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Liang Xin
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2020 – today
- 2024
- [j12]Yi Lin, Lin He, Daiqi Zhong, Yufei Song, Lujia Wei, Liang Xin:
A High Spatial Resolution Aerial Image Dataset and an Efficient Scene Classification Model. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - 2023
- [j11]Renjie Ji, Kun Tan, Xue Wang, Chen Pan, Liang Xin:
PASSNet: A Spatial-Spectral Feature Extraction Network With Patch Attention Module for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j10]Liang Xin, Wangle Zhang, Jianxu Wang, Sijian Wang, Jingxiong Zhang:
Integrating Multi-Point Geostatistics, Machine Learning, and Image Correlation for Characterizing Positional Errors in Remote-Sensing Images of High Spatial Resolution. Remote. Sens. 15(19): 4734 (2023) - [c8]Jizhou Liu, Jian Xu, Liang Xin, Ning Ma, Lixia Liu, Zhiyi Zhao, Xin Tian, Xiaojun Tang, Tigang Ning:
Magnetic Field Sensing System Based on 1550 nm Ring Fiber Laser. ICAIT 2023: 325-328 - 2022
- [b1]Liang Xin:
Deep learning for combinatorial optimization problems. Nanyang Technological University, Singapore, 2022 - [j9]Jingwen Li, Liang Xin, Zhiguang Cao, Andrew Lim, Wen Song, Jie Zhang:
Heterogeneous Attentions for Solving Pickup and Delivery Problem via Deep Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. 23(3): 2306-2315 (2022) - 2021
- [j8]Renjie Ji, Kun Tan, Xue Wang, Chen Pan, Liang Xin:
Spatiotemporal Monitoring of a Grassland Ecosystem and Its Net Primary Production Using Google Earth Engine: A Case Study of Inner Mongolia from 2000 to 2020. Remote. Sens. 13(21): 4480 (2021) - [j7]Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang:
Step-Wise Deep Learning Models for Solving Routing Problems. IEEE Trans. Ind. Informatics 17(7): 4861-4871 (2021) - [j6]Chao Tan, Liang Xin, Haoran Chen, Long Yang:
Nonlinear Compensation Method Based on Data for Increasing Absolute Measurement Precision of FID Signal. IEEE Trans. Instrum. Meas. 70: 1-9 (2021) - [c7]Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang:
Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems. AAAI 2021: 12042-12049 - [c6]Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang:
NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem. NeurIPS 2021: 7472-7483 - [i3]Jingwen Li, Liang Xin, Zhiguang Cao, Andrew Lim, Wen Song, Jie Zhang:
Heterogeneous Attentions for Solving Pickup and Delivery Problem via Deep Reinforcement Learning. CoRR abs/2110.02634 (2021) - [i2]Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang:
NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem. CoRR abs/2110.07983 (2021) - 2020
- [j5]Chun Liu, Doudou Zeng, Hangbin Wu, Yin Wang, Shoujun Jia, Liang Xin:
Urban Land Cover Classification of High-Resolution Aerial Imagery Using a Relation-Enhanced Multiscale Convolutional Network. Remote. Sens. 12(2): 311 (2020) - [j4]Liang Xin, Yuchao Wang, Huixuan Fu:
Omnidirectional Mobile Robot Dynamic Model Identification by NARX Neural Network and Stability Analysis Using the APLF Method. Symmetry 12(9): 1430 (2020) - [c5]Wang Heng, Liang Xin:
Innovation of Equipment Asset Management System Based on Internet of Things Technology. ICMSS 2020: 164-168 - [i1]Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang:
Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems. CoRR abs/2012.10638 (2020)
2010 – 2019
- 2018
- [j3]Minqiu Chen, Xingpeng Mao, Xiaozhuan Long, Liang Xin:
Underdetermined Direct Localization of Emitters Based on Spatio-Temporal Processing. IEEE Signal Process. Lett. 25(3): 452-456 (2018) - 2017
- [c4]Liping Huo, Xingpeng Mao, Liang Xin, Yunmei Shi, Guangyan Li:
Widely Linear Adaptive Beamforming Algorithm Based on Minimum Sensitivity and Eigenspace. CSPS 2017: 782-789 - 2016
- [j2]Zhao Jin, Chunwei Yang, Fenglei Cao, Feng Li, Zhifeng Jing, Long Chen, Zhe Shen, Liang Xin, Sijia Tong, Huai Sun:
Hierarchical atom type definitions and extensible all-atom force fields. J. Comput. Chem. 37(7): 653-664 (2016) - 2013
- [j1]Jianhua Zhang, Liang Xin, Fenghua Zhang:
Propagation characteristics and modeling in indoor multi-floor environment. Phys. Commun. 9: 246-256 (2013) - 2012
- [c3]Liang Xin, Jianhua Zhang, Xiaofan Li:
Power allocation for indoor distributed antenna system based on path loss prediction at 6 GHz. WPMC 2012: 424-428 - [c2]Liang Xin, Jianhua Zhang, Fei Xiong, Yanliang Sun, Nan Sheng:
Power coverage and multipath diversity for indoor distributed antenna system based on wideband channel measurement at 6 GHz. WPMC 2012: 429-433 - [c1]Jingjing Zhang, Zhenmin Zhao, Wei Li, Zhen Liu, Liang Xin:
Joint pricing and power control for OFDMA femtocell networks using stackelberg game. WPMC 2012: 619-622
Coauthor Index
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last updated on 2024-07-27 17:32 CEST by the dblp team
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