Liang Zhao - RankMe

205 papers A 1B 44C 5Misc 3Journal 84Unranked 55

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep learning-based UAV framework for automated morphological and growth analysis of feedlot cattle. Comput. Electron. Agric. Jianglong Yan, Everton Castelao Tetila, Liang Zhao, Rian C. Gonçalves, Letícia Ferrari Castanheiro, Lucas Pascotti Valem, Jayme G. A. Barbedo
2026	J	`jnl`	Explainability and privacy in AI-enabled crop monitoring: Trends and future directions in soybean research. Comput. Electron. Agric. Jayme Garcia Arnal Barbedo, Marcelo Santos da Silva, Mirela Teixeira Cazzolato, Lucas Pascotti Valem, Renato Tinós, Roseli Aparecida Francelin Romero, Luiz Otávio Murta, Adriano de Jesus Holanda, Joaquim Cezar Felipe, José Baldin Pinheiro, José Tiago Barroso Chagas, Roberto Fray da Silva, Everton Castelão Tetila, Lucio Andre de Castro Jorge, Huaqiang Yuan, Weiling Li, Ketan Kotecha, Liang Zhao
2025	B	`conf`	Attention to EEG signals: a transformer-based architecture for the prognosis of patients in coma. IJCNN João L. M. Barbosa, Murillo G. Carneiro, Sérgio Baldo Júnior, Renato Tinós, Donghong Ji, Liang Zhao, João-Batista Destro-Filho
2025	—	`conf`	Coma Etiology Prediction Using a CNN-LSTM Model Guided by EEG Brain Regions. BRACIS (4) João L. M. Barbosa, Murillo Guimarães Carneiro, Sérgio Baldo Júnior, Renato Tinós, Liang Zhao, João-Batista Destro-Filho
2025	J	`jnl`	Offline reinforcement learning strategies guided meta-heuristics for scheduling bi-objective unmanned surface vessel problems with multiple constraints. Swarm Evol. Comput. Wuze Huang, Kaizhou Gao, Naiqi Wu, Liang Zhao, Renato Tinós
2025	J	`jnl`	STPar: A Structure-Aware Triaffine Parser for Screenplay Character Coreference Resolution. Trans. Assoc. Comput. Linguistics Li Zheng, Hao Fei, Lei Chen, Bobo Li, Fei Li, Chong Teng, Liang Zhao, Donghong Ji
2024	J	`jnl`	Coarsening Algorithm Based on Multi-Label Propagation for Knowledge Discovery in Bipartite Networks. IEEE Trans. Netw. Sci. Eng. Alan Demétrius Baria Valejo, Paulo Eduardo Althoff, Thiago de Paulo Faleiros, Geraldo Pereira Rocha Filho, Yu-tao Zhu, Jianglong Yan, Weiguang Liu, Liang Zhao
2024	B	`conf`	High-Level Network-based Detection of Oral Cancer from ATR-FTIR Spectroscopy. IJCNN Ricardo B. Lima Filho, Janayna M. Fernandes, Donghong Ji, Liang Zhao, Robinson Sabino-Silva, Murillo G. Carneiro
2024	—	`conf`	Modeling EEG Data into Graphs for the Prognostic of Patients in Coma Using Graph Neural Networks. BRACIS (4) Odelmo O. Nascimento Junior, Dhara L. C. Assis, João Batista Destro Filho, Liang Zhao, Murillo G. Carneiro
2024	B	`conf`	Modelling Graph Neural Network by Aggregating the Activation Maps of Self-Organizing Map. IJCNN Luan V. C. Martins, Donghong Ji, Liang Zhao
2024	J	`jnl`	NK Hybrid Genetic Algorithm for Clustering. CoRR Renato Tinós, Liang Zhao, Francisco Chicano, Darrell Whitley
2024	J	`jnl`	TKDP: Threefold Knowledge-Enriched Deep Prompt Tuning for Few-Shot Named Entity Recognition. IEEE Trans. Knowl. Data Eng. Jiang Liu, Hao Fei, Fei Li, Jingye Li, Bobo Li, Liang Zhao, Chong Teng, Donghong Ji
2023	—	`ed.`	19th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery ICNC-FSKD 2023, Harbin, China, July 29-31, 2023 ICNC-FSKD Liang Zhao, Guanglu Sun, Kenli Li, Zheng Xiao, Lipo Wang
2023	J	`jnl`	Characterizing data patterns with core-periphery network modeling. J. Comput. Sci. Jianglong Yan, Leandro Anghinoni, Yu-tao Zhu, Weiguang Liu, Gen Li, Qiusheng Zheng, Liang Zhao
2023	B	`conf`	Classification of coma etiology using convolutional neural networks and long-short term memory networks. IJCNN Sérgio Baldo Júnior, Murillo G. Carneiro, João-Batista Destro-Filho, Liang Zhao, Renato Tinós
2023	B	`conf`	Data classification via centrality measures of complex networks. IJCNN Janayna M. Fernandes, Guilherme M. Suzuki, Liang Zhao, Murillo G. Carneiro
2023	B	`conf`	High-Level Classification for EEG Analysis. IJCNN Murillo G. Carneiro, Camila D. Ramos, João-Batista Destro-Filho, Yu-tao Zhu, Donghong Ji, Liang Zhao
2023	—	`conf`	Maximizing portfolio profitability during a cryptocurrency downtrend: A Bitcoin Blockchain transaction-based approach. INNS DLIA@IJCNN Esteban Wilfredo Vilca Zuñiga, Caetano Mazzoni Ranieri, Liang Zhao, Jó Ueyama, Yu-tao Zhu, Donghong Ji
2023	J	`jnl`	TKDP: Threefold Knowledge-enriched Deep Prompt Tuning for Few-shot Named Entity Recognition. CoRR Jiang Liu, Hao Fei, Fei Li, Jingye Li, Bobo Li, Liang Zhao, Chong Teng, Donghong Ji
2023	J	`jnl`	TOE: A Grid-Tagging Discontinuous NER Model Enhanced by Embedding Tag/Word Relations and More Fine-Grained Tags. IEEE ACM Trans. Audio Speech Lang. Process. Jiang Liu, Donghong Ji, Jingye Li, Dongdong Xie, Chong Teng, Liang Zhao, Fei Li
2023	B	`conf`	TransGNN: A Transductive Graph Neural Network with Graph Dynamic Embedding. IJCNN Leandro Anghinoni, Yu-tao Zhu, Donghong Ji, Liang Zhao
2023	—	`conf`	WSI2ML - An Open-Source Whole Slide Image Annotation Software for Machine Learning Applications. WebMedia Luan V. C. Martins, Adriana Passos Bueno, Alexandre Defelicibus, Rodrigo D. Drummond, Renan Valieris, Yu-tao Zhu, Israel Tojal da Silva, Liang Zhao
2022	J	`jnl`	Clustered and deep echo state networks for signal noise reduction. Mach. Learn. Laercio de Oliveira Junior, Florian Stelzer, Liang Zhao
2022	C	`conf`	Feature Ranking from Random Forest Through Complex Network's Centrality Measures - A Robust Ranking Method Without Using Out-of-Bag Examples. ADBIS Adriano Henrique Cantão, Alessandra Alaniz Macedo, Liang Zhao, José Augusto Baranauskas
2022	J	`jnl`	Link Prediction Based on Stochastic Information Diffusion. IEEE Trans. Neural Networks Learn. Syst. Didier A. Vega-Oliveros, Liang Zhao, Anderson Rocha, Lilian Berton
2022	J	`jnl`	Multilevel Coarsening for Interactive Visualization of Large Bipartite Networks. Frontiers Res. Metrics Anal. Alan Demétrius Baria Valejo, Renato Fabbri, Alneu de Andrade Lopes, Liang Zhao, Maria Cristina Ferreira de Oliveira
2022	B	`conf`	OneEE: A One-Stage Framework for Fast Overlapping and Nested Event Extraction. COLING Hu Cao, Jingye Li, Fangfang Su, Fei Li, Hao Fei, Shengqiong Wu, Bobo Li, Liang Zhao, Donghong Ji
2022	J	`jnl`	OneEE: A One-Stage Framework for Fast Overlapping and Nested Event Extraction. CoRR Hu Cao, Jingye Li, Fangfang Su, Fei Li, Hao Fei, Shengqiong Wu, Bobo Li, Liang Zhao, Donghong Ji
2022	J	`jnl`	TOE: A Grid-Tagging Discontinuous NER Model Enhanced by Embedding Tag/Word Relations and More Fine-Grained Tags. CoRR Jiang Liu, Donghong Ji, Jingye Li, Dongdong Xie, Chong Teng, Liang Zhao, Fei Li
2021	B	`conf`	A New Particle Competition Model for Community Detection with Application in Functional Brain Networks. IJCNN Paulo Henrique Lima de Paula, Liang Zhao
2021	—	`conf`	Analysis of Radiographic Images of Patients with COVID-19 Using Fractal Dimension and Complex Network-Based High-Level Classification. COMPLEX NETWORKS Weiguang Liu, Jianglong Yan, Yu-tao Zhu, Everson José de Freitas Pereira, Gen Li, Qiusheng Zheng, Liang Zhao
2021	—	`conf`	Anomaly Detection in Brazilian Federal Government Purchase Cards Through Unsupervised Learning Techniques. BRACIS (2) Breno Nunes, Tiago Colliri, Marcelo de S. Lauretto, Weiguang Liu, Liang Zhao
2021	—	`conf`	Classification of Dispersed Patterns of Radiographic Images with COVID-19 by Core-Periphery Network Modeling. COMPLEX NETWORKS Jianglong Yan, Weiguang Liu, Yu-tao Zhu, Gen Li, Qiusheng Zheng, Liang Zhao
2021	—	`conf`	Coarsening Algorithm via Semi-synchronous Label Propagation for Bipartite Networks. BRACIS (1) Alan Demétrius Baria Valejo, Paulo Eduardo Althoff, Thiago de Paulo Faleiros, Maria Lígia Chuerubim, Jianglong Yan, Weiguang Liu, Liang Zhao
2021	—	`conf`	Detecting Early Signs of Insufficiency in COVID-19 Patients from CBC Tests Through a Supervised Learning Approach. BRACIS (2) Tiago Colliri, Marcia Minakawa, Liang Zhao
2021	J	`jnl`	Stock market trend detection and automatic decision-making through a network-based classification model. Nat. Comput. Tiago Colliri, Liang Zhao
2020	J	`jnl`	A Network-Based High-Level Data Classification Algorithm Using Betweenness Centrality. CoRR Esteban Vilca, Liang Zhao
2020	J	`jnl`	A new network-base high-level data classification methodology (Quipus) by modeling attribute-attribute interactions. CoRR Esteban Wilfredo Vilca Zuñiga, Liang Zhao
2020	J	`jnl`	A tourist walk approach for internal and external outlier detection. Neurocomputing Rafael D. Rodrigues, Liang Zhao, Qiusheng Zheng, Junbao Zhang
2020	—	`ed.`	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), Kunming, China, July 20-22, 2019 - Volume 1 ICNC-FSKD Yong Liu, Lipo Wang, Liang Zhao, Zhengtao Yu
2020	—	`ed.`	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), Kunming, China, July 20-22, 2019 - Volume 2 ICNC-FSKD Yong Liu, Lipo Wang, Liang Zhao, Zhengtao Yu
2020	B	`conf`	An Optimized Modularity-Based High Level Classification Model. IJCNN Tiago Colliri, Weiguang Liu, Liang Zhao
2020	J	`jnl`	Applications of Machine Learning Methods in Complex Economics and Financial Networks. Complex. Benjamin Miranda Tabak, Thiago C. Silva, Liang Zhao, Ahmet Sensoy
2020	J	`jnl`	Chaotic Phase Synchronization and Desynchronization in an Oscillator Network for Object Selection. CoRR Fabricio A. Breve, Marcos G. Quiles, Liang Zhao, Elbert E. N. Macau
2020	J	`jnl`	Chronnet: a network-based model for spatiotemporal data analysis. CoRR Leonardo Nascimento Ferreira, Didier Augusto Vega-Oliveros, Moshé Cotacallapa, Manoel F. Cardoso, Marcos G. Quiles, Liang Zhao, Elbert E. N. Macau
2020	J	`jnl`	Classifying El Niño-Southern Oscillation Combining Network Science and Machine Learning. IEEE Access Matheus A. De Castro Santos, Didier Augusto Vega-Oliveros, Liang Zhao, Lilian Berton
2020	J	`jnl`	Global fire season severity analysis and forecasting. Comput. Geosci. Leonardo Nascimento Ferreira, Didier Augusto Vega-Oliveros, Liang Zhao, Manoel F. Cardoso, Elbert E. N. Macau
2020	B	`conf`	Measuring the engagement level in encrypted group conversations by using temporal networks. IJCNN Moshé Cotacallapa, Lilian Berton, Leonardo Nascimento Ferreira, Marcos G. Quiles, Liang Zhao, Elbert E. N. Macau, Didier A. Vega-Oliveros
2020	J	`jnl`	Particle Competition and Cooperation for Semi-Supervised Learning with Label Noise. CoRR Fabricio Aparecido Breve, Liang Zhao, Marcos Gonçalves Quiles
2020	—	`conf`	Predicting the Evolution of COVID-19 Cases and Deaths Through a Correlations-Based Temporal Network. BRACIS (2) Tiago Colliri, Alexandre C. B. Delbem, Liang Zhao
2019	—	`conf`	A Network-Based Model for Optimizing Returns in the Stock Market. BRACIS Tiago Colliri, Liang Zhao
2019	J	`jnl`	Algorithms to compute the Burrows-Wheeler Similarity Distribution. CoRR Felipe A. Louza, Guilherme P. Telles, Simon Gog, Liang Zhao
2019	J	`jnl`	Algorithms to compute the Burrows-Wheeler Similarity Distribution. Theor. Comput. Sci. Felipe A. Louza, Guilherme P. Telles, Simon Gog, Liang Zhao
2019	Misc	`conf`	From spatio-temporal data to chronological networks: an application to wildfire analysis. SAC Didier Augusto Vega-Oliveros, Moshé Cotacallapa, Leonardo Nascimento Ferreira, Marcos G. Quiles, Liang Zhao, Elbert E. N. Macau, Manoel F. Cardoso
2019	Misc	`conf`	Particle Competition for Multilayer Network Community Detection. ICMLC Xubo Gao, Qiusheng Zheng, Filipe A. N. Verri, Rafael D. Rodrigues, Liang Zhao
2019	J	`jnl`	Particle swarm optimization for network-based data classification. Neural Networks Murillo G. Carneiro, Ran Cheng, Liang Zhao, Yaochu Jin
2019	J	`jnl`	Time series trend detection and forecasting using complex network topology analysis. Neural Networks Leandro Anghinoni, Liang Zhao, Donghong Ji, Heng Pan
2018	B	`conf`	A Network-Based High Level Data Classification Technique. IJCNN Tiago Colliri, Donghong Ji, Heng Pan, Liang Zhao
2018	J	`jnl`	A scheme for high level data classification using random walk and network measures. Expert Syst. Appl. Thiago Henrique Cupertino, Murillo Guimarães Carneiro, Qiusheng Zheng, Junbao Zhang, Liang Zhao
2018	—	`conf`	Analysis of Graph Construction Methods in Supervised Data Classification. BRACIS Murillo G. Carneiro, Liang Zhao
2018	C	`conf`	Computing Burrows-Wheeler Similarity Distributions for String Collections. SPIRE Felipe A. Louza, Guilherme P. Telles, Simon Gog, Liang Zhao
2018	B	`conf`	Feature Learning in Feature-Sample Networks Using Multi-Objective Optimization. CEC Filipe Alves Neto Verri, Renato Tinós, Liang Zhao
2018	J	`jnl`	From spatio-temporal data to chronological networks: An application to wildfire analysis. CoRR Didier Augusto Vega-Oliveros, Moshé Cotacallapa, Leonardo Nascimento Ferreira, Marcos G. Quiles, Liang Zhao, Elbert E. N. Macau, Manoel F. Cardoso
2018	J	`jnl`	NK Hybrid Genetic Algorithm for Clustering. IEEE Trans. Evol. Comput. Renato Tinós, Liang Zhao, Francisco Chicano, L. Darrell Whitley
2018	J	`jnl`	Network Unfolding Map by Vertex-Edge Dynamics Modeling. IEEE Trans. Neural Networks Learn. Syst. Filipe Alves Neto Verri, Paulo Roberto Urio, Liang Zhao
2018	J	`jnl`	Network community detection via iterative edge removal in a flocking-like system. CoRR Filipe Alves Neto Verri, Roberto Alves Gueleri, Qiusheng Zheng, Junbao Zhang, Liang Zhao
2018	J	`jnl`	Organizational Data Classification Based on the Importance Concept of Complex Networks. IEEE Trans. Neural Networks Learn. Syst. Murillo Guimarães Carneiro, Liang Zhao
2018	B	`conf`	Time Series Trend Detection and Forecasting Using Complex Network Topology Analysis. IJCNN Leandro Anghinoni, Liang Zhao, Qiusheng Zheng, Junbo Zhang
2017	—	`ed.`	13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2017, Guilin, China, July 29-31, 2017 ICNC-FSKD Yong Liu, Liang Zhao, Guoyong Cai, Guoqing Xiao, Kenli Li, Lipo Wang
2017	J	`jnl`	Attribute-based Decision Graphs: A framework for multiclass data classification. Neural Networks João Roberto Bertini Jr., Maria do Carmo Nicoletti, Liang Zhao
2017	J	`jnl`	Feature learning in feature-sample networks using multi-objective optimization. CoRR Filipe Alves Neto Verri, Renato Tinós, Liang Zhao
2017	—	`conf`	Improving semantic role labeling using high-level classification in complex networks. ICNC-FSKD Murillo G. Carneiro, João Luís Garcia Rosa, Qiusheng Zheng, Xiaoming Liu, Liang Zhao
2017	B	`conf`	Low and high level classification using stacking. IJCNN Thiago Ferreira Covoes, Liang Zhao
2017	B	`conf`	Nature-Inspired Graph Optimization for Dimensionality Reduction. ICTAI Murillo G. Carneiro, Thiago Henrique Cupertino, Ran Cheng, Yaochu Jin, Liang Zhao
2017	J	`jnl`	Semi-supervised Semantic Role Labeling for Brazilian Portuguese. J. Inf. Data Manag. Murillo G. Carneiro, Thiago Henrique Cupertino, Liang Zhao, João Luís Garcia Rosa
2017	—	`conf`	Structural outlier detection: A tourist walk approach. ICNC-FSKD Rafael D. Rodrigues, Liang Zhao, Qiusheng Zheng, Junbao Zhang
2016	J	`jnl`	A Network of Neural Oscillators for Fractal Pattern Recognition. Neural Process. Lett. Fabio Alessandro Oliveira da Silva, Liang Zhao
2016	A	`conf`	A New Evaluation Function for Clustering: The NK Internal Validation Criterion. GECCO Renato Tinós, Liang Zhao, Francisco Chicano, L. Darrell Whitley
2016	J	`jnl`	An embedded imputation method via Attribute-based Decision Graphs. Expert Syst. Appl. João Roberto Bertini Jr., Maria do Carmo Nicoletti, Liang Zhao
2016	J	`jnl`	An object-based visual selection framework. Neurocomputing Alcides X. Benicasa, Marcos G. Quiles, Thiago C. Silva, Liang Zhao, Roseli A. F. Romero
2016	J	`jnl`	Data heterogeneity consideration in semi-supervised learning. Expert Syst. Appl. Bilzã Araújo, Liang Zhao
2016	—	`book`	Machine Learning in Complex Networks Thiago Christiano Silva, Liang Zhao
2016	—	`conf`	Musical Scales Recognition via Deterministic Walk in a Graph. BRACIS Andres Eduardo Coca Salazar, Liang Zhao
2016	J	`jnl`	Musical rhythmic pattern extraction using relevance of communities in networks. Inf. Sci. Andres Eduardo Coca Salazar, Liang Zhao
2016	J	`jnl`	Network Unfolding Map by Edge Dynamics Modeling. CoRR Filipe Alves Neto Verri, Paulo Roberto Urio, Liang Zhao
2016	B	`conf`	Network structural optimization based on swarm intelligence for highlevel classification. IJCNN Murillo G. Carneiro, Liang Zhao, Ran Cheng, Yaochu Jin
2016	—	`conf`	Random Walk in Feature-Sample Networks for Semi-supervised Classification. BRACIS Filipe Alves Neto Verri, Liang Zhao
2016	J	`jnl`	Semi-Supervised Classification by Particle Competition in Complex Network's Edges. Int. J. Pattern Recognit. Artif. Intell. Paulo Roberto Urio, Filipe Alves Neto Verri, Liang Zhao
2016	J	`jnl`	Time series clustering via community detection in networks. Inf. Sci. Leonardo Nascimento Ferreira, Liang Zhao
2015	—	`conf`	A Time Series Clustering Technique based on Community Detection in Networks. INNS Conference on Big Data Leonardo Nascimento Ferreira, Liang Zhao
2015	J	`jnl`	High-level pattern-based classification via tourist walks in networks. Inf. Sci. Thiago Christiano Silva, Liang Zhao
2015	—	`conf`	Interactive Image Segmentation of Non-contiguous Classes Using Particle Competition and Cooperation. ICCSA (1) Fabricio A. Breve, Marcos G. Quiles, Liang Zhao
2015	B	`conf`	Interactive image segmentation using particle competition and cooperation. IJCNN Fabricio A. Breve, Marcos Gonçalves Quiles, Liang Zhao
2015	J	`jnl`	Network-based supervised data classification by using an heuristic of ease of access. Neurocomputing Thiago Henrique Cupertino, Liang Zhao, Murillo G. Carneiro
2015	J	`jnl`	Particle competition and cooperation for semi-supervised learning with label noise. Neurocomputing Fabricio A. Breve, Liang Zhao, Marcos G. Quiles
2015	Misc	`conf`	Semi-supervised learning by edge domination in complex networks. ICNC Paulo Roberto Urio, Filipe Alves Neto Verri, Liang Zhao
2015	J	`jnl`	Time Series Clustering via Community Detection in Networks. CoRR Leonardo Nascimento Ferreira, Liang Zhao
2014	B	`conf`	A flocking-like technique to perform semi-supervised learning. IJCNN Roberto Alves Gueleri, Thiago Henrique Cupertino, André Carlos Ponce de Leon Ferreira de Carvalho, Liang Zhao
2014	J	`jnl`	A semi-supervised classification technique based on interacting forces. Neurocomputing Thiago Henrique Cupertino, Roberto Alves Gueleri, Liang Zhao
2014	—	`conf`	An Object-Based Visual Selection Model Combining Physical Features and Memory. BRACIS Alcides Xavier Benicasa, Marcos G. Quiles, Thiago C. Silva, Liang Zhao, Roseli A. Francelin Romero
2014	—	`conf`	Detecting Time Series Periodicity Using Complex Networks. BRACIS Leonardo Nascimento Ferreira, Liang Zhao
2014	J	`jnl`	Effect of nonidentical signal phases on signal amplification of two coupled excitable neurons. Neurocomputing Xiaoming Liang, Liang Zhao
2014	—	`conf`	Evaluating and Comparing the IGraph Community Detection Algorithms. BRACIS Fabiano Berardo de Sousa, Liang Zhao
2014	B	`conf`	Imputation of missing data supported by Complete p-Partite attribute-based Decision Graphs. IJCNN João Roberto Bertini Jr., Maria do Carmo Nicoletti, Liang Zhao
2014	B	`conf`	K-associated optimal network for graph embedding dimensionality reduction. IJCNN Murillo G. Carneiro, Thiago Henrique Cupertino, Liang Zhao
2014	J	`jnl`	Network-based data classification: combining K-associated optimal graphs and high-level prediction. J. Braz. Comput. Soc. Murillo G. Carneiro, João Luís Garcia Rosa, Alneu de Andrade Lopes, Liang Zhao
2014	—	`conf`	Recognizing Fractal Patterns Using a Ring of Phase Oscillators. BRACIS Fabio Alessandro Oliveira da Silva, Liang Zhao
2014	—	`conf`	Rhythmic Pattern Extraction by Community Detection in Complex Networks. BRACIS Andres Eduardo Coca Salazar, Liang Zhao
2013	—	`conf`	A Network-Based Semi-supervised Outlier Detection Technique Using Particle Competition and Cooperation. BRACIS Fabio Willian Zamoner, Liang Zhao
2013	—	`conf`	A Purity Measure Based Transductive Learning Algorithm. ISNN (2) João Roberto Bertini Jr., Liang Zhao
2013	J	`jnl`	An incremental learning algorithm based on the K-associated graph for non-stationary data classification. Inf. Sci. João Roberto Bertini Jr., Liang Zhao, Alneu de Andrade Lopes
2013	B	`conf`	Attribute-based Decision Graphs for multiclass data classification. IEEE Congress on Evolutionary Computation João Roberto Bertini Jr., Maria do Carmo Nicoletti, Liang Zhao
2013	—	`conf`	Bias-Guided Random Walk for Network-Based Data Classification. ISNN (2) Thiago Henrique Cupertino, Liang Zhao
2013	J	`jnl`	Classification of multiple observation sets via network modularity. Neural Comput. Appl. Thiago Henrique Cupertino, Thiago C. Silva, Liang Zhao
2013	B	`conf`	Computer-aided music composition with LSTM neural network and chaotic inspiration. IJCNN Andres E. Coca, Débora C. Corrêa, Liang Zhao
2013	J	`jnl`	Data clustering using controlled consensus in complex networks. Neurocomputing Thiago Henrique Cupertino, Jean Huertas, Liang Zhao
2013	B	`conf`	Detecting and labeling representative nodes for network-based semi-supervised learning. IJCNN Bilzã Araújo, Liang Zhao
2013	B	`conf`	Ensemble of complete P-partite graph classifiers for non-stationary environments. IEEE Congress on Evolutionary Computation João R. Bertini, Maria do Carmo Nicoletti, Liang Zhao
2013	J	`jnl`	Fuzzy community structure detection by particle competition and cooperation. Soft Comput. Fabricio A. Breve, Liang Zhao
2013	J	`jnl`	Handwritten Data Clustering Using Agents Competition in Networks. J. Math. Imaging Vis. Thiago C. Silva, Liang Zhao, Thiago Henrique Cupertino
2013	J	`jnl`	High Level Pattern Classification via Tourist Walks in Networks CoRR Thiago Christiano Silva, Liang Zhao
2013	B	`conf`	High level data classification based on network entropy. IJCNN Filipe Alves Neto Verri, Liang Zhao
2013	B	`conf`	Investigation of complex dynamics in a recurrent neural network with network community structure and asymmetric weight matrix. IJCNN Fabiano Berardo de Sousa, Liang Zhao
2013	J	`jnl`	Phase-Noise-Induced Resonance in Arrays of Coupled Excitable Neural Models. IEEE Trans. Neural Networks Learn. Syst. Xiaoming Liang, Liang Zhao
2013	—	`conf`	Semi-Supervised Learning Using Random Walk Limiting Probabilities. ISNN (2) Thiago Henrique Cupertino, Liang Zhao
2013	—	`conf`	Top-Down Biasing and Modulation for Object-Based Visual Attention. ICONIP (3) Alcides Xavier Benicasa, Marcos G. Quiles, Liang Zhao, Roseli A. F. Romero
2013	J	`jnl`	Uncovering overlapping cluster structures via stochastic competitive learning. Inf. Sci. Thiago Christiano Silva, Liang Zhao
2012	—	`conf`	An Energy Exchanging Mechanism for Data Clustering. SBRN Roberto Alves Gueleri, Liang Zhao
2012	—	`conf`	An Object-Based Visual Selection Model with Bottom-Up and Top-Down Modulations. SBRN Alcides X. Benicasa, Marcos G. Quiles, Liang Zhao, Roseli A. F. Romero
2012	—	`conf`	Detecting and Preventing Error Propagation via Competitive Learning. INNS-WC Thiago Christiano Silva, Liang Zhao
2012	B	`conf`	Detecting overlapping structures via network-based competitive learning. IJCNN Thiago C. Silva, Liang Zhao
2012	J	`jnl`	Enhancing Weak Signal Transmission Through a Feedforward Network. IEEE Trans. Neural Networks Learn. Syst. Xiaoming Liang, Liang Zhao, Zonghua Liu
2012	—	`conf`	Firing Activity Induced by Nonidentical Signal Phases in Two Coupled Excitable Neurons. SBRN Xiaoming Liang, Liang Zhao
2012	B	`conf`	Model of top-down / bottom-up visual attention for location of salient objects in specific domains. IJCNN Alcides X. Benicasa, Liang Zhao, Roseli A. F. Romero
2012	J	`jnl`	Network-Based High Level Data Classification. IEEE Trans. Neural Networks Learn. Syst. Thiago Christiano Silva, Liang Zhao
2012	J	`jnl`	Network-Based Stochastic Semisupervised Learning. IEEE Trans. Neural Networks Learn. Syst. Thiago Christiano Silva, Liang Zhao
2012	J	`jnl`	Partially labeled data stream classification with the semi-supervised K-associated graph. J. Braz. Comput. Soc. João Roberto Bertini Jr., Alneu de Andrade Lopes, Liang Zhao
2012	J	`jnl`	Particle Competition and Cooperation in Networks for Semi-Supervised Learning. IEEE Trans. Knowl. Data Eng. Fabricio A. Breve, Liang Zhao, Marcos G. Quiles, Witold Pedrycz, Jiming Liu
2012	—	`conf`	Particle Competition and Cooperation to Prevent Error Propagation from Mislabeled Data in Semi-supervised Learning. SBRN Fabricio A. Breve, Liang Zhao
2012	B	`conf`	Particle competition and cooperation in networks for semi-supervised learning with concept drift. IJCNN Fabricio A. Breve, Liang Zhao
2012	J	`jnl`	Phase-disorder-induced firing activity in excitable neuronal networks with attractive and repulsive coupling. Neural Networks Xiaoming Liang, Liang Zhao
2012	—	`conf`	Preventing Error Propagation in Semi-supervised Learning. ISNN (1) Thiago C. Silva, Liang Zhao
2012	B	`conf`	QK-Means: A clustering technique based on community detection and K-Means for deployment of cluster head nodes. IJCNN Leonardo Nascimento Ferreira, A. R. Pinto, Liang Zhao
2012	—	`conf`	Robustness Analysis of Network-Based Semi-supervised Learning Algorithms. SBRN Bilzã Araújo, Liang Zhao
2012	J	`jnl`	Semi-supervised learning guided by the modularity measure in complex networks. Neurocomputing Thiago C. Silva, Liang Zhao
2012	J	`jnl`	Stochastic Competitive Learning in Complex Networks. IEEE Trans. Neural Networks Learn. Syst. Thiago Christiano Silva, Liang Zhao
2012	—	`conf`	Stochastic Resonance in Excitable Neuronal System with Phase-Noise. BICS Xiaoming Liang, Liang Zhao
2012	—	`conf`	Using Interacting Forces to Perform Semi-supervised Learning. SBRN Thiago Henrique Cupertino, Liang Zhao
2012	—	`conf`	Using Katz Centrality to Classify Multiple Pattern Transformations. SBRN Thiago Henrique Cupertino, Liang Zhao
2011	J	`jnl`	A nonparametric classification method based on K-associated graphs. Inf. Sci. João Roberto Bertini Jr., Liang Zhao, Robson Motta, Alneu de Andrade Lopes
2011	B	`conf`	Controlled consensus time for community detection in complex networks. IJCNN Jean Huertas, Liang Zhao
2011	B	`conf`	Generation of composed musical structures through recurrent neural networks based on chaotic inspiration. IJCNN Andres E. Coca, Roseli A. F. Romero, Liang Zhao
2011	—	`conf`	High Level Classification for Pattern Recognition. SIBGRAPI Thiago C. Silva, Thiago Henrique Cupertino, Liang Zhao
2011	B	`conf`	Network-based learning through particle competition for data clustering. IJCNN Thiago C. Silva, Liang Zhao
2011	—	`conf`	Particle Competition and Cooperation for Uncovering Network Overlap Community Structure. ISNN (3) Fabricio A. Breve, Liang Zhao, Marcos G. Quiles, Witold Pedrycz, Jiming Liu
2011	J	`jnl`	Selecting salient objects in real scenes: An oscillatory correlation model. Neural Networks Marcos G. Quiles, DeLiang Wang, Liang Zhao, Roseli A. Francelin Romero, De-Shuang Huang
2011	—	`conf`	Stochastic Competitive Learning Applied to Handwritten Digit and Letter Clustering. SIBGRAPI Thiago C. Silva, Thiago Henrique Cupertino, Liang Zhao
2010	—	`conf`	Identifying Abnormal Nodes in Protein-Protein Interaction Networks. SBRN Bilzã Araújo, Francisco Aparecido Rodrigues, Thiago C. Silva, Liang Zhao
2010	B	`conf`	Identifying abnormal nodes in complex networks by using random walk measure. IEEE Congress on Evolutionary Computation Lilian Berton, Jean Huertas, Bilzã Araújo, Liang Zhao
2010	B	`conf`	Label propagation through neuronal synchrony. IJCNN Marcos G. Quiles, Liang Zhao, Fabricio A. Breve, Anderson Rocha
2010	B	`conf`	Semi-supervised learning from imperfect data through particle cooperation and competition. IJCNN Fabricio A. Breve, Liang Zhao, Marcos G. Quiles
2010	—	`conf`	Traffic Congestion on Clustered Random Complex Networks. CompleNet Thiago Henrique Cupertino, Liang Zhao
2009	J	`jnl`	A network of integrate and fire neurons for visual selection. Neurocomputing Marcos G. Quiles, Liang Zhao, Fabricio A. Breve, Roseli A. Francelin Romero
2009	B	`conf`	An oscillatory correlation model of object-based attention. IJCNN Marcos G. Quiles, DeLiang Wang, Liang Zhao, Roseli A. Francelin Romero, De-Shuang Huang
2009	J	`jnl`	Chaotic phase synchronization and desynchronization in an oscillator network for object selection. Neural Networks Fabricio A. Breve, Liang Zhao, Marcos G. Quiles, Elbert E. N. Macau
2009	B	`conf`	Chaotic phase synchronization for visual selection. IJCNN Fabricio A. Breve, Liang Zhao, Marcos G. Quiles, Elbert E. N. Macau
2009	—	`conf`	Classification Based on the Optimal K-Associated Network. Complex (1) Alneu de Andrade Lopes, João R. Bertini, Robson Motta, Liang Zhao
2009	J	`jnl`	Design of associative memories using cellular neural networks. Neurocomputing Alexandre C. B. Delbem, Leonardo Garcia Correa, Liang Zhao
2009	J	`jnl`	Editorial. Soft Comput. Liang Zhao, Maozu Guo, Lipo Wang
2009	—	`conf`	Particle Competition in Complex Networks for Semi-supervised Classification. Complex (1) Fabricio A. Breve, Liang Zhao, Marcos G. Quiles
2009	—	`conf`	Uncovering Overlap Community Structure in Complex Networks Using Particle Competition. AICI Fabricio A. Breve, Liang Zhao, Marcos G. Quiles
2008	J	`jnl`	Chaotic synchronization in 2D lattice for scene segmentation. Neurocomputing Liang Zhao, Fabricio Aparecido Breve
2008	J	`jnl`	Chaotic synchronization in general network topology for scene segmentation. Neurocomputing Liang Zhao, Thiago Henrique Cupertino, João Roberto Bertini Jr.
2008	—	`conf`	Complex Network Community Detection Based on Swarm Aggregation. ICNC (7) Tatyana B. S. de Oliveira, Liang Zhao
2008	B	`conf`	Data clustering based on complex network community detection. IEEE Congress on Evolutionary Computation Tatyana B. S. de Oliveira, Liang Zhao, Katti Faceli, André Carlos Ponce de Leon Ferreira de Carvalho
2008	—	`ed.`	Fourth International Conference on Natural Computation, ICNC 2008, Jinan, Shandong, China, 18-20 October 2008, Volume 1 ICNC (1) Maozu Guo, Liang Zhao, Lipo Wang
2008	—	`ed.`	Fourth International Conference on Natural Computation, ICNC 2008, Jinan, Shandong, China, 18-20 October 2008, Volume 2 ICNC (2) Maozu Guo, Liang Zhao, Lipo Wang
2008	—	`ed.`	Fourth International Conference on Natural Computation, ICNC 2008, Jinan, Shandong, China, 18-20 October 2008, Volume 3 ICNC (3) Maozu Guo, Liang Zhao, Lipo Wang
2008	—	`ed.`	Fourth International Conference on Natural Computation, ICNC 2008, Jinan, Shandong, China, 18-20 October 2008, Volume 4 ICNC (4) Maozu Guo, Liang Zhao, Lipo Wang
2008	—	`ed.`	Fourth International Conference on Natural Computation, ICNC 2008, Jinan, Shandong, China, 18-20 October 2008, Volume 5 ICNC (5) Maozu Guo, Liang Zhao, Lipo Wang
2008	—	`ed.`	Fourth International Conference on Natural Computation, ICNC 2008, Jinan, Shandong, China, 18-20 October 2008, Volume 6 ICNC (6) Maozu Guo, Liang Zhao, Lipo Wang
2008	—	`ed.`	Fourth International Conference on Natural Computation, ICNC 2008, Jinan, Shandong, China, 18-20 October 2008, Volume 7 ICNC (7) Maozu Guo, Liang Zhao, Lipo Wang
2008	—	`conf`	Visual Selection with Feature Contrast-Based Inhibition in a Network of Integrate and Fire Neurons. ICNC (3) Marcos G. Quiles, Fabricio A. Breve, Roseli A. F. Romero, Liang Zhao
2007	B	`conf`	A Network of Dynamically Coupled Elements for Pixel Clustering. IJCNN Liang Zhao, Marcos G. Quiles, Antonio P. G. Damiance, Roseli A. Francelin Romero
2007	C	`conf`	A Visual Selection Mechanism Based on Network of Chaotic Wilson-Cowan Oscillators. ISDA Marcos G. Quiles, Fabricio A. Breve, Liang Zhao, Roseli A. Francelin Romero
2007	B	`conf`	A Visual Selection Mechanism Based on a Pulse-Coupled Neural Network. IJCNN Marcos G. Quiles, Liang Zhao, Roseli A. Francelin Romero
2007	C	`conf`	Associative Memories Using Cellular Neural Networks. ISDA Leonardo Garcia Correa, Alexandre C. B. Delbem, Liang Zhao
2007	J	`jnl`	Attack Induced Cascading Breakdown in Complex Networks. J. Braz. Comput. Soc. Liang Zhao, Kwangho Park, Ying-Cheng Lai, Thiago Henrique Cupertino
2007	C	`conf`	Pixel Clustering by Using Complex Network Community Detection Technique. ISDA Thiago C. Silva, Liang Zhao
2007	—	`conf`	Visual Selection and Shifting Mechanisms Based on a Network of Chaotic Wilson-Cowan Oscillators. ICNC (5) Liang Zhao, Fabricio A. Breve, Marcos G. Quiles, Roseli A. F. Romero
2006	—	`conf`	A Pulse-Coupled Neural Network as A Simplified Bottom-Up Visual Attention Model. SBRN Marcos G. Quiles, Roseli A. Francelin Romero, Liang Zhao
2006	J	`jnl`	Chaotic dynamics for multi-value content addressable memory. Neurocomputing Liang Zhao, Juan C. G. Cáceres, Antonio P. G. Damiance, Harold Szu
2005	—	`conf`	A Self-organized Network for Data Clustering. ICNC (1) Liang Zhao, Antonio P. G. Damiance, André Carlos Ponce de Leon Ferreira de Carvalho
2004	J	`jnl`	A dynamical model with adaptive pixel moving for microarray images segmentation. Real Time Imaging Antonio P. G. Damiance, Liang Zhao, André Carlos Ponce de Leon Ferreira de Carvalho
2004	J	`jnl`	Pixel clustering by adaptive pixel moving and chaotic synchronization. IEEE Trans. Neural Networks Liang Zhao, André Carlos Ponce de Leon Ferreira de Carvalho, Zhaohui Li
2003	J	`jnl`	A Network of Coupled Chaotic Maps for Adaptive Multi-Scale Image Segmentation. Int. J. Neural Syst. Liang Zhao, Rogerio A. Furukawa, André Carlos Ponce de Leon Ferreira de Carvalho
2003	B	`conf`	A dynamical model for multi-scale pixel clustering. IJCNN Liang Zhao, Antonio P. G. Damiance, Rogerio A. Furukawa, André C. P. L. F. de Carvalho
2003	B	`conf`	Chaotic associative recalls for fixed point attractor patterns. IJCNN Liang Zhao, Juan C. G. Cáceres, Harold Szu
2002	—	`conf`	A Network of Globally Coupled Chaotic Maps for Adaptive Multi-Resolution Image Segmentation. SBRN Liang Zhao, Rogerio A. Furukawa, André Carlos Ponce de Leon Ferreira de Carvalho
2001	J	`jnl`	A network of dynamically coupled chaotic maps for scene segmentation. IEEE Trans. Neural Networks Liang Zhao, Elbert E. N. Macau
2000	—	`conf`	A Dynamically Coupled Chaotic Oscillatory Correlation Network. SBRN Liang Zhao
2000	—	`conf`	Fractal Color Image Compression. SIBGRAPI Zhaohui Li, Liang Zhao, Nei Yoshihiro Soma
2000	—	`conf`	Scene Segmentation by Chaotic Synchronization and Desynchronization. Biologically Motivated Computer Vision Liang Zhao
2000	J	`jnl`	Scene Segmentation of the Chaotic oscillator Network. Int. J. Bifurc. Chaos Liang Zhao, Elbert E. N. Macau, Nizam Omar
1998	—	`—`	Locally excitatory chaotic oscillator network for scene segmentation. Liang Zhao