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Planning-Inspired Hierarchical Trajectory Prediction via Lateral-Longitudinal Decomposition for Autonomous Driving 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 卷号: 9, 期号: 1, 页码: 692-703
作者:  Li, Ding;  Zhang, Qichao;  Xia, Zhongpu;  Zheng, Yupeng;  Zhang, Kuan;  Yi, Menglong;  Jin, Wenda;  Zhao, Dongbin
收藏  |  浏览/下载：8/0  |  提交时间：2024/07/22
Trajectory  Roads  Predictive models  Planning  Task analysis  Behavioral sciences  Vehicle dynamics  Autonomous driving  trajectory prediction  anchor-based prediction  
On the Equivalence of Linear Discriminant Analysis and Least Squares Regression 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 卷号: 35, 期号: 4, 页码: 5710-5720
作者:  Nie, Feiping;  Chen, Hong;  Xiang, Shiming;  Zhang, Changshui;  Yan, Shuicheng;  Li, Xuelong
收藏  |  浏览/下载：12/0  |  提交时间：2024/07/04
Eigenvalues and eigenfunctions  Principal component analysis  Null space  Training data  Symmetric matrices  Sun  Optimization  Least squares regression (LSR)  linear discriminant analysis (LDA)  linear regression  minimum distance classifier (MDC)  null space LDA  
Port-Hamiltonian modeling and jumping trajectory tracking control for a bio-inspired quadruped robot 期刊论文
NONLINEAR ANALYSIS-HYBRID SYSTEMS, 2024, 卷号: 53, 页码: 18
作者:  Zhang, Chi;  Zou, Wei;  Ma, Liping;  Cheng, Ningbo
收藏  |  浏览/下载：14/0  |  提交时间：2024/07/04
Port-Hamiltonian with dissipation(pHd)  Bio-inspired jumping robot  Dynamic modeling  Interconnection and damping assignment  passivity-based control(IDA-PBC)  
Deep Survival Analysis With Latent Clustering and Contrastive Learning 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2024, 卷号: 28, 期号: 5, 页码: 3090-3101
作者:  Cui, Chang;  Tang, Yongqiang;  Zhang, Wensheng
收藏  |  浏览/下载：11/0  |  提交时间：2024/07/04
Analytical models  Task analysis  Self-supervised learning  Predictive models  Hazards  Data models  Correlation  Survival analysis  deep learning  clustering  contrastive learning  survival prediction  
Text2Reaction : Enabling Reactive Task Planning Using Large Language Models 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2024, 卷号: 9, 期号: 5, 页码: 4003-4010
作者:  Yang, Zejun;  Ning, Li;  Wang, Haitao;  Jiang, Tianyu;  Zhang, Shaolin;  Cui, Shaowei;  Jiang, Hao;  Li, Chunpeng;  Wang, Shuo;  Wang, Zhaoqi
收藏  |  浏览/下载：15/0  |  提交时间：2024/07/03
Planning under uncertainty  AI-based methods  learning from demonstration  
Pavement Defect Detection with Deep Learning: A Comprehensive Survey 期刊论文
IEEE Transactions on Intelligent Vehicles, 2023, 卷号: 9, 期号: 3, 页码: 4292 - 4311
作者:  Lili Fan;  Dandan Wang;  Junhao Wang;  Yunjie Li;  Yifeng Cao;  Yi Liu;  Xiaoming Chen;  Yutong Wang
Adobe PDF(6287Kb)  |  收藏  |  浏览/下载：55/14  |  提交时间：2024/06/06
Deep learning  pavement defect detection  computer vision  image processing  3D image  
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：42/18  |  提交时间：2024/06/04
debris flow  GPU acceleration  natural disaster simulation  SPH  
Toward a Fast and Robust MI-BCI: Online Adaptation of Stimulus Paradigm and Classification Model 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 卷号: 73, 页码: 12
作者:  Wang, Jiaxing;  Wang, Weiqun;  Su, Jianqiang;  Wang, Yihan;  Hou, Zeng-Guang
Adobe PDF(1810Kb)  |  收藏  |  浏览/下载：82/12  |  提交时间：2024/05/30
Brain-computer interface (BCI)  classification model adaption  information transfer rate (ITR)  motor imagery (MI) duration  stimulus paradigm adjustment  
A Multi-Modal Classification Method for Early Diagnosis of Mild Cognitive Impairment and Alzheimer's Disease Using Three Paradigms With Various Task Difficulties 期刊论文
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2024, 卷号: 32, 页码: 1456-1465
作者:  Chen Sheng;  Zhang Chutian;  Yang Hongjun;  Peng Liang;  Xie Haiqun;  Lv Zeping;  Hou Zeng-Guang
Adobe PDF(10190Kb)  |  收藏  |  浏览/下载：57/16  |  提交时间：2024/05/29
Dementia  multi-modal  machine learning  domain-adversarial neural network  
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：46/13  |  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