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State of health estimation of lithium-ion batteries based on Mixers-bidirectional temporal convolutional neural network 期刊论文
JOURNAL OF ENERGY STORAGE, 2023, 卷号: 73, 页码: 15
作者:  Gao, Jingyi;  Yang, Dongfang;  Wang, Shi;  Li, Zhaoting;  Wang, Licheng;  Wang, Kai
收藏  |  浏览/下载：3/0  |  提交时间：2024/05/20
Lithium-ion battery  State of health estimation  Bidirectional temporal convolutional neural  network  Mixers  Transfer learning  
AUC-Oriented Domain Adaptation: From Theory to Algorithm 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 14161-14174
作者:  Yang, Zhiyong;  Xu, Qianqian;  Bao, Shilong;  Wen, Peisong;  He, Yuan;  Cao, Xiaochun;  Huang, Qingming
收藏  |  浏览/下载：3/0  |  提交时间：2024/05/20
AUC-oriented Learning  domain adaptation  machine learning  
Improving metric-based few-shot learning with dynamically scaled softmax loss 期刊论文
IMAGE AND VISION COMPUTING, 2023, 卷号: 140, 页码: 15
作者:  Zhang, Yu;  Zuo, Xin;  Zheng, Xuxu;  Gao, Xiaoyong;  Wang, Bo;  Hu, Weiming
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Few-shot learning  Metric-based learning framework  Softmax loss improvement  
How to Tame Mobility in Federated Learning Over Mobile Networks? 期刊论文
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2023, 卷号: 22, 期号: 12, 页码: 9640-9657
作者:  Peng, Yan;  Tang, Xiaogang;  Zhou, Yiqing;  Hou, Yuenan;  Li, Jintao;  Qi, Yanli;  Liu, Ling;  Lin, Hai
收藏  |  浏览/下载：4/0  |  提交时间：2024/05/20
Federated learning  user mobility  resource allocation  convergence analysis  
Adaptive Memory Networks With Self-Supervised Learning for Unsupervised Anomaly Detection 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 卷号: 35, 期号: 12, 页码: 12068-12080
作者:  Zhang, Yuxin;  Wang, Jindong;  Chen, Yiqiang;  Yu, Han;  Qin, Tao
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Unsupervised anomaly detection  time series  self-supervised learning  memory network  
Improving fraud detection via imbalanced graph structure learning 期刊论文
MACHINE LEARNING, 2023, 页码: 22
作者:  Ren, Lingfei;  Hu, Ruimin;  Liu, Yang;  Li, Dengshi;  Wu, Junhang;  Zang, Yilong;  Hu, Wenyi
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Fraud detection  Graph structure learning  Homophily  Heterophily  
DyTSCL: Dynamic graph representation via tempo-structural contrastive learning 期刊论文
NEUROCOMPUTING, 2023, 卷号: 556, 页码: 8
作者:  Li, Jianian;  Bao, Peng;  Yan, Rong;  Shen, Huawei
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Graph representation learning  Contrastive learning  Dynamic graph  Tempo-structural information  
MNSIM 2.0: A Behavior-Level Modeling Tool for Processing-In-Memory Architectures 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2023, 卷号: 42, 期号: 11, 页码: 4112-4125
作者:  Zhu, Zhenhua;  Sun, Hanbo;  Xie, Tongxin;  Zhu, Yu;  Dai, Guohao;  Xia, Lixue;  Niu, Dimin;  Chen, Xiaoming;  Hu, Xiaobo Sharon;  Cao, Yu;  Xie, Yuan;  Yang, Huazhong;  Wang, Yu
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Computational modeling  Computer architecture  Integrated circuit modeling  Scheduling  Hardware  Memristors  Convolutional neural networks  Hardware modeling tool  processing-in-memory (PIM)  software-hardware co-optimization  
A Weakly Supervised Learning Method for Cell Detection and Tracking Using Incomplete Initial Annotations 期刊论文
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2023, 卷号: 24, 期号: 22, 页码: 28
作者:  Wu, Hao;  Niyogisubizo, Jovial;  Zhao, Keliang;  Meng, Jintao;  Xi, Wenhui;  Li, Hongchang;  Pan, Yi;  Wei, Yanjie
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
cell detection  cell tracking  deep learning  weakly supervised learning  iPS cell reprogramming  brightfield microscopy  
DrawingInStyles: Portrait Image Generation and Editing With Spatially Conditioned StyleGAN 期刊论文
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2023, 卷号: 29, 期号: 10, 页码: 4074-4088
作者:  Su, Wanchao;  Ye, Hui;  Chen, Shu-Yu;  Gao, Lin;  Fu, Hongbo
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Faces  Semantics  Image synthesis  Codes  Training  Transforms  Spatial resolution  Sketch-based portrait generation  suggestive interfaces  data-driven approaches  StyleGAN  conditional generation