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ORCIDZhangyu Wang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j14]Zhangyu Wang
, Zhihao Liao, Bin Zhou, Guizhen Yu, Wenwen Luo:
SwinURNet: Hybrid Transformer-CNN Architecture for Real-Time Unstructured Road Segmentation. IEEE Trans. Instrum. Meas. 73: 1-16 (2024)- [j13]Songyue Yang, Zhangyu Wang, Guizhen Yu, Wentao Liu:
Key Point Estimate Network for Rail-Track Detection. IEEE Trans. Intell. Transp. Syst. 25(5): 4077-4088 (2024) - [j12]Pengfei Liu, Zhangyu Wang, Guizhen Yu, Bin Zhou, Peng Chen:
Region-Based Hybrid Collaborative Perception for Connected Autonomous Vehicles. IEEE Trans. Veh. Technol. 73(3): 3119-3128 (2024) - [c9]Zhangyu Wang, Krzysztof Janowicz, Gengchen Mai, Ivan Majic:
Probing the Information Theoretical Roots of Spatial Dependence Measures. COSIT 2024: 9:1-9:18 - [c8]Zhangyu Wang, Xingyi Du, Hao Li, Martin Werner:
Random Affine Transformation Feature Representation Learning for Fast Polygon Retrieval. GeoSearch@SIGSPATIAL 2024: 22-28 - [c7]Zhangyu Wang, Gengchen Mai, Krzysztof Janowicz, Ni Lao:
MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations. ICML 2024 - [i6]Zhangyu Wang, Gengchen Mai, Krzysztof Janowicz, Ni Lao:
MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations. CoRR abs/2405.18395 (2024) - [i5]Zhangyu Wang, Krzysztof Janowicz, Gengchen Mai, Ivan Majic:
Probing the Information Theoretical Roots of Spatial Dependence Measures. CoRR abs/2405.18459 (2024) - [i4]Nemin Wu, Qian Cao, Zhangyu Wang, Zeping Liu, Yanlin Qi, Jielu Zhang, Joshua Ni, Xiaobai Yao, Hongxu Ma, Lan Mu, Stefano Ermon, Tanuja Ganu, Akshay Nambi, Ni Lao, Gengchen Mai:
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning. CoRR abs/2406.15658 (2024) - [i3]Zhangyu Wang, Lantian Xu, Zhifeng Kong, Weilong Wang, Xuyu Peng, Enyang Zheng:
A Geometry-Aware Algorithm to Learn Hierarchical Embeddings in Hyperbolic Space. CoRR abs/2407.16641 (2024) - 2023
- [j11]Zhangyu Wang, Ningyuan Sun:
Offset-Guided Attention Network for Room-Level Aware Floor Plan Segmentation. IEEE Access 11: 63667-63677 (2023) - [j10]Ling Cai, Krzysztof Janowicz, Rui Zhu, Gengchen Mai, Bo Yan, Zhangyu Wang:
HyperQuaternionE: A hyperbolic embedding model for qualitative spatial and temporal reasoning. GeoInformatica 27(2): 159-197 (2023) - [j9]Songyue Yang, Zhangyu Wang, Guizhen Yu, Bin Zhou, Peng Chen, Sifen Wang, Qiang Zhang:
RailDepth: A Self-Supervised Network for Railway Depth Completion Based on a Pooling-Guidance Mechanism. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [c6]Zhangyu Wang, Jie Zhang:
Generate earthquake catalog using the VAE method. CACML 2023: 283-286 - [c5]Zhangyu Wang, Serkan Isci, Yaron Kanza, Velin Kounev, Yusef Shaqalle:
Cellular Network Optimization by Deep Reinforcement Learning and AI-Enhanced Ray Tracing. GeoIndstry@SIGSPATIAL 2023: 41-50 - [c4]Cogan Shimizu, Shirly Stephen, Rui Zhu, Kitty Currier, Mark Schildhauer, Dean Rehberger, Pascal Hitzler, Krzysztof Janowicz, Colby K. Fisher, Mohammad Saeid Mahdavinejad, Antrea Christou, Adrita Barua, Abhilekha Dalal, Sanaz Saki Norouzi, Zilong Liu, Meilin Shi, Ling Cai, Gengchen Mai, Zhangyu Wang, Yuanyuan Tian:
The KnowWhereGraph Ontology: A Showcase. JOWO 2023 - [i2]Zixuan Li, Haiying Lin, Zhangyu Wang, Huazhi Li, Miao Yu, Jie Wang:
A Ground Segmentation Method Based on Point Cloud Map for Unstructured Roads. CoRR abs/2309.08164 (2023) - 2022
- [j8]Songyue Yang, Guizhen Yu, Zhijun Meng, Zhangyu Wang, Han Li:
Autonomous obstacle avoidance of UAV based on deep reinforcement learning. J. Intell. Fuzzy Syst. 42(4): 3323-3335 (2022) - [j7]Krzysztof Janowicz, Cogan Shimizu, Pascal Hitzler, Gengchen Mai, Shirly Stephen, Rui Zhu, Ling Cai, Lu Zhou, Mark Schildhauer, Zilong Liu, Zhangyu Wang, Meilin Shi:
Diverse data! Diverse schemata? Semantic Web 13(1): 1-3 (2022) - [j6]Pengfei Liu, Guizhen Yu, Zhangyu Wang, Bin Zhou, Peng Chen:
Object Classification Based on Enhanced Evidence Theory: Radar-Vision Fusion Approach for Roadside Application. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - [j5]Zhangyu Wang, Guizhen Yu, Bin Zhou, Pengcheng Wang, Xinkai Wu:
A Train Positioning Method Based-On Vision and Millimeter-Wave Radar Data Fusion. IEEE Trans. Intell. Transp. Syst. 23(5): 4603-4613 (2022) - [j4]Zhangyu Wang, Guizhen Yu, Peng Chen, Bin Zhou, Songyue Yang:
FarNet: An Attention-Aggregation Network for Long-Range Rail Track Point Cloud Segmentation. IEEE Trans. Intell. Transp. Syst. 23(8): 13118-13126 (2022) - [j3]Songyue Yang, Guizhen Yu, Zhangyu Wang, Bin Zhou, Peng Chen, Qiang Zhang:
A Topology Guided Method for Rail-Track Detection. IEEE Trans. Veh. Technol. 71(2): 1426-1438 (2022) - [i1]Zhangyu Wang, Ningyuan Sun:
Offset-Guided Attention Network for Room-Level Aware Floor Plan Segmentation. CoRR abs/2210.17411 (2022) - 2021
- [j2]Da Li, Bin Zhou, Zhangyu Wang, Songyue Yang, Pengfei Liu:
The Identification and Compensation of Static Drift Induced by External Disturbances for LiDAR SLAM. IEEE Access 9: 58102-58115 (2021) - 2020
- [c3]Zhangyu Wang, Vahid Moosavi:
From PIace2Vec to Multi-Scale Built-Environment Representation: A General-Purpose Distributional Embedding for Urban Data Analysis. LocalRec@SIGSPATIAL 2020: 1:1-1:12 - [c2]Zhangyu Wang, Tony Lee, Michael Leung, Simon Tang, Qiang Zhang, Zining Yang, Virginia Cheung:
A Forward Train Detection Method Based on Convolutional Neural Network. IHSI 2020: 129-135
2010 – 2019
- 2019
- [c1]Li Zhang, Guizhen Yu, Bin Zhou, Zhangyu Wang, Guoyan Xu:
Detection Algorithm of Takeover Behavior of Automatic Vehicles' Drivers Based on Deep Learning. ICITE 2019: 126-130 - 2018
- [j1]Zhangyu Wang, Xinkai Wu, Guizhen Yu, Mingxing Li:
Efficient Rail Area Detection Using Convolutional Neural Network. IEEE Access 6: 77656-77664 (2018)
Coauthor Index
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last updated on 2024-11-07 20:29 CET by the dblp team
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