SILVA, T. C. ; ANGHINONI, L. ; CHAGAS, C. P. ; ZHAO, LIANG ; TABAK, B. M. ; Analysis of the Effectiveness of Public Health Measures on COVID-19 Transmission. International Journal of Environmental Research and Public Health, v. 20, p. 6758-, 2023
LIU, WEIGUANG ; DELALIBERA RODRIGUES, RAFAEL ; YAN, JIANGLONG ; ZHU, YU-TAO ; DE FREITAS PEREIRA, EVERSON JOSÉ ; LI, GEN ; ZHENG, QIUSHENG ; ZHAO, LIANG ; Complex network-based classification of radiographic images for COVID-19 diagnosis. PLoS One, v. 18, p. e0290968-, 2023
ZUNIGA, ESTEBAN WILFREDO VILCA ; RANIERI, CAETANO MAZZONI ; ZHAO, LIANG ; UEYAMA, JÓ ; ZHU, YU-TAO ; JI, DONGHONG ; Maximizing portfolio profitability during a cryptocurrency downtrend: A Bitcoin Blockchain transaction-based approach. PROCEDIA COMPUTER SCIENCE, v. 222, p. 539-548, 2023
WU, K. ; TANG, M. ; HAN, R. ; Zhao, Liang ; Quantized pinning bipartite synchronization of fractional-order coupled reaction-diffusion neural networks with time-varying delays. CHAOS SOLITONS & FRACTALS, v. 174, p. 113907-, 2023
VERRI, FILIPE ALVES NETO ; URIO, PAULO ROBERTO ; ZHAO, LIANG ; Network Unfolding Map by Vertex-Edge Dynamics Modeling. IEEE Transactions on Neural Networks and Learning Systems, v. 29, p. 1-14, 2016
FERREIRA, LEONARDO N. ; VEGA-OLIVEROS, DIDIER A. ; COTACALLAPA, MOSHÉ ; CARDOSO, MANOEL F. ; Quiles, Marcos G. ; ZHAO, LIANG ; MACAU, ELBERT E. N. ; Spatiotemporal data analysis with chronological networks. Nature Communications, v. 11, p. 1-11, 2020
COLLIRI, TIAGO ; ZHAO, LIANG ; Stock market trend detection and automatic decision-making through a network-based classification model. Natural Computing, v. 20, p. 791-804, 2021
VEGA-OLIVEROS, DIDIER A. ; ZHAO, LIANG ; ROCHA, ANDERSON ; BERTON, LILIAN ; Link Prediction Based on Stochastic Information Diffusion. IEEE Transactions on Neural Networks and Learning Systems, v. 33, p. 3522-3532, 2022
LIU, JIANG ; JI, DONGHONG ; LI, JINGYE ; XIE, DONGDONG ; TENG, CHONG ; ZHAO, LIANG ; LI, FEI ; TOE: A Grid-Tagging Discontinuous NER Model Enhanced by Embedding Tag/Word Relations and More Fine-Grained Tags. IEEE-ACM Transactions on Audio Speech and Language Processing, v. 31, p. 1-11, 2022
DE OLIVEIRA JUNIOR, LAERCIO ; STELZER, FLORIAN ; ZHAO, LIANG ; Clustered and deep echo state networks for signal noise reduction. MACHINE LEARNING, v. 111, p. 2885-2904, 2022
YAN, JIANGLONG ; ANGHINONI, LEANDRO ; ZHU, YU-TAO ; LIU, WEIGUANG ; LI, GEN ; ZHENG, QIUSHENG ; ZHAO, LIANG ; Characterizing data patterns with core-periphery network modeling. Journal of Computational Science, v. 66, p. 101912-101912, 2023
Liang, Xiaoming ; HUA, LEI ; ZHANG, XIYUN ; ZHAO, LIANG ; Amplified signal response by cluster synchronization competition in rings with short-distance couplings. PHYSICAL REVIEW E, v. 106, p. 064306-, 2022
VALEJO, ALAN DEMÉTRIUS BARIA ; FABBRI, RENATO ; DE ANDRADE LOPES, ALNEU ; ZHAO, LIANG ; DE OLIVEIRA, MARIA CRISTINA FERREIRA ; Multilevel Coarsening for Interactive Visualization of Large Bipartite Networks. Frontiers in Research Metrics and Analytics, v. 7, p. 1-18, 2022
VALEJO, ALAN DEMÉTRIUS BARIA ; DE OLIVEIRA DOS SANTOS, WELLINGTON ; NALDI, MURILO COELHO ; ZHAO, LIANG ; A review and comparative analysis of coarsening algorithms on bipartite networks. European Physical Journal-Special Topics, v. 1, p. 1-12, 2021
ANGHINONI, LEANDRO ; VEGA-OLIVEROS, DIDIER A. ; SILVA, THIAGO CHRISTIANO ; ZHAO, LIANG ; Time series pattern identification by hierarchical community detection. European Physical Journal-Special Topics, v. 1, p. 1-12, 2021
VERRI, F. A. N. ; R. A. Gueleri ; ZHENG, Q. ; ZHANG, J. ; ZHAO, LIANG ; Network community detection via iterative edge removal in a flocking-like system. European Physical Journal-Special Topics, v. , p. 1-12, 2021
LIANG, X. ; ZHANG, X. ; ZHAO, LIANG ; Diversity-induced resonance for optimally suprathreshold signals. CHAOS, v. 30, p. 103101-, 2020
CARNEIRO, M. G. ; Zhao, Liang ; Semi-supervised Semantic Role Labeling for Brazilian Portuguese. Journal of Information and Data Management - JIDM, v. 8, p. 117-130, 2018
VERRI, F. A. N. ; Zhao, Liang ; Classificação de Alto Nível Baseada em Entropia da Rede. REVISTA ELETRÔNICA DE INICIAÇÃO CIENTÍFICA, v. 16, p. 1-11, 2018
DE CASTRO SANTOS, MATHEUS A. ; VEGA-OLIVEROS, DIDIER A. ; ZHAO, LIANG ; BERTON, LILIAN ; Classifying El Niño-Southern Oscillation Combining Network Science and Machine Learning. IEEE Access, v. 8, p. 55711-55723, 2020
GAO, XUBO ; ZHENG, QIUSHENG ; VEGA-OLIVEROS, DIDIER A. ; ANGHINONI, LEANDRO ; ZHAO, LIANG ; Temporal Network Pattern Identification by Community Modelling. Scientific Reports, v. 10, p. 1-12, 2020
COLLIRI, TIAGO ; ZHAO, LIANG ; Analyzing the Bills-Voting Dynamics and Predicting Corruption-Convictions Among Brazilian Congressmen Through Temporal Networks. Scientific Reports, v. 9, p. 16754-, 2019
FERREIRA, LEONARDO N. ; VEGA-OLIVEROS, DIDIER A. ; ZHAO, LIANG ; CARDOSO, MANOEL F. ; Macau, Elbert E.N. ; Global fire season severity analysis and forecasting. COMPUTERS & GEOSCIENCES, v. 1, p. 1-12, 2019
ANGHINONI, LEANDRO ; ZHAO, LIANG ; JI, DONGHONG ; PAN, HENG ; Time series trend detection and forecasting using complex network topology analysis. NEURAL NETWORKS, v. 117, p. 295-306, 2019
OLIVEROS, 	. A. V. ; ZHAO, LIANG ; BERTON, L. ; Evaluating link prediction by diffusion processes in dynamic networks. Scientific Reports, v. 9, p. 1-14, 2019
Louza, Felipe A. ; Telles, Guilherme P. ; Gog, Simon ; ZHAO, LIANG ; Algorithms to compute the Burrows-Wheeler Similarity Distribution. THEORETICAL COMPUTER SCIENCE, v. 782, p. 145-156, 2019
CARNEIRO, MURILLO G. ; CHENG, RAN ; ZHAO, LIANG ; JIN, YAOCHU ; Particle swarm optimization for network-based data classification. NEURAL NETWORKS, v. 110, p. 243-255, 2019
RODRIGUES, R. D. ; ZHENG, Q. ; ZHANG, J. ; LIANG, ZHAO ; A tourist walk approach for internal and external outlier detection. NEUROCOMPUTING, v. , p. 1-12, 2019
TINOS, RENATO ; ZHAO, LIANG ; CHICANO, FRANCISCO ; WHITLEY, DARRELL ; NK Hybrid Genetic Algorithm for Clustering. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, v. 1, p. 1-1, 2018
CUPERTINO, THIAGO HENRIQUE ; CARNEIRO, MURILLO GUIMARES ; ZHENG, QIUSHENG ; ZHANG, JUNBAO ; ZHAO, LIANG ; A Scheme for High Level Data Classification Using Random Walk and Network Measures. EXPERT SYSTEMS WITH APPLICATIONS, v. 1, p. 1-10, 2017
CARNEIRO, MURILLO GUIMARAES ; ZHAO, LIANG ; Organizational Data Classification Based on the Importance Concept of Complex Networks. IEEE Transactions on Neural Networks and Learning Systems, v. 10, p. 1-13, 2017
VERRI, F. A. N. ; URIO, P. R. ; ZHAO, LIANG ; Advantages of Edge-Centric Collective Dynamics in Machine Learning Tasks. Journal of Applied Nonlinear Dynamics, v. 7, p. 269-285, 2018
URIO, PAULO ROBERTO ; VERRI, FILIPE ALVES NETO ; ZHAO, LIANG ; Semi-Supervised Classification by Particle Competition in Complex Network?s Edges. International Journal of Pattern Recognition and Artificial Intelligence, v. 30, p. 1660006-1660006(1-19), 2016
BERTINI, JOÃO ROBERTO ; NICOLETTI, MARIA DO CARMO ; ZHAO, LIANG ; Attribute-based Decision Graphs: A framework for multiclass data classification. Neural Networks, v. 85, p. 69-84, 2017
ARAÚJO, BILZÃ ; ZHAO, LIANG ; Data heterogeneity consideration in semi-supervised learning. Expert Systems with Applications, v. 45, p. 234-247, 2015
BERTINI, JOAO ROBERTO ; NICOLETTI, M. C. ; ZHAO, LIANG ; An embedded imputation method via Attribute-based Decision Graphs. Expert Systems with Applications, v. 57, p. 159-177, 2016
COCA, ANDRÉS E. ; ZHAO, LIANG ; Musical rhythmic pattern extraction using relevance of communities in networks. Information Sciences, v. 329, p. 819-848, 2016
BENICASA, A. X. ; QUILES, M. ; SILVA, THIAGO CHRISTIANO ; ZHAO, LIANG ; Romero, Roseli A. F. ; An object-based visual selection framework. Neurocomputing (Amsterdam), v. 180, p. 35-54, 2016
SILVA, F. A. O. ; ZHAO, LIANG ; A Network of Neural Oscillators for Fractal Pattern Recognition. Neural Processing Letters, v. , p. 1-11, 2015
FERREIRA, L. N. ; ZHAO, LIANG ; Time series clustering via community detection in networks. Information Sciences, v. 326, p. 227-242, 2015
CUPERTINO, THIAGO H. ; ZHAO, LIANG ; CARNEIRO, MURILLO G. ; Network-based supervised data classification by using an heuristic of ease of access. Neurocomputing (Amsterdam), v. 149, p. 86-92, 2014
SILVA, THIAGO C. ; ZHAO, LIANG ; High-level pattern-based classification via tourist walks in networks. Information Sciences, v. 294, p. 109-126, 2015
CUPERTINO, THIAGO H. ; GUELERI, ROBERTO ; ZHAO, LIANG ; A semi-supervised classification technique based on interacting forces. Neurocomputing (Amsterdam), v. 127, p. 43-51, 2013
Breve, Fabricio A. ; ZHAO, LIANG ; Quiles, Marcos G. ; Particle Competition and Cooperation for Semi-Supervised Learning with Label Noise. Neurocomputing (Amsterdam), v. 160, p. 63-72, 2015
Liang, Xiaoming ; ZHAO, LIANG ; Phase-Noise-Induced Resonance in Arrays of Coupled Excitable Neural Models. IEEE Transactions on Neural Networks and Learning Systems, v. 24, p. 1339-1345, 2013
CUPERTINO, THIAGO H. ; SILVA, THIAGO C. ; ZHAO, LIANG ; Classification of multiple observation sets via network modularity. Neural Computing & Applications (Internet), v. 23, p. 1923-1929, 2013
VEGA-OLIVEROS, DIDIER A ; BERTON, LILIAN ; EBERLE, ANDRE MANTINI ; LOPES, ALNEU DE ANDRADE ; ZHAO, LIANG ; Regular graph construction for semi-supervised learning. Journal of Physics. Conference Series (Online), v. 490, p. 012022-, 2014
CARNEIRO, M. G. ; Zhao, Liang ; LOPES, A. A. ; ROSA, J. L. G. ; Network-based data classification: combining K-associated optimal graphs and high-level prediction. Journal of The Brazilian Computer Society (Online), v. 20, p. 1-14, 2014
CUPERTINO, THIAGO H. ; HUERTAS, JEAN ; ZHAO, LIANG ; Data clustering using controlled consensus in complex networks. Neurocomputing (Amsterdam), v. 118, p. 132-140, 2013
Liang, Xiaoming ; ZHAO, LIANG ; Effect of nonidentical signal phases on signal amplification of two coupled excitable neurons. Neurocomputing (Amsterdam), v. 127, p. 21-29, 2013
SILVA, THIAGO CHRISTIANO ; ZHAO, LIANG ; Uncovering overlapping cluster structures via stochastic competitive learning. Information Sciences, v. 247, p. 40-61, 2013
LIANG, X. ; YANSHUK, S. ; ZHAO, LIANG ; Gating-signal propagation by a feed-forward neural motif. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics (Print), v. 88, p. 012910-, 2013
BERTINI, JOÃO ROBERTO ; ZHAO, LIANG ; LOPES, ALNEU A. ; An incremental learning algorithm based on the K-associated graph for non-stationary data classification. Information Sciences, v. 246, p. 52-68, 2013
SILVA, THIAGO ; ZHAO, LIANG ; CUPERTINO, THIAGO H. ; Handwritten Data Clustering Using Agents Competition in Networks. Journal of Mathematical Imaging and Vision (Dordrecht. Online), v. 45, p. 264-276, 2013
SILVA, T. C. ; ZHAO, LIANG ; Detecting and preventing error propagation via competitive learning. Neural Networks, v. 41, p. 70-84, 2013
Breve, Fabricio A. ; Zhao, L. ; Fuzzy Community Structure Detection by Particle Competition and Cooperation. Soft Computing (Berlin. Print), v. 17, p. 659-673, 2012
LIANG, X. ; ZHAO, L ; Phase-disorder-induced firing activity in excitable neuronal networks with attractive and repulsive coupling. Neural Networks, v. 35, p. 40-45, 2012
LIANG, X. ; L. ZHAO ; LIU, Z. ; Enhancing weak signal transmission through a feedforward network. IEEE Transactions on Neural Networks and Learning Systems, v. 23, p. 1506-1512, 2012
LIANG, X. ; L. ZHAO ; LIU, Z. ; Signal amplification of active rotators with phase-shifted coupling. The European Physical Journal. B, Condensed Matter Physics (Print), v. 85, p. 219-224, 2012
LIANG, X. ; L. ZHAO ; LIU, Z. ; Optimal signal amplification in weighted scale-free networks. Chaos (Woodbury, N.Y.), v. 22, p. 023128_1-023128_7, 2012
SILVA, T. C. ; L. ZHAO ; Network-Based High Level Data Classification. IEEE Transactions on Neural Networks and Learning Systems, v. 23, p. 954-970, 2012
BERTINI JUNIOR, J. R. ; LOPES, A. A. ; L. ZHAO ; Partially Labeled Data Stream Classification with the Semi-Supervised K-associated Graph. Journal of the Brazilian Computer Society (Impresso), v. 18, p. 1-12, 2012
SILVA, T. C. ; L. ZHAO ; Stochastic Competitive Learning in Complex Networks. IEEE Transactions on Neural Networks and Learning Systems, v. 23, p. 385-398, 2012
SILVA, T. C. ; L. ZHAO ; Network-Based Stochastic Semisupervised Learning. IEEE Transactions on Neural Networks and Learning Systems, v. 23, p. 451-466, 2012
LIANG, X. ; L. ZHAO ; LIU, Z. ; Phase-noise-induced resonance in a single neuronal system. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics (Print), v. 84, p. 031916-, 2011
BERTINI JUNIOR, J. R. ; L. ZHAO ; MOTTER, A e ; LOPES, A. A. ; A Nonparametric Classification Method based on K-Associated Graphs. Information Sciences, v. 181, p. 5435-5456, 2011
BREVE, F. A. ; L. ZHAO ; QUILES, M. ; Pedrycz W. ; LIU, J. ; Particle Competition and Cooperation in Networks for Semi-Supervised Learning. IEEE Transactions on Knowledge and Data Engineering (Print), v. 24, p. 1686-1698, 2012
SILVA, T. C. ; L. ZHAO ; Semi-Supervised Learning Guided by the Modularity Measure in ComplexNetworks. Neurocomputing (Amsterdam), v. 78, p. 30-37, 2012
Quiles, Marcos G. ; WANG, D. ; L. ZHAO ; Romero, Roseli A.F. ; HUANG, D. ; Selecting salient objects in real scenes: An oscillatory correlation model. Neural Networks, v. 24, p. 54-64, 2011
Coca, Andre?s E. ; Tost, Gerard O. ; Zhao, Liang ; Characterizing chaotic melodies in automatic music composition. Chaos (Woodbury, N.Y.), v. 20, p. 033125-033125(12), 2010
Liang, Xiaoming ; Dhamala, Mukeshwar ; Zhao, Liang ; Liu, Zonghua ; Phase-disorder-induced double resonance of neuronal activity. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics (Print), v. 82, p. 010902_1-010902_4, 2010
Breve, Fabricio A. ; Zhao, Liang ; Quiles, Marcos G. ; Macau, Elbert E.N. ; Chaotic phase synchronization and desynchronization in an oscillator network for object selection. Neural Networks, v. 22, p. 728-737, 2009
Quiles, Marcos G. ; Zhao, Liang ; Breve, Fabricio A. ; Romero, Roseli A.F. ; A network of integrate and fire neurons for visual selection. Neurocomputing (Amsterdam), v. 72, p. 2198-2208, 2009
Delbem, Alexandre C.B. ; Correa, Leonardo Garcia ; Zhao, Liang ; Design of associative memories using cellular neural networks. Neurocomputing (Amsterdam), v. 72, p. 2180-2188, 2009
ZHAO, L ; CUPERTINO, T ; BERTINIJR, J ; Chaotic synchronization in general network topology for scene segmentation. Neurocomputing (Amsterdam), v. 71, p. 3360-3366, 2008
Quiles, Marcos G. ; Zhao, Liang ; Alonso, Ronaldo L. ; Romero, Roseli A. F. ; Particle competition for complex network community detection. Chaos (Woodbury), v. 18, p. 033107-033107(1-10), 2008
L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; BREVE, F. A. ; Chaotic synchronization in 2D lattice for scene segmentation. Neurocomputing (Amsterdam), v. 71, p. 2761-2771, 2008
Cupertino T. H. ; L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; Minimização de Congestionamento de Tráfego de Pacotes em Redes com Estruturas Complexas. REIC. Revista Eletrônica de Iniciação Científica, v. 2, p. 1-12, 2007
CORREA, L. C. ; DELBEM, A. C. B. ; L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; ANÁLISE COMPARATIVA DE DESEMPENHO DE MEMÓRIAS ASSOCIATIVAS EM REDES NEURAIS CELULARES. Controle & Automação, v. 19, p. 250-462, 2008
L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; Cupertino T. H. ; PARK, Kwangho ; LAI, Ying-cheng ; JIN, X. ; Optimal structure of complex networks for minimizing traffic congestion. Chaos (Woodbury), v. 17, p. 043103-1-043103-5, 2007
L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; PARK, Kwangho ; LAI, Ying-cheng ; Cupertino T. H. ; Attack Induced Cascading Breakdown in Complex Networks. Journal of the Brazilian Computer Society, v. 13, p. 67-76, 2007
L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; LAI, Ying-cheng ; SHIH, C W ; Transition to intermittent chaotic synchronization. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics (Print), USA, v. 72, p. 036212-1-036212-7, 2005
L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; PARK, Kwangho ; LAI, Ying-cheng ; Tolerance of scale-free networks against attack-induced cascades. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics (Print), v. 72, p. 025104-1-025104-4, 2005
L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; CÁCERES, J. C. G. ; SZU, H. ; DAMIANCE JUNIOR, A. P. G. ; Chaotic Dynamics for Multi-Value Content Addressable Memory. Neurocomputing (Amsterdam), German, v. 69, p. 1628-1636, 2006
LAI, Ying-cheng ; MOTTER, A e ; NISHIKAWA, T ; PARK, Kwangho ; L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; Complex networks: Dynamics and security. Pramana (Bangalore), v. 64, p. 483-502, 2005
PARK, Kwangho ; LAI, Ying-cheng ; L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; YE, Nong ; Jamming in complex gradient networks. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics (Print), v. 71, p. 065105-1-065105-4, 2005
L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; LAI, Ying-cheng ; PARK, Kwangho ; YE, Nong ; Onset of Traffic Congestion in Complex Networks. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics (Print), v. 71, p. 026121-026128, 2005
L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; LAI, Ying-cheng ; PARK, Kwangho ; Attack vulnerability of scale-free networks due to cascading breakdown. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics (Print), USA, v. 70, p. 035101-1-035101-4, 2004
DAMIANCEJR, A ; L. ZHAO ; CARVALHO, A ; A dynamical model with adaptive pixel moving for microarray images segmentation. Real-Time Imaging (Cessou em 2005), v. 10, p. 189-195, 2004
L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; LAI, Ying-cheng ; WANG, R. ; GAO, J.-Y ; Limits to chaotic phase synchronization. Europhysics Letters (Print), v. 66, p. 324-330, 2004
L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; deCarvalho, A.C.P.L.F. ; LI, Z. ; Pixel Clustering by Adaptive Pixel Moving and Chaotic Synchronization. IEEE Transactions on Neural Networks, v. 15, p. 1176-1185, 2004
L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; FURUKAWA, R. A. ; CARVALHO, André C. P. L. F. de ; A network of coupled chaotic maps for adaptive multi-scale image segmentation. International Journal of Neural Systems, v. 13, p. 129-137, 2003
Zhao, L. ; Chaotic Synchronization for Scene Segmentation. International Journal of Modern Physics B, v. 17, p. 4387-4394, 2003
Liang Zhao, ; Macau, E.E.N. ; Zhao, L. ; A network of dynamically coupled chaotic maps for scene segmentation. IEEE Transactions on Neural Networks, v. 12, p. 1375-1385, 2001
L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; scene segmentation by oscillatory correlation. Revista de Informática Teórica e Aplicada, Porto Alegre, v. VII, p. 73-88, 2000
Zhao, L. ; MACAU, E. E. N. ; Scene segmentation of the chaotic oscillator network. International Journal of Bifurcation and Chaos in Applied Sciences and Engineering, Singapore, v. 10, p. 1697-1708, 2000
CANTAO, A. H. ; BARANAUSKAS, J. A. ; MACEDO, A. A. ; ZHAO, LIANG ; Feature Ranking from Random Forest Through Complex Network?s Centrality Measures A Robust Ranking Method Without Using Out-of-Bag Examples. In: . Advances in Databases and Information Systems i- European Conference on Advances in Databases and Information Systems (ADBIS 2022). : , 2022, v. 1, p. 330-343.
ZHAO, LIANG ; SILVA, T. C. ; CARNEIRO, M. G. ; Classificação de Dados de Alto Nível em Redes Complexas. In: Fabio G Cozman, Guilherme Ary Plonski, Hugo Neri. Inteligência Artificial: Avanços e Tendências. : Instituto de Estudos Avançados, 2021, v. 1, p. 147-205.
YAN, J. ; LIU, W. ; ZHU, Y. ; LI, G. ; ZHENG, QIUSHENG ; ZHAO, LIANG ; Classification of Dispersed Patterns of Radiographic Images with COVID-19 by Core-Periphery Network Modeling. In: . Complex Networks & Their Applications X. : Springer, 2022, v. 1, p. 40-49.
LIU, WEIGUANG ; YAN, J. ; ZHU, Y. ; PEREIRA, E. J. F. ; LI, G. ; ZHENG, QIUSHENG ; ZHAO, LIANG ; Analysis of Radiographic Images of Patients with COVID-19 Using Fractal Dimension and Complex Network-Based High-Level Classification. In: . Complex Networks & Their Applications X. : Springer, 2022, v. 1, p. 16-26.
COLLIRI, T. ; ZHAO, LIANG ; Predicting Corruption Convictions Among Brazilian Representatives Through a Voting-History Based Network. In: . Corruption Networks - Concepts and Applications. : Springer, 2021, v. 1, p. 51-66.
COLLIRI, T. ; MINAKAWA, M. ; ZHAO, LIANG ; Detecting Early Signs of Insufficiency in COVID-19 Patients from CBC Tests Through a Supervised Learning Approach. In: Center for Artificial Intelligence (C4AI), University of São Paulo (USP). Proceedings of 10th Brazilian Conference on Intelligent Systems (BRACIS2021), Lecture Notes in Artificial Intelligence. : Springer, 2021, v. 2, p. 42-57.
NUNES, B. ; COLLIRI, T. ; LAURETTO, M. ; LIU, W. ; ZHAO, LIANG ; Anomaly Detection in Brazilian Federal Government Purchase Cards Through Unsupervised Learning Techniques. In: Center for Artificial Intelligence (C4AI), University of São Paulo (USP). Proceedings of 10th Brazilian Conference on Intelligent Systems (BRACIS2021), Lecture Notes in Artificial Intelligence. : Springer, 2021, v. 2, p. 19-32.
VALEJO, A. D. B. ; ALTHOFF, P. E. ; FALEIROS, T. P. ; CHUERUBIM, M. L. ; YAN, J. ; LIU, WEIGUANG ; ZHAO, LIANG ; Coarsening Algorithm via Semi-synchronous Label Propagation for Bipartite Networks. In: Center for Artificial Intelligence (C4AI), University of São Paulo (USP). Proceedings of 10th Brazilian Conference on Intelligent Systems (BRACIS2021), Lecture Notes in Artificial Intelligence. : Springer, 2021, v. 2, p. 437-452.
Martins, Luan V. C. ; ZHAO, LIANG ; Particle Competition for Unbalanced Community Detection in Complex Networks. In: . Lecture Notes in Computer Science. : Springer International Publishing, 2020, v. , p. 322-336.
COLLIRI, TIAGO ; Delbem, Alexandre C. B. ; ZHAO, LIANG ; Predicting the Evolution of COVID-19 Cases and Deaths Through a Correlations-Based Temporal Network. In: . Lecture Notes in Computer Science. : Springer International Publishing, 2020, v. , p. 397-411.
CUPERTINO, THIAGO HENRIQUE ; ZHAO, LIANG ; Bias-Guided Random Walk for Network-Based Data Classification. In: . Lecture Notes in Computer Science. : Springer Berlin Heidelberg, 2013, v. , p. 375-384.
CUPERTINO, THIAGO HENRIQUE ; ZHAO, LIANG ; Semi-Supervised Learning Using Random Walk Limiting Probabilities. In: . Lecture Notes in Computer Science. : Springer Berlin Heidelberg, 2013, v. , p. 395-404.
Breve, Fabricio ; Quiles, Marcos G. ; ZHAO, LIANG ; Interactive Image Segmentation of Non-contiguous Classes Using Particle Competition and Cooperation. In: . Lecture Notes in Computer Science. : Springer International Publishing, 2015, v. , p. 203-216.
Miranda, Vanderlei ; ZHAO, LIANG ; Topological Data Analysis for Time Series Changing Point Detection. In: . Advances in Intelligent Systems and Computing. : Springer International Publishing, 2020, v. 1, p. 194-203.
Louza, Felipe A. ; Telles, Guilherme P. ; Gog, Simon ; ZHAO, LIANG ; Computing Burrows-Wheeler Similarity Distributions for String Collections. In: . Lecture Notes in Computer Science. : Springer International Publishing, 2018, v. , p. 285-296.
LOPES, ALNEU A. ; Bertini, João R. ; Motta, Robson ; ZHAO, LIANG ; Classification Based on the Optimal K-Associated Network. In: Jie Zhou. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. : Springer Berlin Heidelberg, 2009, v. 4, p. 1167-1177.
Breve, Fabricio ; ZHAO, LIANG ; Quiles, Marcos ; Particle Competition in Complex Networks for Semi-supervised Classification. In: Jie Zhou. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. : Springer Berlin Heidelberg, 2009, v. 4, p. 163-174.
L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; Modeling Complex Dynamical Systems for Image Segmentation. In: Yu-Jin Zhang. Advances in Image and Video Segmentation. Hershey, PA, USA: IRM Press (an imprint of Ideal Group Inc.), 2006, v. 1, p. 93-111.
Martins, Luan V. C. ; BUENO, ADRIANA PASSOS ; DEFELICIBUS, ALEXANDRE ; DRUMMOND, RODRIGO D. ; VALIERIS, RENAN ; ZHU, YU-TAO ; DA SILVA, ISRAEL TOJAL ; ZHAO, LIANG ; WSI2ML - An Open-Source Whole Slide Image Annotation Software for Machine Learning Applications. In: WebMedia '23: Brazilian Symposium on Multimedia and the Web, 2023, Ribeirão Preto Brazil, Proceedings of the 29th Brazilian Symposium on Multimedia and the Web, 2023. p. 104-.
ZUNIGA, E. W. V. ; RANIERI, C. M. ; UEYAMA, J. ; ZHU, Y. ; JI, D. ; Zhao, Liang ; Maximizing Portfolio Profitability During a Cryptocurrency Downtrend: A Bitcoin Blockchain Transaction-Based Approach. In: Special INNS Workshop: International Neural Network Society Workshop on Deep Learning Innovations and Application - 2023 International Joint Conference on Neural Networks (IJCNN), 2023, Queensland, Proceedings of Special INNS Workshop: International Neural Network Society Workshop on Deep Learning Innovations and Application2023 - International Conference on Neural Networks (IJCNN 2023), 2023. p. 1-8.
CARNEIRO, MURILLO G. ; RAMOS, CAMILA D. ; DESTRO-FILHO, JOÃO-BATISTA ; ZHU, YU-TAO ; JI, DONGHONG ; ZHAO, LIANG ; High-Level Classification for EEG Analysis. In: 2023 International Joint Conference on Neural Networks (IJCNN), 2023, Gold Coast, 2023 International Joint Conference on Neural Networks (IJCNN), 2023. p. 1-8.
SAIRE, JOSIMAR CHIRE ; ZHAO, LIANG ; Complex Network-Based Data Classification Using Minimum Spanning Tree Metric and Optimization. In: 2023 International Joint Conference on Neural Networks (IJCNN), 2023, Gold Coast, 2023 International Joint Conference on Neural Networks (IJCNN), 2023. p. 1-8.
FERNANDES, JANAYNA M. ; SUZUKI, GUILHERME M. ; ZHAO, LIANG ; CARNEIRO, MURILLO G. ; Data classification via centrality measures of complex networks. In: 2023 International Joint Conference on Neural Networks (IJCNN), 2023, Gold Coast, 2023 International Joint Conference on Neural Networks (IJCNN), 2023. p. 1-8.
JÚNIOR, SÉRGIO BALDO ; CARNEIRO, MURILLO G. ; DESTRO-FILHO, JOÃO-BATISTA ; ZHAO, LIANG ; TINÓS, RENATO ; Classification of coma etiology using convolutional neural networks and long-short term memory networks. In: 2023 International Joint Conference on Neural Networks (IJCNN), 2023, Gold Coast, 2023 International Joint Conference on Neural Networks (IJCNN), 2023. p. 1-8.
ANGHINONI, LEANDRO ; ZHU, YU-TAO ; JI, DONGHONG ; ZHAO, LIANG ; TransGNN: A Transductive Graph Neural Network with Graph Dynamic Embedding. In: 2023 International Joint Conference on Neural Networks (IJCNN), 2023, Gold Coast, 2023 International Joint Conference on Neural Networks (IJCNN), 2023. p. 1-8.
TICONA, W. G. C. ; Zhao, Liang ; Aplicação de Algoritmos Evolutivos Multi-Objetivo para o Alinhamento de Proteínas. In: IV Encontro Nacional de Inteligência Artificial (ENIAC), 2003, , Anais do IV Encontro Nacional de Inteligência Artificial (ENIAC), 2003. p. 1-6.
CHÁVEZ, G. C. ; Zhao, Liang ; Invariant Pattern Recognition by Zernike Moments using a Neural Network. In: XXVIII Latin-American Conference on Informatics (CLEI 2002), 2002, Montevideu, Proceedings of XXVIII Latin-American Conference on Informatics (CLEI 2002), 2002. p. 1-6.
DE PAULA, PAULO HENRIQUE LIMA ; ZHAO, LIANG ; A New Particle Competition Model for Community Detection with Application in Functional Brain Networks. In: 2021 International Joint Conference on Neural Networks (IJCNN), 2021, Shenzhen, 2021 International Joint Conference on Neural Networks (IJCNN), 2021. p. 1-8.
CAO, H. ; LI, J. ; SU, F. ; LI, F. ; FEI, H. ; WU, S. ; LI, B. ; ZHAO, LIANG ; JI, DONGHONG ; OneEE: A One-Stage Framework for Fast Overlapping and Nested Event Extraction. In: 29th International Conference on Computational Linguistics (COLING'2022), 2022, , Proceedings of the 29th International Conference on Computational Linguistics, 2022. p. 1953-1964.
ARROYO, DIANA C. ROCA ; FLOREZ, ALEXANDER CHOQUENAIRA ; FLORES, DANIELA MILON ; ROMERO, ROSELI ; ZHAO, LIANG ; Echo State Network Performance Analysis using Non-random Topologies. In: 2020 IEEE Colombian Conference on Applications of Computational Intelligence (ColCACI), 2020, Cali, 2020 IEEE Colombian Conference on Applications of Computational Intelligence (IEEE ColCACI 2020), 2020. p. 1-6.
ZUNIGA, E. W. V. ; ZHAO, LIANG ; A new network-base high-level data classification methodology (Quipus) by modeling attribute-attribute interactions. In: 2020 International Conference of Digital Transformation and Innovation (INCODTRIN'2020), 2020, Online, Proceedings of 2020 International Conference of Digital Transformation and Innovation (INCODTRIN'2020), 2020. p. 1-5.
ZUÑIGA, ESTEBAN ; ZHAO, LIANG ; A Network-Based High-Level Data Classification Algorithm Using Betweenness Centrality. In: Encontro Nacional de Inteligência Artificial e Computacional, 2020, Brasil, Anais do Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2020), 2020. p. 188-11.
COTACALLAPA, MOSHE ; BERTON, LILIAN ; FERREIRA, LEONARDO N. ; Quiles, Marcos G. ; ZHAO, LIANG ; MACAU, ELBERT E. N. ; VEGA-OLIVEROS, DIDIER A. ; Measuring the engagement level in encrypted group conversations by using temporal networks. In: 2020 International Joint Conference on Neural Networks (IJCNN), 2020, Glasgow, 2020 International Joint Conference on Neural Networks (IJCNN), 2020. p. 1-8.
COLLIRI, TIAGO ; LIU, WEIGUANG ; ZHAO, LIANG ; An Optimized Modularity-Based High Level Classification Model. In: 2020 International Joint Conference on Neural Networks (IJCNN), 2020, Glasgow, 2020 International Joint Conference on Neural Networks (IJCNN), 2020. p. 1-8.
VEGA-OLIVEROS, D. A. ; FERREIRA, L. N. ; QUILES, M. ; MACAU, E. E. N. ; CARDOSO, M. F. ; ZHAO, LIANG ; From spatio-temporal data to chronological networks: An application to wildfire analysis. In: 34th ACM/SIGAPP Symposium on Applied Computing (SAC?19), 2019, , Proceedings of 34th ACM/SIGAPP Symposium on Applied Computing (SAC?19), 2019. p. 1-6.
COLLIRI, T. ; ZHAO, LIANG ; A Network-Based Model for Optimizing Returns in the Stock Market. In: 2019 8th Brazilian Conference on Intelligent Systems (BRACIS), 2019, Salvador, Proceedings of 2019 8th Brazilian Conference on Intelligent Systems (BRACIS), 2019. p. 645-650.
A.RIBEIRO, A. ; MACEDO, A. A. ; LIANG, ZHAO ; A Review of Text-Based and Knowledge-Based Semantic Similarity Measures. In: 5th Symposium on Knowledge Discovery, Mining and Learning (KDMiLe), 2017, Uberlandia, Anais do 5th Symposium on Knowledge Discovery, Mining and Learning (KDMiLe), 2017. p. 19-26.
LOUZA, F. A. ; TELLES, G. P. ; GOG, S. ; LIANG, ZHAO ; Computing Burrows-Wheeler Similarity Distributions for String Collections. In: 2018 International Symposium on String Processing and Information Retrieval (SPIRE 2018), 2018, , Lecture Notes in Computer Science, 2018. p. 285-296.
GAO, XUBO ; ZHENG, QIUSHENG ; VERRI, FILIPE A. N. ; RODRIGUES, RAFAEL D. ; ZHAO, LIANG ; Particle Competition for Multilayer Network Community Detection. In: the 2019 11th International Conference, 2019, Zhuhai, Proceedings of the 2019 11th International Conference on Machine Learning and Computing - ICMLC '19, 2019. p. 75-80.
CARNEIRO, MURILLO G. ; ZHAO, LIANG ; Analysis of Graph Construction Methods in Supervised Data Classification. In: 2018 7th Brazilian Conference on Intelligent Systems (BRACIS), 2018, Sao Paulo, 2018 7th Brazilian Conference on Intelligent Systems (BRACIS), 2018. p. 390-395.
ANGHINONI, LEANDRO ; ZHAO, LIANG ; ZHENG, QIUSHENG ; ZHANG, JUNBO ; Time Series Trend Detection and Forecasting Using Complex Network Topology Analysis. In: 2018 International Joint Conference on Neural Networks (IJCNN), 2018, Rio de Janeiro, 2018 International Joint Conference on Neural Networks (IJCNN), 2018. p. 1-.
COLLIRI, TIAGO ; JI, DONGHONG ; PAN, HENG ; ZHAO, LIANG ; A Network-Based High Level Data Classification Technique. In: 2018 International Joint Conference on Neural Networks (IJCNN), 2018, Rio de Janeiro, 2018 International Joint Conference on Neural Networks (IJCNN), 2018. p. 1-4840.
NETO VERRI, FILIPE ALVES ; TINOS, RENATO ; ZHAO, LIANG ; Feature Learning in Feature-Sample Networks Using Multi-Objective Optimization. In: 2018 IEEE Congress on Evolutionary Computation (CEC), 2018, Rio de Janeiro, 2018 IEEE Congress on Evolutionary Computation (CEC), 2018. p. 1-1635.
CARNEIRO, MURILLO G. ; CUPERTINO, THIAGO H. ; CHENG, RAN ; JIN, YAOCHU ; ZHAO, LIANG ; Nature-Inspired Graph Optimization for Dimensionality Reduction. In: 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI), 2017, Boston, 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI), 2017. p. 1113-1119.
COVOES, THIAGO FERREIRA ; LIANG, ZHAO ; Low and high level classification using stacking. In: 2017 International Joint Conference on Neural Networks (IJCNN), 2017, Anchorage, 2017 International Joint Conference on Neural Networks (IJCNN), 2017. p. 2525-2532.
CARNEIRO, MURILLO G. ; ROSA, JOAO L. G. ; ZHENG, QIUSHENG ; LIU, XIAOMING ; ZHAO, LIANG ; Improving semantic role labeling using high-level classification in complex networks. In: 2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNCFSKD), 2017, Guilin, 2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 2017. p. 2206-2191.
RODRIGUES, RAFAEL D. ; ZHAO, LIANG ; ZHENG, QIUSHENG ; ZHANG, JUNBAO ; Structural outlier detection: A tourist walk approach. In: 2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNCFSKD), 2017, Guilin, 2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 2017. p. 382-371.
R. A. Gueleri ; LIANG, ZHAO ; Image segmentation via superpixels self-organized motion. In: Symposium on Knowledge Discovery, Mining and Learning (KDMILE2016), 2016, Recife, Proceedings of Symposium on Knowledge Discovery, Mining and Learning (KDMILE2016), 2016. p. 1-6.
CARNEIRO, M. G. ; LIANG, ZHAO ; ROSA, J. L. G. ; Graph-Based Semi-Supervised Learning for Semantic Role Diffusion. In: Symposium on Knowledge Discovery, Mining and Learning (KDMILE2016), 2016, RECIFE, Proceedings of Symposium on Knowledge Discovery, Mining and Learning (KDMILE2016), 2016. p. 1-6.
VERRI, FILIPE ALVES NETO ; ZHAO, LIANG ; Random Walk in Feature-Sample Networks for Semi-supervised Classification. In: 2016 5th Brazilian Conference on Intelligent Systems (BRACIS), 2016, Recife, 2016 5th Brazilian Conference on Intelligent Systems (BRACIS), 2016. p. 235-240.
S., ANDRES EDUARDO COCA ; ZHAO, LIANG ; Musical Scales Recognition via Deterministic Walk in a Graph. In: 2016 5th Brazilian Conference on Intelligent Systems (BRACIS), 2016, Recife, 2016 5th Brazilian Conference on Intelligent Systems (BRACIS), 2016. p. 151-156.
CARNEIRO, MURILLO G. ; ZHAO, LIANG ; CHENG, RAN ; JIN, YAOCHU ; Network structural optimization based on swarm intelligence for highlevel classification. In: 2016 International Joint Conference on Neural Networks (IJCNN), 2016, Vancouver, 2016 International Joint Conference on Neural Networks (IJCNN), 2016. p. 3737-0.
TINÓS, RENATO ; LIANG, ZHAO ; CHICANO, FRANCISCO ; WHITLEY, DARRELL ; A New Evaluation Function for Clustering. In: the 2016, 2016, Denver, Proceedings of the 2016 on Genetic and Evolutionary Computation Conference - GECCO '16, 2016. p. 509-516.
Breve, Fabricio ; QUILES, MARCOS GONCALVES ; ZHAO, LIANG ; Interactive image segmentation using particle competition and cooperation. In: 2015 International Joint Conference on Neural Networks (IJCNN), 2015, Killarney, 2015 International Joint Conference on Neural Networks (IJCNN), 2015. p. 1-216.
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. p. 183-190.
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. p. 516-521.
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, 2013. p. 405-412.
ALVES NETO, F. ; ZHAO, LIANG ; On the data classification using complex network entropy. In: Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2014), 2014, São Carlos, Anais de Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2014), 2014. p. 53-58.
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, São Carlos, Anais de Encontro Nacional de Intelig?encia Artificial e Computacional (ENIAC 2014), 2014. p. 347-352.
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, São Carlos, Proceedings of 2014 Brazilian Conference on Intelligent Systems, 2014. p. 396-401.
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, São Carlos, Proceedings of 2014 Brazilian Conference on Intelligent Systems, 2014. p. 354-357.
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, São Carlos, Proceedings of 2014 Brazilian Conference on Intelligent Systems, 2014. p. 234-240.
CUPERTINO, THIAGO H. ; ZHAO, LIANG ; Aprendizado de Máquina via Processo Dinâmico 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. p. 1-6.
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. p. 1-6.
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. p. 1-6.
CUPERTINO, THIAGO H. ; ZHAO, LIANG ; Machine learning via dynamical processes in complex networks. In: Congresso da Sociedade Brasileira da Computação (CSBC 2014), CTD ? XXVII Concurso de Teses e Dissertações, 2014, Brasilia, Anais do Congresso da Sociedade Brasileira da Computação (CSBC 2014), 2014. p. 412-417.
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, 2013. p. 325-332.
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. p. 335-340.
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. p. 507-514.
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. p. 428-434.
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. p. 284-289.
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. p. 46-54.
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. p. 21-27.
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. p. 1729-1736.
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. p. 130-135.
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. p. 124-129.
ALVES NETO, F. ; ZHAO, L ; Extração de Padrões de Imagens de Ultrassonografias Obstétricas 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. p. 77-80.
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), 2012. p. 97-101.
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, 2012. p. 304-310.
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), 2012. p. 565-572.
SILVA, T. C. ; L. ZHAO ; Stochastic Competitive Learning in Complex Networks. In: 10a Conferência Brasileira de Dinâmica, Controle e Aplicações, 2011, Agua de Lindóia, Anais da 10a Conferência Brasileira de Dinâmica, Controle e Aplicações, 2011. p. 47-50.
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. p. 13-21.
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 Inteligência Computacional, 2011, Fortaleza, Anais do X Congresso Brasileiro de Inteligência Computacional, 2011. p. 1-8.
BERTINI JUNIOR, J. R. ; LOPES, A. A. ; L. ZHAO ; Streaming Data Classification with the K-associated Graph. In: X Congresso Brasileiro de Inteligência Computacional, 2011, Fortaleza, Anais do X Congresso Brasileiro de Inteligência Computacional, 2011. p. 1-7.
SILVA, T. C. ; L. ZHAO ; Uncovering Overlapping Structures via Stochastic Competitive Learning. In: Congresso Brasileiro de Inteligência Computacional, 2011, Fortareza, Anais do Congresso Brasileiro de Inteligência Computacional, 2011. p. -.
SILVA, T. C. ; Cupertino T. H. ; L. ZHAO ; High Level Classification in Pattern Recognition. In: XXIV Sibgrapi ? Conference on Graphics, Patterns and Images, 2011, Maceió, Proceedings of the XXIV Sibgrapi ? Conference on Graphics, Patterns and Images, 2011. p. 352-359.
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, Maceió, Proceedings of the XXIV Sibgrapi ? Conference on Graphics, Patterns and Images, 2011. p. 313-320.
SILVA, T. C. ; L. ZHAO ; Semi-Supervised Learning in Complex Networks. In: VIII Encontro Nacional de Inteligência Artificial (ENIA2011), 2011, Natal, XXX Congresso da Sociedade Brasileira de Computação, 2011. p. 406-417.
R. A. Gueleri ; L. ZHAO ; Agrupamento de Dados Baseado em Dinâmica de Troca de Energia. In: VIII Encontro Nacional de Inteligência Artificial (ENIA2011), 2011, Natal, XXX Congresso da Sociedade Brasileira de Computação, 2011. p. 418-429.
BERTON, L. ; L. ZHAO ; Caracterização de Classes via Otimização em Redes Complexas. In: VIII Encontro Nacional de Inteligência Artificial (ENIA2011), 2011, Natal, XXX Congresso da Sociedade Brasileira de Computação, 2011. p. 548-559.
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. p. 3220-3226.
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. p. 307-313.
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. p. 45-52.
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, 2011. p. 426-433.
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, São Bernardo do Campo, Proceedings of the XI Brazilian Symposium on Artificial Neural Network, 2010. p. 97-102.
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. p. 2891-2896.
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. p. 3686-3693.
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. p. 2517-2524.
SALAZAR, A. E. C. ; TOST, G. O. ; L. ZHAO ; Controlling chaotic melodies. In: IV Encuentro Nacional de Investigación en Posgrados, 2009, Bogotá, Anais de IV Encuentro Nacional de Investigación en Posgrados, 2009. p. -7.
BREVE, F. A. ; L. ZHAO ; QUILES, M. ; 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), 2009, Shanghai, Proceedings of the 2009 International Conference on Artificial Intelligence and Computational Intelligence (AICI'09), 2009. p. 619-628.
Quiles, Marcos G. ; L. ZHAO ; BREVE, F. A. ; ROMERO, R. F. ; Detecção de comunidades em redes complexas: um modelo de correlação oscilatória. In: Encontro Nacional de Inteligência Artificial (ENIA2009), 2009, Bento Gonçalves, XXX Congresso da Sociedade Brasileira de Computação, 2009. p. 889-898.
BREVE, F. A. ; L. 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. p. 383-390.
QUILES, M. ; WANG, D. ; L. 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), 2009. p. 2596-2602.
QUILES, M. ; BREVE, F. A. ; ROMERO, R. F. ; L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; Visual Selection with Feature Contrast-Based Inhibition in a Network of Integrate and Fire Neurons. 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. p. 601-605.
OLIVEIRA, T. B. S. ; L. ZHAO;Zhao, L.;ZHAO, LIANG;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. p. 604-608.
OLIVEIRA, T. B. S. ; L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; FACELI, K. ; CARVALHO, André C. P. L. F. de ; 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), 2008. p. 2121-2126.
SILVA, T. C. ; L. ZHAO;Zhao, L.;ZHAO, LIANG;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, 2007. p. 925-930.
CORREA, L. C. ; DELBEM, A. C. B. ; L. ZHAO;Zhao, L.;ZHAO, LIANG;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, 2007. p. 539-544.
QUILES, M. ; BREVE, F. A. ; L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, 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, 2007. p. 919-924.
L. ZHAO;Zhao, L.;ZHAO, LIANG;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), 2007. p. 754-759.
QUILES, M. ; L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, 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, International Joint Conference on Neural Networks. Proceedings, 2007. p. 1726-1731.
L. ZHAO;Zhao, L.;ZHAO, LIANG;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, International Joint Conference on Neural Networks. Proceedings, 2007. p. 1408-1413.
Cupertino T. H. ; L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; Determining Optimal Structure of Data Traffic Flow Networks. In: International Joint Conference 2006, Workshop of Compoutitional Intelligence, 2006, Ribeirão Preto, Proceedings of the Workshop of Compoutitional Intelligence, 2006. p. 1-6.
L. ZHAO;Zhao, L.;ZHAO, LIANG;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, Canadá, Proceedings of the 2006 International Joint Conference on Neural Networks, 2006. p. -.
QUILES, M. ; ROMERO, R. F. ; L. ZHAO;Zhao, L.;ZHAO, LIANG;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, Ribeirão Preto, Proceedings of The 9th Brazilian Symposium on Artificial Neural Networks (SBRN2006), 2006. p. 78-84.
L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; Lattice Synchronization of Neural Oscillators for Scene Segmentation. In: The 9th Brazilian Symposium on Artificial Neural Networks (SBRN2006), 2006, Ribeirão Preto, Proceedings of The 9th Brazilian Symposium on Artificial Neural Networks (SBRN2006), 2006. p. 15-20.
L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; LAI, Ying-cheng ; PARK, Kwangho ; Protecting complex networks against cascading breakdown. In: 4º Congresso Temático de Dinâmica, Controle e Aplicações, 2005, Bauru, Anais de 4º Congresso Temático de Dinâmica, Controle e Aplicações, 2005. p. 1518-1524.
L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; DAMIANCE JR., Antonio P. G. ; CARVALHO, André C. P. L. F. de ; A self-organized network for data clustering. In: 2005 International Conference on Natural Computation (ICNC'05), 2005, Changsha, Lecture Notes on Computer Science, 2005. p. 1189-1198.
L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; CANCINO, W. ; CARVALHO, André C. P. L. F. de ; Aplicacao de Algoritmos Evolutivos Multi-Objetivo para o Alinhamento de Proteinas. In: IV Econtro Nacional de Inteligencia Artificial (IV ENIA), 2003, Campinas, Anais do IV Econtro Nacional de Inteligencia Artificial, 2003. p. 297-306.
L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; MACAU, E. E. N. ; A biologically motivated paradigm for scene segmentation. In: The 45th IEEE International Midwest Symposium on Circuits and Systems (IEEE MWSCAS-2002), 2002, Tulsa, Oklahoma, Proceedings of the 45th IEEE International Midwest Symposium on Circuits and Systems, 2002. p. 408-411.
L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; DAMIANCE JR., Antonio P. G. ; FURUKAWA, R. A. ; CARVALHO, André C. P. L. F. de ; A Dynamical Model for Multi-Scale Pixel Clustering. In: 2003 International Joint Conference on Neural Networks (IJCNN2003), 2003, Portland, Oregon, Proceedings of 2003 International Joint Conference on Neural Netwoks, 2003. p. 1569-1573.
L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; CACERES, J. C. G. ; SZU, H. ; Chaotic Associative Recalls for Fixed Point Attractor Patterns. In: 2003 International Joint Conference on Neural Networks (IJCNN2003), 2003, Portland, Oregon, Proceedings of 2003 International Joint Conference on Neural Networks (IJCNN2003), 2003. p. 841-845.
L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; FURUKAWA, R. A. ; CARVALHO, André C. P. L. F. de ; A Network of Globally Coupled Chaotic Maps for Adaptive Multi-Resolution Image Segmentation. In: SBRN'2002 - VII BRAZILIAN SYMPOSIUM ON NEURAL NETWORKS, 2002, Recife, Proceedings of VII BRAZILIAN SYMPOSIUM ON NEURAL NETWORKS, 2002. p. 92-97.
Araujo Finho J. E. ; PORTELA, A. ; SILVA, R. E. ; Terra M. O. ; L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; MACAU, E. E. N. ; Automatic System for Measurement and Alignment in Industrial Video Color Monitor Manufacturing Process. In: 5o CONGRESO INTERAMERICANO DE COMPUTACION APLICADA A LA INDUSTRIA DE PROCESOS, 2001, La Serena, Computacion Aplicada a la Industria de Procesos, 2001. p. 404-407.
L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; Sincronização do Caos e Segmentação de Cenários. In: 13th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI'2000), 2000, Gramado, Nota de tutorial, 2000. p. -.
L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; Scene segmentation by chaotic synchronization and desynchronization. In: First IEEE International Workshop on Biologically Motivated Computer Vision (BMCV'2000), 2000, Seoul, Korea do Sul., Lecture Notes on Computer Science, 2000. p. 473-481.
L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; A Dynamically Coupled Chaotic Oscillatory Correlation Network. In: VIth BRAZILIAN SYMPOSIUM ON NEURAL NETWORKS, 2000, Rio de Janeiro, Proceedings of VIth BRAZILIAN SYMPOSIUM ON NEURAL NETWORKS, 2000. p. 66-71.
LI, Z. ; L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; SOMA, N. Y. ; Fractal color image compression. In: XIII Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2000), 2000, Gramado, Proceedings of XIII Brazilian Symposium on Computer Graphics and Image Processing, 2000. p. 185-192.
LI, Z. ; SOMA, N. Y. ; L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; Hierarchical Block Coding for Fractal Color Image Compression. In: VI Simposio Brasileiro de Sistemas Multimidia e Hipermidia, 2000, Natal, Anais do VI Simposio Brasileiro de Sistemas Multimidia e Hipermidia, 2000. p. 291-301.
L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; OMAR, N. ; A network with chaotic oscillators. In: IV Simpósio Brasileiro de Redes Neurais, 1997, Goiania, Anais do IV Simpósio Brasileiro de Redes Neurais, 1997. p. 115-117.
LI, Z. ; SOMA, N. Y. ; L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; A review of fractal image compression. In: WORKCOMP'99 - Workshop de computação, 1999, Sao Jose dos Campos, Anais do WORKCOMP'99, 1999. p. 23-28.
L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; CHIAN, A. C. L. ; OMAR, N. ; Sptiotemporal dynamics of globally coupled chaotic neural oscillators. In: 3rd biennial international engineering mathematics and applications conference, 1998, Adalaide, Proceedings of 3rd biennial international mathematics and applications conference, 1998. p. 543-545.
L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; CHIAN, A. C. L. ; Locally excitatory chaotic neural oscillator network. In: iizuka'98 - International conference on soft computing and information/inteligent systems, 1998, iizuka, Methogologies for the conception, design and application of soft computing, 1998. p. 615-618.
L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; OMAR, N. ; MACAU, E. E. N. ; Locally coupled chaotic oscillator network for scene segmentation. In: IJCNN'99 - International Joint Conference on Neural Networks, 1999, Washington DC, Proceedings of IJCNN'99, 1999. p. -.
SILVA, THIAGO CHRISTIANO ; Zhao, Liang ; LI, Z. ; YANG, M. ; CHEN, X. ; 基于复杂网络的机器学习方法 (Chinese version of the book 'Machine Learning in Complex Networks'). 1. ed. : 2018. v. 1.
WANG, L. ; Zhao, Liang ; Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019). 1. ed. : 2020. v. 2.
COSTA, A. H. R. ; APPEL, A. P. ; Zhao, Liang ; CARNEIRO, M. G. ; Recent Advances in Artificial and Computational Intelligence - Special Issue in Theoretical Computer Science. 1. ed. : 2020.
TABAK, B. M. ; SILVA, THIAGO CHRISTIANO ; Zhao, Liang ; Applications of Machine Learning Methods in Complex Economics and Financial Networks. 1. ed. : 2020.
COSTA, A. H. R. ; LIANG, ZHAO ; Prceedings of 2018 7th Brazilian Conference on Intelligent Systems. 1. ed. : 2018. v. 1. 576p.
LIU, Y. ; LIANG, ZHAO ; CAI, G. ; XIAO, G. ; LI, K. ; WANG, L. ; Proceedings of 2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD). 1. ed. : 2017. v. 1. 3270p.
Christiano Silva, Thiago ; ZHAO, LIANG ; Machine Learning in Complex Networks. 1. ed. : 2016. v. 1. 348p.
L. ZHAO ; GUO, M. ; WANG, L. ; Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special Issue in journal Soft Computing. 1. ed. Berlin: 2008. v. 1. 107p.
GUO, M. ; L. ZHAO;Zhao, L.;ZHAO, LIANG;LIANG, ZHAO ; WANG, L. ; Proceedings of the 4th International Conference on Natural Computation. 1. ed. Los Alamitos: 2008. v. 7. 4905p.
Curso | Disciplina | Horário | Local | Período |
Matemática Aplicada a Negócios | Introdução a Computação I | 14:00 às 16:00 | DE-24 | De 27/02/2024 à 30/04/2024 |
Curso | Disciplina | Horário | Local | Período |
Matemática Aplicada a Negócios | Introdução a Computação I | 08:00 às 10:00 | Laboratório de Informática 600 | De 27/02/2024 à 30/04/2024 |
Ciência da Computação | Introdução a Computação I | 10:00 às 12:00 | Laboratório de Informática 600 | De 29/02/2024 à 28/06/2024 |
Curso | Disciplina | Horário | Local | Período |
Ciência da Computação | Introdução a Computação I | 08:00 às 10:00 | 502 | De 29/02/2024 à 28/06/2024 |