Locally excitatory chaotic oscillator network for scene segmentation. - Liang Zhao 001 (1998)

Scene Segmentation by Chaotic Synchronization and Desynchronization. - Liang Zhao 001 (Biologically Motivated Computer Vision, 2000)

A Dynamically Coupled Chaotic Oscillatory Correlation Network. - Liang Zhao 001 (SBRN, 2000)

Fractal Color Image Compression. - Zhaohui Li; Liang Zhao 001; Nei Yoshihiro Soma (SIBGRAPI, 2000)

Scene Segmentation of the Chaotic oscillator Network. - Liang Zhao 001; Elbert E. N. Macau; Nizam Omar (Int. J. Bifurc. Chaos, 2000)

A network of dynamically coupled chaotic maps for scene segmentation. - Liang Zhao 001; Elbert E. N. Macau (IEEE Trans. Neural Networks, 2001)

A Network of Globally Coupled Chaotic Maps for Adaptive Multi-Resolution Image Segmentation. - Liang Zhao 001; Rogerio A. Furukawa; André Carlos Ponce de Leon Ferreira de Carvalho (SBRN, 2002)

Chaotic associative recalls for fixed point attractor patterns. - Liang Zhao 001; Juan C. G. Cáceres; Harold Szu (IJCNN, 2003)

A dynamical model for multi-scale pixel clustering. - Liang Zhao 001; Antonio P. G. Damiance; Rogerio A. Furukawa; André C. P. L. F. de Carvalho (IJCNN, 2003)

A Network of Coupled Chaotic Maps for Adaptive Multi-Scale Image Segmentation. - Liang Zhao 001; Rogerio A. Furukawa; André Carlos Ponce de Leon Ferreira de Carvalho (Int. J. Neural Syst., 2003)

A dynamical model with adaptive pixel moving for microarray images segmentation. - Antonio P. G. Damiance; Liang Zhao 001; André Carlos Ponce de Leon Ferreira de Carvalho (Real Time Imaging, 2004)

Pixel clustering by adaptive pixel moving and chaotic synchronization. - Liang Zhao 001; André Carlos Ponce de Leon Ferreira de Carvalho; Zhaohui Li (IEEE Trans. Neural Networks, 2004)

A Self-organized Network for Data Clustering. - Liang Zhao 001; Antonio P. G. Damiance; André Carlos Ponce de Leon Ferreira de Carvalho (ICNC (1), 2005)

A Pulse-Coupled Neural Network as A Simplified Bottom-Up Visual Attention Model. - Marcos G. Quiles; Roseli A. Francelin Romero; Liang Zhao 001 (SBRN, 2006)

Chaotic dynamics for multi-value content addressable memory. - Liang Zhao 001; Juan C. G. Cáceres; Antonio P. G. Damiance; Harold Szu (Neurocomputing, 2006)

Visual Selection and Shifting Mechanisms Based on a Network of Chaotic Wilson-Cowan Oscillators. - Liang Zhao 001; Fabricio A. Breve; Marcos G. Quiles; Roseli A. F. Romero (ICNC (5), 2007)

A Visual Selection Mechanism Based on a Pulse-Coupled Neural Network. - Marcos G. Quiles; Liang Zhao 001; Roseli A. Francelin Romero (IJCNN, 2007)

A Network of Dynamically Coupled Elements for Pixel Clustering. - Liang Zhao 001; Marcos G. Quiles; Antonio P. G. Damiance; Roseli A. Francelin Romero (IJCNN, 2007)

Associative Memories Using Cellular Neural Networks. - Leonardo Garcia Correa; Alexandre C. B. Delbem; Liang Zhao 001 (ISDA, 2007)

A Visual Selection Mechanism Based on Network of Chaotic Wilson-Cowan Oscillators. - Marcos G. Quiles; Fabricio A. Breve; Liang Zhao 001; Roseli A. Francelin Romero (ISDA, 2007)

Pixel Clustering by Using Complex Network Community Detection Technique. - Thiago C. Silva 001; Liang Zhao 001 (ISDA, 2007)

Attack Induced Cascading Breakdown in Complex Networks. - Liang Zhao 001; Kwangho Park; Ying-Cheng Lai; Thiago Henrique Cupertino (J. Braz. Comput. Soc., 2007)

Data clustering based on complex network community detection. - Tatyana B. S. de Oliveira; Liang Zhao 001; Katti Faceli; André Carlos Ponce de Leon Ferreira de Carvalho (IEEE Congress on Evolutionary Computation, 2008)

Complex Network Community Detection Based on Swarm Aggregation. - Tatyana B. S. de Oliveira; Liang Zhao 001 (ICNC (7), 2008)

Visual Selection with Feature Contrast-Based Inhibition in a Network of Integrate and Fire Neurons. - Marcos G. Quiles; Fabricio A. Breve; Roseli A. F. Romero; Liang Zhao 001 (ICNC (3), 2008)

Chaotic synchronization in 2D lattice for scene segmentation. - Liang Zhao 001; Fabricio Aparecido Breve (Neurocomputing, 2008)

Chaotic synchronization in general network topology for scene segmentation. - Liang Zhao 001; Thiago Henrique Cupertino; João Roberto Bertini Jr. (Neurocomputing, 2008)

Uncovering Overlap Community Structure in Complex Networks Using Particle Competition. - Fabricio A. Breve; Liang Zhao 001; Marcos G. Quiles (AICI, 2009)

Particle Competition in Complex Networks for Semi-supervised Classification. - Fabricio A. Breve; Liang Zhao 001; Marcos G. Quiles (Complex (1), 2009)

Classification Based on the Optimal K-Associated Network. - Alneu de Andrade Lopes; João R. Bertini; Robson Motta; Liang Zhao 001 (Complex (1), 2009)

Chaotic phase synchronization for visual selection. - Fabricio A. Breve; Liang Zhao 001; Marcos G. Quiles; Elbert E. N. Macau (IJCNN, 2009)

An oscillatory correlation model of object-based attention. - Marcos G. Quiles; DeLiang Wang; Liang Zhao 001; Roseli A. Francelin Romero; De-Shuang Huang (IJCNN, 2009)

Design of associative memories using cellular neural networks. - Alexandre C. B. Delbem; Leonardo Garcia Correa; Liang Zhao 001 (Neurocomputing, 2009)

A network of integrate and fire neurons for visual selection. - Marcos G. Quiles; Liang Zhao 001; Fabricio A. Breve; Roseli A. Francelin Romero (Neurocomputing, 2009)

Chaotic phase synchronization and desynchronization in an oscillator network for object selection. - Fabricio A. Breve; Liang Zhao 001; Marcos G. Quiles; Elbert E. N. Macau (Neural Networks, 2009)

Editorial. - Liang Zhao 001; Maozu Guo 001; Lipo Wang (Soft Comput., 2009)

Identifying abnormal nodes in complex networks by using random walk measure. - Lilian Berton; Jean Huertas; Bilzã Araújo; Liang Zhao 001 (IEEE Congress on Evolutionary Computation, 2010)

Traffic Congestion on Clustered Random Complex Networks. - Thiago Henrique Cupertino; Liang Zhao 001 (CompleNet, 2010)

Semi-supervised learning from imperfect data through particle cooperation and competition. - Fabricio A. Breve; Liang Zhao 001; Marcos G. Quiles (IJCNN, 2010)

Label propagation through neuronal synchrony. - Marcos G. Quiles; Liang Zhao 001; Fabricio A. Breve; Anderson Rocha 001 (IJCNN, 2010)

Identifying Abnormal Nodes in Protein-Protein Interaction Networks. - Bilzã Araújo; Francisco Aparecido Rodrigues; Thiago C. Silva 001; Liang Zhao 001 (SBRN, 2010)

Generation of composed musical structures through recurrent neural networks based on chaotic inspiration. - Andres E. Coca; Roseli A. F. Romero; Liang Zhao 001 (IJCNN, 2011)

Controlled consensus time for community detection in complex networks. - Jean Huertas; Liang Zhao 001 (IJCNN, 2011)

Network-based learning through particle competition for data clustering. - Thiago C. Silva 001; Liang Zhao 001 (IJCNN, 2011)

Particle Competition and Cooperation for Uncovering Network Overlap Community Structure. - Fabricio A. Breve; Liang Zhao 001; Marcos G. Quiles; Witold Pedrycz; Jiming Liu 001 (ISNN (3), 2011)

Stochastic Competitive Learning Applied to Handwritten Digit and Letter Clustering. - Thiago C. Silva 001; Thiago Henrique Cupertino; Liang Zhao 001 (SIBGRAPI, 2011)

High Level Classification for Pattern Recognition. - Thiago C. Silva 001; Thiago Henrique Cupertino; Liang Zhao 001 (SIBGRAPI, 2011)

A nonparametric classification method based on K-associated graphs. - João Roberto Bertini Jr.; Liang Zhao 001; Robson Motta; Alneu de Andrade Lopes (Inf. Sci., 2011)

Selecting salient objects in real scenes: An oscillatory correlation model. - Marcos G. Quiles; DeLiang Wang; Liang Zhao 001; Roseli A. Francelin Romero; De-Shuang Huang (Neural Networks, 2011)

Stochastic Resonance in Excitable Neuronal System with Phase-Noise. - Xiaoming Liang; Liang Zhao 001 (BICS, 2012)

Model of top-down / bottom-up visual attention for location of salient objects in specific domains. - Alcides X. Benicasa; Liang Zhao 001; Roseli A. F. Romero (IJCNN, 2012)

Particle competition and cooperation in networks for semi-supervised learning with concept drift. - Fabricio A. Breve; Liang Zhao 001 (IJCNN, 2012)

QK-Means: A clustering technique based on community detection and K-Means for deployment of cluster head nodes. - Leonardo Nascimento Ferreira; A. R. Pinto; Liang Zhao 001 (IJCNN, 2012)

Detecting overlapping structures via network-based competitive learning. - Thiago C. Silva 001; Liang Zhao 001 (IJCNN, 2012)

Preventing Error Propagation in Semi-supervised Learning. - Thiago C. Silva 001; Liang Zhao 001 (ISNN (1), 2012)

Robustness Analysis of Network-Based Semi-supervised Learning Algorithms. - Bilzã Araújo; Liang Zhao 001 (SBRN, 2012)

An Object-Based Visual Selection Model with Bottom-Up and Top-Down Modulations. - Alcides X. Benicasa; Marcos G. Quiles; Liang Zhao 001; Roseli A. F. Romero (SBRN, 2012)

Particle Competition and Cooperation to Prevent Error Propagation from Mislabeled Data in Semi-supervised Learning. - Fabricio A. Breve; Liang Zhao 001 (SBRN, 2012)

Using Interacting Forces to Perform Semi-supervised Learning. - Thiago Henrique Cupertino; Liang Zhao 001 (SBRN, 2012)

Using Katz Centrality to Classify Multiple Pattern Transformations. - Thiago Henrique Cupertino; Liang Zhao 001 (SBRN, 2012)

An Energy Exchanging Mechanism for Data Clustering. - Roberto Alves Gueleri; Liang Zhao 001 (SBRN, 2012)

Firing Activity Induced by Nonidentical Signal Phases in Two Coupled Excitable Neurons. - Xiaoming Liang; Liang Zhao 001 (SBRN, 2012)

Semi-supervised learning guided by the modularity measure in complex networks. - Thiago C. Silva 001; Liang Zhao 001 (Neurocomputing, 2012)

Partially labeled data stream classification with the semi-supervised K-associated graph. - João Roberto Bertini Jr.; Alneu de Andrade Lopes; Liang Zhao 001 (J. Braz. Comput. Soc., 2012)

Phase-disorder-induced firing activity in excitable neuronal networks with attractive and repulsive coupling. - Xiaoming Liang; Liang Zhao 001 (Neural Networks, 2012)

Detecting and Preventing Error Propagation via Competitive Learning. - Thiago Christiano Silva 001; Liang Zhao 001 (INNS-WC, 2012)

Particle Competition and Cooperation in Networks for Semi-Supervised Learning. - Fabricio A. Breve; Liang Zhao 001; Marcos G. Quiles; Witold Pedrycz; Jiming Liu 001 (IEEE Trans. Knowl. Data Eng., 2012)

Enhancing Weak Signal Transmission Through a Feedforward Network. - Xiaoming Liang; Liang Zhao 001; Zonghua Liu (IEEE Trans. Neural Networks Learn. Syst., 2012)

Stochastic Competitive Learning in Complex Networks. - Thiago Christiano Silva 001; Liang Zhao 001 (IEEE Trans. Neural Networks Learn. Syst., 2012)

Network-Based Stochastic Semisupervised Learning. - Thiago Christiano Silva 001; Liang Zhao 001 (IEEE Trans. Neural Networks Learn. Syst., 2012)

Network-Based High Level Data Classification. - Thiago Christiano Silva 001; Liang Zhao 001 (IEEE Trans. Neural Networks Learn. Syst., 2012)

A Network-Based Semi-supervised Outlier Detection Technique Using Particle Competition and Cooperation. - Fabio Willian Zamoner; Liang Zhao 001 (BRACIS, 2013)

Ensemble of complete P-partite graph classifiers for non-stationary environments. - João R. Bertini; Maria do Carmo Nicoletti; Liang Zhao 001 (IEEE Congress on Evolutionary Computation, 2013)

Attribute-based Decision Graphs for multiclass data classification. - João Roberto Bertini Jr.; Maria do Carmo Nicoletti; Liang Zhao 001 (IEEE Congress on Evolutionary Computation, 2013)

Top-Down Biasing and Modulation for Object-Based Visual Attention. - Alcides Xavier Benicasa; Marcos G. Quiles; Liang Zhao 001; Roseli A. F. Romero (ICONIP (3), 2013)

Detecting and labeling representative nodes for network-based semi-supervised learning. - Bilzã Araújo; Liang Zhao 001 (IJCNN, 2013)

Computer-aided music composition with LSTM neural network and chaotic inspiration. - Andres E. Coca; Débora C. Corrêa; Liang Zhao 001 (IJCNN, 2013)

High level data classification based on network entropy. - Filipe Alves Neto Verri; Liang Zhao 001 (IJCNN, 2013)

Investigation of complex dynamics in a recurrent neural network with network community structure and asymmetric weight matrix. - Fabiano Berardo de Sousa; Liang Zhao 001 (IJCNN, 2013)

Bias-Guided Random Walk for Network-Based Data Classification. - Thiago Henrique Cupertino; Liang Zhao 001 (ISNN (2), 2013)

Semi-Supervised Learning Using Random Walk Limiting Probabilities. - Thiago Henrique Cupertino; Liang Zhao 001 (ISNN (2), 2013)

A Purity Measure Based Transductive Learning Algorithm. - João Roberto Bertini Jr.; Liang Zhao 001 (ISNN (2), 2013)

High Level Pattern Classification via Tourist Walks in Networks - Thiago Christiano Silva 001; Liang Zhao 001 (CoRR, 2013)

Data clustering using controlled consensus in complex networks. - Thiago Henrique Cupertino; Jean Huertas; Liang Zhao 001 (Neurocomputing, 2013)

An incremental learning algorithm based on the K-associated graph for non-stationary data classification. - João Roberto Bertini Jr.; Liang Zhao 001; Alneu de Andrade Lopes (Inf. Sci., 2013)

Uncovering overlapping cluster structures via stochastic competitive learning. - Thiago Christiano Silva 001; Liang Zhao 001 (Inf. Sci., 2013)

Handwritten Data Clustering Using Agents Competition in Networks. - Thiago C. Silva 001; Liang Zhao 001; Thiago Henrique Cupertino (J. Math. Imaging Vis., 2013)

Classification of multiple observation sets via network modularity. - Thiago Henrique Cupertino; Thiago C. Silva 001; Liang Zhao 001 (Neural Comput. Appl., 2013)

Fuzzy community structure detection by particle competition and cooperation. - Fabricio A. Breve; Liang Zhao 001 (Soft Comput., 2013)

Phase-Noise-Induced Resonance in Arrays of Coupled Excitable Neural Models. - Xiaoming Liang; Liang Zhao 001 (IEEE Trans. Neural Networks Learn. Syst., 2013)

An Object-Based Visual Selection Model Combining Physical Features and Memory. - Alcides Xavier Benicasa; Marcos G. Quiles; Thiago C. Silva 001; Liang Zhao 001; Roseli A. Francelin Romero (BRACIS, 2014)

Detecting Time Series Periodicity Using Complex Networks. - Leonardo Nascimento Ferreira; Liang Zhao 001 (BRACIS, 2014)

Rhythmic Pattern Extraction by Community Detection in Complex Networks. - Andres Eduardo Coca Salazar; Liang Zhao 001 (BRACIS, 2014)

Recognizing Fractal Patterns Using a Ring of Phase Oscillators. - Fabio Alessandro Oliveira da Silva; Liang Zhao 001 (BRACIS, 2014)

Evaluating and Comparing the IGraph Community Detection Algorithms. - Fabiano Berardo de Sousa; Liang Zhao 001 (BRACIS, 2014)

Imputation of missing data supported by Complete p-Partite attribute-based Decision Graphs. - João Roberto Bertini Jr.; Maria do Carmo Nicoletti; Liang Zhao 001 (IJCNN, 2014)

K-associated optimal network for graph embedding dimensionality reduction. - Murillo G. Carneiro; Thiago Henrique Cupertino; Liang Zhao 001 (IJCNN, 2014)

A flocking-like technique to perform semi-supervised learning. - Roberto Alves Gueleri; Thiago Henrique Cupertino; André Carlos Ponce de Leon Ferreira de Carvalho; Liang Zhao 001 (IJCNN, 2014)

A semi-supervised classification technique based on interacting forces. - Thiago Henrique Cupertino; Roberto Alves Gueleri; Liang Zhao 001 (Neurocomputing, 2014)

Effect of nonidentical signal phases on signal amplification of two coupled excitable neurons. - Xiaoming Liang; Liang Zhao 001 (Neurocomputing, 2014)

Network-based data classification: combining K-associated optimal graphs and high-level prediction. - Murillo G. Carneiro; João Luís Garcia Rosa; Alneu de Andrade Lopes; Liang Zhao 001 (J. Braz. Comput. Soc., 2014)

Interactive Image Segmentation of Non-contiguous Classes Using Particle Competition and Cooperation. - Fabricio A. Breve; Marcos G. Quiles; Liang Zhao 001 (ICCSA (1), 2015)

Semi-supervised learning by edge domination in complex networks. - Paulo Roberto Urio; Filipe Alves Neto Verri; Liang Zhao 001 (ICNC, 2015)

Interactive image segmentation using particle competition and cooperation. - Fabricio A. Breve; Marcos Gonçalves Quiles; Liang Zhao 001 (IJCNN, 2015)

A Time Series Clustering Technique based on Community Detection in Networks. - Leonardo Nascimento Ferreira; Liang Zhao 001 (INNS Conference on Big Data, 2015)

Particle competition and cooperation for semi-supervised learning with label noise. - Fabricio A. Breve; Liang Zhao 001; Marcos G. Quiles (Neurocomputing, 2015)

Network-based supervised data classification by using an heuristic of ease of access. - Thiago Henrique Cupertino; Liang Zhao 001; Murillo G. Carneiro (Neurocomputing, 2015)

High-level pattern-based classification via tourist walks in networks. - Thiago Christiano Silva 001; Liang Zhao 001 (Inf. Sci., 2015)

Machine Learning in Complex Networks - Thiago Christiano Silva 001; Liang Zhao 001 (Springer, 2016)

Musical Scales Recognition via Deterministic Walk in a Graph. - Andres Eduardo Coca Salazar; Liang Zhao 001 (BRACIS, 2016)

Random Walk in Feature-Sample Networks for Semi-supervised Classification. - Filipe Alves Neto Verri; Liang Zhao 001 (BRACIS, 2016)

A New Evaluation Function for Clustering: The NK Internal Validation Criterion. - Renato Tinós; Liang Zhao 001; Francisco Chicano; L. Darrell Whitley (GECCO, 2016)

Network structural optimization based on swarm intelligence for highlevel classification. - Murillo G. Carneiro; Liang Zhao 001; Ran Cheng; Yaochu Jin (IJCNN, 2016)

Network Unfolding Map by Edge Dynamics Modeling. - Filipe Alves Neto Verri; Paulo Roberto Urio; Liang Zhao 001 (CoRR, 2016)

Data heterogeneity consideration in semi-supervised learning. - Bilzã Araújo; Liang Zhao 001 (Expert Syst. Appl., 2016)

An embedded imputation method via Attribute-based Decision Graphs. - João Roberto Bertini Jr.; Maria do Carmo Nicoletti; Liang Zhao 001 (Expert Syst. Appl., 2016)

An object-based visual selection framework. - Alcides X. Benicasa; Marcos G. Quiles; Thiago C. Silva 001; Liang Zhao 001; Roseli A. F. Romero (Neurocomputing, 2016)

Semi-Supervised Classification by Particle Competition in Complex Network's Edges. - Paulo Roberto Urio; Filipe Alves Neto Verri; Liang Zhao 001 (Int. J. Pattern Recognit. Artif. Intell., 2016)

Time series clustering via community detection in networks. - Leonardo Nascimento Ferreira; Liang Zhao 001 (Inf. Sci., 2016)

Musical rhythmic pattern extraction using relevance of communities in networks. - Andres Eduardo Coca Salazar; Liang Zhao 001 (Inf. Sci., 2016)

A Network of Neural Oscillators for Fractal Pattern Recognition. - Fabio Alessandro Oliveira da Silva; Liang Zhao 001 (Neural Process. Lett., 2016)

Improving semantic role labeling using high-level classification in complex networks. - Murillo G. Carneiro; João Luís Garcia Rosa; Qiusheng Zheng; Xiaoming Liu; Liang Zhao 001 (ICNC-FSKD, 2017)

Structural outlier detection: A tourist walk approach. - Rafael D. Rodrigues; Liang Zhao 001; Qiusheng Zheng; Junbao Zhang (ICNC-FSKD, 2017)

Nature-Inspired Graph Optimization for Dimensionality Reduction. - Murillo G. Carneiro; Thiago Henrique Cupertino; Ran Cheng; Yaochu Jin; Liang Zhao 001 (ICTAI, 2017)

Low and high level classification using stacking. - Thiago Ferreira Covoes; Liang Zhao 001 (IJCNN, 2017)

Semi-supervised Semantic Role Labeling for Brazilian Portuguese. - Murillo G. Carneiro; Thiago Henrique Cupertino; Liang Zhao 001; João Luís Garcia Rosa (J. Inf. Data Manag., 2017)

Attribute-based Decision Graphs: A framework for multiclass data classification. - João Roberto Bertini Jr.; Maria do Carmo Nicoletti; Liang Zhao 001 (Neural Networks, 2017)

Analysis of Graph Construction Methods in Supervised Data Classification. - Murillo G. Carneiro; Liang Zhao 001 (BRACIS, 2018)

Feature Learning in Feature-Sample Networks Using Multi-Objective Optimization. - Filipe Alves Neto Verri; Renato Tinós; Liang Zhao 001 (CEC, 2018)

Time Series Trend Detection and Forecasting Using Complex Network Topology Analysis. - Leandro Anghinoni; Liang Zhao 001; Qiusheng Zheng; Junbo Zhang (IJCNN, 2018)

A Network-Based High Level Data Classification Technique. - Tiago Colliri; Donghong Ji; Heng Pan; Liang Zhao 001 (IJCNN, 2018)

Computing Burrows-Wheeler Similarity Distributions for String Collections. - Felipe A. Louza; Guilherme P. Telles; Simon Gog; Liang Zhao 001 (SPIRE, 2018)

Network community detection via iterative edge removal in a flocking-like system. - Filipe Alves Neto Verri; Roberto Alves Gueleri; Qiusheng Zheng; Junbao Zhang; Liang Zhao 001 (CoRR, 2018)

A scheme for high level data classification using random walk and network measures. - Thiago Henrique Cupertino; Murillo Guimarães Carneiro; Qiusheng Zheng; Junbao Zhang; Liang Zhao 001 (Expert Syst. Appl., 2018)

NK Hybrid Genetic Algorithm for Clustering. - Renato Tinós; Liang Zhao 001; Francisco Chicano; L. Darrell Whitley (IEEE Trans. Evol. Comput., 2018)

Organizational Data Classification Based on the Importance Concept of Complex Networks. - Murillo Guimarães Carneiro; Liang Zhao 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Network Unfolding Map by Vertex-Edge Dynamics Modeling. - Filipe Alves Neto Verri; Paulo Roberto Urio; Liang Zhao 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

A Network-Based Model for Optimizing Returns in the Stock Market. - Tiago Colliri; Liang Zhao 001 (BRACIS, 2019)

Particle Competition for Multilayer Network Community Detection. - Xubo Gao; Qiusheng Zheng; Filipe A. N. Verri; Rafael D. Rodrigues; Liang Zhao 001 (ICMLC, 2019)

From spatio-temporal data to chronological networks: an application to wildfire analysis. - Didier Augusto Vega-Oliveros; Moshé Cotacallapa; Leonardo Nascimento Ferreira; Marcos G. Quiles; Liang Zhao 001; Elbert E. N. Macau; Manoel F. Cardoso (SAC, 2019)

Time series trend detection and forecasting using complex network topology analysis. - Leandro Anghinoni; Liang Zhao 001; Donghong Ji; Heng Pan (Neural Networks, 2019)

Particle swarm optimization for network-based data classification. - Murillo G. Carneiro; Ran Cheng; Liang Zhao 001; Yaochu Jin (Neural Networks, 2019)

Algorithms to compute the Burrows-Wheeler Similarity Distribution. - Felipe A. Louza; Guilherme P. Telles; Simon Gog; Liang Zhao 001 (Theor. Comput. Sci., 2019)

Predicting the Evolution of COVID-19 Cases and Deaths Through a Correlations-Based Temporal Network. - Tiago Colliri; Alexandre C. B. Delbem; Liang Zhao 001 (BRACIS (2), 2020)

An Optimized Modularity-Based High Level Classification Model. - Tiago Colliri; Weiguang Liu; Liang Zhao 001 (IJCNN, 2020)

Measuring the engagement level in encrypted group conversations by using temporal networks. - Moshé Cotacallapa; Lilian Berton; Leonardo Nascimento Ferreira; Marcos G. Quiles; Liang Zhao 001; Elbert E. N. Macau; Didier A. Vega-Oliveros (IJCNN, 2020)

Classifying El Niño-Southern Oscillation Combining Network Science and Machine Learning. - Matheus A. De Castro Santos; Didier Augusto Vega-Oliveros; Liang Zhao 001; Lilian Berton (IEEE Access, 2020)

Applications of Machine Learning Methods in Complex Economics and Financial Networks. - Benjamin Miranda Tabak; Thiago C. Silva 001; Liang Zhao 001; Ahmet Sensoy (Complex., 2020)

Chronnet: a network-based model for spatiotemporal data analysis. - Leonardo Nascimento Ferreira; Didier Augusto Vega-Oliveros; Moshé Cotacallapa; Manoel F. Cardoso; Marcos G. Quiles; Liang Zhao 001; Elbert E. N. Macau (CoRR, 2020)

A Network-Based High-Level Data Classification Algorithm Using Betweenness Centrality. - Esteban Vilca; Liang Zhao 001 (CoRR, 2020)

A new network-base high-level data classification methodology (Quipus) by modeling attribute-attribute interactions. - Esteban Wilfredo Vilca Zuñiga; Liang Zhao 001 (CoRR, 2020)

Global fire season severity analysis and forecasting. - Leonardo Nascimento Ferreira; Didier Augusto Vega-Oliveros; Liang Zhao 001; Manoel F. Cardoso; Elbert E. N. Macau (Comput. Geosci., 2020)

A tourist walk approach for internal and external outlier detection. - Rafael D. Rodrigues; Liang Zhao 001; Qiusheng Zheng; Junbao Zhang (Neurocomputing, 2020)

Detecting Early Signs of Insufficiency in COVID-19 Patients from CBC Tests Through a Supervised Learning Approach. - Tiago Colliri; Marcia Minakawa; Liang Zhao 001 (BRACIS (2), 2021)

Anomaly Detection in Brazilian Federal Government Purchase Cards Through Unsupervised Learning Techniques. - Breno Nunes; Tiago Colliri; Marcelo de S. Lauretto; Weiguang Liu; Liang Zhao 001 (BRACIS (2), 2021)

Coarsening Algorithm via Semi-synchronous Label Propagation for Bipartite Networks. - Alan Demétrius Baria Valejo; Paulo Eduardo Althoff; Thiago de Paulo Faleiros; Maria Lígia Chuerubim; Jianglong Yan; Weiguang Liu; Liang Zhao 001 (BRACIS (1), 2021)

Analysis of Radiographic Images of Patients with COVID-19 Using Fractal Dimension and Complex Network-Based High-Level Classification. - Weiguang Liu; Jianglong Yan; Yu-tao Zhu; Everson José de Freitas Pereira; Gen Li; Qiusheng Zheng; Liang Zhao 001 (COMPLEX NETWORKS, 2021)

Classification of Dispersed Patterns of Radiographic Images with COVID-19 by Core-Periphery Network Modeling. - Jianglong Yan; Weiguang Liu; Yu-tao Zhu; Gen Li; Qiusheng Zheng; Liang Zhao 001 (COMPLEX NETWORKS, 2021)

A New Particle Competition Model for Community Detection with Application in Functional Brain Networks. - Paulo Henrique Lima de Paula; Liang Zhao 001 (IJCNN, 2021)

Stock market trend detection and automatic decision-making through a network-based classification model. - Tiago Colliri; Liang Zhao 001 (Nat. Comput., 2021)

Feature Ranking from Random Forest Through Complex Network's Centrality Measures - A Robust Ranking Method Without Using Out-of-Bag Examples. - Adriano Henrique Cantão; Alessandra Alaniz Macedo; Liang Zhao 001; José Augusto Baranauskas (ADBIS, 2022)

OneEE: A One-Stage Framework for Fast Overlapping and Nested Event Extraction. - Hu Cao; Jingye Li; Fangfang Su; Fei Li 021; Hao Fei 001; Shengqiong Wu; Bobo Li; Liang Zhao 001; Donghong Ji (COLING, 2022)

OneEE: A One-Stage Framework for Fast Overlapping and Nested Event Extraction. - Hu Cao; Jingye Li; Fangfang Su; Fei Li 001; Hao Fei 001; Shengqiong Wu; Bobo Li; Liang Zhao 001; Donghong Ji (CoRR, 2022)

Clustered and deep echo state networks for signal noise reduction. - Laercio de Oliveira Junior; Florian Stelzer; Liang Zhao 001 (Mach. Learn., 2022)

Link Prediction Based on Stochastic Information Diffusion. - Didier A. Vega-Oliveros; Liang Zhao 001; Anderson Rocha 001; Lilian Berton (IEEE Trans. Neural Networks Learn. Syst., 2022)

Multilevel Coarsening for Interactive Visualization of Large Bipartite Networks. - Alan Demétrius Baria Valejo; Renato Fabbri; Alneu de Andrade Lopes; Liang Zhao 001; Maria Cristina Ferreira de Oliveira (Frontiers Res. Metrics Anal., 2022)

TransGNN: A Transductive Graph Neural Network with Graph Dynamic Embedding. - Leandro Anghinoni; Yu-tao Zhu; Donghong Ji; Liang Zhao 001 (IJCNN, 2023)

High-Level Classification for EEG Analysis. - Murillo G. Carneiro; Camila D. Ramos; João-Batista Destro-Filho; Yu-tao Zhu; Donghong Ji; Liang Zhao 001 (IJCNN, 2023)

Data classification via centrality measures of complex networks. - Janayna M. Fernandes; Guilherme M. Suzuki; Liang Zhao 001; Murillo G. Carneiro (IJCNN, 2023)

Classification of coma etiology using convolutional neural networks and long-short term memory networks. - Sérgio Baldo Júnior; Murillo G. Carneiro; João-Batista Destro-Filho; Liang Zhao 001; Renato Tinós (IJCNN, 2023)

Maximizing portfolio profitability during a cryptocurrency downtrend: A Bitcoin Blockchain transaction-based approach. - Esteban Wilfredo Vilca Zuñiga; Caetano Mazzoni Ranieri; Liang Zhao 001; Jó Ueyama; Yu-tao Zhu; Donghong Ji (INNS DLIA@IJCNN, 2023)

WSI2ML - An Open-Source Whole Slide Image Annotation Software for Machine Learning Applications. - Luan V. C. Martins; Adriana Passos Bueno; Alexandre Defelicibus; Rodrigo D. Drummond; Renan Valieris; Yu-Tao Zhu; Israel Tojal da Silva; Liang Zhao 001 (WebMedia, 2023)

TOE: A Grid-Tagging Discontinuous NER Model Enhanced by Embedding Tag/Word Relations and More Fine-Grained Tags. - Jiang Liu 018; Donghong Ji; Jingye Li; Dongdong Xie 003; Chong Teng; Liang Zhao 001; Fei Li 021 (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Characterizing data patterns with core-periphery network modeling. - Jianglong Yan; Leandro Anghinoni; Yu-tao Zhu; Weiguang Liu; Gen Li; Qiusheng Zheng; Liang Zhao 001 (J. Comput. Sci., 2023)

Modeling EEG Data into Graphs for the Prognostic of Patients in Coma Using Graph Neural Networks. - Odelmo O. Nascimento Junior; Dhara L. C. Assis; João Batista Destro Filho; Liang Zhao 001; Murillo G. Carneiro (BRACIS (4), 2024)

High-Level Network-based Detection of Oral Cancer from ATR-FTIR Spectroscopy. - Ricardo B. Lima Filho; Janayna M. Fernandes; Donghong Ji; Liang Zhao 001; Robinson Sabino-Silva; Murillo G. Carneiro (IJCNN, 2024)

Modelling Graph Neural Network by Aggregating the Activation Maps of Self-Organizing Map. - Luan V. C. Martins; Donghong Ji; Liang Zhao 001 (IJCNN, 2024)

Coarsening Algorithm Based on Multi-Label Propagation for Knowledge Discovery in Bipartite Networks. - Alan Demétrius Baria Valejo; Paulo Eduardo Althoff; Thiago de Paulo Faleiros; Geraldo Pereira Rocha Filho; Yu-tao Zhu; Jianglong Yan; Weiguang Liu; Liang Zhao 001 (IEEE Trans. Netw. Sci. Eng., 2024)

TKDP: Threefold Knowledge-Enriched Deep Prompt Tuning for Few-Shot Named Entity Recognition. - Jiang Liu 018; Hao Fei 001; Fei Li 021; Jingye Li; Bobo Li; Liang Zhao 001; Chong Teng; Donghong Ji (IEEE Trans. Knowl. Data Eng., 2024)

STPar: A Structure-Aware Triaffine Parser for Screenplay Character Coreference Resolution. - Li Zheng; Hao Fei 001; Lei Chen; Bobo Li; Fei Li 021; Chong Teng; Liang Zhao 001; Donghong Ji (Trans. Assoc. Comput. Linguistics, 2025)