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ORCIDRan Lu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j14]Ran Lu
:
A simple method to construct multivariate dual framelets with high-order vanishing moments. Int. J. Wavelets Multiresolution Inf. Process. 22(4): 2450005:1-2450005:38 (2024)- [j13]Xue Wang, Zhuoqi Chen, Zhizhuo Xu, Ruirui Wang, Ran Lu, Yan Fang, Fengming Hui, Xiao Cheng:
A Framework for Fine-Resolution and Spatially Continuous Arctic Sea Ice Drift Retrieval Using Multisensor Data. IEEE Trans. Geosci. Remote. Sens. 62: 1-18 (2024) - [j12]Wenya Wu, Guangjin Wang, Xiufang Liang, Yingzheng Zhu, Huajuan Duan, Peiyu Liu, Ran Lu:
A sequence recommendation method based on external reinforcement and position separation. J. Supercomput. 80(14): 20378-20399 (2024) - [c12]Ran Lu, Emmanuel Manalo:
Chinese Children' Drawing in Science Class. Diagrams 2024: 366-374 - 2023
- [j11]Yingzheng Zhu, Xiufang Liang, Huajuan Duan, Fuyong Xu, Yuanying Wang, Peiyu Liu, Ran Lu:
Node representation learning with graph augmentation for sequential recommendation. Inf. Sci. 646: 119405 (2023) - [j10]Xiufang Liang, Yingzheng Zhu, Huajuan Duan, Fuyong Xu, Peiyu Liu, Ran Lu:
MISR: a multiple behavior interactive enhanced learning model for social-aware recommendation. J. Supercomput. 79(13): 14221-14244 (2023) - [j9]Xiufang Liang, Yingzheng Zhu, Huajuan Duan, Fuyong Xu, Peiyu Liu, Ran Lu:
Publisher Correction to: MISR: a multiple behavior interactive enhanced learning model for social-aware recommendation. J. Supercomput. 79(15): 17758 (2023) - [c11]Xiufang Liang, Yingzheng Zhu, Huajuan Duan, Fuyong Xu, Peiyu Liu, Ran Lu:
Exploiting User Preference in GNN-based Social Recommendation with Contrastive Learning. IJCNN 2023: 1-8 - [i11]Ran Lu:
A structural characterization of Compactly Supported OEP-based balanced dual multiframelets. CoRR abs/2305.01641 (2023) - 2022
- [j8]Xiaoman Lu, Ran Lu, Wenhao Zhao, Erbin Ma:
Facial image inpainting for big data using an effective attention mechanism and a convolutional neural network. Frontiers Neurorobotics 16 (2022) - [j7]Hongfei Guo, Xiaomei Yu, Xinhua Wang, Lei Guo, Liancheng Xu, Ran Lu:
Discovering Knowledge-Point Importance From the Learning-Evaluation Data. Int. J. Distance Educ. Technol. 20(1): 1-20 (2022) - [j6]Xiaowen Li, Ran Lu, Peiyu Liu, Zhenfang Zhu:
Graph convolutional networks with hierarchical multi-head attention for aspect-level sentiment classification. J. Supercomput. 78(13): 14846-14865 (2022) - [c10]Yuanying Wang, Fuyong Xu, Ru Wang, Zhenfang Zhu, Peiyu Liu, Ran Lu:
Improving Persona Understanding for Persona-based Dialogue Generation with Diverse Knowledge Selection. ICPR 2022: 1915-1921 - [c9]Xue Wang, Peiyu Liu, Zhenfang Zhu, Ran Lu:
Aspect-based Sentiment Analysis with Graph Convolutional Networks over Dependency Awareness. ICPR 2022: 2238-2245 - [c8]Xue Wang, Peiyu Liu, Zhenfang Zhu, Ran Lu:
Interactive Double Graph Convolutional Networks for Aspect-based Sentiment Analysis. IJCNN 2022: 1-7 - [c7]Yingzheng Zhu, Xiufang Liang, Huajuan Duan, Fuyong Xu, Peiyu Liu, Ran Lu:
MGSF: Towards Multi-Graphs Semantic Fusion for Multi-behavior Recommendation. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 969-976 - 2021
- [j5]Santiago Estrada, Ran Lu, Kersten Diers, Weiyi Zeng, Philipp Ehses, Tony Stöcker, Monique M. B. Breteler, Martin Reuter:
Automated olfactory bulb segmentation on high resolutional T2-weighted MRI. NeuroImage 242: 118464 (2021) - [j4]Kisuk Lee, Ran Lu, Kyle Luther, H. Sebastian Seung:
Learning and Segmenting Dense Voxel Embeddings for 3D Neuron Reconstruction. IEEE Trans. Medical Imaging 40(12): 3801-3811 (2021) - [c6]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:
AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions. MICCAI (1) 2021: 175-185 - [i10]Ran Lu, Aleksandar Zlateski, H. Sebastian Seung:
Large-scale image segmentation based on distributed clustering algorithms. CoRR abs/2106.10795 (2021) - [i9]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:
AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions. CoRR abs/2107.05451 (2021) - [i8]Santiago Estrada, Ran Lu, Kersten Diers, Weiyi Zeng, Philipp Ehses, Tony Stöcker, Monique M. B. Breteler, Martin Reuter:
Automated Olfactory Bulb Segmentation on High Resolutional T2-Weighted MRI. CoRR abs/2108.04267 (2021) - 2020
- [c5]Santiago Estrada, Ran Lu, Sailesh Conjeti, Ximena Orozco, Joana Panos, Monique M. B. Breteler, Martin Reuter:
Abstract: Fully Automated Deep Learning Pipeline for Adipose Tissue Segmentation on Abdominal Dixon MRI. Bildverarbeitung für die Medizin 2020: 74 - [c4]Nicholas L. Turner, Kisuk Lee, Ran Lu, Jingpeng Wu, Dodam Ih, H. Sebastian Seung:
Synaptic Partner Assignment Using Attentional Voxel Association Networks. ISBI 2020: 1-5 - [i7]Bin Han, Ran Lu:
Compactly Supported Quasi-tight Multiframelets with High Balancing Orders and Compact Framelet Transforms. CoRR abs/2001.06032 (2020) - [i6]Bin Han, Ran Lu:
Multivariate Quasi-tight Framelets with High Balancing Orders Derived from Any Refinable Vector Functions. CoRR abs/2005.12451 (2020) - [i5]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:
Automated Neuron Shape Analysis from Electron Microscopy. CoRR abs/2006.00100 (2020)
2010 – 2019
- 2019
- [j3]Qiuyue Zhang, Ran Lu, Qicai Wang, Zhenfang Zhu, Peiyu Liu:
Interactive Multi-Head Attention Networks for Aspect-Level Sentiment Classification. IEEE Access 7: 160017-160028 (2019) - [j2]Qiuyue Zhang, Ran Lu:
A Multi-Attention Network for Aspect-Level Sentiment Analysis. Future Internet 11(7): 157 (2019) - [j1]Ran Lu:
On the strong restricted isometry property of Bernoulli random matrices. J. Approx. Theory 245: 1-22 (2019) - [i4]Santiago Estrada, Ran Lu, Sailesh Conjeti, Ximena Orozco-Ruiz, Joana Panos-Willuhn, Monique M. B. Breteler, Martin Reuter:
FatSegNet : A Fully Automated Deep Learning Pipeline for Adipose Tissue Segmentation on Abdominal Dixon MRI. CoRR abs/1904.02082 (2019) - [i3]Nicholas L. Turner, Kisuk Lee, Ran Lu, Jingpeng Wu, Dodam Ih, H. Sebastian Seung:
Synaptic Partner Assignment Using Attentional Voxel Association Networks. CoRR abs/1904.09947 (2019) - [i2]Kisuk Lee, Nicholas L. Turner, Thomas Macrina, Jingpeng Wu, Ran Lu, H. Sebastian Seung:
Convolutional nets for reconstructing neural circuits from brain images acquired by serial section electron microscopy. CoRR abs/1904.12966 (2019) - [i1]Kisuk Lee, Ran Lu, Kyle Luther, H. Sebastian Seung:
Learning Dense Voxel Embeddings for 3D Neuron Reconstruction. CoRR abs/1909.09872 (2019) - 2018
- [c3]Ran Huang, Ran Lu:
Research on Content-based MOOC Recommender Model. ICSAI 2018: 676-681 - 2017
- [c2]Xian-ying Huang, Ran Lu, Zhi-hao Wang, Zhen-fang Zhu:
Personal micro-blog recommendation based on user characteristics and user preference. ICNC-FSKD 2017: 591-596
2000 – 2009
- 2008
- [c1]Fu Xie, Fengming Liu, Rongrong Yang, Ran Lu:
Game-Based Incentive Mechanisms for Cooperation in P2P Networks. ICNC (6) 2008: 498-501
Coauthor Index
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