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CASIA OpenIR

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Exploring Schizophrenia Classification Through Multimodal MRI and Deep Graph Neural Networks: Unveiling Brain Region-Specific Weight Discrepancies and Their Association With Cell-Type Specific Transcriptomic Features 期刊论文
SCHIZOPHRENIA BULLETIN, 2024, 页码: 19
作者:  Gao, Jingjing;  Qian, Maomin;  Wang, Zhengning;  Li, Yanling;  Luo, Na;  Xie, Sangma;  Shi, Weiyang;  Li, Peng;  Chen, Jun;  Chen, Yunchun;  Wang, Huaning;  Liu, Wenming;  Li, Zhigang;  Yang, Yongfeng;  Guo, Hua;  Wan, Ping;  Lv, Luxian;  Lu, Lin;  Yan, Jun;  Song, Yuqing;  Wang, Huiling;  Zhang, Hongxing;  Wu, Huawang;  Ning, Yuping;  Du, Yuhui;  Cheng, Yuqi;  Xu, Jian;  Xu, Xiufeng;  Zhang, Dai;  Jiang, Tianzai
收藏  |  浏览/下载：21/0  |  提交时间：2024/07/03
schizophrenia identification  multimodal MRI  deep graph neural networks  image marker  gene analysis  
DRL-Based Adaptive Sharding for Blockchain-Based Federated Learning 期刊论文
IEEE TRANSACTIONS ON COMMUNICATIONS, 2023, 卷号: 71, 期号: 10, 页码: 5992-6004
作者:  Lin, Yijing;  Gao, Zhipeng;  Du, Hongyang;  Kang, Jiawen;  Niyato, Dusit;  Wang, Qian;  Ruan, Jingqing;  Wan, Shaohua
收藏  |  浏览/下载：7/0  |  提交时间：2024/07/03
Blockchain sharding  federated learning  reputation  deep reinforcement learning  
Unified Entropy Optimization for Open-Set Test-Time Adaptation 会议论文
, Seattle WA, USA, June 17-21, 2024
作者:  Zhengqing Gao;  Xu-Yao Zhang;  Cheng-Lin Liu
Adobe PDF(6643Kb)  |  收藏  |  浏览/下载：68/26  |  提交时间：2024/06/13
Spiking Neural Network for Ultralow-Latency and High-Accurate Object Detection 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2024, 页码: 10.1109/TNNLS.2024.3372613
作者:  Jinye Qu;  Zeyu Gao;  Tielin Zhang;  Yanfeng Lu;  Huajin Tang;  Hong Qiao
Adobe PDF(2939Kb)  |  收藏  |  浏览/下载：60/22  |  提交时间：2024/06/06
Low latency  object detection  spiking neural network (SNN)  timesteps compression  
基于慢特征分析的分布式动态工业过程运行状态评价 期刊论文
自动化学报, 2024, 卷号: 50, 期号: 4, 页码: 745-757
作者:  钟林生;  常玉清;  王福利;  高世红
Adobe PDF(2625Kb)  |  收藏  |  浏览/下载：79/24  |  提交时间：2024/04/28
分布式模型  运行状态评价  慢特征分析  动态时间规整  K-medoids聚类  
Federated Learning on Multimodal Data: A Comprehensive Survey 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 539-553
作者:  Yi-Ming Lin;   Yuan Gao;  Mao-Guo Gong;  Si-Jia Zhang;  Yuan-Qiao Zhang;  Zhi-Yuan Li
Adobe PDF(1253Kb)  |  收藏  |  浏览/下载：38/16  |  提交时间：2024/04/23
Federated learning, multimodal learning, heterogeneous data, edge computing, collaborative learning  
Deep Deformation Detail Synthesis for Thin Shell Models 期刊论文
COMPUTER GRAPHICS FORUM, 2023, 页码: 13
作者:  Chen, Lan;  Gao, Lin;  Yang, Jie;  Xu, Shibiao;  Ye, Juntao;  Zhang, Xiaopeng;  Lai, Yu-Kun
收藏  |  浏览/下载：145/0  |  提交时间：2023/11/17
Computing methodologies  Physical simulation  Artificial intelligence  
Efficacy of Near-Infrared Fluorescence Video-Assisted Thoracoscopic Surgery for Small Pulmonary Nodule Resection with Indocyanine Green Inhalation: A Randomized Clinical Trial 期刊论文
ANNALS OF SURGICAL ONCOLOGY, 2023, 页码: 11
作者:  Wang, Kun;  Huang, Weiyuan;  Chen, Xianshan;  Li, Gao;  Li, Na;  Huang, Xiuming;  Liao, Xuqiang;  Song, Jiali;  Yang, Qianyu;  He, Kunshan;  An, Yu;  Feng, Xin;  Zhang, Zeyu;  Chi, Chongwei;  Tian, Jie;  Chen, Fengxia;  Chen, Feng
收藏  |  浏览/下载：132/0  |  提交时间：2023/11/17
Neural inertial navigation system on pedestrian 期刊论文
MEASUREMENT SCIENCE AND TECHNOLOGY, 2023, 卷号: 34, 期号: 10, 页码: 14
作者:  Huang, Fengrong;  Gao, Min;  Liu, Qinglin;  Tang, Fulin;  Wu, Yihong
收藏  |  浏览/下载：125/0  |  提交时间：2023/11/17
localization  deep learning  pedestrian indoor navigation  IEKF  inertial navigation  
Density-Aware Haze Image Synthesis by Self-Supervised Content-Style Disentanglement 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 卷号: 32, 期号: 7, 页码: 4552-4572
作者:  Zhang, Chi;  Lin, Zihang;  Xu, Liheng;  Li, Zongliang;  Tang, Wei;  Liu, Yuehu;  Meng, Gaofeng;  Wang, Le;  Li, Li
收藏  |  浏览/下载：265/0  |  提交时间：2022/07/25
Feature extraction  Image synthesis  Scattering  Generative adversarial networks  Atmospheric modeling  Training  Testing  Haze synthesis  unsupervised image-to-image translation  self-supervised disentanglement