Zhangyu Wang

According to our database, Zhangyu Wang authored at least 36 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

The KnowWhereGraph ontology.

Cogan Shimizu, Shirly Stephen, Adrita Barua, Ling Cai, Antrea Christou, Kitty Currier, Abhilekha Dalal, Colby K. Fisher, Pascal Hitzler, Krzysztof Janowicz, Wenwen Li, Zilong Liu, Mohammad Saeid Mahdavinejad, Gengchen Mai, Dean Rehberger, Mark Schildhauer, Meilin Shi, Sanaz Saki Norouzi, Yuanyuan Tian, Sizhe Wang, Zhangyu Wang, Joseph Zalewski, Lu Zhou, Rui Zhu

J. Web Semant., 2025

2024

Key Point Estimate Network for Rail-Track Detection.

Songyue Yang, Zhangyu Wang, Guizhen Yu, Wentao Liu

IEEE Trans. Intell. Transp. Syst., May, 2024

Region-Based Hybrid Collaborative Perception for Connected Autonomous Vehicles.

Pengfei Liu, Zhangyu Wang, Guizhen Yu, Bin Zhou, Peng Chen

IEEE Trans. Veh. Technol., March, 2024

SwinURNet: Hybrid Transformer-CNN Architecture for Real-Time Unstructured Road Segmentation.

Zhangyu Wang, Zhihao Liao, Bin Zhou, Guizhen Yu, Wenwen Luo

IEEE Trans. Instrum. Meas., 2024

The S2 Hierarchical Discrete Global Grid as a Nexus for Data Representation, Integration, and Querying Across Geospatial Knowledge Graphs.

Shirly Stephen, Mitchell Faulk, Krzysztof Janowicz, Colby K. Fisher, Thomas Thelen, Rui Zhu, Pascal Hitzler, Cogan Shimizu, Kitty Currier, Mark Schildhauer, Dean Rehberger, Zhangyu Wang, Antrea Christou

CoRR, 2024

A Geometry-Aware Algorithm to Learn Hierarchical Embeddings in Hyperbolic Space.

Zhangyu Wang, Lantian Xu, Zhifeng Kong, Weilong Wang, Xuyu Peng, Enyang Zheng

CoRR, 2024

TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning.

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

CoRR, 2024

AWNet: Negative Obstacle Semantic Segmentation Network Based on Adaptive Weight Loss.

Jiarui Zhao, Guizhen Yu, Jie Wang, Zhangyu Wang, Junjie Zhang, Yunsong Feng

Proceedings of the 22nd IEEE International Conference on Industrial Informatics, 2024

A Robust Camera-LiDAR Fusion Framework for 3D Object Detection in High-Dust Environments.

Mingyuan Wang, Wentao Liu, Bin Zhou, Zhangyu Wang, Runsen Liu, Hanyu Wang

Proceedings of the 22nd IEEE International Conference on Industrial Informatics, 2024

A Vision-Based Bird's Eye View Representation Network for 3D Objects in Open-pit Mining Area.

Mengen Tai, Wentao Liu, Zhangyu Wang, Bin Zhou, Guizhen Yu, Songyue Yang

Proceedings of the 22nd IEEE International Conference on Industrial Informatics, 2024

Real-Time 3D Object Detection Based on Dynamic Sparse Voxel Transformer in Mining Area.

Shengdi Sun, Zhangyu Wang, Runsen Liu, Songyue Yang, Liyun Wang, Wentao Liu

Proceedings of the 22nd IEEE International Conference on Industrial Informatics, 2024

A LiDAR-Camera Fusion Network for Small Object Detection in Open-Pit Mining Areas.

Muzhuo Liu, Jie Wang, Bin Zhou, Zhangyu Wang, Wentao Liu, Mingyuan Wang

Proceedings of the 22nd IEEE International Conference on Industrial Informatics, 2024

Forward Long-distance 3D Reconstruction in Rail Transit Scenarios based on Occupancy Networks.

Hongbo Li, Zhangyu Wang, Songyue Yang, Hao Wang, Wentao Liu, Guizhen Yu

Proceedings of the 22nd IEEE International Conference on Industrial Informatics, 2024

MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations.

Zhangyu Wang, Gengchen Mai, Krzysztof Janowicz, Ni Lao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Random Affine Transformation Feature Representation Learning for Fast Polygon Retrieval.

Zhangyu Wang, Xingyi Du, Hao Li, Martin Werner

Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, 2024

TorchSpatial: A Python Package for Spatial Representation Learning and Geo-Aware Model Development.

Qian Cao, Nemin Wu, 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

Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Spatial Big Data and AI for Industrial Applications, 2024

Spatial Task-Explicity Matters in Prompting Large Multimodal Models for Spatial Planning.

Ivan Majic, Zhangyu Wang, Krzysztof Janowicz, Mina Karimi

Proceedings of the 7th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2024

Probing the Information Theoretical Roots of Spatial Dependence Measures.

Zhangyu Wang, Krzysztof Janowicz, Gengchen Mai, Ivan Majic

Proceedings of the 16th International Conference on Spatial Information Theory, 2024

2023

HyperQuaternionE: A hyperbolic embedding model for qualitative spatial and temporal reasoning.

Ling Cai, Krzysztof Janowicz, Rui Zhu, Gengchen Mai, Bo Yan, Zhangyu Wang

GeoInformatica, April, 2023

RailDepth: A Self-Supervised Network for Railway Depth Completion Based on a Pooling-Guidance Mechanism.

Songyue Yang, Zhangyu Wang, Guizhen Yu, Bin Zhou, Peng Chen, Sifen Wang, Qiang Zhang

IEEE Trans. Instrum. Meas., 2023

A Ground Segmentation Method Based on Point Cloud Map for Unstructured Roads.

Zixuan Li, Haiying Lin, Zhangyu Wang, Huazhi Li, Miao Yu, Jie Wang

CoRR, 2023

Offset-Guided Attention Network for Room-Level Aware Floor Plan Segmentation.

Zhangyu Wang, Ningyuan Sun

IEEE Access, 2023

The KnowWhereGraph Ontology: A Showcase.

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

Proceedings of the Joint Ontology Workshops 2023 Episode IX: The Quebec Summer of Ontology co-located with the 13th International Conference on Formal Ontology in Information Systems (FOIS 2023), 2023

Cellular Network Optimization by Deep Reinforcement Learning and AI-Enhanced Ray Tracing.

Zhangyu Wang, Serkan Isci, Yaron Kanza, Velin Kounev, Yusef Shaqalle

Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Spatial Big Data and AI for Industrial Applications, 2023

Generate earthquake catalog using the VAE method.

Zhangyu Wang, Jie Zhang

Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning, 2023

2022

A Topology Guided Method for Rail-Track Detection.

Songyue Yang, Guizhen Yu, Zhangyu Wang, Bin Zhou, Peng Chen, Qiang Zhang

IEEE Trans. Veh. Technol., 2022

A Train Positioning Method Based-On Vision and Millimeter-Wave Radar Data Fusion.

Zhangyu Wang, Guizhen Yu, Bin Zhou, Pengcheng Wang, Xinkai Wu

IEEE Trans. Intell. Transp. Syst., 2022

FarNet: An Attention-Aggregation Network for Long-Range Rail Track Point Cloud Segmentation.

Zhangyu Wang, Guizhen Yu, Peng Chen, Bin Zhou, Songyue Yang

IEEE Trans. Intell. Transp. Syst., 2022

Object Classification Based on Enhanced Evidence Theory: Radar-Vision Fusion Approach for Roadside Application.

Pengfei Liu, Guizhen Yu, Zhangyu Wang, Bin Zhou, Peng Chen

IEEE Trans. Instrum. Meas., 2022

Diverse data! Diverse schemata?

Krzysztof Janowicz, Cogan Shimizu, Pascal Hitzler, Gengchen Mai, Shirly Stephen, Rui Zhu, Ling Cai, Lu Zhou, Mark Schildhauer, Zilong Liu, Zhangyu Wang, Meilin Shi

Semantic Web, 2022

Autonomous obstacle avoidance of UAV based on deep reinforcement learning.

Songyue Yang, Guizhen Yu, Zhijun Meng, Zhangyu Wang, Han Li

J. Intell. Fuzzy Syst., 2022

2021

The Identification and Compensation of Static Drift Induced by External Disturbances for LiDAR SLAM.

Da Li, Bin Zhou, Zhangyu Wang, Songyue Yang, Pengfei Liu

IEEE Access, 2021

2020

A Forward Train Detection Method Based on Convolutional Neural Network.

Zhangyu Wang, Tony Lee, Michael Leung, Simon Tang, Qiang Zhang, Zining Yang, Virginia Cheung

Proceedings of the Intelligent Human Systems Integration 2020, 2020

From PIace2Vec to Multi-Scale Built-Environment Representation: A General-Purpose Distributional Embedding for Urban Data Analysis.

Zhangyu Wang, Vahid Moosavi

Proceedings of the LocalRec'20: Proceedings of the 4th ACM SIGSPATIAL Workshop on Location-Based Recommendations, 2020

2019

Detection Algorithm of Takeover Behavior of Automatic Vehicles' Drivers Based on Deep Learning.

Li Zhang, Guizhen Yu, Bin Zhou, Zhangyu Wang, Guoyan Xu

Proceedings of the 4th International Conference on Intelligent Transportation Engineering, 2019

2018

Efficient Rail Area Detection Using Convolutional Neural Network.

Zhangyu Wang, Xinkai Wu, Guizhen Yu, Mingxing Li

IEEE Access, 2018