Hongtao Lu

Orcid: 0000-0003-2300-3039

Affiliations:
  • Shanghai Jiao Tong University, Shanghai, China


According to our database1, Hongtao Lu authored at least 196 papers between 1995 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Structural and Statistical Texture Knowledge Distillation and Learning for Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2025

BECAME: BayEsian Continual Learning with Adaptive Model MErging.
CoRR, April, 2025

Structural and Statistical Texture Knowledge Distillation and Learning for Segmentation.
CoRR, March, 2025

Generating Negative Samples for Multi-Modal Recommendation.
CoRR, January, 2025

Learning Auxiliary Representations With Inconsistency-Guided Detail Regularization for Mask-Guided Matting.
IEEE Trans. Multim., 2025

Towards Personalized Federated Multi-Scenario Multi-Task Recommendation.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Few-shot Implicit Function Generation via Equivariance.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Adaptive Task-Wise Message Passing for Multi-Task Learning: A Spatial Interaction Perspective.
IEEE Trans. Circuits Syst. Video Technol., October, 2024

BPJDet: Extended Object Representation for Generic Body-Part Joint Detection.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2024

T-Skeleton: Accurate scene text detection via instance-aware skeleton embedding.
IET Image Process., May, 2024

Spammer detection on short video applications.
Pattern Recognit. Lett., January, 2024

Prompt Guided Transformer for Multi-Task Dense Prediction.
IEEE Trans. Multim., 2024

Superpixel Guided Network for Weakly Supervised Semantic Segmentation.
IEEE Signal Process. Lett., 2024

Library book recommendation with CNN-FM deep learning approach.
Libr. Hi Tech, 2024

TFUT: Task fusion upward transformer model for multi-task learning on dense prediction.
Comput. Vis. Image Underst., 2024

Topology-Aware Popularity Debiasing via Simplicial Complexes.
CoRR, 2024

Tree-of-Table: Unleashing the Power of LLMs for Enhanced Large-Scale Table Understanding.
CoRR, 2024

Differentiable Gaussian Representation for Incomplete CT Reconstruction.
CoRR, 2024

NT-LLM: A Novel Node Tokenizer for Integrating Graph Structure into Large Language Models.
CoRR, 2024

Towards Personalized Federated Multi-scenario Multi-task Recommendation.
CoRR, 2024

Semi-Supervised Unconstrained Head Pose Estimation in the Wild.
CoRR, 2024

Learning Multiple Representations with Inconsistency-Guided Detail Regularization for Mask-Guided Matting.
CoRR, 2024

View-Centric Multi-Object Tracking with Homographic Matching in Moving UAV.
CoRR, 2024

Boosting Semi-Supervised 2D Human Pose Estimation by Revisiting Data Augmentation and Consistency Training.
CoRR, 2024

MMAT: Multi-scale Multi-attention Transformer for Fine-Grained Wild Fungi Visual Classification.
Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

Task-Interaction-Free Multi-Task Learning with Efficient Hierarchical Feature Representation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Federated Multi-Task Learning on Non-IID Data Silos: An Experimental Study.
Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

DAG: Deep Adaptive and Generative <i>K</i>-Free Community Detection on Attributed Graphs.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Beyond Binary Preference: Leveraging Bayesian Approaches for Joint Optimization of Ranking and Calibration.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Integrating Semantic Segmentation Model for Self-Supervised Scene Flow Estimation via Cross Task Distillation.
Proceedings of the International Joint Conference on Neural Networks, 2024

PPTFormer: Pseudo Multi-Perspective Transformer for UAV Segmentation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Discrete Latent Perspective Learning for Segmentation and Detection.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Decoupling Classification and Localization of CLIP.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

BARTENDER: A simple baseline model for task-level heterogeneous federated learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

PA-SAM: Prompt Adapter SAM for High-Quality Image Segmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

CGCUT: Unpaired Image-to-Image Translation via Cluster-Guided Contrastive Learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Enhancing Cross-Domain Detection: Adaptive Class-Aware Contrastive Transformer.
Proceedings of the IEEE International Conference on Acoustics, 2024

UNIDEAL: Curriculum Knowledge Distillation Federated Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024

Task Indicating Transformer for Task-Conditional Dense Predictions.
Proceedings of the IEEE International Conference on Acoustics, 2024

Changenet: Multi-Temporal Asymmetric Change Detection Dataset.
Proceedings of the IEEE International Conference on Acoustics, 2024

YOLO-Med : Multi-Task Interaction Network for Biomedical Images.
Proceedings of the IEEE International Conference on Acoustics, 2024

Mediate: Mixture Domain Model-Agnostic Federated Learning.
Proceedings of the Database Systems for Advanced Applications, 2024

Towards Mixture of Task-Intensive Experts for Multi-task Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2024

Fedhca<sup>2</sup>: Towards Hetero-Client Federated Multi-Task Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
USMLP: U-shaped Sparse-MLP network for mass segmentation in mammograms.
Image Vis. Comput., September, 2023

Arbitrary shape scene text detector with accurate text instance generation based on instance-relevant contexts.
Multim. Tools Appl., May, 2023

Trimap-guided feature mining and fusion network for natural image matting.
Comput. Vis. Image Underst., April, 2023

SSDA-YOLO: Semi-supervised domain adaptive YOLO for cross-domain object detection.
Comput. Vis. Image Underst., March, 2023

Single Person Dense Pose Estimation via Geometric Equivariance Consistency.
IEEE Trans. Multim., 2023

RAFT-MSF: Self-Supervised Monocular Scene Flow Using Recurrent Optimizer.
Int. J. Comput. Vis., 2023

Towards Hetero-Client Federated Multi-Task Learning.
CoRR, 2023

Combining Past, Present and Future: A Self-Supervised Approach for Class Incremental Learning.
CoRR, 2023

DirectMHP: Direct 2D Multi-Person Head Pose Estimation with Full-range Angles.
CoRR, 2023

T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations.
CoRR, 2023

Radiologists with assistance of deep learning can achieve overall accuracy of benign-malignant differentiation of musculoskeletal tumors comparable with that of pre-surgical biopsies in the literature.
Int. J. Comput. Assist. Radiol. Surg., 2023

Position-Aware Subgraph Neural Networks with Data-Efficient Learning.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Cooperative Self-Training for Multi-Target Adaptive Semantic Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Guided Patch-Grouping Wavelet Transformer with Spatial Congruence for Ultra-High Resolution Segmentation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Multi-scale Local Region-Based Facial Action Unit Detection with Graph Convolutional Network.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Landmark-Assisted Facial Action Unit Detection with Optimal Attention and Contrastive Learning.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Body-Part Joint Detection and Association via Extended Object Representation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Scale-Aware Task Message Transferring for Multi-Task Learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Stuart: Individualized Classroom Observation of Students with Automatic Behavior Recognition And Tracking.
Proceedings of the IEEE International Conference on Acoustics, 2023

Spammer Detection on Short Video Applications: A new Challenge and Baselines.
Proceedings of the IEEE International Conference on Acoustics, 2023

Generating Human Motion from Textual Descriptions with Discrete Representations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

A Simple Framework for Text-Supervised Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Contrast, Stylize and Adapt: Unsupervised Contrastive Learning Framework for Domain Adaptive Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Ultra-High Resolution Segmentation with Ultra-Rich Context: A Novel Benchmark.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
ULN: An efficient face recognition method for person wearing a mask.
Multim. Tools Appl., 2022

Efficient dual attention SlowFast networks for video action recognition.
Comput. Vis. Image Underst., 2022

Enhanced discriminative graph convolutional network with adaptive temporal modelling for skeleton-based action recognition.
Comput. Vis. Image Underst., 2022

An Intuitive and Unconstrained 2D Cube Representation for Simultaneous Head Detection and Pose Estimation.
CoRR, 2022

EDEN: A Plug-in Equivariant Distance Encoding to Beyond the 1-WL Test.
CoRR, 2022

Completely Heterogeneous Federated Learning.
CoRR, 2022

Joint Multi-Person Body Detection and Orientation Estimation via One Unified Embedding.
CoRR, 2022

NoMorelization: Building Normalizer-Free Models from a Sample's Perspective.
CoRR, 2022

Reinforcing Local Feature Representation for Weakly-Supervised Dense Crowd Counting.
CoRR, 2022

student dangerous behavior detection in school.
CoRR, 2022

Merged U-Net for Bone Tumors X-Ray Images Segmentation.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Coneface: Approximate Pairwise Loss for Face Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2022

Exploring Category Consistency for Weakly Supervised Semantic Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2022

Structural and Statistical Texture Knowledge Distillation for Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Smart library book sorting application with intelligence computer vision technology.
Libr. Hi Tech, 2021

A lightweight network for monocular depth estimation with decoupled body and edge supervision.
Image Vis. Comput., 2021

Multi-modal constraint propagation via compatible conditional distribution reconstruction.
Neurocomputing, 2021

Small and accurate heatmap-based face alignment via distillation strategy and cascaded architecture.
Comput. Vis. Image Underst., 2021

FreqNet: A Frequency-domain Image Super-Resolution Network with Dicrete Cosine Transform.
CoRR, 2021

PANet: Perspective-Aware Network with Dynamic Receptive Fields and Self-Distilling Supervision for Crowd Counting.
CoRR, 2021

A Robust and Effective Text Detector Supervised by Contrastive Learning.
IEEE Access, 2021

Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Spatial Gradient Guided Learning and Semantic Relation Transfer for Facial Landmark Detection.
Proceedings of the MultiMedia Modeling - 27th International Conference, 2021

ShallowNet: An Efficient Lightweight Text Detection Network Based on Instance Count-Aware Supervision Information.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Text Detection by Jointly Learning Character and Word Regions.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

Laplacian Regularized Tensor Low-Rank Minimization for Hyperspectral Snapshot Compressive Imaging.
Proceedings of the IEEE International Conference on Acoustics, 2021

Semi-deterministic and Contrastive Variational Graph Autoencoder for Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Towards Dynamic and Scalable Active Learning with Neural Architecture Adaption for Object Detection.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Intelligent Student Fighting Recognition System in Schools.
Proceedings of the 14th International Congress on Image and Signal Processing, 2021

2020
Hierarchical Opacity Propagation for Image Matting.
CoRR, 2020

Image-based Table Cell Detection: a Novel Table Structure Decomposition Method with New Dataset.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Inductive Guided Filter: Real-Time Deep Matting with Weakly Annotated Masks on Mobile Devices.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

LRNNET: A Light-Weighted Network with Efficient Reduced Non-Local Operation for Real-Time Semantic Segmentation.
Proceedings of the 2020 IEEE International Conference on Multimedia & Expo Workshops, 2020

Missing Frame Detection of Surveillance Videos Based on Deep Learning in Forensic Science.
Proceedings of the ICCAI '20: 2020 6th International Conference on Computing and Artificial Intelligence, 2020

Ensemble-Based Deep Metric Learning for Few-Shot Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Natural Image Matting via Guided Contextual Attention.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Community detection in scientific collaborative network with bayesian matrix learning.
Frontiers Comput. Sci., 2019

Inductive Guided Filter: Real-time Deep Image Matting with Weakly Annotated Masks on Mobile Devices.
CoRR, 2019

Spatial Shortcut Network for Human Pose Estimation.
CoRR, 2019

Improve Image Captioning by Self-attention.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

FH-GAN: Face Hallucination and Recognition Using Generative Adversarial Network.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Temporal Continuity Based Unsupervised Learning for Person Re-identification.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Data Quality Management in Institutional Research Output Data Center.
Proceedings of the Database Systems for Advanced Applications, 2019

Attribute-Driven Feature Disentangling and Temporal Aggregation for Video Person Re-Identification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Community Detection in Knowledge Graph Network with Matrix Factorization Learning.
Proceedings of the Web and Big Data, 2019

2018
On Multi-modal Fusion Learning in constraint propagation.
Inf. Sci., 2018

Image Recognition with Deep Learning for Library Book Identification.
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

End to end multi-scale convolutional neural network for crowd counting.
Proceedings of the Eleventh International Conference on Machine Vision, 2018

Anisotropic Total Variation Regularized Low-Rank Tensor Completion Based On Tensor Nuclear Norm for Color Image Inpainting.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

An Adversarial Approach to Hard Triplet Generation.
Proceedings of the Computer Vision - ECCV 2018, 2018

Multilevel Collaborative Attention Network for Person Search.
Proceedings of the Computer Vision - ACCV 2018, 2018

Efficient Multi-Dimensional Tensor Sparse Coding Using t-Linear Combination.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Generalized Residual Vector Quantization and Aggregating Tree for Large Scale Search.
IEEE Trans. Multim., 2017

Efficient Two-Dimensional Sparse Coding Using Tensor-Linear Combination.
CoRR, 2017

Spatio-Temporal AutoEncoder for Video Anomaly Detection.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Stylized Adversarial AutoEncoder for Image Generation.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Learning deep representations with diode loss for quantization-based similarity search.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Space shuttle model: A physics inspired method for learning quantizable deep representations.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Quantizable deep representation learning with gradient snapping layer for large scale search.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Graph regularized tensor sparse coding for image representation.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Adaptive Overlapping Community Detection with Bayesian NonNegative Matrix Factorization.
Proceedings of the Database Systems for Advanced Applications, 2017

2016
Accurate Deep Representation Quantization with Gradient Snapping Layer for Similarity Search.
CoRR, 2016

Multi-View Constraint Propagation with Consensus Prior Knowledge.
CoRR, 2016

LSOD: Local Sparse Orthogonal Descriptor for Image Matching.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Deep CTR Prediction in Display Advertising.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Accelerated distance computation with encoding tree/forest for high dimensional data.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

Generalized residual vector quantization for large scale data.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

Adaptive affinity matrix for unsupervised metric learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

Online self-organizing hashing.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

Aggregating Tree for Searching in Billion Scale High Dimensional Data.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Community Inference with Bayesian Non-negative Matrix Factorization.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

2015
Non-negative Matrix Factorization with Pairwise Constraints and Graph Laplacian.
Neural Process. Lett., 2015

Local similarity learning for pairwise constraint propagation.
Multim. Tools Appl., 2015

HCLAE: High Capacity Locally Aggregating Encodings for Approximate Nearest Neighbor Search.
CoRR, 2015

Accelerated Distance Computation with Encoding Tree for High Dimensional Data.
CoRR, 2015

Improved Residual Vector Quantization for High-dimensional Approximate Nearest Neighbor Search.
CoRR, 2015

Learning Better Encoding for Approximate Nearest Neighbor Search with Dictionary Annealing.
CoRR, 2015

Adaptive Affinity Matrix for Unsupervised Metric Learning.
CoRR, 2015

Constrained Non-negative Matrix Factorization with Graph Laplacian.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Distance Preserving Marginal Hashing for image retrieval.
Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015

Graph regularized non-negative local coordinate factorization with pairwise constraints for image representation.
Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015

Community Detection in Social Network with Pairwisely Constrained Symmetric Non-Negative Matrix Factorization.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014
Non-negative and sparse spectral clustering.
Pattern Recognit., 2014

Pairwise constrained concept factorization for data representation.
Neural Networks, 2014

Semi-supervised non-negative matrix factorization for image clustering with graph Laplacian.
Multim. Tools Appl., 2014

An integrated Gaussian mixture model to estimate vigilance level based on EEG recordings.
Neurocomputing, 2014

Locality Preserving Discriminative Hashing.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

2013
Image Classification Based on Weight Adjustment before Feature Pooling.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

2012
Novel robust image watermarking based on subsampling and DWT.
Multim. Tools Appl., 2012

Incremental visual objects clustering with the growing vocabulary tree.
Multim. Tools Appl., 2012

Modalities consensus for multi-modal constraint propagation.
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Multi-task co-clustering via nonnegative matrix factorization.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011
Digital image splicing detection based on approximate run length.
Pattern Recognit. Lett., 2011

Revealing digital fakery using multiresolution decomposition and higher order statistics.
Eng. Appl. Artif. Intell., 2011

Multi-modal constraint propagation for heterogeneous image clustering.
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

An Integrated Hierarchical Gaussian Mixture Model to Estimate Vigilance Level Based on EEG Recordings.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Symmetric Graph Regularized Constraint Propagation.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Feature based robust watermarking using image normalization.
Comput. Electr. Eng., 2010

Blind image watermark analysis using higher order statistics.
Proceedings of the Sixth International Conference on Natural Computation, 2010

Large Scale Visual Classification via Learned Dictionaries and Sparse Representation.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2010

2009
Evolutionary Discriminant Feature Extraction with Application to Face Recognition.
EURASIP J. Adv. Signal Process., 2009

Robust watermarking based on DWT and nonnegative matrix factorization.
Comput. Electr. Eng., 2009

Enriched Gabor Feature Based PCA for Face Recognition with One Training Image per Person.
Proceedings of the Fifth International Conference on Natural Computation, 2009

2008
Robust Watermarking based on Subsampling and Nonnegative Matrix Factorization.
Informatica, 2008

Detecting fake images using watermarks and support vector machines.
Comput. Stand. Interfaces, 2008

Blind Image Watermark Analysis Using Feature Fusion and Neural Network Classifier.
Proceedings of the Advances in Neural Networks, 2008

2007
Novel robust image watermarking using difference correlation detector.
Comput. Stand. Interfaces, 2007

Bagging Evolutionary Feature Extraction Algorithm for Classification.
Proceedings of the Third International Conference on Natural Computation, 2007

2006
A fast evolutionary pursuit algorithm based on linearly combining vectors.
Pattern Recognit., 2006

Blind Fake Image Detection Scheme Using SVD.
IEICE Trans. Commun., 2006

Feature based watermarking using watermark template match.
Appl. Math. Comput., 2006

Robust digital image watermarking based on subsampling.
Appl. Math. Comput., 2006

Parsimonious Feature Extraction Based on Genetic Algorithms and Support Vector Machines.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Robust Image Watermarking Using RBF Neural Network.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Image Fakery and Neural Network Based Detection.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

A Direct Evolutionary Feature Extraction Algorithm for Classifying High Dimensional Data.
Proceedings of the Proceedings, 2006

2005
Global exponential convergence of Cohen-Grossberg neural networks with time delays.
IEEE Trans. Neural Networks, 2005

Absolute exponential stability of a class of recurrent neural networks with multiple and variable delays.
Theor. Comput. Sci., 2005

Global exponential stability of delayed competitive neural networks with different time scales.
Neural Networks, 2005

A novel image watermarking scheme based on support vector regression.
J. Syst. Softw., 2005

Attacking Subsampling-Based Watermarking.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2005

Subsampling-Based Robust Watermarking Using Neural Network Detector.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

SVR-Based Oblivious Watermarking Scheme.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

2004
Some sufficient conditions for global exponential stability of delayed Hopfield neural networks.
Neural Networks, 2004

Color Image Watermarking Based on Neural Networks.
Proceedings of the Advances in Neural Networks, 2004

Optimal Watermark Detection Based on Support Vector Machines.
Proceedings of the Advances in Neural Networks, 2004

1995
A New Type of Chaotic Attractor with Cellular Neural Networks.
Proceedings of the 1995 IEEE International Symposium on Circuits and Systems, ISCAS 1995, Seattle, Washington, USA, April 30, 1995

On the Capacity of Intraconnected Bidirectional Associative Memory.
Proceedings of the 1995 IEEE International Symposium on Circuits and Systems, ISCAS 1995, Seattle, Washington, USA, April 30, 1995


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