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Lanxue Dang
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2020 – today
- 2024
- [j16]Lanxue Dang, Chunyu Wang, Ming-Hsiang Tsou, Yan-E. Hou, Hongyu Han:
Sentiment analysis of COVID-19 related social distancing using twitter data based on deep learning. Multim. Tools Appl. 83(11): 32587-32612 (2024) - [c3]Cheng Liu, Yue Pang, Tiezhu Li, Jiawei Sun, Xianyu Zuo, Lanxue Dang, Liming Zhou, Baojun Qiao:
CPFU-Net: A Channel Position Wide Focus Mechanism based on U-Net for Building Image Segmentation Algorithm. CAIBDA 2024: 868-873 - [i1]Yang Liu, Yahui Li, Rui Li, Liming Zhou, Lanxue Dang, Huiyu Mu, Qiang Ge:
Hyperspectral Image Classification Based on Faster Residual Multi-branch Spiking Neural Network. CoRR abs/2409.11619 (2024) - 2023
- [j15]Yan-E. Hou, Wenbo Gu, Weichuan Dong, Lanxue Dang:
A Deep Reinforcement Learning Real-Time Recommendation Model Based on Long and Short-Term Preference. Int. J. Comput. Intell. Syst. 16(1): 4 (2023) - [j14]Yan-E. Hou, Kang Yang, Lanxue Dang, Yang Liu:
Contextual Spatial-Channel Attention Network for Remote Sensing Scene Classification. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j13]Liming Zhou, Zhehao Liu, Hang Zhao, Yan-E. Hou, Yang Liu, Xianyu Zuo, Lanxue Dang:
A Multi-Scale Object Detector Based on Coordinate and Global Information Aggregation for UAV Aerial Images. Remote. Sens. 15(14): 3468 (2023) - 2022
- [j12]Lanxue Dang, Chongyang Liu, Weichuan Dong, Yan-E. Hou, Qiang Ge, Yang Liu:
An effective global learning framework for hyperspectral image classification based on encoder-decoder architecture. Int. J. Digit. Earth 15(1): 1350-1376 (2022) - [c2]Lanxue Dang, Chunyu Wang, Hongyu Han, Yan-E. Hou:
A Hybrid BiLSTM-ATT Model for Improved Accuracy Sentiment Analysis. HPCC/DSS/SmartCity/DependSys 2022: 2182-2188 - 2021
- [j11]Lanxue Dang, Peidong Pang, Xianyu Zuo, Yang Liu, Jay Lee:
A Dual-Path Small Convolution Network for Hyperspectral Image Classification. Remote. Sens. 13(17): 3411 (2021) - [j10]Yang Liu, Lanxue Dang, Shenshen Li, Kun Cai, Xianyu Zuo:
Research Progress on Models, Algorithms, and Systems for Remote Sensing Spatial-Temporal Big Data Processing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 5918-5931 (2021) - 2020
- [j9]Yan-E. Hou, Lanxue Dang, Weichuan Dong, Yunfeng Kong:
A Metaheuristic Algorithm for Routing School Buses With Mixed Load. IEEE Access 8: 158293-158305 (2020) - [j8]Lanxue Dang, Peidong Pang, Jay Lee:
Depth-Wise Separable Convolution Neural Network with Residual Connection for Hyperspectral Image Classification. Remote. Sens. 12(20): 3408 (2020) - [c1]Fengbin Zheng, Li Ding, Lanxue Dang:
Location Rating Based on Graph Neural Network. CIAT 2020: 169-175
2010 – 2019
- 2019
- [j7]Lanxue Dang, Zhuo Chen, Jay Lee, Ming-Hsiang Tsou, Xinyue Ye:
Simulating the spatial diffusion of memes on social media networks. Int. J. Geogr. Inf. Sci. 33(8): 1545-1568 (2019) - 2018
- [j6]Yan-E. Hou, Yunfeng Kong, Lanxue Dang:
求解多车型校车路径问题的混合集合划分的GRASP算法 (Greedy Randomized Adaptive Search Procedure Algorithm Combining Set Partitioning for Heterogeneous School Bus Routing Problems). 计算机科学 45(4): 240-246 (2018) - 2017
- [j5]Yan-E. Hou, Yunfeng Kong, Lanxue Dang, Yujing Wang:
一种求解多校多车型校车路径问题的元启发算法 (Metaheuristic Algorithm for Solving Multi-school Heterogeneous School Bus Routing Problem). 计算机科学 44(8): 216-224 (2017) - 2016
- [j4]Yan-E. Hou, Yunfeng Kong, Lanxue Dang:
求解车辆路径问题的改进扰动机制的ILS算法 (Iterated Local Search Algorithm with Improved Perturbation Mechanism for Vehicle Routing Problem). 计算机科学 43(1): 264-269 (2016) - [j3]Yan-E. Hou, Lanxue Dang, Yunfeng Kong, Yi Xie:
求解多车型校车路径问题的带参数选择机制的GRASP算法 (GRASP Algorithm with Parameter Selection Mechanism for Heterogeneous Fleet School Bus Routing Problem). 计算机科学 43(8): 233-239 (2016) - [j2]Yan-E. Hou, Yunfeng Kong, Lanxue Dang, Yi Xie:
车辆数限制的多车型校车路径问题模型及算法研究 (Model and Algorithm for Heterogeneous Fixed Fleet School Bus Routing Problem). 计算机科学 43(12): 234-240 (2016) - 2015
- [j1]Lanxue Dang, Yan-E. Hou, Yunfeng Kong:
时空相关的混载校车路径问题邻域搜索 (Spatiotemporal Neighborhood Search for Solving Mixed-load School Bus Routing Problem). 计算机科学 42(4): 221-225 (2015)
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