Yan Pan

Orcid: 0000-0002-0466-3763

Affiliations:
  • Ministry of Education, Key Laboratory of Machine Intelligence and Advanced Computing, Guangzhou, China
  • Sun Yat-sen University, School of Computer Science and Engineering, Guangzhou, China (PhD 2007)


According to our database1, Yan Pan authored at least 74 papers between 2004 and 2026.

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Bibliography

2026
Inverse-free Jacobian-estimated zeroing neural network model for mechanical arm path tracking with minimal joint motion.
Expert Syst. Appl., 2026

2025
Model-Free and Pseudoinverse-Free Zhang Neurodynamics Scheme for Robotic Arms' Path Tracking Control.
IEEE Trans. Neural Networks Learn. Syst., June, 2025

Causal-TSF: A Causal Intervention Approach to Mitigate Confounding Bias in Time Series Forecasting.
IEEE Trans. Knowl. Data Eng., June, 2025

Efficient Multimodal Selection for Retrieval in Knowledge-Based Visual Question Answering.
IEEE Trans. Circuits Syst. Video Technol., June, 2025

Discrete Jacobian-Pseudoinverse-Free Zhang Neurodynamics Algorithm Handling Path Tracking of Robot Manipulator With Unknown Model.
IEEE Trans Autom. Sci. Eng., 2025

Deep Hashing Based on Feature Fusion Enhancing Hierarchical Transformer with Distance Separated Centers Guided Polarization Loss.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

On the Zero-shot Adversarial Robustness of Vision-Language Models: A Truly Zero-shot and Training-free Approach.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

CISTF: A Causal Inference Method for Stock Trend Forecasting.
Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

2024
ZNN Continuous Model and Discrete Algorithm for Temporally Variant Optimization With Nonlinear Equation Constraints via Novel TD Formula.
IEEE Trans. Syst. Man Cybern. Syst., July, 2024

Design and Analysis of Reciprocal Zhang Neuronet Handling Temporally-Variant Linear Matrix-Vector Equations Applied to Mobile Localization.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

Enhancing Multi-Label Deep Hashing for Image and Audio With Joint Internal Global Loss Constraints and Large Vision-Language Model.
IEEE Signal Process. Lett., 2024

Inverse-free zeroing neural network for time-variant nonlinear optimization with manipulator applications.
Neural Networks, 2024

Vision Transformer Based Hash Coding for Efficient Image and Audio Retrieval with Global and Local Equilibrium Distance Constraints.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

Enhancing Event Tagger with Automatic Speech Recognizer for Audio Multi-task Scenarios by Distillation with Pre-Trained Large Models.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

MAMixer: Multivariate Time Series Forecasting via Multi-axis Mixing.
Proceedings of the MultiMedia Modeling - 30th International Conference, 2024

Long-Tailed Hashing with Wasserstein Quantization.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

MALIP: Improving Few-Shot Image Classification with Multimodal Fusion Enhancement.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

MimicDiffusion: Purifying Adversarial Perturbation via Mimicking Clean Diffusion Model.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Deep Hashing with Triplet Loss of Hash Centers and Dissimilar Pairs for Image Retrieval.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2023
Improving Entropy-Based Test-Time Adaptation from a Clustering View.
CoRR, 2023

Efficient Hash Coding for Image Retrieval Based on Improved Center Generation and Contrastive Pre-training Knowledge Model.
Proceedings of the Knowledge Science, Engineering and Management, 2023

Deep Hashing for Multi-label Image Retrieval with Similarity Matrix Optimization of Hash Centers and Anchor Constraint of Center Pairs.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Multi-label Image Deep Hashing with Hybrid Loss of Global Center and Local Alignment.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

Deep Hashing with Minimal-Distance-Separated Hash Centers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Deep Listwise Triplet Hashing for Fine-Grained Image Retrieval.
IEEE Trans. Image Process., 2022

Multiview Spectral Clustering via Robust Subspace Segmentation.
IEEE Trans. Cybern., 2022

Optimizing Evaluation Metrics for Multi-Task Learning via the Alternating Direction Method of Multipliers.
CoRR, 2022

ViT2Hash: Unsupervised Information-Preserving Hashing.
CoRR, 2022

Image Retrieval with Well-Separated Semantic Hash Centers.
Proceedings of the Computer Vision - ACCV 2022, 2022

2021
Variable-Length Metric Learning for Fast Image Retrieval.
Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021

2020
Improving Deep Binary Embedding Networks by Order-Aware Reweighting of Triplets.
IEEE Trans. Circuits Syst. Video Technol., 2020

Robust multi-view clustering via inter-and-intra-view low rank fusion.
Neurocomputing, 2020

2019
Clothing Landmark Detection Using Deep Networks With Prior of Key Point Associations.
IEEE Trans. Cybern., 2019

Improved Search in Hamming Space Using Deep Multi-Index Hashing.
IEEE Trans. Circuits Syst. Video Technol., 2019

Feature Pyramid Hashing.
Proceedings of the 2019 on International Conference on Multimedia Retrieval, 2019

2018
Object-Location-Aware Hashing for Multi-Label Image Retrieval via Automatic Mask Learning.
IEEE Trans. Image Process., 2018

Optimizing Evaluation Metrics for Multitask Learning via the Alternating Direction Method of Multipliers.
IEEE Trans. Cybern., 2018

Deep Recurrent Regression for Facial Landmark Detection.
IEEE Trans. Circuits Syst. Video Technol., 2018

EGRank: An exponentiated gradient algorithm for sparse learning-to-rank.
Inf. Sci., 2018

Improving Deep Binary Embedding Networks by Order-aware Reweighting of Triplets.
CoRR, 2018

2017
Personalized and Occupational-aware Age Progression by Generative Adversarial Networks.
CoRR, 2017

HashGAN: Attention-aware Deep Adversarial Hashing for Cross Modal Retrieval.
CoRR, 2017

Transductive Zero-Shot Hashing via Coarse-to-Fine Similarity Mining.
CoRR, 2017

Improved Search in Hamming Space using Deep Multi-Index Hashing.
CoRR, 2017

Multi-view Spectral Clustering via Tensor-SVD Decomposition.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

2016
FP-CNNH: 一种基于深度卷积神经网络的快速图像哈希算法 (FP-CNNH: A Fast Image Hashing Algorithm Based on Deep Convolutional Neural Network).
计算机科学, 2016

Margin-based two-stage supervised hashing for image retrieval.
Neurocomputing, 2016

Modelling Sentence Pairs with Tree-structured Attentive Encoder.
Proceedings of the COLING 2016, 2016

2015
A Divide-and-Conquer Method for Scalable Robust Multitask Learning.
IEEE Trans. Neural Networks Learn. Syst., 2015

Simultaneous feature learning and hash coding with deep neural networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
A DFA with Extended Character-Set for Fast Deep Packet Inspection.
IEEE Trans. Computers, 2014

Scalable opportunistic forwarding algorithms in delay tolerant networks using similarity hashing.
Proceedings of the Eleventh Annual IEEE International Conference on Sensing, 2014

A Localized Efficient Forwarding Algorithm in Large-Scale Delay Tolerant Networks.
Proceedings of the 11th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2014

Efficient k-Support Matrix Pursuit.
Proceedings of the Computer Vision - ECCV 2014, 2014

Supervised Hashing for Image Retrieval via Image Representation Learning.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Robust Multi-View Spectral Clustering via Low-Rank and Sparse Decomposition.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
FSMRank: Feature Selection Algorithm for Learning to Rank.
IEEE Trans. Neural Networks Learn. Syst., 2013

Sparse Learning-to-Rank via an Efficient Primal-Dual Algorithm.
IEEE Trans. Computers, 2013

Efficient gradient descent algorithm for sparse models with application in learning-to-rank.
Knowl. Based Syst., 2013

A Divide-and-Conquer Method for Scalable Low-Rank Latent Matrix Pursuit.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Rank Aggregation via Low-Rank and Structured-Sparse Decomposition.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Integrating Graph Partitioning and Matching for Trajectory Analysis in Video Surveillance.
IEEE Trans. Image Process., 2012

A Relational Ranking Method with Generalization Analysis.
Int. J. Artif. Intell. Tools, 2012

2011
Learning to rank with document ranks and scores.
Knowl. Based Syst., 2011

Question Classification using Multiple Kernel Learning and Semantic Information.
J. Comput., 2011

Color style transfer by constraint locally linear embedding.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Greedy feature selection for ranking.
Proceedings of the 2011 15th International Conference on Computer Supported Cooperative Work in Design, 2011

2010
Question Classification Using Profile Hidden Markov Models.
Int. J. Artif. Intell. Tools, 2010

Learning to rank with a Weight Matrix.
Proceedings of the 2010 14th International Conference on Computer Supported Cooperative Work in Design, 2010

2008
Question classification with semantic tree kernel.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

2006
Time Performance Evaluation for Workflow Based on Extended FTWF-nets.
Proceedings of the 10th International Conference on CSCW in Design, 2006

Upper Bound Estimation of Turnaround Time Based on Fuzzy Temporal Workflow Net.
Proceedings of the 10th International Conference on CSCW in Design, 2006

2005
Workflow Analysis Based on Fuzzy Temporal Workflow Nets.
Proceedings of the Computer Supported Cooperative Work in Design II, 2005

2004
Concepts, Model and Framework of Cooperative Software Engineering.
Proceedings of the Computer Supported Cooperative Work in Design I, 2004


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