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Stronger wind, smaller tree: Testing tree growth plasticity through a modeling approach 期刊论文
FRONTIERS IN PLANT SCIENCE, 2022, 卷号: 13, 页码: 17
作者:  Wang, Haoyu;  Hua, Jing;  Kang, Mengzhen;  Wang, Xiujuan;  Fan, Xing-Rong;  Fourcaud, Thierry;  de Reffye, Philippe
Adobe PDF(6783Kb)  |  收藏  |  浏览/下载：287/58  |  提交时间：2023/01/09
functional-structural plant model  mechanical model  critical wind speed  tree breakage  optimization  thigmomorphogenesis  
Long-distance pattern projection through an unfixed multimode fiber with natural evolution strategy-based wavefront shaping 期刊论文
OPTICS EXPRESS, 2022, 卷号: 30, 期号: 18, 页码: 32565-32576
作者:  Cheng, Shengfu;  Zhong, Tianting;  Woo, Chi Man;  Zhao, Qi;  Hui, Hui;  Lai, Puxiang
收藏  |  浏览/下载：129/0  |  提交时间：2022/11/14
Solving the spike feature information vanishing problem in spiking deep Q network with potential based normalization 期刊论文
FRONTIERS IN NEUROSCIENCE, 2022, 卷号: 16, 页码: 11
作者:  Sun, Yinqian;  Zeng, Yi;  Li, Yang
Adobe PDF(1561Kb)  |  收藏  |  浏览/下载：213/31  |  提交时间：2022/11/14
brain-inspired decision model  SDQN  reinforcement learning  potential normalization  spiking activity  
Towards Corruption-Agnostic Robust Domain Adaptation 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2022, 卷号: 18, 期号: 4, 页码: 16
作者:  Xu, Yifan;  Sheng, Kekai;  Dong, Weiming;  Wu, Baoyuan;  Xu, Changsheng;  Hu, Bao-Gang
Adobe PDF(2116Kb)  |  收藏  |  浏览/下载：407/87  |  提交时间：2022/06/10
Domain adaptation  corruption robustness  transfer learning  
Partial Domain Adaptation by Progressive Sample Learning of Shared Classes 期刊论文
Neural Processing Letters, 2022, 卷号: 0, 期号: 0, 页码: 0
作者:  Lei, Tian;  Yongqiang, Tang;  Wensheng, Zhang
Adobe PDF(912Kb)  |  收藏  |  浏览/下载：193/50  |  提交时间：2022/04/06
Partial domain adaptation  Domain adaptation  Transfer learning  Self-paced learning  Low-dimensional subspace learning  
Question-Guided Erasing-Based Spatiotemporal Attention Learning for Video Question Answering 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 0
作者:  Liu, Fei;  Liu, Jing;  Hong, Richang;  Lu, Hanqing
Adobe PDF(3550Kb)  |  收藏  |  浏览/下载：315/78  |  提交时间：2022/01/27
video question answering  attention mechanism  metric learning  
Trip Purposes Mining From Mobile Signaling Data 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 99, 期号: 99, 页码: 13
作者:  Li, Zhishuai;  Xiong, Gang;  Wei, Zebing;  Zhang, Yu;  Zheng, Meng;  Liu, Xiaoli;  Tarkoma, Sasu;  Huang, Min;  Lv, Yisheng;  Wu, Chuheng
Adobe PDF(3962Kb)  |  收藏  |  浏览/下载：370/71  |  提交时间：2022/01/27
Cellular networks  Trajectory  Semantics  Unsupervised learning  Supervised learning  Resource management  Public transportation  Trip purpose inference  cellular network data  latent Dirichlet allocation  travel behavior  big data  
Data Augmented Deep Behavioral Cloning for Urban Traffic Control Operations Under a Parallel Learning Framework 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 23, 期号: 6, 页码: 5128-5137
作者:  Li, Xiaoshuang;  Ye, Peijun;  Jin, Junchen;  Zhu, Fenghua;  Wang, Fei-Yue
Adobe PDF(2319Kb)  |  收藏  |  浏览/下载：294/58  |  提交时间：2022/01/27
Generative adversarial networks  Data models  Gallium nitride  Task analysis  Complex systems  Intelligent traffic signal operations  deep behavioral cloning  
Quality-Related Fault Diagnosis Based on k-Nearest Neighbor Rule for Non-Linear Industrial Processes 期刊论文
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2021, 卷号: 17, 期号: 11, 页码: 1-14
作者:  Ren, Zelin;  Tang, Yongqiang;  Zhang, Wensheng
Adobe PDF(1256Kb)  |  收藏  |  浏览/下载：309/60  |  提交时间：2021/12/28
fault detection  fault diagnosis  quality-related  non-linear industrial process  k-nearest neighbor rule  
A novel framework of collaborative early warning for COVID-19 based on blockchain and smart contracts 期刊论文
INFORMATION SCIENCES, 2021, 卷号: 570, 页码: 124-143
作者:  Ouyang, Liwei;  Yuan, Yong;  Cao, Yumeng;  Wang, Fei-Yue
Adobe PDF(1322Kb)  |  收藏  |  浏览/下载：285/60  |  提交时间：2021/08/15
Blockchain  Smart contracts  Federated learning  Learning markets  Collaborative early warning