Yu Liu

Publications

equal contribution,  corresponding author

Preprints

Identifying Profiles, Trajectories, Burden, Social and Biological Factors in 3.3 Million Individuals with Multimorbidity in England

Yu Liu, Clare Bankhead, Cynthia Wright Drakesmith, Catherine Pope, David Gonzalez-Chica, Subhashisa Swain, CoMPuTE, Carl Heneghan, Rafael Perera-Salazar, Tingting Zhu

2026

BioX-Bridge: Model Bridging for Unsupervised Cross-Modal Knowledge Transfer across Biosignals

Chenqi Li, Yu Liu, Timothy Denison, Tingting Zhu

International Conference on Learning Representations (ICLR), 2026

2025

SurvUnc: A Meta-Model Based Uncertainty Quantification Framework for Survival Models

Yu Liu, Weiyao Tao, Tong Xia, Simon Knight, Tingting Zhu

ACM Conference on Knowledge Discovery and Data Mining (KDD), 2025

Modeling N-ary Relational Knowledge Bases with Tensor Decomposition

Yu Liu, Quanming Yao, Yong Li

ACM Transactions on Intelligent Systems and Technology (TIST), 2025

ProtoEHR: Hierarchical Prototype Learning for EHR-based Healthcare Predictions

Zi Cai, Yu Liu, Zhiyao Luo, Tingting Zhu

ACM International Conference on Information and Knowledge Management (CIKM), 2025

DoseSurv: Predicting Personalized Survival Outcomes under Continuous-valued Treatments

Moritz Gögl, Yu Liu, Christopher Yau, Peter Watkinson, Tingting Zhu

Annual Conference on Neural Information Processing Systems (NeurIPS), 2025

Bridging Data Gaps of Rare Conditions in ICU: A Multi-Disease Adaptation Approach for Clinical Prediction

Mingcheng Zhu, Yu Liu, Zhiyao Luo, Tingting Zhu

npj Digital Medicine, 2025

Real-World Classification of Student Stress and Fatigue Using Wearable PPG Recordings

Justin Laiti, Yu Liu, Padraic J. Dunne, Elaine Byrne, Tingting Zhu

IEEE Transactions on Affective Computing (TAC), 2025

OpenCarbon: A Contrastive Learning-based Cross-Modality Neural Approach for High-Resolution Carbon Emission Prediction Using Open Data

Jinwei Zeng, Yu Liu, Guozhen Zhang, Jingtao Ding, Yuming Lin, Jian Yuan, Yong Li

International Joint Conference on Artificial Intelligence (IJCAI), 2025

STTF: A Spatiotemporal Transformer Framework for Multi-task Mobile Network Prediction

Jiahui Gong, Yu Liu, Tong Li, Jingtao Ding, Zhaocheng Wang, Depeng Jin

IEEE Transactions on Mobile Computing (TMC), 2025

Urban Food Delivery Services as Extreme Heat Adaptation

Yunke Zhang, Daoping Wang, Yu Liu, Kerui Du, Peng Lu, Pan He, Yong Li

Nature Cities, 2025 (Cover Article)

MetaCity: Data-driven Sustainable Development of Complex Cities

Yunke Zhang, Yuming Lin, Guanjie Zheng, Yu Liu, Nicholas Sukiennik, Fengli Xu, Yongjun Xu, Feng Lu, Qi Wang, Yuan Lai, Li Tian, Nan Li, Dongping Fang, Fei Wang, Tao Zhou, Yong Li, Yu Zheng, Zhiqiang Wu, Huadong Guo

The Innovation, 2025

Multi-Teacher Self-Distillation Based on Adaptive Weighting and Activation Pattern for Enhancing Lightweight Arrhythmia Recognition

Zhongyu Wang, Caiyun Ma, Shuo Zhang, Minghui Zhao, Yu Liu, Lina Zhao, Tingting Zhu, Jianqing Li, Chengyu Liu

Information Fusion, 2025

2024

Are Time Series Foundation Models Ready for Vital Sign Forecasting in Healthcare?

Xiao Gu, Yu Liu, Zaineb Mohsin, Jonathan Bedford, Anshul Thakur, Peter Watkinson, Lei Clifton, Tingting Zhu, David A. Clifton

Machine Learning for Health (ML4H), 2024

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

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

Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 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 AAAI Conference on Artificial Intelligence (AAAI), 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

International Joint Conference on Artificial Intelligence (IJCAI), 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

International Joint Conference on Artificial Intelligence (IJCAI), 2024

Mobility Prediction via Rule-enhanced Knowledge Graph

Qiaohong Yu, Huandong Wang, Yu Liu, Depeng Jin, Yong Li, Lin Zhu, Junlan Feng

ACM Transactions on Knowledge Discovery from Data (TKDD), 2024

KGDA: A Knowledge Graph Driven Decomposition Approach for Cellular Traffic Prediction

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

ACM Transactions on Intelligent Systems and Technology (TIST), 2024

OpenSiteRec: An Open Dataset for Site Recommendation

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

ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 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 Science, 2024

2023

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

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

ACM The Web Conference (WWW), 2023

Knowsite: Leveraging Urban Knowledge Graph for Site Selection

Yu Liu, Jingtao Ding, Yong Li

ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL), 2023

UrbanKG: An Urban Knowledge Graph System

Yu Liu, Jingtao Ding, Yanjie Fu, Yong Li

ACM Transactions on Intelligent Systems and Technology (TIST), 2023

Urban Knowledge Graph Aided Mobile User Profiling

Yu Liu, Zhilun Zhou, Yong Li, Depeng Jin

ACM Transactions on Knowledge Discovery from Data (TKDD), 2024

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

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

The Web Conference (WWW), 2023

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

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

Nature Scientific Data, 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

ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL), 2023

Towards Generative Modeling of Urban Flow Through Knowledge-enhanced Denoising Diffusion

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

ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL), 2023

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

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

ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL), 2023

City-scale Vehicle Trajectory Data from Traffic Camera Videos

Fudan Yu, Huan Yan, Rui Chen, Guozhen Zhang, Yu Liu, Meng Chen, Yong Li

Nature Scientific Data, 2023

2021

Role-aware Modeling for N-ary Relational Knowledge Bases

Yu Liu, Quanming Yao, Yong Li

ACM The Web Conference (WWW), 2021

Spatio-Temporal Urban Knowledge Graph Enabled Mobility Prediction

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

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (UbiComp), 2021

Before 2021

Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases

Yu Liu, Quanming Yao, Yong Li

ACM The Web Conference (WWW), 2020

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

Yu Liu, Yong Li, Yong Niu, Depeng Jin

IEEE Transactions on Mobile Computing (TMC), 2020

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 of Things Journal (IoT J), 2020

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

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

IEEE Transactions on Wireless Communications (TWC), 2020

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

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

IEEE Transactions on Vehicular Technology (TVT), 2020

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

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

IEEE International Conference on Communications (ICC), 2018

A Planar Printed Nona-Band Loop-Monopole Reconfigurable Antenna for Mobile Handsets

Yu Liu, Peiqin Liu, Zhijun Meng, Lifeng Wang, Yue Li

IEEE Antennas and Wireless Propagation Letters (AWPL), 2018

Mobility-Aware Transmission Scheduling Scheme for Millimeter-Wave Cells

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

IEEE Transactions on Wireless Communications (TWC), 2018

Performance Guaranteed Partial Offloading for Mobile Edge Computing

Umber Saleem, Yu Liu, Sobia Jangsher, Yong Li

IEEE Global Communications Conference (GLOBECOM), 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 Transactions on Communications (TCOM), 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