTINI, JOAO ROBERTO ; NICOLETTI, MARIA DO CARMO ; ZHAO, LIANG . Ensemble of complete P-partite graph classifiers for non-stationary environments. In: 2013 IEEE Congress on Evolutionary Computation (CEC), 2013, Cancun. 2013 IEEE Congress on Evolutionary Computation. v. 1. p. 1802-1809.

24) BERTINI, JOAO ROBERTO ; NICOLETTI, MARIA DO CARMO ; ZHAO, LIANG . Attribute-based Decision Graphs for multiclass data classification. In: 2013 IEEE Congress on Evolutionary Computation (CEC), 2013, Cancun. 2013 IEEE Congress on Evolutionary Computation. v. 1. p. 1779-1785.

25) CUPERTINO, THIAGO H. ; ZHAO, LIANG . Semi-Supervised Learning Using Random Walk Limiting Probabilities. In: International Symposium on Neural Networks (ISNN2013), 2013, Dalian China. Lecture Notes in Computer Science (LNCS). Berlin Heidelberg: Springer-Verlag, 2013. v. 7952. p. 395-404.

26) CUPERTINO, THIAGO H. ; ZHAO, LIANG . Bias-Guided Random Walk for Network-Based Data Classification. In: 10th International Symposium on Neural Networks (ISNN2013), 2013, Dalian China. Lecture Notes in Computer Science (LNCS). Berlin Heidelberg: Springer-Verlag, 2013. v. 7952. p. 375-384.

27) ARAUJO, B. M. ; ZHAO, LIANG . Detecting and labeling representative nodes for Network-based Semi-Supervised Learning. In: International Joint Conference on Neural Networks (IJCNN2013), 2013, Dallas. Proceedings of International Joint Conference on Neural Networks (IJCNN2013), 2013. v. 1. p. 1729-1736.

28) NETO, FILIPE ALVES ; ZHAO, LIANG . High level data classification based on network entropy. In: 2013 International Joint Conference on Neural Networks (IJCNN 2013 Dallas), 2013, Dallas. The 2013 International Joint Conference on Neural Networks (IJCNN). v. 1. p. 1-2409.

29) BERTINI, JOAO ROBERTO ; Zhao, Liang . A comparison of two purity-based algorithms when applied to semi-supervised streaming data classification. In: 1st BRICS Countries Congress (BRICS-CCI) and 11th Brazilian Congress (CBIC) on Computational Intelligence, 2013, Ipojuca - PE. Proceddings of the 1st BRICS Countries Congress (BRICS-CCI) and 11th Brazilian Congress (CBIC) on Computational Intelligence, 2013. v. 1. p. 21-27.

30) ANTIQUEIRA, L. ; Zhao, Liang . Structural Relationships between Spiking Neural Networks and Functional Samples. In: 1st BRICS Countries Congress (BRICS-CCI) and 11th Brazilian Congress (CBIC) on Computational Intelligence, 2013, Ipojuca - PE. Proceedings of the 1st BRICS Countries Congress (BRICS-CCI) and 11th Brazilian Congress (CBIC) on Computational Intelligence, 2013. v. 1. p. 46-54.

31) SILVA, THIAGO C. ; Zhao, Liang . Pattern-Based Classification via a High Level Approach Using Tourist Walks in Networks. In: 1st BRICS Countries Congress (BRICS-CCI) and 11th Brazilian Congress (CBIC) on Computational Intelligence, 2013, Ipojuca - PE. Proceddings of the 1st BRICS Countries Congress (BRICS-CCI) and 11th Brazilian Congress (CBIC) on Computational Intelligence, 2013. v. 1. p. 284-289.

32) ARAUJO, BILZA ; Zhao, Liang . Selecting Nodes with Inhomogeneous Profile for Labeling for Network-Based Semi-supervised Learning. In: 1st BRICS Countries Congress (BRICS-CCI) and 11th Brazilian Congress (CBIC) on Computational Intelligence, 2013, Ipojuca - PE. Proceddings of the 1st BRICS Countries Congress (BRICS-CCI) and 11th Brazilian Congress (CBIC) on Computational Intelligence, 2013. v. 1. p. 428-434.

33) CARNEIRO, M. G. ; Zhao, Liang . High Level Classification Totally Based on Complex Networks. In: 1st BRICS Countries Congress (BRICS-CCI) and 11th Brazilian Congress (CBIC) on Computational Intelligence, 2013, Ipojuca - PE. Proceddings of the 1st BRICS Countries Congress (BRICS-CCI) and 11th Brazilian Congress (CBIC) on Computational Intelligence, 2013. v. 1. p. 507-514.

34) Breve, Fabricio A. ; Zhao, Liang . Semi-supervised Learning with Concept Drift Using Particle Dynamics Applied to Network Intrusion Detection Data. In: 1st BRICS Countries Congress (BRICS-CCI) and 11th Brazilian Congress (CBIC) on Computational Intelligence, 2013, Ipojuca - PE. Proceddings of the 1st BRICS Countries Congress (BRICS-CCI) and 11th Brazilian Congress (CBIC) on Computational Intelligence, 2013. v. 1. p. 335-340.

35) CUPERTINO, THIAGO H. ; CARNEIRO, MURILLO G. ; ZHAO, LIANG . Dimensionality reduction with the k-associated optimal graph applied to image classification. In: 2013 IEEE International Conference on Imaging Systems and Techniques (IST), 2013, Beijing. 2013 IEEE International Conference on Imaging Systems and Techniques (IST). v. 1. p. 366-371.

36) SILVA, THIAGO CHRISTIANO ; ZHAO, LIANG . Handwritten digits recognition using a high level network-based approach. In: 2013 IEEE International Conference on Imaging Systems and Techniques (IST), 2013, Beijing. 2013 IEEE International Conference on Imaging Systems and Techniques (IST). v. 1. p. 248-253.

37) ZAMONER, FABIO WILLIAN ; ZHAO, LIANG . A Network-Based Semi-supervised Outlier Detection Technique Using Particle Competition and Cooperation. In: 2013 Brazilian Conference on Intelligent Systems (BRACIS), 2013, Fortaleza. 2013 Brazilian Conference on Intelligent Systems. v. 1. p. 225-230.

38) BENICASA, A. X. ; QUILES, M. ; ZHAO, LIANG ; ROMERO, R. F. . Top-Down Biasing and Modulation for Object-Based Visual Attention. In: 20th International Conference on Neural Information Processing (ICONIP 2013), 2013, Daegu. Lecture Notes on Computer Science. Berlin Heidelb: Springer-Verlag, 2013. v. 8228. p. 325-332.

39) DE SOUSA, FABIANO BERARDO ; ZHAO, LIANG . Investigation of complex dynamics in a recurrent neural network with network community structure and asymmetric weight matrix. In: 2013 International Joint Conference on Neural Networks (IJCNN 2013 Dallas), 2013, Dallas. The 2013 International Joint Conference on Neural Networks (IJCNN). v. 1. p. 1-7.

40) COCA, ANDRES E. ; CORREA, DEBORA C. ; ZHAO, LIANG . Computer-aided music composition with LSTM neural network and chaotic inspiration. In: 2013 International Joint Conference on Neural Networks (IJCNN 2013 Dallas), 2013, Dallas. The 2013 International Joint Conference on Neural Networks (IJCNN). v. 1. p. 1-7.

41) BERTINI, JOAO ROBERTO ; ZHAO, LIANG . A Purity Measure Based Transductive Learning Algorithm. In: The Tenth International Symposium on Neural Networks (ISNN 2013), 2013, DaLian. Advances in Neural Networks Lecture Notes in Computer Science. Berlin Heidelberg: Springer, 2013. v. 7952. p. 405-412.

42) FERREIRA, LEONARDO N. ; PINTO, A. R. ; ZHAO, LIANG . QK-Means: A clustering technique based on community detection and K-Means for deployment of cluster head nodes. In: 2012 International Joint Conference on Neural Networks (IJCNN 2012 Brisbane), 2012, Brisbane. The 2012 International Joint Conference on Neural Networks (IJCNN). v. 1. p. 825-831.

43) BENICASA, A. X. ; L. ZHAO ; ROMERO, R. F. . Model of top-down / bottom-up visual attention for location of salient objects in specific domains. In: 2012 International Joint Conference on Neural Networks (IJCNN 2012 Brisbane), 2012, Brisbane. The 2012 International Joint Conference on Neural Networks (IJCNN). v. 1. p. 1582-1589.

44) SILVA, THIAGO C. ; ZHAO, LIANG . Detecting overlapping structures via network-based competitive learning. In: 2012 International Joint Conference on Neural Networks (IJCNN 2012 Brisbane), 2012, Brisbane. The 2012 International Joint Conference on Neural Networks (IJCNN). v. 1. p. 3036-3043.

45) Breve, Fabricio ; ZHAO, LIANG . Particle competition and cooperation in networks for semi-supervised learning with concept drift. In: 2012 International Joint Conference on Neural Networks (IJCNN 2012 Brisbane), 2012, Brisbane. The 2012 International Joint Conference on Neural Networks (IJCNN). v. 1. p. 1803-1808.

46) SILVA, T. C. ; L. ZHAO . Preventing Error Propagation in Semi-supervised Learning. In: the 9th International Symposium on Neural Networks (ISNN2012), 2012, Shenyang. Proceedings of the 9th International Symposium on Neural Networks (ISNN2012). Berlin: Lecture Note in Computer Science, 2012. v. 7367. p. 565-572.

47) LIANG, X. ; L. ZHAO . Stochastic Resonance in the Excitable Neuronal System with Phase-Noise. In: 2012 International Conference on Brain Inspired Cognitive Systems (BICS 2012), 2012, Shenyang. Lecture Notes in Computer Science. Berlin: Springer-Verlag, 2012. v. 7366. p. 304-310.

48) Breve, Fabricio ; ZHAO, LIANG . Particle Competition and Cooperation to Prevent Error Propagation from Mislabeled Data in Semi-supervised Learning. In: 2012 Brazilian Symposium on Neural Networks (SBRN), 2012, Curitiba. 2012 Brazilian Symposium on Neural Networks. v. 1. p. 79-84.

49) CUPERTINO, THIAGO H. ; ZHAO, LIANG . Using Katz Centrality to Classify Multiple Pattern Transformations. In: 2012 Brazilian Symposium on Neural Networks (SBRN), 2012, Curitiba. 2012 Brazilian Symposium on Neural Networks. v. 1. p. 232-237.

50) GUELERI, ROBERTO ALVES ; ZHAO, LIANG . An Energy Exchanging Mechanism for Data Clustering. In: 2012 Brazilian Symposium on Neural Networks (SBRN), 2012, Curitiba. 2012 Brazilian Symposium on Neural Networks. v. 1. p. 31-36.

51) ARAUJO, BILZA ; ZHAO, LIANG . Robustness Analysis of Network-Based Semi-supervised Learning Algorithms. In: 2012 Brazilian Symposium on Neural Networks (SBRN), 2012, Curitiba. 2012 Brazilian Symposium on Neural Networks. v. 1. p. 85-90.

52) CUPERTINO, THIAGO H. ; ZHAO, LIANG . Using Interacting Forces to Perform Semi-supervised Learning. In: 2012 Brazilian Symposium on Neural Networks (SBRN), 2012, Curitiba. 2012 Brazilian Symposium on Neural Networks. v. 1. p. 91-96.

53) BENICASA, ALCIDES X. ; Quiles, Marcos G. ; ZHAO, LIANG ; Romero, Roseli A.F. . An Object-Based Visual Selection Model with Bottom-Up and Top-Down Modulations. In: 2012 Brazilian Symposium on Neural Networks (SBRN), 2012, Curitiba. 2012 Brazilian Symposium on Neural Networks. v. 1. p. 238-243.

54) LIANG, X. ; L. ZHAO . Firing activity induced by nonidentical signal phases in two coupled excitable neurons. In: 2012 Brazilian Symposium on Neural Networks (SBRN2012), 2012, Curitiba. Proceedings of the 2012 Brazilian Symposium on Neural Networks (SBRN2012). Los Alamitos: IEEE Computer Society, 2012. v. 1. p. 97-101.

55) ALVES NETO, F. ; ZHAO, L . Extra��o de Padr�es de Imagens de Ultrassonografias Obst�tricas utilizando Wavelets. In: SIBGRAPI 2012 - Conference on Graphics, Patterns and Images - Workshop of Undergraduate Works, 2012, Ouro Preto. Proceedings of the SIBGRAPI 2012 - Conference on Graphics, Patterns and Images - Workshop of Undergraduate Works, 2012. v. 1. p. 77-80.

56) Cupertino T. H. ; SILVA, T. C. ; ZHAO, L . Multiple Images Set Classification via Network Modularity. In: SIBGRAPI 2012 - Conference on Graphics, Patterns and Images - Workshop of Theses and Dissertations, 2012, Ouro Preto. Proceedings of XXV Conference on Graphics, Patterns and Images (SIBGRAPI 2012) - Workshop of Theses and Dissertations, 2012. v. 1. p. 124-129.

57) SILVA, T. C. ; Zhao, L. . Pattern Recognition using Complex Networks. In: SIBGRAPI 2012 - Workshop of Theses and Dissertations, 2012, Ouro Preto. Proceedings of XXV Conference on Graphics, Patterns and Images (SIBGRAPI 2012) - Workshop of Theses and Dissertations, 2012. v. 1. p. 130-135.

58) BREVE, F. A. ; L. ZHAO ; QUILES, M. ; Pedrycz W. ; LIU, J. . Particle Competition and Cooperation for Uncovering Network Overlap Community Structure. In: 8th International Symposium on Neural Networks (ISNN2011), 2011, Quilin, China. Lecture Notes on Computer Science. Berlin: Springer, 2011. v. 6677. p. 426-433.

59) SILVA, T. C. ; L. ZHAO . Network-Based Learning Through Particle Competition for Data Clustering. In: 2011 International Joint Conference on Neural Networks (IJCNN2011), 2011, San Jose. Proceedings of the 2011 International Joint Conference on Neural Networks, 2011. v. 1. p. 45-52.

60) LOPEZ, J. P. H. ; L. ZHAO . Controlled Consensus Time for Community Detection in Complex Networks. In: 2011 International Joint Conference on Neural Networks (IJCNN2011), 2011, San Jose. Proceedings of the 2011 International Joint Conference on Neural Networks (IJCNN2011), 2011. v. 1. p. 307-313.

61) SALAZAR, A. E. C. ; ROMERO, R. F. ; L. ZHAO . Generation of composed musical structures through recurrent neural networks based on chaotic inspiration. In: 2011 International Joint Conference on Neural Networks (IJCNN2011), 2011, San Jose. Proceedings of the 2011 International Joint Conference on Neural Networks (IJCNN2011), 2011. v. 1. p. 3220-3226.

62) BERTON, L. ; L. ZHAO . Caracteriza��o de Classes via Otimiza��o em Redes Complexas. In: VIII Encontro Nacional de Intelig�ncia Artificial (ENIA2011), 2011, Natal. XXX Congresso da Sociedade Brasileira de Computa��o, 2011. v. 1. p. 548-559.

63) R. A. Gueleri ; L. ZHAO . Agrupamento de Dados Baseado em Din�mica de Troca de Energia. In: VIII Encontro Nacional de Intelig�ncia Artificial (ENIA2011), 2011, Natal. XXX Congresso da Sociedade Brasileira de Computa��o, 2011. v. 1. p. 418-429.

64) SILVA, T. C. ; L. ZHAO . Semi-Supervised Learning in Complex Networks. In: VIII Encontro Nacional de Intelig�ncia Artificial (ENIA2011), 2011, Natal. XXX Congresso da Sociedade Brasileira de Computa��o, 2011. v. 1. p. 406-417.

65) SILVA, T. C. ; Cupertino T. H. ; L. ZHAO . Stochastic Competitive Learning Applied to Handwritten Digit and Letter Clustering. In: XXIV Sibgrapi Conference on Graphics, Patterns and Images, 2011, Macei�. Proceedings of the XXIV Sibgrapi Conference on Graphics, Patterns and Images. Los Alamos: IEEE Computer Society, 2011. v. 1. p. 313-320.

66) SILVA, T. C. ; Cupertino T. H. ; L. ZHAO . High Level Classification in Pattern Recognition. In: XXIV Sibgrapi Conference on Graphics, Patterns and Images, 2011, Macei�. Proceedings of the XXIV Sibgrapi Conference on Graphics, Patterns and Images. Los Alamos: IEEE Computer Society, 2011. v. 1. p. 352-359.

67) SILVA, T. C. ; L. ZHAO . Uncovering Overlapping Structures via Stochastic Competitive Learning. In: Congresso Brasileiro de Intelig�ncia Computacional, 2011, Fortareza. Anais do Congresso Brasileiro de Intelig�ncia Computacional, 2011. v. 1.

68) BERTINI JUNIOR, J. R. ; LOPES, A. A. ; L. ZHAO . Streaming Data Classification with the K-associated Graph. In: X Congresso Brasileiro de Intelig�ncia Computacional, 2011, Fortaleza. Anais do X Congresso Brasileiro de Intelig�ncia Computacional, 2011. v. 1. p. 1-7.

69) FERREIRA, L. N. ; A S R Pinto ; LOPES, A. A. ; L. ZHAO . Community Detection Approach for Cluster Formation in Wireless Sensor Networks. In: X Congresso Brasileiro de Intelig�ncia Computacional, 2011, Fortaleza. Anais do X Congresso Brasileiro de Intelig�ncia Computacional, 2011. v. 1. p. 1-8.

70) Cupertino T. H. ; L. ZHAO . Traffic Congestion on Clustered Random Complex Networks. In: Second International Workshop on Complex Networks (CompleNet 2010), 2011, Rio de Janeiro. Communications in Computer and Information Science, 2010. v. 116. p. 13-21.

71) SILVA, T. C. ; L. ZHAO . Stochastic Competitive Learning in Complex Networks. In: 10a Confer�ncia Brasileira de Din�mica, Controle e Aplica��es, 2011, Agua de Lind�ia. Anais da 10a Confer�ncia Brasileira de Din�mica, Controle e Aplica��es, 2011. v. 1. p. 47-50.

72) QUILES, M. ; L. ZHAO ; BREVE, F. A. . Label Propagation Through Neuronal Synchrony. In: 2010 International Joint Conference on Neural Networks (IJCNN'2010), 2010, Barcelona. Proceedings of the 2010 International Joint Conference on Neural Networks (IJCNN'2010), 2010. v. 1. p. 2517-2524.

73) BREVE, F. A. ; L. ZHAO ; QUILES, M. . Semi-Supervised Learning from Imperfect Data through Particle Cooperation and Competition. In: 2010 International Joint Conference on Neural Networks (IJCNN'2010), 2010, Barcelona. Proceedings of the 2010 International Joint Conference on Neural Networks (IJCNN'2010), 2010. v. 1. p. 3686-3693.

74) BERTON, L. ; LOPEZ, J. P. H. ; ARAUJO, B. M. ; L. ZHAO . Identifying Abnormal Nodes in Complex Networks by Using Random Walk Measure. In: IEEE Congress on Computational Evolution (IEEE CEC'2010), 2010, Barcelona. Proceedings of the IEEE Congress on Computational Evolution (IEEE CEC'2010), 2010. v. 1. p. 2891-2896.

75) ARAUJO, B. M. ; RODRIGUES, F. A. ; L. ZHAO ; SILVA, T. C. . Identifying Abnormal Nodes in Protein-Protein Interaction Networks. In: XI Brazilian Symposium on Artificial Neural Network (SBRN), 2010, S�o Bernardo do Campo. Proceedings of the XI Brazilian Symposium on Artificial Neural Network. Los Alamitos: IEEE Computer Society, 2010. v. 1. p. 97-102.

76) SALAZAR, A. E. C. ; TOST, G. O. ; L. ZHAO . Controlling chaotic melodies. In: IV Encuentro Nacional de Investigaci�n en Posgrados, 2009, Bogot�. Anais de IV Encuentro Nacional de Investigaci�n en Posgrados, 2009. v. 1.

77) QUILES, M.; WANG, D.; LIANG ZHAO; Romero, Roseli A. F., An Oscillatory Correlation Model of Object-based Attention. In: International Joint Conference on Neural Networks (IJCNN�2009), 2009, Atlanta. Proceedings of The International Joint Conference on Neural Networks (IJCNN�2009). IEEE Computer Society, 2009. v. 1. p. 2596-2602. 

78) BREVE, F. A.; LIANG ZHAO; QUILES, M.; MACAU, E. E. N., Chaotic Phase Synchronization for Visual Selection. In: International Joint Conference on Neural Networks (IJCNN�2009), 2009, Atlanta. Proceedings of International Joint Conference on Neural Networks (IJCNN�2009), 2009. v. 1. p. 383-390. 

79) Marcos G. Quiles, LIANG ZHAO, F. A. Breve, R. F. Romero, Detec��o de comunidades em redes complexas: um modelo de correla��o oscilat�ria. In: Encontro Nacional de Intelig�ncia Artificial (ENIA2009), Bento Gon�alves. Anais do Encontro Nacional de Intelig�ncia Artificial (ENIA2009), 2009. Vol. 1. pp. 889-898, 2009.

80) F. A. Breve, LIANG ZHAO, M. Quiles, Uncovering Overlap Community Structure in Complex Networks Using Particle Competition. In: The 2009 International Conference on Web Information Systems and Mining (WISM 09) and the 2009 International Conference on Artificial Intelligence and Computational Intelligence (AICI'09), Shanghai. Proceedings of the 2009 International Conference on Artificial Intelligence and Computational Intelligence (AICI'09). Berlin / Heidelberg : Springer, 2009. Vol. 5855. pp. 619-628, 2009.

81) T. B. S. OLIVEIRA, LIANG ZHAO, K. FACELI, and A. C. P. L. F. de CARVALHO, �Data Clustering Based on Complex Network Community Detection�. In: 2008 IEEE World Congress on Computational Intelligence (WCCI 2008), 2008, Hong Kong. Proceedings of 2008 IEEE World Congress on Computational Intelligence (WCCI 2008). Los Alamitos : IEEE Computer Society, 2008. v. 1. p. 2121-2126. 

82) T. B. S. OLIVEIRA and LIANG ZHAO, �Complex Network Community Detection Based on Swarm Aggregation�. In: The 4 th International Conference on Natural Computation (ICNC'08) and the 5 th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'08), 2008, Jinan. Proceedings of The 4 th International Conference on Natural Computation (ICNC'08) and the 5 th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'08), 2008. 

83) M. QUILES, F. A. BREVE, R. F. ROMERO, and LIANG ZHAO, �Visual Selection with Feature Contrast-Based Inhibition in a Network of Integrate and Fire Neurons�. Proceedings of The 4 th International Conference on Natural Computation (ICNC'08) and the 5 th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'08), 2008. 

84) LIANG ZHAO ; QUILES, M.; DAMIANCE JUNIOR, A. P. G.; ROMERO, R. F., A Network of Dynamically Coupled Elements for Pixel Clustering. In: The 2007 International Joint Conference on Neural Networks (IJCNN2007), 2007, Orlando. Proceedings of The 2007 International Joint Conference on Neural Networks (IJCNN2007). Los Alamitos : IEEE Computer Society, 2007. v. 1. p. 1408-1413.

85) QUILES, M.; L. ZHAO; ROMERO, R. F., A Selection Mechanism Based on a Pulse-Coupled Neural Network. In: The 2007 International Joint Conference on Neural Networks (IJCNN2007), 2007, Orlando. Proceedings of the 2007 International Joint Conference on Neural Networks (IJCNN). Los Alamitos : IEEE Computer Society, 2007. v. 1. p. 1726-1731.

86) LIANG ZHAO; BREVE, F. A.; QUILES, M.; ROMERO, R. F., Visual Selection and Shifting Mechanisms Based on a Network of Chaotic Wilson-Cowan Oscillators. In: The 3rd International Conference on Natural Computation (ICNC'07) and the 4th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'07), 2007, Haikou. Proceedings of The 3rd International Conference on Natural Computation (ICNC'07) and the 4th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'07). Los Alamitos : IEEE Computer Society, 2007. v. 5. p. 754-759.

87) QUILES, M.; BREVE, F. A.; L. ZHAO; ROMERO, R. F., A Visual Selection Mechanism Based on Network of Chaotic Wilson-Cowan Oscillators. In: 7th International Conference on Intelligent Systems Design and Applications, 2007, Rio de Jeneiro. Proceedings of 7th International Conference on Intelligent Systems Design and Applications. Danvers, MA, USA : IEEE Computer Society, 2007. v. 1. p. 919-924.

88) CORREA, L. C.; DELBEM, A. C. B; LIANG ZHAO, Associative Memories using Celular Neural Networks. In: 7th International Conference on Intelligent Systems Design and Applications, 2007, Rio de Janeiro. Proceedings of 7th International Conference on Intelligent Systems Design and Applications. Danvers, MA, USA : IEEE Computer Society, 2007. v. 1. p. 539-544.

89) SILVA, T. C.; LIANG ZHAO, Pixel Clustering by Using Complex Network Community Detection Technique. In: 7th International Conference on Intelligent Systems Design and Applications, 2007, Rio de Janeiro. Proceedings of 7th International Conference on Intelligent Systems Design and Applications. Danvers, MA, USA : IEEE Computer Society, 2007. v. 1. p. 925-930.

90) LIANG ZHAO . Lattice Synchronization of Neural Oscillators for Scene Segmentation. In: The 9th Brazilian Symposium on Artificial Neural Networks (SBRN2006), 2006, Ribeir�o Preto. Proceedings of The 9th Brazilian Symposium on Artificial Neural Networks (SBRN2006), 2006. v. 1. p. 15-20.

91) QUILES, M.; ROMERO, R. F.; LIANG ZHAO, A Pulse-Coupled Neural Network as A Simplyfied Bottom-Up Visual Attention Model. In: The 9th Brazilian Symposium on Artificial Neural Networks (SBRN2006), 2006, Ribeir�o Preto. Proceedings of The 9th Brazilian Symposium on Artificial Neural Networks (SBRN2006), 2006. v. 1. p. 78-84.

92) LIANG ZHAO; DAMIANCE JR., Antonio P. G., A Self-Organized Network for Pixel Clustering. In: 2006 International Joint Conference on Neural Networks (IJCNN2006), 2006, Quebec, Canad�. Proceedings of the 2006 International Joint Conference on Neural Networks, 2006.

93) Cupertino T. H.; LIANG ZHAO, Determining Optimal Structure of Data Traffic Flow Networks. In: International Joint Conference 2006, Workshop of Compoutitional Intelligence, 2006, Ribeir�o Preto. Proceedings of the Workshop of Compoutitional Intelligence, 2006. v. 1. p. 1-6.

94) LIANG ZHAO, A. P. G. Damiance Jr., and A. C. P. L. F. Carvalho, "A self-organized network for data clustering",  2005 International Conference on Natural Computation (ICNC'05) , Changsha, China, Lecture Notes on Computer Science, 3610, pp. 1189-1198, edited by L. Wang, K. Chen and Y. S. Ong, Springer-Verlag, 2005.

95) LIANG ZHAO, K.-H. Park, Y.-C. Lai,  �Protecting complex networks against cascading breakdown�, 4� Congresso Tem�tico de Din�mica, Controle e Aplica��es, Bauru, Brazil, 2005.

96) LIANG ZHAO, A. P. G. Damiance Jr., R. A. Furukawa, and A. C. P. L. F. Carvalho, �A Dynamical model for multi-scale pixel clustering�, In: Proceedings of 2003 International Joint Conference on Neural Networks (IJCNN2003), IEEE Press.  Portland, Oregon, USA.  pp. 1569-1573, 2003 (invited talk).

97) LIANG ZHAO, J. C. G. Caceres, and H. Szu, �Chaotic associative recalls for fixed point attractor patterns�, In: Proceedings of 2003 International Joint Conference on Neural Networks (IJCNN2003), IEEE Press, Portland, Oregon, USA. pp. 841-845, 2003.

98) W. C. Cancino, LIANG ZHAO, and A. C. P. L. F. Carvalho, �Aplicacao de algoritmos evolutivos multi-objetivo para o alinhamento de proteinas�,  In: IV Econtro Nacional de Inteligencia Artificial (IV ENIA), Campinas, Brazil. Vol. VII, pp. 297-306, 2003 (in Portuguese).

99) LIANG ZHAO and E. E. N. Macau, �A Biologically Motivated Paradigm for Scene Segmentation�, Proceedings of the 45th IEEE MWSCAS Conference (MWSCAS�2002), IEEE Press. Tulsa, Oklahoma, USA. Vol. 1, pp. 408-411, 2002 (invited talk).

100) LIANG ZHAO, R. A. Furukawa, and A. C. P. L. F. de Carvalho, �A network of globally coupled chaotic maps for adaptive multi-resolution image segmentation�, Proceedings of VIIth Brazilian Symposium on Neural Networks (SBRN�2002), IEEE Computer Society Press, Vol. 1, pp. 92-97, Recife, Brazil, 2002.

101) LIANG ZHAO, Robust Chaotic Synchronization for Scene Segmentation. In: The Dynamics Days Asia-Pacific: Second International Conference on Nonlinear Science, 2002, HangZhou. Proceedings of The Dynamics Days Asia-Pacific: Second International Conference on Nonlinear Science, 2002. 

102) LIANG ZHAO. E. E. N. Macau, �Scene Segmentation Using a Chaotic Oscillator Network�. In: Sixth SIAM Conference on Applications of Dynamical Systems, Snowbird, Utah. Proceedings of the Sixth SIAM Conference on Applications of Dynamical Systems, 2001. 

103) LIANG ZHAO, �A discrete chaotic oscillatory correlation network for scene segmentation�, Proceedings of VIth Brazilian Symposium on Neural Networks (SBRN�2000), pp. 66-71, IEEE Computer Society Press, Rio de Janeiro, Brazil, 2000.

104) Z.-H. Li, LIAG ZHAO, and N. Y. Soma (2000), �Fractal color image compression�, Proceedings of 13th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI�2000), pp. 185-192, IEEE Computer Society Press,  Gramado, Brazil, 2000.

105) Z.-H. Li, N. Y. Soma and LIANG ZHAO, �Hierarchical block coding for fractal color image compression�, Proceedings of VI 13th Brazilian Symposium on Multimedia and Hypermedia Systems (SIBMIDIA�2000), pp. 291-301, Natal, Brazil, 2000.

106) LIANG ZHAO, N. Omar, and E. E. N. Macau, �Locally coupled chaotic oscillator network for scene segmentation�, Proceedings of International Joint Conference on Neural Networks (IJCNN�99), in CD-ROM, Washington DC, USA, 1999.

107) Z.-H. Li, N. Y. Soma, and LIANG ZHAO, �A review of fractal image compression�, Proceedings of  WORKCOMP�99, pp. 23-28, Sao Jose dos Campos, Brazil, 1999.

108) LIANG ZHAO, N. Omar, and E. E. N. Macau, �A chaotic oscillatory correlation model for scene segmentation�, Proceedings of WORKCOMP�99, pp. 37-40, Sao Jose dos Campos, Brazil, 1999.

109) LIANG ZHAO, A. C.-L. Chian, and N. Omar, �Spatiotemporal dynamics of globally coupled chaotic neural oscillators�, Proceedings of 3rd Biennial International Engineering Mathematics and Applications Conference, pp. 543-545, Adelaide, Australia, 1998.

110) LIANG ZHAO and N. Omar, �A network with chaotic oscillators�, Proceedings of IV Brazilian Symposium on Neural Networks, pp. 115-117, Goiania, Brazil, 1997.

111) A. C. L. Chian and LIANG ZHAO, �Controlling chaotic dynamics of Bonhoeffer-van der Pol oscillators�. In: V latin american workshop on nonlinear phenomena, Canela., Vol. 1. pp. 56-56, 1997.

112) A. C. L. Chian, LIANG ZHAO, N. Omar, S. R. LOPES, �Control of chaos of BVP oscillators and Three-wave coupled oscillators�. In: Workshop on nonlinear dynamics & chaos in physics and biological systems, Sao Paulo, 1997.