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检索条件"机构=Intelligent Information Processing Lab. Department of Computer Science and Technology"
1916 条 记 录,以下是1-10 订阅
Exploring the Feasibility and Challenges of Treating Follow-up Patients via a Mobile Platform in China
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Proceedings of the ACM on Human-computer Interaction 2025年 第2期9卷 1-31页
作者: Fu, Jiaojiao Zhou, Yangfan Wang, Xin Guo, Yi School of Information Science and Engineering East China University of Science and Technology School of Computer Science Fudan University China School of Computer Science Fudan University China Shanghai Key Lab. of Intelligent Information Processing China
Mobile technology is being increasingly adopted in teleconsultation for its convenience and mobility. Although widely accepted by physicians for informal online consultations, the effectiveness of mobile platforms in ... 详细信息
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Toward an accurate mobility trajectory recovery using contrastive learning
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Frontiers of information technology & Electronic Engineering 2024年 第11期25卷 1479-1496页
作者: Yushan LIU Yang CHEN Jiayun ZHANG Yu XIAO Xin WANG Shanghai Key Lab of Intelligent Information Processing School of Computer ScienceFudan UniversityShanghai 200433China Department of Information and Communications Engineering Aalto UniversityEspoo FI-02150Finland
Human mobility trajectories are fundamental resources for analyzing mobile behaviors in urban computing ***,these trajectories,typically collected from location-based services,often suffer from sparsity and irregulari... 详细信息
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Supervised Relation Extraction Based on lab.ls Contrastive Learning  16
Supervised Relation Extraction Based on Labels Contrastive L...
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16th International Congress on Image and Signal processing, BioMedical Engineering and Informatics, CISP-BMEI 2023
作者: Wang, Yuanru Zhao, Yanhui Cui, Rong-Yi Jin, Guo-Zhe Yanbian University Intelligent Information Processing Lab. Department of Computer Science & Technology Yanji China
Relation extraction is an important task in natural language processing. Existing relation extraction tasks usually use data augmentation to construct positive and negative samples for contrastive learning training. A... 详细信息
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DMFVAE:miRNA-disease associations prediction based on deep matrix factorization method with variational autoencoder
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Frontiers of computer science 2024年 第6期18卷 259-270页
作者: Pijing WEI Qianqian WANG Zhen GAO Ruifen CAO Chunhou ZHENG Information Materials and Intelligent Sensing Laboratory of Anhui Province Institutes of Physical Science and Information TechnologyAnhui UniversityHefei 230601China Key Lab of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and TechnologyAnhui UniversityHefei 230601China Key Lab of Intelligent Computing and Signal Processing of Ministry of Education School of Artificial IntelligenceAnhui UniversityHefei 230601China
MicroRNAs(miRNAs)are closely related to numerous complex human diseases,therefore,exploring miRNA-disease associations(MDAs)can help people gain a better understanding of complex disease *** increasing number of compu... 详细信息
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Weakly-Supervised Graph Classification with Even a Single Key Subgraph Per Class  24
Weakly-Supervised Graph Classification with Even a Single Ke...
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24th IEEE International Conference on Data Mining, ICDM 2024
作者: Zhang, Lu Zhang, Chenbo Guan, Jihong Zhou, Shuigeng School of Computer Science Fudan University Shanghai Key Lab of Intelligent Information Processing China Tongji University Department of Computer Science & Technology China
Traditional graph classification requires large amounts of lab.led data, which is expensive and time-consuming to acquire, especially in some special scenarios that domain knowledge is indispensable for lab.ling graph... 详细信息
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Hi-NeRF: Hybridizing 2D Inpainting with Neural Radiance Fields for 3D Scene Inpainting  17th
Hi-NeRF: Hybridizing 2D Inpainting with Neural Radiance Fie...
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17th Asian Conference on computer Vision, ACCV 2024
作者: Huang, Xianliang Chen, Shuhang Zhong, Zhizhou Gou, Jiajie Guan, Jihong Zhou, Shuigeng Shanghai Key Lab of Intelligent Information Processing and School of Computer Science Fudan University Shanghai China School of Computer Science and Technology Tongji University Shanghai China
Recent developments in Neural Radiance Fields (NeRF) have showcased notable progress in the synthesis of novel views. Nevertheless, there is limited research on inpainting 3D scenes using implicit representations. Tra... 详细信息
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Impact of COVID-19 on Residential and Non-residential Power Consumption: A Data-Driven Study  8
Impact of COVID-19 on Residential and Non-residential Power ...
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8th Asia Conference on Power and Electrical Engineering, ACPEE 2023
作者: Zhang, Qifan Cao, Xiu Chen, Yang Cao, Yixin Gao, Min Fudan University Shanghai Key Lab of Intelligent Information Processing Department of Computer Science Shanghai China
In the past few years, the COVID-19 pandemic has affected all aspects of people's daily life. In particular, people in large cities have also been greatly affected. How to accurately and timely evaluate and analyz... 详细信息
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scGAT: A Cell-Type Annotation Framework for Single-Cell Transcriptomics Using Graph Attention Network and Meta Learning  1
scGAT: A Cell-Type Annotation Framework for Single-Cell Tran...
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1st IEEE International Conference on Medical Artificial Intelligence, MedAI 2023
作者: Dong, Jiayi Li, Ming Wang, Fei School of Computer Science and Technology Fudan University Shanghai Key Lab of Intelligent Information Processing Shanghai China
Single-cell RNA sequencing (scRNA-seq) technology has emerged as a valuable tool for classifying cell types across various species, tissues, and environmental conditions, thereby advancing the field of life sciences. ... 详细信息
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GROD: Joint Inference of Gene Regulatory Networks and Data Imputation in Single-Cell RNA Sequencing with Temporal Consideration
GROD: Joint Inference of Gene Regulatory Networks and Data I...
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2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023
作者: Dong, Jiayi Wang, Fei Fudan University Shanghai Key Lab of Intelligent Information Processing School of Computer Science and Technology Shanghai China
Since single-cell RNA sequencing (scRNA-seq) has revolutionized the study of cellular dynamics, the construction of gene relationships based on dynamic information has attracted much attention. However, the sparsity a... 详细信息
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DCSN: A Flexible and Efficient Lightweight Network for Dense Cell Segmentation  1
DCSN: A Flexible and Efficient Lightweight Network for Dense...
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1st IEEE International Conference on Medical Artificial Intelligence, MedAI 2023
作者: Pan, Futai Wang, Fei School of Computer Science and Technology Fudan University Shanghai Key Lab of Intelligent Information Processing Shanghai China
Cells serve as the fundamental building blocks of living organisms and necessitate the utilization of diverse microscopic imaging techniques for observation. Nevertheless, there exist numerous limitations within phase... 详细信息
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