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Graph Structure Aware Contrastive Multi-View Clustering 期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2024, 卷号: 10, 期号: 3, 页码: 260-274
作者:  Chen, Rui;  Tang, Yongqiang;  Cai, Xiangrui;  Yuan, Xiaojie;  Feng, Wenlong;  Zhang, Wensheng
收藏  |  浏览/下载：1/0  |  提交时间：2024/07/04
Correlation  Semantics  Big Data  Representation learning  Data models  Data mining  Analytical models  Contrastive learning  deep representation  graph embedding  multi-view clustering  
Two-particle Debris Flow Simulation Based on SPH 期刊论文
Computer Animation and Virtual Worlds, 2024, 卷号: 35, 期号: 3, 页码: 1-17
作者:  Zhang JX(张佳岫);  Yang M(杨猛);  Xiaomin Li;  Qunou Jiang;  Heng Zhang;  Meng WL(孟维亮)
Adobe PDF(4962Kb)  |  收藏  |  浏览/下载：22/10  |  提交时间：2024/06/04
debris flow  GPU acceleration  natural disaster simulation  SPH  
Research on the Exposure Risk Analysis of Wildfires with a Spatiotemporal Knowledge Graph 期刊论文
FIRE-SWITZERLAND, 2024, 卷号: 7, 期号: 4, 页码: 22
作者:  Ge, Xingtong;  Peng, Ling;  Yang, Yi;  Wang, Yinda;  Chen, Deyue;  Yang, Lina;  Li, Weichao;  Chen, Jiahui
收藏  |  浏览/下载：7/0  |  提交时间：2024/05/30
exposure risk analysis knowledge graph  multi-source data fusion  exposure risk analysis  spatiotemporal data  
Enhancing ENSO predictions with self-attention ConvLSTM and temporal embeddings 期刊论文
Frontiers in Marine Science, 2024, 卷号: 11, 页码: 1334210
作者:  Rui, Chuang;  Sun, Zhengya;  Zhang, Wensheng;  Liu, Anan;  Wei, Zhiqiang
Adobe PDF(14474Kb)  |  收藏  |  浏览/下载：27/8  |  提交时间：2024/05/28
El Niño-Southern Oscillation (ENSO)  deep learning for ENSO prediction  self-attention ConvLSTM  temporal embeddings  spring prediction barrier  
Learning and Controlling Multiscale Dynamics in Spiking Neural Networks Using Recursive Least Square Modifications 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2024, 页码: 14
作者:  Wei, Qinglai;  Han, Liyuan;  Zhang, Tielin
Adobe PDF(8060Kb)  |  收藏  |  浏览/下载：71/13  |  提交时间：2024/03/27
Direct dynamic programming (DDP)  Lorenz system  multiscale dynamics  point-to-point control  recursive least square (RLS)  spiking neural network (SNN)  
GAN-Based Facial Attribute Manipulation 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 14590-14610
作者:  Liu, Yunfan;  Li, Qi;  Deng, Qiyao;  Sun, Zhenan;  Yang, Ming-Hsuan
Adobe PDF(15297Kb)  |  收藏  |  浏览/下载：88/23  |  提交时间：2024/02/22
Generative adversarial networks  image translation  facial attribute manipulation  
Data-Driven Optimal Output Cluster Synchronization Control of Heterogeneous Multi-Agent Systems 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 页码: 11
作者:  Li, Hongyang;  Wei, Qinglai
收藏  |  浏览/下载：79/0  |  提交时间：2023/11/17
Index Terms- Output cluster synchronization control  data-driven control  adaptive dynamic programming  policy iteration  heterogeneous multi-agent systems  optimal control  
Semisupervised Progressive Representation Learning for Deep Multiview Clustering 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:  Chen, Rui;  Tang, Yongqiang;  Xie, Yuan;  Feng, Wenlong;  Zhang, Wensheng
收藏  |  浏览/下载：130/0  |  提交时间：2023/11/17
Representation learning  Training  Data models  Task analysis  Complexity theory  Semisupervised learning  Optimization  Deep clustering  multiview clustering  progressive sample learning  semisupervised learning  
NVIF: Neighboring Variational Information Flow for Cooperative Large-Scale Multiagent Reinforcement Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 13
作者:  Chai, Jiajun;  Zhu, Yuanheng;  Zhao, Dongbin
Adobe PDF(2469Kb)  |  收藏  |  浏览/下载：60/2  |  提交时间：2023/11/16
Large-scale multiagent  neighboring communication  reinforcement learning (RL)  variational information flow  
AutoMSNet: Multi-Source Spatio-Temporal Network via Automatic Neural Architecture Search for Traffic Flow Prediction 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 15
作者:  Fang, Shen;  Zhang, Chunxia;  Xiang, Shiming;  Pan, Chunhong
收藏  |  浏览/下载：164/0  |  提交时间：2023/02/22
Deep learning  neural architecture search  graph convolution  meta-learning  traffic flow prediction