Hu Lu

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 41

Top Topics

Image Segmentation

Functional Connectivity

Community Detection

Particle Swarm Optimization

Top Venues

Expert Syst. Appl.

Publications

Hu Lu, Tingting Jin, Hui Wei, Michele Nappi, Hu Li, Shaohua Wan
Soft-orthogonal constrained dual-stream encoder with self-supervised clustering network for brain functional connectivity data. Expert Syst. Appl. 244 (2024)
Hu Lu, Haotian Hong, Xia Geng
Deep Self-Supervised Attributed Graph Clustering for Social Network Analysis. Neural Process. Lett. 56 (2) (2024)
Yuhao Wang, Xuehu Liu, Pingping Zhang, Hu Lu, Zhengzheng Tu, Huchuan Lu
TOP-ReID: Multi-Spectral Object Re-identification with Token Permutation. AAAI (2024)
Ke Cheng, Qikai Geng, Shucheng Huang, Juanjuan Tu, Hu Lu
Learning shared features from specific and ambiguous descriptions for text-based person search. Multim. Syst. 30 (2) (2024)
Jiwei Shen, Hu Lu, Shujing Lyu, Yue Lu
Enhancing parcel singulation efficiency through transformer-based position attention and state space augmentation. Expert Syst. Appl. 248 (2024)
Jiwei Shen, Hu Lu, Hao Zhang, Shujing Lyu, Yue Lu
Enhancing Reinforcement Learning via Causally Correct Input Identification and Targeted Intervention. ICASSP (2024)
Jiwei Shen, Hu Lu, Hao Zhang, Shujing Lyu, Yue Lu
Enhanced Deep Reinforcement Learning for Parcel Singulation in Non-Stationary Environments. ICASSP (2024)
Ziqiang He, Shaohua Wan, Marco Zappatore, Hu Lu
A Similarity Matrix Low-Rank Approximation and Inconsistency Separation Fusion Approach for Multiview Clustering. IEEE Trans. Artif. Intell. 5 (2) (2024)
Ke Cheng, Xuecheng Hua, Hu Lu, Juanjuan Tu, Yuanquan Wang, Shitong Wang
Multi-scale Semantic Correlation Mining for Visible-Infrared Person Re-Identification. CoRR (2023)
Songtao Ding, Hongyu Wang, Hu Lu, Michele Nappi, Shaohua Wan
Two Path Gland Segmentation Algorithm of Colon Pathological Image Based on Local Semantic Guidance. IEEE J. Biomed. Health Informatics 27 (4) (2023)
Baixue Huang, Hu Lu
Data Fusion-based graph representation learning for brain disease recognition. ICBASE (2023)
Yuhao Wang, Xuehu Liu, Pingping Zhang, Hu Lu, Zhengzheng Tu, Huchuan Lu
TOP-ReID: Multi-spectral Object Re-Identification with Token Permutation. CoRR (2023)
Hu Lu, Xuezhang Zou, Pingping Zhang
Learning Progressive Modality-Shared Transformers for Effective Visible-Infrared Person Re-identification. AAAI (2023)
Chao Chen, Hu Lu, Haotian Hong, Hai Wang, Shaohua Wan
Deep Self-Supervised Graph Attention Convolution Autoencoder for Networks Clustering. IEEE Trans. Consumer Electron. 69 (4) (2023)
Yirui Wu, Lilai Zhang, Zonghua Gu, Hu Lu, Shaohua Wan
Edge-AI-Driven Framework with Efficient Mobile Network Design for Facial Expression Recognition. ACM Trans. Embed. Comput. Syst. 22 (3) (2023)
Chao Chen, Hu Lu, Hui Wei, Xia Geng
Deep subspace image clustering network with self-expression and self-supervision. Appl. Intell. 53 (4) (2023)
Hao Li, Yirui Wu, Hexuan Hu, Hu Lu, Yong Lai, Shaohua Wan
Learning Group-Disentangled Representation for Interpretable Thoracic Pathologic Prediction. BIBM (2022)
Hu Lu, Xuezhang Zou, Pingping Zhang
Learning Progressive Modality-shared Transformers for Effective Visible-Infrared Person Re-identification. CoRR (2022)
Hu Lu, Chao Chen, Hui Wei, Zhongchen Ma, Ke Jiang, Yingquan Wang
Improved deep convolutional embedded clustering with re-selectable sample training. Pattern Recognit. 127 (2022)
Hu Lu, Tingting Jin
Dual-stream encoder neural networks with spectral constraint for clustering functional brain connectivity data. Neural Comput. Appl. 34 (15) (2022)
Yingquan Wang, Ke Jiang, Hu Lu, Ziheng Xu, Gaojian Li, Chao Chen, Xia Geng
Encoder-decoder assisted image generation for person re-identification. Multim. Tools Appl. 81 (7) (2022)
Hu Lu, Saixiong Liu, Hui Wei, Chao Chen, Xia Geng
Deep multi-kernel auto-encoder network for clustering brain functional connectivity data. Neural Networks 135 (2021)
Thomas Martial Epalle, Yuqing Song, Zhe Liu, Hu Lu
Multi-atlas classification of autism spectrum disorder with hinge loss trained deep architectures: ABIDE I results. Appl. Soft Comput. 107 (2021)
Hu Lu
Click-cut: a framework for interactive object selection. Multim. Tools Appl. 80 (16) (2021)
Hu Lu, Yuqing Song, Hui Wei
Multiple-kernel combination fuzzy clustering for community detection. Soft Comput. 24 (18) (2020)
Hu Lu, Saixiong Liu, Hui Wei, Juanjuan Tu
Multi-kernel fuzzy clustering based on auto-encoder for fMRI functional network. Expert Syst. Appl. 159 (2020)
Xia Geng, Hu Lu, Jun Sun
Network Structural Transformation-Based Community Detection with Autoencoder. Symmetry 12 (6) (2020)
Ding An Liao, Hu Lu, Xingpei Xu, Quansheng Gao
Image Segmentation Based on Deep Learning Features. ICACI (2019)
Qing-Hua Ling, Yuqing Song, Fei Han, Conghua Zhou, Hu Lu
An improved learning algorithm for random neural networks based on particle swarm optimization and input-to-output sensitivity. Cogn. Syst. Res. 53 (2019)
Qi Yao, Hu Lu
Brain Functional Connectivity Augmentation Method for Mental Disease Classification with Generative Adversarial Network. PRCV (1) (2019)
Thomas Martial Epalle, Yuqing Song, Hu Lu, Zhe Liu
Characterizing and Identifying Autism Disorder Using Regional Connectivity Patterns and Extreme Gradient Boosting Classifier. ICONIP (4) (2019)
Ding An Liao, Hu Lu
Classify autism and control based on deep learning and community structure on resting-state fMRI. ICACI (2018)
Hu Lu, Yuqing Song, Jun Sun, Xingpei Xu
Saliency Detection Based on Deep Learning and Graph Cut. PCM (3) (2018)
Pengpeng Liang, Yifan Wu, Hu Lu, Liming Wang, Chunyuan Liao, Haibin Ling
Planar Object Tracking in the Wild: A Benchmark. ICRA (2018)
Ding An Liao, Hai Hui Xiao, Hu Lu
Automatic Identification of Network Communities by Novel Method of Measure. ICNC-FSKD (2018)
Zhe Liu, Yuqing Song, Charlie Maere, Qingfeng Liu, Yan Zhu, Hu Lu, Deqi Yuan
A Method for PET-CT Lung Cancer Segmentation based on Improved Random Walk. ICPR (2018)
Hu Lu, Qi Yao
Modularity Maximization for Community Detection Using Genetic Algorithm. ICONIP (2) (2018)
Xun Chen, Siwei Xia, Hu Lu
Failure Discrimination Mechanism Joint Blocking Training for Target Tracking. CSAI/ICIMT (2018)
Qing-Hua Ling, Yuqing Song, Fei Han, Hu Lu
An Improved Evolutionary Random Neural Networks Based on Particle Swarm Optimization and Input-to-Output Sensitivity. ICIC (1) (2017)
Xing Hao Huang, Yuqing Song, Ding An Liao, Hu Lu
Detecting Community Structure Based on Optimized Modularity by Genetic Algorithm in Resting-State fMRI. ISNN (2) (2017)
Chaojie Yu, Yuquan Zhu, Yuqing Song, Hu Lu
Evolutionary Modularity Optimization Clustering of Neuronal Spike Trains. ICONIP (4) (2017)
Hu Lu, Xing Hao Huang, Yuqing Song, Hui Wei
Partitioning the Firing Patterns of Spike Trains by Community Modularity. CogSci (2015)
Hu Lu, Hui Wei, Zhe Liu, Yuqing Song
Hierarchical organization in neuronal functional networks during working memory tasks. IJCNN (2014)
Hu Lu, Zhe Liu, Yuqing Song
Evolutionary Clustering Detection of Similarity in Neuronal Spike Patterns. ISNN (2014)
Hu Lu, Hui Wei
Discovering the Multi-neuronal Firing Patterns Based on a New Binless Spike Trains Measure. ISNN (1) (2013)
Hu Lu, Bao-Ming Li, Hui Wei
A small-world of neuronal functional network from multi-electrode recordings during a working memory task. IJCNN (2012)
Hu Lu, Jacques Robert
Optimal Trading Mechanisms with Ex Ante Unidentified Traders. J. Econ. Theory 97 (1) (2001)