Hu Lu

According to our database, Hu Lu authored at least 42 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Deep Self-Supervised Attributed Graph Clustering for Social Network Analysis.

Hu Lu, Haotian Hong, Xia Geng

Neural Process. Lett., April, 2024

Learning shared features from specific and ambiguous descriptions for text-based person search.

Ke Cheng, Qikai Geng, Shucheng Huang, Juanjuan Tu, Hu Lu

Multim. Syst., April, 2024

A Similarity Matrix Low-Rank Approximation and Inconsistency Separation Fusion Approach for Multiview Clustering.

Ziqiang He, Shaohua Wan, Marco Zappatore, Hu Lu

IEEE Trans. Artif. Intell., February, 2024

TOP-ReID: Multi-Spectral Object Re-identification with Token Permutation.

Yuhao Wang, Xuehu Liu, Pingping Zhang, Hu Lu, Zhengzheng Tu, Huchuan Lu

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.

Songtao Ding, Hongyu Wang, Hu Lu, Michele Nappi, Shaohua Wan

IEEE J. Biomed. Health Informatics, April, 2023

Deep subspace image clustering network with self-expression and self-supervision.

Chao Chen, Hu Lu, Hui Wei, Xia Geng

Appl. Intell., February, 2023

Edge-AI-Driven Framework with Efficient Mobile Network Design for Facial Expression Recognition.

Yirui Wu, Lilai Zhang, Zonghua Gu, Hu Lu, Shaohua Wan

ACM Trans. Embed. Comput. Syst., 2023

Deep Self-Supervised Graph Attention Convolution Autoencoder for Networks Clustering.

Chao Chen, Hu Lu, Haotian Hong, Hai Wang, Shaohua Wan

IEEE Trans. Consumer Electron., 2023

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

Ke Cheng, Xuecheng Hua, Hu Lu, Juanjuan Tu, Yuanquan Wang, Shitong Wang

CoRR, 2023

Data Fusion-based graph representation learning for brain disease recognition.

Baixue Huang, Hu Lu

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.

Hu Lu, Xuezhang Zou, Pingping Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Improved deep convolutional embedded clustering with re-selectable sample training.

Hu Lu, Chao Chen, Hui Wei, Zhongchen Ma, Ke Jiang, Yingquan Wang

Pattern Recognit., 2022

Dual-stream encoder neural networks with spectral constraint for clustering functional brain connectivity data.

Hu Lu, Tingting Jin

Neural Comput. Appl., 2022

Encoder-decoder assisted image generation for person re-identification.

Yingquan Wang, Ke Jiang, Hu Lu, Ziheng Xu, Gaojian Li, Chao Chen, Xia Geng

Multim. Tools Appl., 2022

Learning Group-Disentangled Representation for Interpretable Thoracic Pathologic Prediction.

Hao Li, Yirui Wu, Hexuan Hu, Hu Lu, Yong Lai, Shaohua Wan

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Deep multi-kernel auto-encoder network for clustering brain functional connectivity data.

Hu Lu, Saixiong Liu, Hui Wei, Chao Chen, Xia Geng

Neural Networks, 2021

Click-cut: a framework for interactive object selection.

Hu Lu

Multim. Tools Appl., 2021

Multi-atlas classification of autism spectrum disorder with hinge loss trained deep architectures: ABIDE I results.

Thomas Martial Epalle, Yuqing Song, Zhe Liu, Hu Lu

Appl. Soft Comput., 2021

Pyramid Spatial-Temporal Aggregation for Video-based Person Re-Identification.

Yingquan Wang, Pingping Zhang, Shang Gao, Xia Geng, Hu Lu, Dong Wang

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

2020

Network Structural Transformation-Based Community Detection with Autoencoder.

Xia Geng, Hu Lu, Jun Sun

Symmetry, 2020

Multiple-kernel combination fuzzy clustering for community detection.

Hu Lu, Yuqing Song, Hui Wei

Soft Comput., 2020

Multi-kernel fuzzy clustering based on auto-encoder for fMRI functional network.

Hu Lu, Saixiong Liu, Hui Wei, Juanjuan Tu

Expert Syst. Appl., 2020

2019

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

Qing-Hua Ling, Yuqing Song, Fei Han, Conghua Zhou, Hu Lu

Cogn. Syst. Res., 2019

Brain Functional Connectivity Augmentation Method for Mental Disease Classification with Generative Adversarial Network.

Qi Yao, Hu Lu

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.

Thomas Martial Epalle, Yuqing Song, Hu Lu, Zhe Liu

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Image Segmentation Based on Deep Learning Features.

Ding An Liao, Hu Lu, Xingpei Xu, Quansheng Gao

Proceedings of the Eleventh International Conference on Advanced Computational Intelligence, 2019

2018

Saliency Detection Based on Deep Learning and Graph Cut.

Hu Lu, Yuqing Song, Jun Sun, Xingpei Xu

Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Planar Object Tracking in the Wild: A Benchmark.

Pengpeng Liang, Yifan Wu, Hu Lu, Liming Wang, Chunyuan Liao, Haibin Ling

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.

Zhe Liu, Yuqing Song, Charlie Maere, Qingfeng Liu, Yan Zhu, Hu Lu, Deqi Yuan

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Modularity Maximization for Community Detection Using Genetic Algorithm.

Hu Lu, Qi Yao

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Automatic Identification of Network Communities by Novel Method of Measure.

Ding An Liao, Hai Hui Xiao, Hu Lu

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.

Ding An Liao, Hu Lu

Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

Failure Discrimination Mechanism Joint Blocking Training for Target Tracking.

Xun Chen, Siwei Xia, Hu Lu

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.

Xing Hao Huang, Yuqing Song, Ding An Liao, Hu Lu

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

Evolutionary Modularity Optimization Clustering of Neuronal Spike Trains.

Chaojie Yu, Yuquan Zhu, Yuqing Song, Hu Lu

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.

Qing-Hua Ling, Yuqing Song, Fei Han, Hu Lu

Proceedings of the Intelligent Computing Theories and Application, 2017

2015

Partitioning the Firing Patterns of Spike Trains by Community Modularity.

Hu Lu, Xing Hao Huang, Yuqing Song, Hui Wei

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014

Evolutionary Clustering Detection of Similarity in Neuronal Spike Patterns.

Hu Lu, Zhe Liu, Yuqing Song

Proceedings of the Advances in Neural Networks - ISNN 2014, 2014

Hierarchical organization in neuronal functional networks during working memory tasks.

Hu Lu, Hui Wei, Zhe Liu, Yuqing Song

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.

Hu Lu, Hui Wei

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.

Hu Lu, Bao-Ming Li, Hui Wei

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2001

Optimal Trading Mechanisms with Ex Ante Unidentified Traders.

Hu Lu, Jacques Robert

J. Econ. Theory, 2001