Hu Lu

61 papers A* 4B 4C 1Misc 2Journal 34Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
DSGNet : A Lightweight Network Integrating Depthwise Separable and Ghost Convolutions for Real-Time Surface Defect Segmentation.
Expert Syst. J. Knowl. Eng.
Hu Lu, Yanyan Zhao, Guo Yang, Shengli Wu
2026 J jnl
DT-VNet: Deep Transformer-Based VNet Framework for 3D Prostate MRI Segmentation.
IEEE J. Biomed. Health Informatics
Yunyao Cai, Hu Lu, Shengli Wu, Stefano Berretti, Shaohua Wan
2026 J jnl
Deep contrastive graph clustering with information preservation.
Pattern Recognit.
Hu Lu, Haotian Hong, Fuhao Shi, Shengli Wu, Lixin Duan, Shaohua Wan
2026 J jnl
Transformer-Based Decoupled Modality Feature Learning for Visible-Infrared Person Re-Identification.
IEEE Multim.
Hu Lu, Tingting Qin, Yuxin Li, Zhansheng Liu, Yingquan Wang, Shengli Wu, Shaohua Wan
2025 J jnl
CM-DASN: visible-infrared cross-modality person re-identification via dynamic attention selection network.
Multim. Syst.
Yuxin Li, Hu Lu, Tingting Qin, Juanjuan Tu, Shengli Wu
2025 J jnl
Combating health misinformation with fusion-based credible retrieval techniques.
Health Informatics J.
Yidong Huang, Shengli Wu, Hu Lu, Xia Geng, Chris D. Nugent
2025 J jnl
Deep contrastive coordinated multi-view consistency clustering.
Mach. Learn.
Fuhao Shi, Shaohua Wan, Shengli Wu, Hui Wei, Hu Lu
2025 J jnl
Enhancing multi-view deep image clustering via contrastive learning for global and local consistency.
Pattern Anal. Appl.
Fuhao Shi, Hu Lu
2025 J jnl
Local-Aware Residual Attention Vision Transformer for Visible-Infrared Person Re-Identification.
ACM Trans. Multim. Comput. Commun. Appl.
Xuecheng Hua, Ke Cheng, Gege Zhu, Hu Lu, Yuanquan Wang, Shitong Wang
2025 J jnl
MSCMNet: Multi-scale Semantic Correlation Mining for Visible-Infrared Person Re-Identification.
Pattern Recognit.
Xuecheng Hua, Ke Cheng, Hu Lu, Juanjuan Tu, Yuanquan Wang, Shitong Wang
2025 J jnl
Online Adaptive Method for Obtaining High- Precision Spherical Joint Positions With the Lower Internal Force Assembly of Large-Scale Aircraft Components.
IEEE Trans. Ind. Informatics
Yajun Li, Wei Liu, Hu Lu, Changyong Gao, Runze Liu, Qihang Chen, Yang Zhang
2024 J jnl
A Similarity Matrix Low-Rank Approximation and Inconsistency Separation Fusion Approach for Multiview Clustering.
IEEE Trans. Artif. Intell.
Ziqiang He, Shaohua Wan, Marco Zappatore, Hu Lu
2024 J jnl
Deep Self-Supervised Attributed Graph Clustering for Social Network Analysis.
Neural Process. Lett.
Hu Lu, Haotian Hong, Xia Geng
2024 Misc conf
Enhanced Deep Reinforcement Learning for Parcel Singulation in Non-Stationary Environments.
ICASSP
Jiwei Shen, Hu Lu, Hao Zhang, Shujing Lyu, Yue Lu
2024 Misc conf
Enhancing Reinforcement Learning via Causally Correct Input Identification and Targeted Intervention.
ICASSP
Jiwei Shen, Hu Lu, Hao Zhang, Shujing Lyu, Yue Lu
2024 J jnl
Enhancing parcel singulation efficiency through transformer-based position attention and state space augmentation.
Expert Syst. Appl.
Jiwei Shen, Hu Lu, Shujing Lyu, Yue Lu
2024 J jnl
Learning shared features from specific and ambiguous descriptions for text-based person search.
Multim. Syst.
Ke Cheng, Qikai Geng, Shucheng Huang, Juanjuan Tu, Hu Lu
2024 — conf
Learning to Detect Lithography Defects in SEM Images.
ICPR (5)
Hu Lu, Botong Zhao, Jiwei Shen, Hongjian Zhan, Shujing Lyu, Yue Lu
2024 J jnl
Soft-orthogonal constrained dual-stream encoder with self-supervised clustering network for brain functional connectivity data.
Expert Syst. Appl.
Hu Lu, Tingting Jin, Hui Wei, Michele Nappi, Hu Li, Shaohua Wan
2024 A* conf
TOP-ReID: Multi-Spectral Object Re-identification with Token Permutation.
AAAI
Yuhao Wang, Xuehu Liu, Pingping Zhang, Hu Lu, Zhengzheng Tu, Huchuan Lu
2024 — conf
VRMP: towards efficient human-robot cooperative teleoperation via digital twin-powered motion hybrid mapping and prediction.
ASCC
Yubao Liu, Hu Lu, Zhipeng Wang, Xin Li, Yuqi Ji, Cheng Shi
2023 — conf
Data Fusion-based graph representation learning for brain disease recognition.
ICBASE
Baixue Huang, Hu Lu
2023 J jnl
Deep Self-Supervised Graph Attention Convolution Autoencoder for Networks Clustering.
IEEE Trans. Consumer Electron.
Chao Chen, Hu Lu, Haotian Hong, Hai Wang, Shaohua Wan
2023 J jnl
Deep subspace image clustering network with self-expression and self-supervision.
Appl. Intell.
Chao Chen, Hu Lu, Hui Wei, Xia Geng
2023 J jnl
Edge-AI-Driven Framework with Efficient Mobile Network Design for Facial Expression Recognition.
ACM Trans. Embed. Comput. Syst.
Yirui Wu, Lilai Zhang, Zonghua Gu, Hu Lu, Shaohua Wan
2023 A* conf
Learning Progressive Modality-Shared Transformers for Effective Visible-Infrared Person Re-identification.
AAAI
Hu Lu, Xuezhang Zou, Pingping Zhang
2023 J jnl
Multi-scale Semantic Correlation Mining for Visible-Infrared Person Re-Identification.
CoRR
Ke Cheng, Xuecheng Hua, Hu Lu, Juanjuan Tu, Yuanquan Wang, Shitong Wang
2023 J jnl
TOP-ReID: Multi-spectral Object Re-Identification with Token Permutation.
CoRR
Yuhao Wang, Xuehu Liu, Pingping Zhang, Hu Lu, Zhengzheng Tu, Huchuan Lu
2023 J jnl
Two Path Gland Segmentation Algorithm of Colon Pathological Image Based on Local Semantic Guidance.
IEEE J. Biomed. Health Informatics
Songtao Ding, Hongyu Wang, Hu Lu, Michele Nappi, Shaohua Wan
2022 J jnl
Dual-stream encoder neural networks with spectral constraint for clustering functional brain connectivity data.
Neural Comput. Appl.
Hu Lu, Tingting Jin
2022 J jnl
Encoder-decoder assisted image generation for person re-identification.
Multim. Tools Appl.
Yingquan Wang, Ke Jiang, Hu Lu, Ziheng Xu, Gaojian Li, Chao Chen, Xia Geng
2022 J jnl
Improved deep convolutional embedded clustering with re-selectable sample training.
Pattern Recognit.
Hu Lu, Chao Chen, Hui Wei, Zhongchen Ma, Ke Jiang, Yingquan Wang
2022 — conf
Learning Group-Disentangled Representation for Interpretable Thoracic Pathologic Prediction.
BIBM
Hao Li, Yirui Wu, Hexuan Hu, Hu Lu, Yong Lai, Shaohua Wan
2022 J jnl
Learning Progressive Modality-shared Transformers for Effective Visible-Infrared Person Re-identification.
CoRR
Hu Lu, Xuezhang Zou, Pingping Zhang
2021 J jnl
Click-cut: a framework for interactive object selection.
Multim. Tools Appl.
Hu Lu
2021 J jnl
Deep multi-kernel auto-encoder network for clustering brain functional connectivity data.
Neural Networks
Hu Lu, Saixiong Liu, Hui Wei, Chao Chen, Xia Geng
2021 J jnl
Multi-atlas classification of autism spectrum disorder with hinge loss trained deep architectures: ABIDE I results.
Appl. Soft Comput.
Thomas Martial Epalle, Yuqing Song, Zhe Liu, Hu Lu
2021 A* conf
Pyramid Spatial-Temporal Aggregation for Video-based Person Re-Identification.
ICCV
Yingquan Wang, Pingping Zhang, Shang Gao, Xia Geng, Hu Lu, Dong Wang
2020 J jnl
Multi-kernel fuzzy clustering based on auto-encoder for fMRI functional network.
Expert Syst. Appl.
Hu Lu, Saixiong Liu, Hui Wei, Juanjuan Tu
2020 J jnl
Multiple-kernel combination fuzzy clustering for community detection.
Soft Comput.
Hu Lu, Yuqing Song, Hui Wei
2020 J jnl
Network Structural Transformation-Based Community Detection with Autoencoder.
Symmetry
Xia Geng, Hu Lu, Jun Sun
2019 J jnl
An improved learning algorithm for random neural networks based on particle swarm optimization and input-to-output sensitivity.
Cogn. Syst. Res.
Qing-Hua Ling, Yuqing Song, Fei Han, Conghua Zhou, Hu Lu
2019 — conf
Brain Functional Connectivity Augmentation Method for Mental Disease Classification with Generative Adversarial Network.
PRCV (1)
Qi Yao, Hu Lu
2019 — conf
Characterizing and Identifying Autism Disorder Using Regional Connectivity Patterns and Extreme Gradient Boosting Classifier.
ICONIP (4)
Thomas Martial Epalle, Yuqing Song, Hu Lu, Zhe Liu
2019 — conf
Image Segmentation Based on Deep Learning Features.
ICACI
Ding An Liao, Hu Lu, Xingpei Xu, Quansheng Gao
2018 B conf
A Method for PET-CT Lung Cancer Segmentation based on Improved Random Walk.
ICPR
Zhe Liu, Yuqing Song, Charlie Maere, Qingfeng Liu, Yan Zhu, Hu Lu, Deqi Yuan
2018 — conf
Automatic Identification of Network Communities by Novel Method of Measure.
ICNC-FSKD
Ding An Liao, Hai Hui Xiao, Hu Lu
2018 — conf
Classify autism and control based on deep learning and community structure on resting-state fMRI.
ICACI
Ding An Liao, Hu Lu
2018 — conf
Failure Discrimination Mechanism Joint Blocking Training for Target Tracking.
CSAI/ICIMT
Xun Chen, Siwei Xia, Hu Lu
2018 — conf
Modularity Maximization for Community Detection Using Genetic Algorithm.
ICONIP (2)
Hu Lu, Qi Yao
2018 A* conf
Planar Object Tracking in the Wild: A Benchmark.
ICRA
Pengpeng Liang, Yifan Wu, Hu Lu, Liming Wang, Chunyuan Liao, Haibin Ling
2018 — conf
Saliency Detection Based on Deep Learning and Graph Cut.
PCM (3)
Hu Lu, Yuqing Song, Jun Sun, Xingpei Xu
2017 — conf
An Improved Evolutionary Random Neural Networks Based on Particle Swarm Optimization and Input-to-Output Sensitivity.
ICIC (1)
Qing-Hua Ling, Yuqing Song, Fei Han, Hu Lu
2017 — conf
Detecting Community Structure Based on Optimized Modularity by Genetic Algorithm in Resting-State fMRI.
ISNN (2)
Xing Hao Huang, Yuqing Song, Ding An Liao, Hu Lu
2017 — conf
Evolutionary Modularity Optimization Clustering of Neuronal Spike Trains.
ICONIP (4)
Chaojie Yu, Yuquan Zhu, Yuqing Song, Hu Lu
2015 B conf
Partitioning the Firing Patterns of Spike Trains by Community Modularity.
CogSci
Hu Lu, Xing Hao Huang, Yuqing Song, Hui Wei
2014 C conf
Evolutionary Clustering Detection of Similarity in Neuronal Spike Patterns.
ISNN
Hu Lu, Zhe Liu, Yuqing Song
2014 B conf
Hierarchical organization in neuronal functional networks during working memory tasks.
IJCNN
Hu Lu, Hui Wei, Zhe Liu, Yuqing Song
2013 — conf
Discovering the Multi-neuronal Firing Patterns Based on a New Binless Spike Trains Measure.
ISNN (1)
Hu Lu, Hui Wei
2012 B conf
A small-world of neuronal functional network from multi-electrode recordings during a working memory task.
IJCNN
Hu Lu, Bao-ming Li, Hui Wei
2001 J jnl
Optimal Trading Mechanisms with Ex Ante Unidentified Traders.
J. Econ. Theory
Hu Lu, Jacques Robert