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检索条件"机构=Jiangsu Key Laboratory of Computer Information Process Technology"
1067 条 记 录,以下是151-160 订阅
排序:
Leveraging Tumor Heterogeneity: Heterogeneous Graph Representation Learning for Cancer Survival Prediction in Whole Slide Images  38
Leveraging Tumor Heterogeneity: Heterogeneous Graph Represen...
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38th Conference on Neural information processing Systems, NeurIPS 2024
作者: Wu, Junxian Ke, Xinyi Jiang, Xiaoming Wu, Huanwen Kong, Youyong Shao, Lizhi School of Internet Anhui University China Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing School of Computer Science and Engineering Southeast University China Department of Pathology State Key Laboratory of Complex Severe and Rare Disease Molecular Pathology Research Center Peking Union Medical College Hospital Chinese Academy of Medical Sciences Peking Union Medical College Beijing China School of Bioinformatics Chongqing University of Post and Telecommunications China Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications Southeast University Ministry of Education China
Survival prediction is a significant challenge in cancer management. Tumor microenvironment is a highly sophisticated ecosystem consisting of cancer cells, immune cells, endothelial cells, fibroblasts, nerves and extr...
来源: 评论
FaceGCN: Structured Priors Inspired Graph Convolutional Networks for Blind Face Restoration
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IEEE Transactions on Circuits and Systems for Video technology 2025年
作者: Yan, Weidan Shao, Wenze Zhang, Dengyin Xiao, Liang Nanjing University of Posts and Telecommunications School of Internet of Things Nanjing210003 China Nanjing University of Posts and Telecommunications Jiangsu Key Laboratory of Intelligent Information Processing and Communication Technology Nanjing210003 China Nanjing University of Science and Technology School of Computer Science and Engineering Nanjing210094 China
Facial image restoration has gained a tremendous progress since the increasing boom of the deep learning methods. Owing to its nature of strong ill-posedness, different categories of a-priori constraints have been har... 详细信息
来源: 评论
Neural Network-Based Dimensionality Reduction for Large-Scale Binary Optimization With Millions of Variables
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IEEE Transactions on Evolutionary Computation 2024年 1-1页
作者: Tian, Ye Wang, Luchen Yang, Shangshang Ding, Jinliang Jin, Yaochu Zhang, Xingyi School of Computer Science and Technology Information Materials and Intelligent Sensing Laboratory of Anhui Province Anhui University Hefei China Institutes of Physical Science and Information Technology Anhui University Hefei China School of Artificial Intelligence Anhui University Hefei China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China School of Engineering Westlake University Hangzhou China
Binary optimization assumes a pervasive significance in the context of practical applications, such as knapsack problems, maximum cut problems, and critical node detection problems. Existing techniques including mathe... 详细信息
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Prototype-based classifier learning for long-tailed visual recognition
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Science China(information Sciences) 2022年 第6期65卷 62-76页
作者: Xiu-Shen WEI Shu-Lin XU Hao CHEN Liang XIAO Yuxin PENG School of Computer Science and Engineering Nanjing University of Science and Technology State Key Laboratory of Integrated Services Networks Xidian University Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education and Jiangsu Key Lab of Image and Video Understanding for Social Security Wangxuan Institute of Computer Technology Peking University
In this paper, we tackle the long-tailed visual recognition problem from the categorical prototype perspective by proposing a prototype-based classifier learning(PCL) method. Specifically, thanks to the generalization... 详细信息
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DeepIA: An Interpretability Analysis based Test Data Generation Method for DNN
DeepIA: An Interpretability Analysis based Test Data Generat...
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IEEE International Conference on Software Quality, Reliability and Security (QRS)
作者: Qifan He Ruilin Xie Li Li Zhanqi Cui School of Computer Science Beijing Information Science and Technology University Beijing China Key Laboratory of Safety-Critical Software (Nanjing University of Aeronautics and Astronautics) Ministry of Industry and Information Nanjing Jiangsu China
Recently, deep neural networks (DNN) have been widely applied in various fields, such as image classification, even replace humans to make decisions in some specific tasks. However, like traditional software, DNNs ine...
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Multimodal Spatiotemporal Drug Assessment Platform Based on a Microelectrode Neural Network Chip in Alzheimer's Disease
SSRN
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SSRN 2024年
作者: Gao, Fan Xu, Wei Xiao, Yan Jiang, Wei Chen, Mu Liu, Zekai Zhang, Peng Yang, Tianyi Qian, Zhiyu Gao, Keqiang Department of Biomedical Engineering Key Laboratory of Multi-modal Brain-Computer Precision Drive Ministry of Industry and Information Technology Key Laboratory of Digital Medical Equipment and Technology of Jiangsu Province Nanjing University of Aeronautics and Astronautics Nanjing210016 China School of Pharmacy Nanjing Medical University Nanjing211166 China
The pathogenesis of Alzheimer's disease (AD) remains elusive. The development of new drugs is protracted, costly, and fraught with failure. There is a dearth of in vitro high-throughput assay platforms capable of ... 详细信息
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Experience report:investigating bug fixes in machine learning frameworks/libraries
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Frontiers of computer Science 2021年 第6期15卷 43-58页
作者: Xiaobing SUN Tianchi ZHOU Rongcun WANG Yucong DUAN Lili BO Jianming CHANG School of Information Engineering Yangzhou UniversityYangzhou 225100China State Key Laboratory for Novel Software Technology Nanjing UniversityNanjing 210023China Jiangsu Engineering Research Center of Knowledge Management and Intelligent Service Yangzhou University Yangzhou 225127China School of Computer Science and Technology China University of Mining and TechnologyXuzhou 221116China School of Computer Science and Cyberspace Security Hainan UniversityHaikou 570228China
Machine learning(ML)techniques and algorithms have been successfully and widely used in various areas including software engineering *** other software projects,bugs are also common in ML projects and *** order to mor... 详细信息
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Fuzzy Safety and Liveness Properties in Linear-time
Fuzzy Safety and Liveness Properties in Linear-time
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IEEE International Conference on Software Quality, Reliability and Security (QRS)
作者: Fan Shi Zhiqiu Huang Haiyu Pan Yuting Chang Heng Xu College of Computer Science and Technology/College of Software Nanjing University of Aeronautics and Astronautics Nanjing Jiangsu China Key Laboratory for Safety-critical Software Development and Verification Ministry of Industry and Information Technology Nanjing Jiangsu China School of Computer and Information Security/School of Software Guilin University of Electronic Technology Guilin Guangxi China Nokis Solutions and Networks System Technology (Beijing) Co. Ltd. Hangzhou Zhejiang China
Safety and liveness are fundamental to many system verification paradigms. In contrast to existing approaches for extending safety and liveness properties of fuzzy systems, we first utilize ultrametric to measure the ... 详细信息
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Discrete-time Formation Control With Attitude Alignment: A Geometric Approach under Ergodic Products
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IEEE Transactions on Control of Network Systems 2025年
作者: Li, Zhen Tang, Yang Zhang, Wenbing Fan, Yongqing Huang, Tingwen Xi-an University of Posts and Telecommunications School of Automation Xian710121 China East China University of Science and Technology Key Laboratory of Smart Manufacturing in Energy Chemical Process Shanghai200237 China Yangzhou University Department of Mathematics Jiangsu225002 China Shenzhen University of Advanced Technology Faculty of Computer Science and Control Engineering Shenzhen518055 China
Assuming agents possess sensing capabilities and dynamics relative to their body coordinate frames, this paper addresses a displacement-based strategy for discrete-time formation control through attitude synchronizati... 详细信息
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MDDMamba: A Model for Multi-Modal Depression Detection with a Memory-Saving Cross-Modal Attention Mechanism Based on Mamba
MDDMamba: A Model for Multi-Modal Depression Detection with ...
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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
作者: Mingzhou Liu Zheyu Wang Feng Liu School of Education Science and Technology Nanjing University of Posts and Telecommunications Nanjing China School of Computer and Artificial Intelligence Nanjing University of Science and Technology ZiJin College Nanjing China Jiangsu Key Laboratory of Intelligent Information Processing and Communication Technology Nanjing China
Depression is a severe mental health disorder that constitutes a significant global health challenge, necessitating efficient and accurate automated diagnostic tools. Traditional approaches to automated depression ass... 详细信息
来源: 评论