Hu Lu

Orcid: 0000-0003-0350-4055

According to our database1, Hu Lu authored at least 46 papers between 2001 and 2024.

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

Timeline

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Bibliography

2024
Deep Self-Supervised Attributed Graph Clustering for Social Network Analysis.
Neural Process. Lett., April, 2024

Learning shared features from specific and ambiguous descriptions for text-based person search.
Multim. Syst., April, 2024

A Similarity Matrix Low-Rank Approximation and Inconsistency Separation Fusion Approach for Multiview Clustering.
IEEE Trans. Artif. Intell., February, 2024

Enhancing parcel singulation efficiency through transformer-based position attention and state space augmentation.
Expert Syst. Appl., 2024

Soft-orthogonal constrained dual-stream encoder with self-supervised clustering network for brain functional connectivity data.
Expert Syst. Appl., 2024

Enhancing Reinforcement Learning via Causally Correct Input Identification and Targeted Intervention.
Proceedings of the IEEE International Conference on Acoustics, 2024

Enhanced Deep Reinforcement Learning for Parcel Singulation in Non-Stationary Environments.
Proceedings of the IEEE International Conference on Acoustics, 2024

TOP-ReID: Multi-Spectral Object Re-identification with Token Permutation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Two Path Gland Segmentation Algorithm of Colon Pathological Image Based on Local Semantic Guidance.
IEEE J. Biomed. Health Informatics, April, 2023

Deep subspace image clustering network with self-expression and self-supervision.
Appl. Intell., February, 2023

Edge-AI-Driven Framework with Efficient Mobile Network Design for Facial Expression Recognition.
ACM Trans. Embed. Comput. Syst., 2023

Deep Self-Supervised Graph Attention Convolution Autoencoder for Networks Clustering.
IEEE Trans. Consumer Electron., 2023

Multi-scale Semantic Correlation Mining for Visible-Infrared Person Re-Identification.
CoRR, 2023

Data Fusion-based graph representation learning for brain disease recognition.
Proceedings of the 4th International Conference on Big Data & Artificial Intelligence & Software Engineering, 2023

Learning Progressive Modality-Shared Transformers for Effective Visible-Infrared Person Re-identification.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Improved deep convolutional embedded clustering with re-selectable sample training.
Pattern Recognit., 2022

Dual-stream encoder neural networks with spectral constraint for clustering functional brain connectivity data.
Neural Comput. Appl., 2022

Encoder-decoder assisted image generation for person re-identification.
Multim. Tools Appl., 2022

Learning Group-Disentangled Representation for Interpretable Thoracic Pathologic Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Deep multi-kernel auto-encoder network for clustering brain functional connectivity data.
Neural Networks, 2021

Click-cut: a framework for interactive object selection.
Multim. Tools Appl., 2021

Multi-atlas classification of autism spectrum disorder with hinge loss trained deep architectures: ABIDE I results.
Appl. Soft Comput., 2021

Pyramid Spatial-Temporal Aggregation for Video-based Person Re-Identification.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Network Structural Transformation-Based Community Detection with Autoencoder.
Symmetry, 2020

Multiple-kernel combination fuzzy clustering for community detection.
Soft Comput., 2020

Multi-kernel fuzzy clustering based on auto-encoder for fMRI functional network.
Expert Syst. Appl., 2020

2019
An improved learning algorithm for random neural networks based on particle swarm optimization and input-to-output sensitivity.
Cogn. Syst. Res., 2019

Brain Functional Connectivity Augmentation Method for Mental Disease Classification with Generative Adversarial Network.
Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

Characterizing and Identifying Autism Disorder Using Regional Connectivity Patterns and Extreme Gradient Boosting Classifier.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Image Segmentation Based on Deep Learning Features.
Proceedings of the Eleventh International Conference on Advanced Computational Intelligence, 2019

2018
Saliency Detection Based on Deep Learning and Graph Cut.
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Planar Object Tracking in the Wild: A Benchmark.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

A Method for PET-CT Lung Cancer Segmentation based on Improved Random Walk.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Modularity Maximization for Community Detection Using Genetic Algorithm.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Automatic Identification of Network Communities by Novel Method of Measure.
Proceedings of the 14th International Conference on Natural Computation, 2018

Classify autism and control based on deep learning and community structure on resting-state fMRI.
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

Failure Discrimination Mechanism Joint Blocking Training for Target Tracking.
Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence, 2018

2017
Detecting Community Structure Based on Optimized Modularity by Genetic Algorithm in Resting-State fMRI.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

Evolutionary Modularity Optimization Clustering of Neuronal Spike Trains.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

An Improved Evolutionary Random Neural Networks Based on Particle Swarm Optimization and Input-to-Output Sensitivity.
Proceedings of the Intelligent Computing Theories and Application, 2017

2015
Partitioning the Firing Patterns of Spike Trains by Community Modularity.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014
Evolutionary Clustering Detection of Similarity in Neuronal Spike Patterns.
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014

Hierarchical organization in neuronal functional networks during working memory tasks.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
Discovering the Multi-neuronal Firing Patterns Based on a New Binless Spike Trains Measure.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

2012
A small-world of neuronal functional network from multi-electrode recordings during a working memory task.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2001
Optimal Trading Mechanisms with Ex Ante Unidentified Traders.
J. Econ. Theory, 2001


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