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2020 – today
- 2024
[j20]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: 122898 (2024)- [j19]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: 123393 (2024) - [j18]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): 94 (2024) - [j17]Hu Lu, Haotian Hong, Xia Geng:
Deep Self-Supervised Attributed Graph Clustering for Social Network Analysis. Neural Process. Lett. 56(2): 130 (2024) - [j16]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): 868-881 (2024) - [c25]Yuhao Wang, Xuehu Liu, Pingping Zhang, Hu Lu, Zhengzheng Tu, Huchuan Lu:
TOP-ReID: Multi-Spectral Object Re-identification with Token Permutation. AAAI 2024: 5758-5766 - [c24]Jiwei Shen, Hu Lu, Hao Zhang, Shujing Lyu, Yue Lu:
Enhanced Deep Reinforcement Learning for Parcel Singulation in Non-Stationary Environments. ICASSP 2024: 1-5 - [c23]Jiwei Shen, Hu Lu, Hao Zhang, Shujing Lyu, Yue Lu:
Enhancing Reinforcement Learning via Causally Correct Input Identification and Targeted Intervention. ICASSP 2024: 8095-8099 - 2023
- [j15]Chao Chen, Hu Lu, Hui Wei, Xia Geng:
Deep subspace image clustering network with self-expression and self-supervision. Appl. Intell. 53(4): 4859-4873 (2023) - [j14]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): 974-983 (2023) - [j13]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): 57:1-57:17 (2023) - [j12]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): 1701-1708 (2023) - [c22]Hu Lu, Xuezhang Zou, Pingping Zhang:
Learning Progressive Modality-Shared Transformers for Effective Visible-Infrared Person Re-identification. AAAI 2023: 1835-1843 - [c21]Baixue Huang, Hu Lu:
Data Fusion-based graph representation learning for brain disease recognition. ICBASE 2023: 1-5 - [i3]Ke Cheng, Xuecheng Hua, Hu Lu, Juanjuan Tu, Yuanquan Wang, Shitong Wang:
Multi-scale Semantic Correlation Mining for Visible-Infrared Person Re-Identification. CoRR abs/2311.14395 (2023) - [i2]Yuhao Wang, Xuehu Liu, Pingping Zhang, Hu Lu, Zhengzheng Tu, Huchuan Lu:
TOP-ReID: Multi-spectral Object Re-Identification with Token Permutation. CoRR abs/2312.09612 (2023) - 2022
- [j11]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): 10373-10390 (2022) - [j10]Hu Lu, Tingting Jin:
Dual-stream encoder neural networks with spectral constraint for clustering functional brain connectivity data. Neural Comput. Appl. 34(15): 12737-12747 (2022) - [j9]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: 108611 (2022) - [c20]Hao Li, Yirui Wu, Hexuan Hu, Hu Lu, Yong Lai, Shaohua Wan:
Learning Group-Disentangled Representation for Interpretable Thoracic Pathologic Prediction. BIBM 2022: 1626-1629 - [i1]Hu Lu, Xuezhang Zou, Pingping Zhang:
Learning Progressive Modality-shared Transformers for Effective Visible-Infrared Person Re-identification. CoRR abs/2212.00226 (2022) - 2021
- [j8]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: 107375 (2021) - [j7]Hu Lu:
Click-cut: a framework for interactive object selection. Multim. Tools Appl. 80(16): 24759-24776 (2021) - [j6]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: 148-157 (2021) - [c19]Yingquan Wang, Pingping Zhang, Shang Gao, Xia Geng, Hu Lu, Dong Wang:
Pyramid Spatial-Temporal Aggregation for Video-based Person Re-Identification. ICCV 2021: 12006-12015 - 2020
- [j5]Hu Lu, Saixiong Liu, Hui Wei, Juanjuan Tu:
Multi-kernel fuzzy clustering based on auto-encoder for fMRI functional network. Expert Syst. Appl. 159: 113513 (2020) - [j4]Hu Lu, Yuqing Song, Hui Wei:
Multiple-kernel combination fuzzy clustering for community detection. Soft Comput. 24(18): 14157-14165 (2020) - [j3]Xia Geng, Hu Lu, Jun Sun:
Network Structural Transformation-Based Community Detection with Autoencoder. Symmetry 12(6): 944 (2020)
2010 – 2019
- 2019
- [j2]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: 51-60 (2019) - [c18]Ding An Liao, Hu Lu, Xingpei Xu, Quansheng Gao:
Image Segmentation Based on Deep Learning Features. ICACI 2019: 296-301 - [c17]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: 570-579 - [c16]Qi Yao, Hu Lu:
Brain Functional Connectivity Augmentation Method for Mental Disease Classification with Generative Adversarial Network. PRCV (1) 2019: 444-455 - 2018
- [c15]Xun Chen, Siwei Xia, Hu Lu:
Failure Discrimination Mechanism Joint Blocking Training for Target Tracking. CSAI/ICIMT 2018: 300-304 - [c14]Ding An Liao, Hu Lu:
Classify autism and control based on deep learning and community structure on resting-state fMRI. ICACI 2018: 289-294 - [c13]Ding An Liao, Hai Hui Xiao, Hu Lu:
Automatic Identification of Network Communities by Novel Method of Measure. ICNC-FSKD 2018: 1138-1143 - [c12]Hu Lu, Qi Yao:
Modularity Maximization for Community Detection Using Genetic Algorithm. ICONIP (2) 2018: 463-472 - [c11]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: 1187-1192 - [c10]Pengpeng Liang, Yifan Wu, Hu Lu, Liming Wang, Chunyuan Liao, Haibin Ling:
Planar Object Tracking in the Wild: A Benchmark. ICRA 2018: 651-658 - [c9]Hu Lu, Yuqing Song, Jun Sun, Xingpei Xu:
Saliency Detection Based on Deep Learning and Graph Cut. PCM (3) 2018: 166-177 - 2017
- [c8]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: 121-127 - [c7]Chaojie Yu, Yuquan Zhu, Yuqing Song, Hu Lu:
Evolutionary Modularity Optimization Clustering of Neuronal Spike Trains. ICONIP (4) 2017: 525-532 - [c6]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: 457-464 - 2015
- [c5]Hu Lu, Xing Hao Huang, Yuqing Song, Hui Wei:
Partitioning the Firing Patterns of Spike Trains by Community Modularity. CogSci 2015 - 2014
- [c4]Hu Lu, Hui Wei, Zhe Liu, Yuqing Song:
Hierarchical organization in neuronal functional networks during working memory tasks. IJCNN 2014: 446-451 - [c3]Hu Lu, Zhe Liu, Yuqing Song:
Evolutionary Clustering Detection of Similarity in Neuronal Spike Patterns. ISNN 2014: 558-567 - 2013
- [c2]Hu Lu, Hui Wei:
Discovering the Multi-neuronal Firing Patterns Based on a New Binless Spike Trains Measure. ISNN (1) 2013: 67-73 - 2012
- [c1]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: 1-6
2000 – 2009
- 2001
- [j1]Hu Lu, Jacques Robert:
Optimal Trading Mechanisms with Ex Ante Unidentified Traders. J. Econ. Theory 97(1): 50-80 (2001)
Coauthor Index
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