Xiaolin Hu

Comput. Vis. Image Underst., 2024

Natural Language Induced Adversarial Images.

[BibT_eX]

[DOI]

CoRR, 2024

Perfect Gradient Inversion in Federated Learning: A New Paradigm from the Hidden Subset Sum Problem.

[BibT_eX]

[DOI]

CoRR, 2024

CooHOI: Learning Cooperative Human-Object Interaction with Manipulated Object Dynamics.

[BibT_eX]

[DOI]

CoRR, 2024

Accurate and Reliable Predictions with Mutual-Transport Ensemble.

[BibT_eX]

[DOI]

CoRR, 2024

TDFNet: An Efficient Audio-Visual Speech Separation Model with Top-down Fusion.

[BibT_eX]

[DOI]

Samuel Pegg

CoRR, 2024

Natural Language Induced Adversarial Images.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

PhonHuBERT: A Phoneme Transcription Tool for Song Datasets.

[BibT_eX]

[DOI]

Amaury Prat

Proceedings of the Advances in Neural Networks - ISNN 2024, 2024

nuScenesComplex: A More Rigorous Evaluation Framework for End-to-End Autonomous Driving Planning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks - ISNN 2024, 2024

Improve Adversarial Robustness of MNIST Classification via Topological Data Analysis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks - ISNN 2024, 2024

CSFuser: A Cascade Siamese Fusion Architecture for RGB-Infrared Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks - ISNN 2024, 2024

IIANet: An Intra- and Inter-Modality Attention Network for Audio-Visual Speech Separation.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

RTFS-Net: Recurrent Time-Frequency Modelling for Efficient Audio-Visual Speech Separation.

[BibT_eX]

[DOI]

Samuel Pegg

Proceedings of the Twelfth International Conference on Learning Representations, 2024

PartImageNet++ Dataset: Scaling Up Part-Based Models for Robust Recognition.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Controllable Navigation Instruction Generation with Chain of Thought Prompting.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Infrared Adversarial Car Stickers.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

SAFDNet: A Simple and Effective Network for Fully Sparse 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Language-Driven Anchors for Zero-Shot Adversarial Robustness.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Focal Distillation From High-Resolution Data to Low-Resolution Data for 3D Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., December, 2023

Hiding from infrared detectors in real world with adversarial clothes.

[BibT_eX]

[DOI]

Appl. Intell., December, 2023

Extracting Semantic Knowledge From GANs With Unsupervised Learning.

[BibT_eX]

[DOI]

Jianjin Xu

Zhaoxiang Zhang

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Recognizing Object by Components With Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Adjacency Constraint for Efficient Hierarchical Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

A Fast High-Fidelity Source-Filter Vocoder With Lightweight Neural Modules.

[BibT_eX]

[DOI]

Yuyang Peng

IEEE ACM Trans. Audio Speech Lang. Process., 2023

SCANet: A Self- and Cross-Attention Network for Audio-Visual Speech Separation.

[BibT_eX]

[DOI]

CoRR, 2023

On the Importance of Backbone to the Adversarial Robustness of Object Detectors.

[BibT_eX]

[DOI]

Xiao Li

Hang Chen

CoRR, 2023

MIXPGD: Hybrid Adversarial Training for Speech Recognition Systems.

[BibT_eX]

[DOI]

Aminul Huq

Weiyi Zhang

CoRR, 2023

CFNet: Cascade Fusion Network for Dense Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning.

[BibT_eX]

[DOI]

Jianfeng Wang

Thomas Lukasiewicz

CoRR, 2023

HEDNet: A Hierarchical Encoder-Decoder Network for 3D Object Detection in Point Clouds.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Audio-Visual Speech Separation in Noisy Environments with a Lightweight Iterative Model.

[BibT_eX]

[DOI]

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

An efficient encoder-decoder architecture with top-down attention for speech separation.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Visual Recognition by Request.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Convolutional Neural Networks With Gated Recurrent Connections.

[BibT_eX]

[DOI]

Jianfeng Wang

IEEE Trans. Pattern Anal. Mach. Intell., 2022

State-Temporal Compression in Reinforcement Learning With the Reward-Restricted Geodesic Metric.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Inferring Mechanisms of Auditory Attentional Modulation with Deep Neural Networks.

[BibT_eX]

[DOI]

Neural Comput., 2022

Bridging the Functional and Wiring Properties of V1 Neurons Through Sparse Coding.

[BibT_eX]

[DOI]

Zhigang Zeng

Neural Comput., 2022

Amplification trojan network: Attack deep neural networks by amplifying their inherent weakness.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Improving Image Segmentation with Boundary Patch Refinement.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2022

The MSR-Video to Text dataset with clean annotations.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2022

Bridging the Gap Between Training and Inference of Bayesian Controllable Language Models.

[BibT_eX]

[DOI]

CoRR, 2022

On the Use of Deep Mask Estimation Module for Neural Source Separation Systems.

[BibT_eX]

[DOI]

Yi Luo

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

NP-Match: When Neural Processes meet Semi-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Active Pointly-Supervised Instance Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Infrared Invisible Clothing: Hiding from Infrared Detectors at Multiple Angles in Real World.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Adversarial Texture for Fooling Person Detectors in the Physical World.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Dense Contrastive Loss for Instance Segmentation.

[BibT_eX]

[DOI]

Hang Chen

Chufeng Tang

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Vocabulary-Wide Credit Assignment for Training Image Captioning Models.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

Rethinking Natural Adversarial Examples for Classification Models.

[BibT_eX]

[DOI]

CoRR, 2021

Annotation Cleaning for the MSR-Video to Text Dataset.

[BibT_eX]

[DOI]

CoRR, 2021

Frame Difference-Based Temporal Loss for Video Stylization.

[BibT_eX]

[DOI]

Jianjin Xu

Zheyang Xiong

CoRR, 2021

Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Robust Logo Detection in E-Commerce Images by Data Augmentation.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point Clouds.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

DAM: Discrepancy Alignment Metric for Face Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Attack on Practical Speaker Verification System Using Universal Adversarial Perturbations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

RefineMask: Towards High-Quality Instance Segmentation With Fine-Grained Features.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

RSG: A Simple but Effective Module for Learning Imbalanced Datasets.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Look Closer To Segment Better: Boundary Patch Refinement for Instance Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Fooling Thermal Infrared Pedestrian Detectors in Real World Using Small Bulbs.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Learning Reliable Visual Saliency For Model Explanations.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2020

Line-CNN: End-to-End Traffic Line Detection With Line Proposal Unit.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2020

Interpret Neural Networks by Extracting Critical Subnetworks.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

A Hierarchical Recurrent Neural Network for Symbolic Melody Generation.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2020

A Semantics-Assisted Video Captioning Model Trained With Scheduled Sampling.

[BibT_eX]

[DOI]

Frontiers Robotics AI, 2020

PopMNet: Generating structured pop music melodies using neural networks.

[BibT_eX]

[DOI]

Artif. Intell., 2020

Companion Guided Soft Margin for Face Recognition.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

6D Object Pose Regression via Supervised Learning on Point Clouds.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Dynamic Multi-path Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Boosting Decision-Based Black-Box Adversarial Attacks with Random Sign Flip.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Delving Deeper into the Decoder for Video Captioning.

[BibT_eX]

[DOI]

Haoran Chen

Jianmin Li

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Online Knowledge Distillation via Collaborative Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Pruning from Scratch.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Dynamic Network Pruning with Interpretable Layerwise Channel Selection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Topic-Oriented Image Captioning Based on Order-Embedding.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2019

Estimation of the Volume of the Left Ventricle From MRI Images Using Deep Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2019

Hierarchical Bayesian Inference and Learning in Spiking Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2019

A hierarchical sparse coding model predicts acoustic feature encoding in both auditory midbrain and cortex.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2019

Interpretable Disentanglement of Neural Networks by Extracting Class-Specific Subnetwork.

[BibT_eX]

[DOI]

Yulong Wang

Hang Su

CoRR, 2019

A Semantics-Assisted Video Captioning Model Trained with Scheduled Sampling.

[BibT_eX]

[DOI]

CoRR, 2019

Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks.

[BibT_eX]

[DOI]

Xiang Li

Jian Yang

CoRR, 2019

Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Localization.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Knowledge Distillation via Route Constrained Optimization.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Learning Sparse Hidden States in Long Short-Term Memory.

[BibT_eX]

[DOI]

Niange Yu

Cornelius Weber

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

Selective Kernel Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Understanding the Disharmony Between Dropout and Batch Normalization by Variance Shift.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Adversarial Attacks and Defences Competition.

[BibT_eX]

[DOI]

CoRR, 2018

Interpret Neural Networks by Identifying Critical Data Routing Paths.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Boosting Adversarial Attacks With Momentum.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

UnrealStereo: Controlling Hazardous Factors to Analyze Stereo Vision.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Conference on 3D Vision, 2018

2017

Convolution Neural Networks With Two Pathways for Image Style Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2017

Evaluate the Malignancy of Pulmonary Nodules Using the 3D Deep Leaky Noisy-or Network.

[BibT_eX]

[DOI]

CoRR, 2017

Discovering Adversarial Examples with Momentum.

[BibT_eX]

[DOI]

CoRR, 2017

Gated Recurrent Convolution Neural Network for OCR.

[BibT_eX]

[DOI]

Jianfeng Wang

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Reservoir Computing with a Small-World Network for Discriminating Two Sequential Stimuli.

[BibT_eX]

[DOI]

Ke Bai

Fangzhou Liao

Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

Accelerating convolutional neural networks by group-wise 2D-filter pruning.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Delving deeper into convolutional neural networks for camera relocalization.

[BibT_eX]

[DOI]

Jian Wu

Liwei Ma

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

An STDP-Based Supervised Learning Algorithm for Spiking Neural Networks.

[BibT_eX]

[DOI]

Zhanhao Hu

Tao Wang

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Training the Hopfield Neural Network for Classification Using a STDP-Like Rule.

[BibT_eX]

[DOI]

Tao Wang

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Scale-Aware Face Detection.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Guest Editorial Special Issue on Neurodynamic Systems for Optimization and Applications.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2016

Solving the K-shortest paths problem in timetable-based public transportation systems.

[BibT_eX]

[DOI]

J. Intell. Transp. Syst., 2016

UnrealStereo: A Synthetic Dataset for Analyzing Stereo Vision.

[BibT_eX]

[DOI]

CoRR, 2016

Fuzzy String Matching Using Sentence Embedding Algorithms.

[BibT_eX]

[DOI]

Yu Rong

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Joint Training of Cascaded CNN for Face Detection.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Comparison of ℓ<sub>1</sub>-Norm SVR and Sparse Coding Algorithms for Linear Regression.

[BibT_eX]

[DOI]

Qingtian Zhang

IEEE Trans. Neural Networks Learn. Syst., 2015

Convolutional Neural Networks with Intra-Layer Recurrent Connections for Scene Labeling.

[BibT_eX]

[DOI]

Ming Liang

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Interlinked Convolutional Neural Networks for Face Parsing.

[BibT_eX]

[DOI]

Yisu Zhou

Proceedings of the Advances in Neural Networks - ISNN 2015, 2015

Deep Convolutional Neural Network and Multi-view Stacking Ensemble in Ali Mobile Recommendation Algorithm Competition: The Solution to the Winning of Ali Mobile Recommendation Algorithm.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014

Learning Nonlinear Statistical Regularities in Natural Images by Modeling the Outer Product of Image Intensities.

[BibT_eX]

[DOI]

Peng Qi

Neural Comput., 2014

Modeling response properties of V2 neurons using a hierarchical K-means model.

[BibT_eX]

[DOI]

Neurocomputing, 2014

2013

Data-based control, optimization, modeling and applications.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2013

Traffic sign detection based on convolutional neural networks.

[BibT_eX]

[DOI]

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Traffic sign detection by ROI extraction and histogram features-based recognition.

[BibT_eX]

[DOI]

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012

Solving the Assignment Problem Using Continuous-Time and Discrete-Time Improved Dual Networks.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2012

Hierarchical K-Means Algorithm for Modeling Visual Area V2 Neurons.

[BibT_eX]

[DOI]

Peng Qi

Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011

Solving the Assignment Problem with the Improved Dual Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

2010

Design of recurrent neural networks for solving constrained least absolute deviation problems.

[BibT_eX]

[DOI]

Changyin Sun

IEEE Trans. Neural Networks, 2010

A Gaussian Attractor Network for Memory and Recognition with Experience-Dependent Learning.

[BibT_eX]

[DOI]

Neural Comput., 2010

2009

An Alternative Recurrent Neural Network for Solving Variational Inequalities and Related Optimization Problems.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 2009

A New Recurrent Neural Network for Solving Convex Quadratic Programming Problems With an Application to the k -Winners-Take-All Problem.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2009

Motion Planning with Obstacle Avoidance for Kinematically Redundant Manipulators Based on Two Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2009

Another Simple Recurrent Neural Network for Quadratic and Linear Programming.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks, 2009

2008

An Improved Dual Neural Network for Solving a Class of Quadratic Programming Problems and Its k-Winners-Take-All Application.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2008

THU and ICRC at TRECVID 2008.

[BibT_eX]

[DOI]

Proceedings of the TRECVID 2008 workshop participants notebook papers, 2008

Three Global Exponential Convergence Results of the GPNN for Solving Generalized Linear Variational Inequalities.

[BibT_eX]

[DOI]

Zhigang Zeng

Proceedings of the Advances in Neural Networks, 2008

2007

Solving variational inequalities and related problems using recurrent neural networks.

[BibT_eX]

[DOI]

PhD thesis, 2007

Design of General Projection Neural Networks for Solving Monotone Linear Variational Inequalities and Linear and Quadratic Optimization Problems.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 2007

A Recurrent Neural Network for Solving a Class of General Variational Inequalities.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 2007

Solving Generally Constrained Generalized Linear Variational Inequalities Using the General Projection Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2007

Convergence of a Recurrent Neural Network for Nonconvex Optimization Based on an Augmented Lagrangian Function.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks, 2007

Solving the k-Winners-Take-All Problem and the Oligopoly Cournot-Nash Equilibrium Problem Using the General Projection Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing, 14th International Conference, 2007

2006

Solving Pseudomonotone Variational Inequalities and Pseudoconvex Optimization Problems Using the Projection Neural Network.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2006

Global stability of a recurrent neural network for solving pseudomonotone variational inequalities.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

A Recurrent Neural Network for Solving Nonconvex Optimization Problems.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2006

Solving Extended Linear Programming Problems Using a Class of Recurrent Neural Networks.

[BibT_eX]

[DOI]