Xiang Zhang

Orcid: 0000-0002-5201-3802

Affiliations:
  • National University of Defense Technology, College of Computer, Science and Technology on Parallel and Distributed Processing Laboratory, Changsha, China


According to our database1, Xiang Zhang authored at least 95 papers between 2012 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
SiamATTRPN: Enhance Visual Tracking With Channel and Spatial Attention.
IEEE Trans. Comput. Soc. Syst., April, 2024

Discriminative object tracking by domain contrast.
Comput. Vis. Image Underst., February, 2024

2023
Discriminative Geometric-Structure-Based Deep Hashing for Large-Scale Image Retrieval.
IEEE Trans. Cybern., October, 2023

Class-specific and self-learning local manifold structure for domain adaptation.
Pattern Recognit., October, 2023

SiamDF: Tracking training data-free siamese tracker.
Neural Networks, August, 2023

Online intervention siamese tracking.
Inf. Sci., August, 2023

Local-to-Global Deep Clustering on Approximate Uniform Manifold.
IEEE Trans. Knowl. Data Eng., May, 2023

Reducing bi-level feature redundancy for unsupervised domain adaptation.
Pattern Recognit., May, 2023

Domain-specific feature recalibration and alignment for multi-source unsupervised domain adaptation.
IET Comput. Vis., February, 2023

Learning to Purification for Unsupervised Person Re-Identification.
IEEE Trans. Image Process., 2023

MotionTrack: Learning Motion Predictor for Multiple Object Tracking.
CoRR, 2023

Semantics-Enriched Cross-Modal Alignment for Complex-Query Video Moment Retrieval.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Atomic-action-based Contrastive Network for Weakly Supervised Temporal Language Grounding.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022
A Simple Yet Effective Layered Loss for Pre-Training of Network Embedding.
IEEE Trans. Netw. Sci. Eng., 2022

An Integrated Multi-Task Model for Fake News Detection.
IEEE Trans. Knowl. Data Eng., 2022

Label Propagated Nonnegative Matrix Factorization for Clustering.
IEEE Trans. Knowl. Data Eng., 2022

Informative pairs mining based adaptive metric learning for adversarial domain adaptation.
Neural Networks, 2022

Multi-scale local cues and hierarchical attention-based LSTM for stock price trend prediction.
Neurocomputing, 2022

Multi-scale Knowledge Distillation for Unsupervised Person Re-Identification.
CoRR, 2022

On the Equity of Nuclear Norm Maximization in Unsupervised Domain Adaptation.
CoRR, 2022

Joint Modality Synergy and Spatio-temporal Cue Purification for Moment Localization.
Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

Implicit Feature Alignment For Knowledge Distillation.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Frustratingly Easy Knowledge Distillation via Attentive Similarity Matching.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Self-Reinforcing Feedback Domain Adaptation Channel.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Logit Distillation via Student Diversity.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Counterfactual Causal Adversarial Networks for Domain Adaptation.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Dynamic Hypergraph Convolutional Network.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021
Nocal-Siam: Refining Visual Features and Response With Advanced Non-Local Blocks for Real-Time Siamese Tracking.
IEEE Trans. Image Process., 2021

Near-Online Multi-Pedestrian Tracking via Combining Multiple Consistent Appearance Cues.
IEEE Trans. Circuits Syst. Video Technol., 2021

Learning deep discriminative embeddings via joint rescaled features and log-probability centers.
Pattern Recognit., 2021

Improving knowledge distillation via an expressive teacher.
Knowl. Based Syst., 2021

A generic MOT boosting framework by combining cues from SOT, tracklet and re-identification.
Knowl. Inf. Syst., 2021

Semantic-consistent cross-modal hashing for large-scale image retrieval.
Neurocomputing, 2021

Enhancing the association in multi-object tracking via neighbor graph.
Int. J. Intell. Syst., 2021

InterBN: Channel Fusion for Adversarial Unsupervised Domain Adaptation.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Spatio-Temporal Action Detector with Self-Attention.
Proceedings of the International Joint Conference on Neural Networks, 2021

Joint motion context and clip augmentation for spatio-temporal action detection.
Proceedings of the Fourteenth International Conference on Machine Vision, 2021

Entity-Aware Biaffine Attention for Constituent Parsing.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020
Maximum Mean and Covariance Discrepancy for Unsupervised Domain Adaptation.
Neural Process. Lett., 2020

GateCap: Gated spatial and semantic attention model for image captioning.
Multim. Tools Appl., 2020

Object-aware semantics of attention for image captioning.
Multim. Tools Appl., 2020

Enhancing unsupervised domain adaptation by discriminative relevance regularization.
Knowl. Inf. Syst., 2020

Learning sequence-to-sequence affinity metric for near-online multi-object tracking.
Knowl. Inf. Syst., 2020

Improving Unsupervised Domain Adaptation by Reducing Bi-level Feature Redundancy.
CoRR, 2020

Enhancing Stock Price Trend Prediction via a Time-Sensitive Data Augmentation Method.
Complex., 2020

Pythagorean fuzzy MCDM method based on CoCoSo and CRITIC with score function for 5G industry evaluation.
Artif. Intell. Rev., 2020

Correlation Self-Expression Shrunk for Subspace Clustering.
IEEE Access, 2020

Transductive Nonnegative Matrix Tri-Factorization.
IEEE Access, 2020

Robust Similarity-Based Concept Factorization for Data Representation.
IEEE Access, 2020

Towards Making Unsupervised Graph Hashing Robust.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Robust Normalized Squares Maximization for Unsupervised Domain Adaptation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Nonnegative Constrained Graph Based Canonical Correlation Analysis for Multi-view Feature Learning.
Neural Process. Lett., 2019

Stacked Marginal Time Warping for Temporal Alignment.
Neural Process. Lett., 2019

Label guided correlation hashing for large-scale cross-modal retrieval.
Multim. Tools Appl., 2019

Person re-identification via adaptive verification loss.
Neurocomputing, 2019

Cascade Semantic Fusion for Image Captioning.
IEEE Access, 2019

Neighbors-Based Graph Construction for Dimensionality Reduction.
IEEE Access, 2019

Another Robust NMF: Rethinking the Hyperbolic Tangent Function and Locality Constraint.
IEEE Access, 2019

Attentional Residual Dense Factorized Network for Real-Time Semantic Segmentation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

2018
Low-Rank Matrix Recovery via Continuation-Based Approximate Low-Rank Minimization.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Collaborative Subspace Graph Hashing for Cross-modal Retrieval.
Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

Ranking-Embedded Transfer Canonical Correlation Analysis for Person Re-Identification.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Multi-granularity Hierarchical Attention Siamese Network for Visual Tracking.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Box-constrained Discriminant Projective Non-negative Matrix Factorization through Augmented Lagrangian Multiplier Method.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Background Subtraction via 3D Convolutional Neural Networks.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Cross-Layer Convolutional Siamese Network for Visual Tracking.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Discrete Graph Hashing via Affine Transformation.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Graph-Laplacian Correlated Low-Rank Representation for Subspace Clustering.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Margin-Embedding Canonical Correlation Analysis with Feature Selection for Person Re-Identification.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

AttResNet: Attention-based ResNet for Image Captioning.
Proceedings of the 2018 International Conference on Algorithms, 2018

2017
Dependency-based long short term memory network for drug-drug interaction extraction.
BMC Bioinform., 2017

Online discriminant projective non-negative matrix factorization.
Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

Audio visual speech recognition with multimodal recurrent neural networks.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Boxless Action Recognition in Still Images via Recurrent Visual Attention.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Unsupervised domain adaptation with joint supervised sparse coding and discriminative regularization term.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

GNMF Revisited: Joint Robust k-NN Graph and Reconstruction-Based Graph Regularization for Image Clustering.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Attention Focused Spatial Pyramid Pooling for Boxless Action Recognition in Still Images.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

2016
Correntropy induced metric based graph regularized non-negative matrix factorization.
Neurocomputing, 2016

Enhancing temporal alignment with autoencoder regularization.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Symmetric Non-negative Matrix Factorization Based Link Partition Method for Overlapping Community Detection.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Robust Local Coordinate Non-negative Matrix Factorization via Maximum Correntropy Criteria.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Non-negative Low-Rank and Group-Sparse Matrix Factorization.
Proceedings of the MultiMedia Modeling - 21st International Conference, 2015

Two-Dimensional Euler PCA for Face Recognition.
Proceedings of the MultiMedia Modeling - 21st International Conference, 2015

Semi-supervised Non-negative Local Coordinate Factorization.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Constrained Projective Non-negative Matrix Factorization for Semi-supervised Multi-label Learning.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Local Coordinate Projective Non-negative Matrix Factorization.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Labelwalking nonnegative matrix factorization.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
Single image defogging with single and multiple hybrid scattering model.
Proceedings of the Proceedings IEEE International Conference on Security, 2014

Box-constrained projective nonnegative matrix factorization via augmented Lagrangian method.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Soft-constrained nonnegative matrix factorization via normalization.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
Orthogonal Nonnegative Locally Linear Embedding.
Proceedings of the IEEE International Conference on Systems, 2013

2012
Semi-supervised Non-negative Patch Alignment Framework.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Sparse Representation Based Discriminative Canonical Correlation Analysis for Face Recognition.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Graph Based Semi-supervised Non-negative Matrix Factorization for Document Clustering.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Discriminative Locality Preserving Canonical Correlation Analysis.
Proceedings of the Pattern Recognition - Chinese Conference, 2012


  Loading...