Ran Lu

According to our database, Ran Lu authored at least 35 papers between 2008 and 2024.

Collaborative distances:

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

2024

A sequence recommendation method based on external reinforcement and position separation.

Wenya Wu, Guangjin Wang, Xiufang Liang, Yingzheng Zhu, Huajuan Duan, Peiyu Liu, Ran Lu

J. Supercomput., September, 2024

A simple method to construct multivariate dual framelets with high-order vanishing moments.

Ran Lu

Int. J. Wavelets Multiresolution Inf. Process., July, 2024

A Framework for Fine-Resolution and Spatially Continuous Arctic Sea Ice Drift Retrieval Using Multisensor Data.

Xue Wang, Zhuoqi Chen, Zhizhuo Xu, Ruirui Wang, Ran Lu, Yan Fang, Fengming Hui, Xiao Cheng

IEEE Trans. Geosci. Remote. Sens., 2024

Quasi-stationary Subdivision Schemes in Arbitrary Dimensions.

Ran Lu, Bin Han

CoRR, 2024

Chinese Children' Drawing in Science Class.

Ran Lu, Emmanuel Manalo

Proceedings of the Diagrammatic Representation and Inference, 2024

2023

Publisher Correction to: MISR: a multiple behavior interactive enhanced learning model for social-aware recommendation.

Xiufang Liang, Yingzheng Zhu, Huajuan Duan, Fuyong Xu, Peiyu Liu, Ran Lu

J. Supercomput., October, 2023

Node representation learning with graph augmentation for sequential recommendation.

Yingzheng Zhu, Xiufang Liang, Huajuan Duan, Fuyong Xu, Yuanying Wang, Peiyu Liu, Ran Lu

Inf. Sci., October, 2023

MISR: a multiple behavior interactive enhanced learning model for social-aware recommendation.

Xiufang Liang, Yingzheng Zhu, Huajuan Duan, Fuyong Xu, Peiyu Liu, Ran Lu

J. Supercomput., September, 2023

A structural characterization of Compactly Supported OEP-based balanced dual multiframelets.

Ran Lu

CoRR, 2023

Exploiting User Preference in GNN-based Social Recommendation with Contrastive Learning.

Xiufang Liang, Yingzheng Zhu, Huajuan Duan, Fuyong Xu, Peiyu Liu, Ran Lu

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Facial image inpainting for big data using an effective attention mechanism and a convolutional neural network.

Xiaoman Lu, Ran Lu, Wenhao Zhao, Erbin Ma

Frontiers Neurorobotics, September, 2022

Graph convolutional networks with hierarchical multi-head attention for aspect-level sentiment classification.

Xiaowen Li, Ran Lu, Peiyu Liu, Zhenfang Zhu

J. Supercomput., 2022

Discovering Knowledge-Point Importance From the Learning-Evaluation Data.

Hongfei Guo, Xiaomei Yu, Xinhua Wang, Lei Guo, Liancheng Xu, Ran Lu

Int. J. Distance Educ. Technol., 2022

MGSF: Towards Multi-Graphs Semantic Fusion for Multi-behavior Recommendation.

Yingzheng Zhu, Xiufang Liang, Huajuan Duan, Fuyong Xu, Peiyu Liu, Ran Lu

Proceedings of the IEEE Smartworld, 2022

Interactive Double Graph Convolutional Networks for Aspect-based Sentiment Analysis.

Xue Wang, Peiyu Liu, Zhenfang Zhu, Ran Lu

Proceedings of the International Joint Conference on Neural Networks, 2022

Improving Persona Understanding for Persona-based Dialogue Generation with Diverse Knowledge Selection.

Yuanying Wang, Fuyong Xu, Ru Wang, Zhenfang Zhu, Peiyu Liu, Ran Lu

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Aspect-based Sentiment Analysis with Graph Convolutional Networks over Dependency Awareness.

Xue Wang, Peiyu Liu, Zhenfang Zhu, Ran Lu

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

Learning and Segmenting Dense Voxel Embeddings for 3D Neuron Reconstruction.

Kisuk Lee, Ran Lu, Kyle Luther, H. Sebastian Seung

IEEE Trans. Medical Imaging, 2021

Automated olfactory bulb segmentation on high resolutional T2-weighted MRI.

Santiago Estrada, Ran Lu, Kersten Diers, Weiyi Zeng, Philipp Ehses, Tony Stöcker, Monique M. B. Breteler, Martin Reuter

NeuroImage, 2021

Large-scale image segmentation based on distributed clustering algorithms.

Ran Lu, Aleksandar Zlateski, H. Sebastian Seung

CoRR, 2021

AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions.

Donglai Wei, Kisuk Lee, Hanyu Li, Ran Lu, J. Alexander Bae, Zequan Liu, Lifu Zhang, Márcia dos Santos, Zudi Lin, Thomas D. Uram, Xueying Wang, Ignacio Arganda-Carreras, Brian Matejek, Narayanan Kasthuri, Jeff Lichtman, Hanspeter Pfister

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Automated Neuron Shape Analysis from Electron Microscopy.

Sharmishtaa Seshamani, Leila Elabbady, Casey Schneider-Mizell, Gayathri Mahalingam, Sven Dorkenwald, Agnes Bodor, Thomas Macrina, Daniel Bumbarger, JoAnn Buchanan, Marc Takeno, Wenjing Yin, Derrick Brittain, Russel Torres, Daniel Kapner, Kisuk Lee, Ran Lu, Jingpeng Wu, Nuno daCosta, R. Clay Reid, Forrest Collman

CoRR, 2020

Multivariate Quasi-tight Framelets with High Balancing Orders Derived from Any Refinable Vector Functions.

Bin Han, Ran Lu

CoRR, 2020

Compactly Supported Quasi-tight Multiframelets with High Balancing Orders and Compact Framelet Transforms.

Bin Han, Ran Lu

CoRR, 2020

Synaptic Partner Assignment Using Attentional Voxel Association Networks.

Nicholas L. Turner, Kisuk Lee, Ran Lu, Jingpeng Wu, Dodam Ih, H. Sebastian Seung

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Abstract: Fully Automated Deep Learning Pipeline for Adipose Tissue Segmentation on Abdominal Dixon MRI.

Santiago Estrada, Ran Lu, Sailesh Conjeti, Ximena Orozco, Joana Panos, Monique M. B. Breteler, Martin Reuter

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

2019

On the strong restricted isometry property of Bernoulli random matrices.

Ran Lu

J. Approx. Theory, 2019

A Multi-Attention Network for Aspect-Level Sentiment Analysis.

Qiuyue Zhang, Ran Lu

Future Internet, 2019

Learning Dense Voxel Embeddings for 3D Neuron Reconstruction.

Kisuk Lee, Ran Lu, Kyle Luther, H. Sebastian Seung

CoRR, 2019

Convolutional nets for reconstructing neural circuits from brain images acquired by serial section electron microscopy.

Kisuk Lee, Nicholas L. Turner, Thomas Macrina, Jingpeng Wu, Ran Lu, H. Sebastian Seung

CoRR, 2019

FatSegNet : A Fully Automated Deep Learning Pipeline for Adipose Tissue Segmentation on Abdominal Dixon MRI.

Santiago Estrada, Ran Lu, Sailesh Conjeti, Ximena Orozco-Ruiz, Joana Panos-Willuhn, Monique M. B. Breteler, Martin Reuter

CoRR, 2019

Interactive Multi-Head Attention Networks for Aspect-Level Sentiment Classification.

Qiuyue Zhang, Ran Lu, Qicai Wang, Zhenfang Zhu, Peiyu Liu

IEEE Access, 2019

2018

Research on Content-based MOOC Recommender Model.

Ran Huang, Ran Lu

Proceedings of the 5th International Conference on Systems and Informatics, 2018

2017

Personal micro-blog recommendation based on user characteristics and user preference.

Xian-ying Huang, Ran Lu, Zhi-hao Wang, Zhen-fang Zhu

Proceedings of the 13th International Conference on Natural Computation, 2017

2008

Game-Based Incentive Mechanisms for Cooperation in P2P Networks.

Fu Xie, Fengming Liu, Rongrong Yang, Ran Lu

Proceedings of the Fourth International Conference on Natural Computation, 2008