Yu Liu

According to our database, Yu Liu authored at least 36 papers between 2012 and 2024.

Collaborative distances:

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

2024

Scaling law of real traffic jams under varying travel demand.

Rui Chen, Yuming Lin, Huan Yan, Jiazhen Liu, Yu Liu, Yong Li

EPJ Data Sci., December, 2024

Slice Sandwich: Jagged Slicing Multi-Tier Dynamic Resources for Diversified V2X Services.

Yu Liu, Zirui Zhuang, Qi Qi, Jingyu Wang, Dezhi Chen, Lu Lu, Hongwei Yang, Jianxin Liao, Zhu Han

IEEE Trans. Mob. Comput., May, 2024

Urban Knowledge Graph Aided Mobile User Profiling.

Yu Liu, Zhilun Zhou, Yong Li, Depeng Jin

ACM Trans. Knowl. Discov. Data, January, 2024

UV-SAM: Adapting Segment Anything Model for Urban Village Identification.

Xin Zhang, Yu Liu, Yuming Lin, Qingming Liao, Yong Li

CoRR, 2024

Signaling Priority Reconstruction for Micro-serviced AMF in 6G.

JiHang Chen, Luhan Wang, Yu Liu, Zhaoming Lu

Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

OpenSiteRec: An Open Dataset for Site Recommendation.

Xinhang Li, Xiangyu Zhao, Yejing Wang, Yu Liu, Chong Chen, Cheng Long, Yong Zhang, Chunxiao Xing

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

From Pixels to Progress: Generating Road Network from Satellite Imagery for Socioeconomic Insights in Impoverished Areas.

Yanxin Xi, Yu Liu, Zhicheng Liu, Sasu Tarkoma, Pan Hui, Yong Li

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Long-term Detection and Monitory of Chinese Urban Village Using Satellite Imagery.

Yuming Lin, Xin Zhang, Yu Liu, Zhenyu Han, Qingmin Liao, Yong Li

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

UV-SAM: Adapting Segment Anything Model for Urban Village Identification.

Xin Zhang, Yu Liu, Yuming Lin, Qingmin Liao, Yong Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Estimating On-Road Transportation Carbon Emissions from Open Data of Road Network and Origin-Destination Flow Data.

Jinwei Zeng, Yu Liu, Jingtao Ding, Jian Yuan, Yong Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Toward High-Powered Connected Autonomous Vehicles: A Cooperative Solution via Transient Edge Intelligence Provision.

Yu Liu, Jingyu Wang, Qi Qi, Zirui Zhuang, Jianxin Liao, Zhu Han

IEEE Commun. Mag., December, 2023

UrbanKG: An Urban Knowledge Graph System.

Yu Liu, Jingtao Ding, Yanjie Fu, Yong Li

ACM Trans. Intell. Syst. Technol., August, 2023

ML-SLD: A message-level stateless design for cloud-native 5G core network.

Keliang Du, Luhan Wang, Xiangming Wen, Yu Liu, Haiwen Niu, Shaoxin Huang

Digit. Commun. Networks, June, 2023

A Satellite Imagery Dataset for Long-Term Sustainable Development in United States Cities.

Yanxin Xi, Yu Liu, Tong Li, Jintao Ding, Yunke Zhang, Sasu Tarkoma, Yong Li, Pan Hui

CoRR, 2023

OpenSiteRec: An Open Dataset for Site Recommendation.

Xinhang Li, Xiangyu Zhao, Yejing Wang, Yu Liu, Yong Li, Cheng Long, Yong Zhang, Chunxiao Xing

CoRR, 2023

Hierarchical Knowledge Graph Learning Enabled Socioeconomic Indicator Prediction in Location-Based Social Network.

Zhilun Zhou, Yu Liu, Jingtao Ding, Depeng Jin, Yong Li

Proceedings of the ACM Web Conference 2023, 2023

Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic Prediction.

Yu Liu, Xin Zhang, Jingtao Ding, Yanxin Xi, Yong Li

Proceedings of the ACM Web Conference 2023, 2023

Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising Diffusion.

Zhilun Zhou, Jingtao Ding, Yu Liu, Depeng Jin, Yong Li

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

KnowSite: Leveraging Urban Knowledge Graph for Site Selection.

Yu Liu, Jingtao Ding, Yong Li

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

Devil in the Landscapes: Inferring Epidemic Exposure Risks from Street View Imagery.

Zhenyu Han, Yanxin Xi, Tong Xia, Yu Liu, Yong Li

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

Empowering Spatial Knowledge Graph for Mobile Traffic Prediction.

Jiahui Gong, Yu Liu, Tong Li, Haoye Chai, Xing Wang, Junlan Feng, Chao Deng, Depeng Jin, Yong Li

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

2021

Mobility-Aware Joint Task Scheduling and Resource Allocation for Cooperative Mobile Edge Computing.

Umber Saleem, Yu Liu, Sobia Jangsher, Yong Li, Tao Jiang

IEEE Trans. Wirel. Commun., 2021

Reinforcement Learning Meets Wireless Networks: A Layering Perspective.

Yawen Chen, Yu Liu, Ming Zeng, Umber Saleem, Zhaoming Lu, Xiangming Wen, Depeng Jin, Zhu Han, Tao Jiang, Yong Li

IEEE Internet Things J., 2021

Spatio-Temporal Urban Knowledge Graph Enabled Mobility Prediction.

Huandong Wang, Qiaohong Yu, Yu Liu, Depeng Jin, Yong Li

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Knowledge-driven Site Selection via Urban Knowledge Graph.

Yu Liu, Jingtao Ding, Yong Li

CoRR, 2021

Role-Aware Modeling for N-ary Relational Knowledge Bases.

Yu Liu, Quanming Yao, Yong Li

Proceedings of the WWW '21: The Web Conference 2021, 2021

2020

Latency Minimization for D2D-Enabled Partial Computation Offloading in Mobile Edge Computing.

Umber Saleem, Yu Liu, Sobia Jangsher, Xiaoming Tao, Yong Li

IEEE Trans. Veh. Technol., 2020

Joint Optimization of Path Planning and Resource Allocation in Mobile Edge Computing.

Yu Liu, Yong Li, Yong Niu, Depeng Jin

IEEE Trans. Mob. Comput., 2020

Symmetry between Theoretical and Physical Investigation of Water Contamination Using Amplitude Variation with Offset Analysis of Ground-Penetrating Radar Data.

Ibrar Iqbal, Gang Tian, Zhejiang Wang, Zahid Masood, Yu Liu, Wenke Zhao, Yong Li

Symmetry, 2020

Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases.

Yu Liu, Quanming Yao, Yong Li

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2018

Mobility-Aware Transmission Scheduling Scheme for Millimeter-Wave Cells.

Yu Liu, Xinlei Chen, Yong Niu, Bo Ai, Yong Li, Depeng Jin

IEEE Trans. Wirel. Commun., 2018

Device-to-Device Communications Enabled Energy Efficient Multicast Scheduling in mmWave Small Cells.

Yong Niu, Yu Liu, Yong Li, Xinlei Chen, Zhangdui Zhong, Zhu Han

IEEE Trans. Commun., 2018

Mobility-Aware Caching Scheduling for Fog Computing in mmWave Band.

Yong Niu, Yu Liu, Yong Li, Zhangdui Zhong, Bo Ai, Pan Hui

IEEE Access, 2018

Exploiting Multi-Hop Relay to Achieve Mobility-Aware Transmission Scheduling in mmWave Systems.

Yu Liu, Yong Niu, Yong Li, Ming Zeng, Zhu Han

Proceedings of the 2018 IEEE International Conference on Communications, 2018

Performance Guaranteed Partial Offloading for Mobile Edge Computing.

Umber Saleem, Yu Liu, Sobia Jangsher, Yong Li

Proceedings of the IEEE Global Communications Conference, 2018

2012

Efficient Group Learning with Hypergraph Partition in Multi-task Learning.

Quanming Yao, Xiubao Jiang, Mingming Gong, Xinge You, Yu Liu, Duanquan Xu

Proceedings of the Pattern Recognition - Chinese Conference, 2012