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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：3/0  |  提交时间：2024/07/03
schizophrenia identification  multimodal MRI  deep graph neural networks  image marker  gene analysis  
Explanation Guided Knowledge Distillation for Pre-trained Language Model Compression 期刊论文
ACM Transactions on Asian and Low-Resource Language Information Processing, 2024, 卷号: 23, 期号: 2, 页码: 1-19
作者:  Zhao Yang;  Yuanzhe Zhang;  Dianbo Sui;  Yiming Ju;  Jun Zhao;  Kang Liu
Adobe PDF(1250Kb)  |  收藏  |  浏览/下载：40/15  |  提交时间：2024/05/30
Explanation  knowledge distillation  model compression  
Information bottleneck based knowledge selection for commonsense reasoning 期刊论文
Information Sciences, 2024, 卷号: 660, 页码: 120134
作者:  Zhao Yang;  Yuanzhe Zhang;  Pengfei Cao;  Cao Liu;  Jiansong Chen;  Jun Zhao;  Kang Liu
Adobe PDF(1069Kb)  |  收藏  |  浏览/下载：39/13  |  提交时间：2024/05/30
Commonsense reasoning  Knowledge selection  Information bottleneck  KG-augmented model  
Graph-guided deep hashing networks for similar patient retrieval 期刊论文
Computers in Biology and Medicine, 2024, 卷号: 169, 页码: 107865
作者:  Gu, Yifan;  Yang, Xuebing;  Sun, Mengxuan;  Wang, Chutong;  Yang, Hongyu;  Yang, Chao;  Wang, Jinwei;  Kong, Guilan;  Lv, Jicheng;  Zhang, Wensheng
Adobe PDF(1325Kb)  |  收藏  |  浏览/下载：33/11  |  提交时间：2024/05/28
Similar patient retrieval  Deep hashing  Graph neural networks  Patient representation learning  Electronic health records  
Deep convolutional neural network based on self-distillation for tool wear recognition 期刊论文
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2024, 卷号: 132, 页码: 12
作者:  Pan, Yi;  Hao, Ling;  He, Jianliang;  Ding, Kun;  Yu, Qiang;  Wang, Yulin
收藏  |  浏览/下载：67/0  |  提交时间：2024/03/27
Tool fault diagnosis  Mobile inspection robots  Self-distillation  Industry 4.0  Deep learning  
Topographic representation of visually evoked emotional experiences in the human cerebral cortex 期刊论文
iScience, 2023, 卷号: 26, 期号: 9, 页码: 1-18
作者:  Du, Changde;  Fu, Kaicheng;  Wen, Bincheng;  He, Huiguang
Adobe PDF(7257Kb)  |  收藏  |  浏览/下载：76/13  |  提交时间：2024/03/26
GRAMO: geometric resampling augmentation for monocular 3D object detection 期刊论文
FRONTIERS OF COMPUTER SCIENCE, 2024, 卷号: 18, 期号: 5, 页码: 9
作者:  Guan, He;  Song, Chunfeng;  Zhang, Zhaoxiang
Adobe PDF(2242Kb)  |  收藏  |  浏览/下载：94/2  |  提交时间：2024/02/21
3D detection  monocular  augmentation  geometry  
Towards Unified Multi-Domain Machine Translation With Mixture of Domain Experts 期刊论文
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2023, 卷号: 31, 页码: 3488-3498
作者:  Lu, Jinliang;  Zhang, Jiajun
Adobe PDF(2882Kb)  |  收藏  |  浏览/下载：150/9  |  提交时间：2023/12/21
Machine Translation  Multi-domain  Mixture-of-expert  
A Unified Arbitrary Style Transfer Framework via Adaptive Contrastive Learning 期刊论文
ACM TRANSACTIONS ON GRAPHICS, 2023, 卷号: 42, 期号: 5, 页码: 16
作者:  Zhang, Yuxin;  Tang, Fan;  Dong, Weiming;  Huang, Haibin;  Ma, Chongyang;  Lee, Tong-Yee;  Xu, Changsheng
收藏  |  浏览/下载：139/0  |  提交时间：2023/12/21
Arbitrary style transfer  contrastive learning  style encoding  
A multi-view co-training network for semi-supervised medical image-based prognostic prediction 期刊论文
NEURAL NETWORKS, 2023, 卷号: 164, 页码: 455-463
作者:  Li, Hailin;  Wang, Siwen;  Liu, Bo;  Fang, Mengjie;  Cao, Runnan;  He, Bingxi;  Liu, Shengyuan;  Hu, Chaoen;  Dong, Di;  Wang, Ximing;  Wang, Hexiang;  Tian, Jie
收藏  |  浏览/下载：169/0  |  提交时间：2023/11/17
Deep neural network  Medical image analysis  Prognostic prediction  Semi-supervised learning