Bo Zhang

According to our database1, Bo Zhang authored at least 211 papers between 1983 and 2019.

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Bibliography

2019
Semantic Cluster Unary Loss for Efficient Deep Hashing.
IEEE Trans. Image Processing, 2019

Pruning from Scratch.
CoRR, 2019

Multi-objects Generation with Amortized Structural Regularization.
CoRR, 2019

Function Space Particle Optimization for Bayesian Neural Networks.
CoRR, 2019

Joint Cluster Unary Loss for Efficient Cross-Modal Hashing.
CoRR, 2019

Pairwise Teacher-Student Network for Semi-Supervised Hashing.
CoRR, 2019

Adversarial Variational Inference and Learning in Markov Random Fields.
CoRR, 2019

Joint Cluster Unary Loss for Efficient Cross-Modal Hashing.
Proceedings of the 2019 on International Conference on Multimedia Retrieval, 2019

Function Space Particle Optimization for Bayesian Neural Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019

Pairwise Teacher-Student Network for Semi-Supervised Hashing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Learning Deep Generative Models With Doubly Stochastic Gradient MCMC.
IEEE Trans. Neural Netw. Learning Syst., 2018

Scalable Discrete Supervised Multimedia Hash Learning With Clustering.
IEEE Trans. Circuits Syst. Video Techn., 2018

Max-Margin Deep Generative Models for (Semi-)Supervised Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Visual instance mining from the graph perspective.
Multimedia Syst., 2018

Semi-crowdsourced Clustering with Deep Generative Models.
CoRR, 2018

Deep Structured Generative Models.
CoRR, 2018

Learning Implicit Generative Models by Teaching Explicit Ones.
CoRR, 2018

Semantic Cluster Unary Loss for Efficient Deep Hashing.
CoRR, 2018

Graphical Generative Adversarial Networks.
CoRR, 2018

Semi-crowdsourced Clustering with Deep Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Message Passing Stein Variational Gradient Descent.
Proceedings of the 35th International Conference on Machine Learning, 2018

Essay-Anchor Attentive Multi-Modal Bilinear Pooling for Textbook Question Answering.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Interpret Neural Networks by Identifying Critical Data Routing Paths.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Smooth Neighbors on Teacher Graphs for Semi-Supervised Learning.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Textbook Question Answering Under Instructor Guidance With Memory Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Collaborative Filtering With User-Item Co-Autoregressive Models.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Towards Reversal-Invariant Image Representation.
International Journal of Computer Vision, 2017

Fast sampling methods for Bayesian max-margin models.
Expert Syst. Appl., 2017

Smooth Neighbors on Teacher Graphs for Semi-supervised Learning.
CoRR, 2017

Triple Generative Adversarial Nets.
CoRR, 2017

SAM: Semantic Attribute Modulated Language Modeling.
CoRR, 2017

Improving Interpretability of Deep Neural Networks with Semantic Information.
CoRR, 2017

Saliency-GD: A TF-IDF Analogy for Landmark Image Mining.
Proceedings of the Advances in Multimedia Information Processing - PCM 2017, 2017

Triple Generative Adversarial Nets.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Forecast the Plausible Paths in Crowd Scenes.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Semi-supervised Max-margin Topic Model with Manifold Posterior Regularization.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Improving Interpretability of Deep Neural Networks with Semantic Information.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Simple Techniques Make Sense: Feature Pooling and Normalization for Image Classification.
IEEE Trans. Circuits Syst. Video Techn., 2016

BitHash: An efficient bitwise Locality Sensitive Hashing method with applications.
Knowl.-Based Syst., 2016

Incorporating visual adjectives for image classification.
Neurocomputing, 2016

Scalable Discrete Supervised Hash Learning with Asymmetric Matrix Factorization.
CoRR, 2016

Max-Margin Deep Generative Models for (Semi-)Supervised Learning.
CoRR, 2016

Learning to Generate with Memory.
CoRR, 2016

Collaborative Filtering with User-Item Co-Autoregressive Models.
CoRR, 2016

Crowd Scene Understanding with Coherent Recurrent Neural Networks.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Learning to Generate with Memory.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Scalable Discrete Supervised Hash Learning with Asymmetric Matrix Factorization.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Efficient and Robust Semi-supervised Learning Over a Sparse-Regularized Graph.
Proceedings of the Computer Vision - ECCV 2016, 2016

Neuron Segmentation Based on CNN with Semi-Supervised Regularization.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Segment-Level Sequence Modeling using Gated Recursive Semi-Markov Conditional Random Fields.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Discriminative Deep Random Walk for Network Classification.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Jointly Modeling Topics and Intents with Global Order Structure.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Fine-Grained Image Search.
IEEE Trans. Multimedia, 2015

Heterogeneous Graph Propagation for Large-Scale Web Image Search.
IEEE Trans. Image Processing, 2015

Angular-Similarity-Preserving Binary Signatures for Linear Subspaces.
IEEE Trans. Image Processing, 2015

Discriminative Relational Topic Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Fast Parallel SVM using Data Augmentation.
CoRR, 2015

Max-margin Deep Generative Models.
CoRR, 2015

Stochastic Subgradient MCMC Methods.
CoRR, 2015

Learning Deep Generative Models with Doubly Stochastic MCMC.
CoRR, 2015

Jointly Modeling Topics and Intents with Global Order Structure.
CoRR, 2015

Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation.
CoRR, 2015

Max-Margin Deep Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Image Classification and Retrieval are ONE.
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

Regularizing neural networks with adaptive local drop.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Adaptive Dropout Rates for Learning with Corrupted Features.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

RIDE: Reversal Invariant Descriptor Enhancement.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Large Scale Sentiment Analysis with Locality Sensitive BitHash.
Proceedings of the Information Retrieval Technology, 2015

2014
Learning Harmonium Models With Infinite Latent Features.
IEEE Trans. Neural Netw. Learning Syst., 2014

Spatial Pooling of Heterogeneous Features for Image Classification.
IEEE Trans. Image Processing, 2014

Batch-Orthogonal Locality-Sensitive Hashingfor Angular Similarity.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Gibbs max-margin topic models with data augmentation.
J. Mach. Learn. Res., 2014

Fast and accurate near-duplicate image search with affinity propagation on the ImageWeb.
Computer Vision and Image Understanding, 2014

Dropout Training for Support Vector Machines.
CoRR, 2014

Distributed Bayesian Posterior Sampling via Moment Sharing.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Max-Margin Infinite Hidden Markov Models.
Proceedings of the 31th International Conference on Machine Learning, 2014

Max-SIFT: Flipping invariant descriptors for Web logo search.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Orientational Pyramid Matching for Recognizing Indoor Scenes.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Similarity-Preserving Binary Signature for Linear Subspaces.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Dropout Training for Support Vector Machines.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Learning a Contextual Multi-Thread Model for Movie/TV Scene Segmentation.
IEEE Trans. Multimedia, 2013

Improved Bayesian Logistic Supervised Topic Models with Data Augmentation.
CoRR, 2013

Gibbs Max-margin Topic Models with Data Augmentation.
CoRR, 2013

Discriminative Relational Topic Models.
CoRR, 2013

Sparse online topic models.
Proceedings of the 22nd International World Wide Web Conference, 2013

Multi-granular Computing in Web Age.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2013

Sparse Relational Topic Models for Document Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Scalable Inference for Logistic-Normal Topic Models.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Scalable inference in max-margin topic models.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Generalized Relational Topic Models with Data Augmentation.
Proceedings of the IJCAI 2013, 2013

Restricted Boltzmann Machine with Adaptive Local Hidden Units.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Gibbs Max-Margin Topic Models with Fast Sampling Algorithms.
Proceedings of the 30th International Conference on Machine Learning, 2013

Fast Max-Margin Matrix Factorization with Data Augmentation.
Proceedings of the 30th International Conference on Machine Learning, 2013

Feature normalization for part-based image classification.
Proceedings of the IEEE International Conference on Image Processing, 2013

Min-Max Hash for Jaccard Similarity.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Hierarchical Part Matching for Fine-Grained Visual Categorization.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Improved Bayesian Logistic Supervised Topic Models with Data Augmentation.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
A Real World Detection System - Combining Color, Shape and Appearance to Enable Real-time Road Sign Detection.
Proceedings of the VISAPP 2012, 2012

Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Super-Bit Locality-Sensitive Hashing.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Spatial pooling of heterogeneous features for image applications.
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

2011
The structural analysis of fuzzy measures.
SCIENCE CHINA Information Sciences, 2011

2010
Fuzzy tolerance quotient spaces and fuzzy subsets.
SCIENCE CHINA Information Sciences, 2010

TTHU-IMG at TRECVID 2010.
Proceedings of the TRECVID 2010 workshop participants notebook papers, 2010

Fuzzy Measures and Granular Computing.
Proceedings of the Rough Set and Knowledge Technology - 5th International Conference, 2010

Learning Vocabulary-Based Hashing with AdaBoost.
Proceedings of the Advances in Multimedia Modeling, 2010

Robust semantic sketch based specific image retrieval.
Proceedings of the 2010 IEEE International Conference on Multimedia and Expo, 2010

An Update and Summary of Multi-granular Computing and Quotient Structure.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

2009
Statistical Web Object Extraction.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Multi-Granular Computing and Quotient Structure.
Proceedings of the Encyclopedia of Complexity and Systems Science, 2009

Query representation by structured concept threads with application to interactive video retrieval.
J. Visual Communication and Image Representation, 2009

The theory and application of tolerance relations.
IJGCRSIS, 2009

StatSnowball: a statistical approach to extracting entity relationships.
Proceedings of the 18th International Conference on World Wide Web, 2009

Vocabulary-based hashing for image search.
Proceedings of the 17th International Conference on Multimedia 2009, 2009

Primal sparse Max-margin Markov networks.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

A Machine Learning Technique to Detect and Predict Parkinson's Disease.
Proceedings of the 2009 International Conference on Image Processing, 2009

Multi-modal Information Retrieval for Content-based Medical Image and Video Data Mining.
Proceedings of the IMAGAPP 2009, 2009

The interactive video retrieval system in SMARTV 2009.
Proceedings of the 8th ACM International Conference on Image and Video Retrieval, 2009

2008
Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction.
J. Mach. Learn. Res., 2008


SemanGist: A Local Semantic Image Representation.
Proceedings of the Advances in Multimedia Information Processing, 2008

Partially Observed Maximum Entropy Discrimination Markov Networks.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Laplace maximum margin Markov networks.
Proceedings of the Machine Learning, 2008

Semantic Concept Learning through Massive Internet Video Mining.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Granular Computing based on Fuzzy and Tolerance Relations.
Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008

Scene understanding with discriminative structured prediction.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Learning structured concept-segments for interactive video retrieval.
Proceedings of the 7th ACM International Conference on Image and Video Retrieval, 2008

Interactive video retrieval with rich features and friendly interface.
Proceedings of the 7th ACM International Conference on Image and Video Retrieval, 2008

2007
A Formal Study of Shot Boundary Detection.
IEEE Trans. Circuits Syst. Video Techn., 2007

A Theoretical Framework of Natural Computing - M Good Lattice Points (GLP) Method.
Proceedings of the Advances in Data and Web Management, 2007


Mapping Query to Semantic Concepts: Leveraging Semantic Indices for Automatic and Interactive Video Retrieval.
Proceedings of the First IEEE International Conference on Semantic Computing (ICSC 2007), 2007

Multi-modal and Multi-granular Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Exploiting spatial context constraints for automatic image region annotation.
Proceedings of the 15th International Conference on Multimedia 2007, 2007

Gradual transition detection with conditional random fields.
Proceedings of the 15th International Conference on Multimedia 2007, 2007

The importance of query-concept-mapping for automatic video retrieval.
Proceedings of the 15th International Conference on Multimedia 2007, 2007

Video diver: generic video indexing with diverse features.
Proceedings of the 9th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2007

Quotient Space Based Multi-granular Analysis.
Proceedings of the Knowledge Science, 2007

Webpage understanding: an integrated approach.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

On the Stability of SVR-based Nonlinear Autoregressive Dynamical Model.
Proceedings of the 3rd Indian International Conference on Artificial Intelligence, 2007

Dynamic hierarchical Markov random fields and their application to web data extraction.
Proceedings of the Machine Learning, 2007

The feature and spatial covariant kernel: adding implicit spatial constraints to histogram.
Proceedings of the 6th ACM International Conference on Image and Video Retrieval, 2007

Video search in concept subspace: a text-like paradigm.
Proceedings of the 6th ACM International Conference on Image and Video Retrieval, 2007

Video retrieval with multi-modal features.
Proceedings of the 6th ACM International Conference on Image and Video Retrieval, 2007

2006
Quotient Space Based Cluster Analysis.
Proceedings of the Foundations and Novel Approaches in Data Mining, 2006

Hierarchical Machine Learning - A Learning Methodology Inspired by Human Intelligence.
Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006

Learning concepts from large scale imbalanced data sets using support cluster machines.
Proceedings of the 14th ACM International Conference on Multimedia, 2006

Simultaneous record detection and attribute labeling in web data extraction.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Visual Object Recognition in Diverse Scenes with Multiple Instance Learning.
Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006

Multiple-Instance Learning Via Random Walk.
Proceedings of the Machine Learning: ECML 2006, 2006

Using High-Level Semantic Features in Video Retrieval.
Proceedings of the Image and Video Retrieval, 5th International Conference, 2006

Relay Boost Fusion for Learning Rare Concepts in Multimedia.
Proceedings of the Image and Video Retrieval, 5th International Conference, 2006

Granular Analysis of Time Sequence Based on Quotient Space.
Proceedings of the 2006 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2006), International Conference on Intelligent Agents, Web Technologies and Internet Commerce (IAWTIC 2006), 29 November, 2006

2005
A unified framework for image retrieval using keyword and visual features.
IEEE Trans. Image Processing, 2005

A Quotient Space Approximation Model of Multiresolution Signal Analysis.
J. Comput. Sci. Technol., 2005

Fuzzy reasoning model under quotient space structure.
Inf. Sci., 2005

The structure analysis of fuzzy sets.
Int. J. Approx. Reasoning, 2005

A unified shot boundary detection framework based on graph partition model.
Proceedings of the 13th ACM International Conference on Multimedia, 2005

2D Conditional Random Fields for Web information extraction.
Proceedings of the Machine Learning, 2005

Two kinds of timing cues and their usage in concept detection in news video.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Quotient space based multi-granular computing.
Proceedings of the 2005 IEEE International Conference on Granular Computing, 2005

A new multiresolution classification model based on partitioning of feature space.
Proceedings of the 2005 IEEE International Conference on Granular Computing, 2005

AP-Based Borda Voting Method for Feature Extraction in TRECVID-2004.
Proceedings of the Advances in Information Retrieval, 2005

2004
An efficient and effective region-based image retrieval framework.
IEEE Trans. Image Processing, 2004

Relevance feedback in region-based image retrieval.
IEEE Trans. Circuits Syst. Video Techn., 2004

The Quotient Space Theory of Problem Solving.
Fundam. Inform., 2004

Dynamic Feature Space Selection in Relevance Feedback Using Support Vector Machines.
Proceedings of the Pattern Recognition in Information Systems, 2004

An Online Learning Framework for Sports Video View Classification.
Proceedings of the Advances in Multimedia Information Processing - PCM 2004, 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30, 2004

An online-optimized incremental learning framework for video semantic classification.
Proceedings of the 12th ACM International Conference on Multimedia, 2004

Improvements to Bennett?s Nearest Point Algorithm for Support Vector Machines.
Proceedings of the Advances in Neural Networks, 2004

Keyword propagation for image retrieval.
Proceedings of the 2004 International Symposium on Circuits and Systems, 2004

Learning in Hidden Annotation-Based Image Retrieval.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Entropy-based active learning with support vector machines for content-based image retrieval.
Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004

Relevance Feedback for Keyword and Visual Feature-Based Image Retrieval.
Proceedings of the Image and Video Retrieval: Third International Conference, 2004

2003
Alternating Feature Spaces in Relevance Feedback.
Multimedia Tools Appl., 2003

The Quotient Space Theory of Problem Solving.
Proceedings of the Rough Sets, 2003

Unsupervised image segmentation using local homogeneity analysis.
Proceedings of the 2003 International Symposium on Circuits and Systems, 2003

Nonlinear Speech Model Based on Support Vector Machine and Wavelet Transform.
Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2003), 2003

Support vector machines for region-based image retrieval.
Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

Learning in Region-Based Image Retrieval.
Proceedings of the Image and Video Retrieval, Second International Conference, 2003

2002
Relationship Between Support Vector Set and Kernel Functions in SVM.
J. Comput. Sci. Technol., 2002

A New Cache Replacement Algorithm in SMO.
Proceedings of the Pattern Recognition with Support Vector Machines, 2002

An effective region-based image retrieval framework.
Proceedings of the 10th ACM International Conference on Multimedia 2002, 2002

Region-based relevance feedback in image retrieval.
Proceedings of the 2002 International Symposium on Circuits and Systems, 2002

A New Strategy for Selecting Working Sets Applied in SMO.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Gaussian mixture model for relevance feedback in image retrieval.
Proceedings of the 2002 IEEE International Conference on Multimedia and Expo, 2002

Learning region weighting from relevance feedback in image retrieval.
Proceedings of the IEEE International Conference on Acoustics, 2002

Generation of Chinese prosodic phrasing rules by an extension matrix algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2002

2001
A Tree-Based Model of Prosodic Phrasing for Chinese Text-to-Speech Systems.
Proceedings of the Advances in Multimedia Information Processing, 2001

A New Prosodic Phrasing Model for Chinese TTS Systems.
Proceedings of the Sixth Natural Language Processing Pacific Rim Symposium, 2001

Alternating feature spaces in relevance feedback.
Proceedings of the 2001 ACM workshops on Multimedia: multimedia information retrieval, Ottawa, ON, Canada, September 30, 2001

A novel region-based image retrieval method using relevance feedback.
Proceedings of the 2001 ACM workshops on Multimedia: multimedia information retrieval, Ottawa, ON, Canada, September 30, 2001

Training prosodic phrasing rules for Chinese TTS systems.
Proceedings of the EUROSPEECH 2001 Scandinavia, 2001

2000
A Neural Network Based Classifier for Handwritten Chinese Character Recognition.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

1999
A geometrical representation of McCulloch-Pitts neural model and its applications.
IEEE Trans. Neural Networks, 1999

Neural Network Based Classifers for a Vast Amount of Data.
Proceedings of the Methodologies for Knowledge Discovery and Data Mining, 1999

1996
Generating and coding of fractal graphs by neural network and mathematical morphology methods.
IEEE Trans. Neural Networks, 1996

1995
Programming based learning algorithms of neural networks with self-feedback connections.
IEEE Trans. Neural Networks, 1995

The complexity of learning in PLN networks.
Neural Networks, 1995

The generation of a sort of fractal graphs.
J. Comput. Sci. Technol., 1995

1993
The complexity of recognition in the single-layered PLN network with feedback connections.
J. Comput. Sci. Technol., 1993

On memory capacity of the Probabilistic Logic Neuron network.
J. Comput. Sci. Technol., 1993

1992
A quantitative analysis of the behaviors of the PLN network.
Neural Networks, 1992

1990
Hierarchy and statistical heuristic search.
Future Generation Comp. Syst., 1990

1989
Motion Planning of Multi-Joint Robotic Arm with Topological Dimension Reduction Method.
Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989

1985
A New Heuristic Search Technique-Algorithm SA.
IEEE Trans. Pattern Anal. Mach. Intell., 1985

A Weighted Technique in Heuristic Search.
Proceedings of the 9th International Joint Conference on Artificial Intelligence. Los Angeles, 1985

1984
Planning Collision-Free Paths for Robotic Arm Among Obstacles.
IEEE Trans. Pattern Anal. Mach. Intell., 1984

The Successive SA* Search and its Computational Complexity.
Proceedings of the Advances in Artificial Intelligence, 1984

1983
The Statistical Inference Method in Heuristic Search Techniques.
Proceedings of the 8th International Joint Conference on Artificial Intelligence. Karlsruhe, 1983


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