Yu Liu

68 papers A* 10A 1B 2Journal 47Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bridging data gaps of rare conditions in ICU: a multi-disease adaptation approach for clinical prediction.
npj Digit. Medicine
Mingcheng Zhu, Yu Liu, Zhiyao Luo, Tingting Zhu
2026 J jnl
Real-World Classification of Student Stress and Fatigue Using Wearable PPG Recordings.
IEEE Trans. Affect. Comput.
Justin Laiti, Yu Liu, Pádraic J. Dunne, Elaine Byrne, Tingting Zhu
2026 J jnl
Standing on the Shoulders of Giants: Rethinking EEG Foundation Model Pretraining via Multi-Teacher Distillation.
CoRR
Chenqi Li, Yu Liu, Shuo Zhang, Timothy Denison, Tingting Zhu
2026 J jnl
The Taxonomies, Training, and Applications of Event Stream Modelling for Electronic Health Records.
CoRR
Mingcheng Zhu, Yu Liu, Zhiyao Luo, Tingting Zhu
2026 J jnl
Transient Resource Provisioning for Connected Autonomous Vehicles-Oriented Edge Slicing: A Learning-Based Two-Timescale Approach.
IEEE Trans. Netw.
Yu Liu, Jingyu Wang, Qi Qi, Dezhi Chen, Zirui Zhuang, Jianxin Liao, Zhu Han
2025 J jnl
A pipelining task offloading strategy via delay-aware multi-agent reinforcement learning in Cybertwin-enabled 6G network.
Digit. Commun. Networks
Haiwen Niu, Luhan Wang, Keliang Du, Zhaoming Lu, Xiangming Wen, Yu Liu
2025 J jnl
BioX-Bridge: Model Bridging for Unsupervised Cross-Modal Knowledge Transfer across Biosignals.
CoRR
Chenqi Li, Yu Liu, Timothy Denison, Tingting Zhu
2025 J jnl
Bridging Data Gaps of Rare Conditions in ICU: A Multi-Disease Adaptation Approach for Clinical Prediction.
CoRR
Mingcheng Zhu, Yu Liu, Zhiyao Luo, Tingting Zhu
2025 J jnl
Modeling N-ary Relational Knowledge Bases with Tensor Decomposition.
ACM Trans. Intell. Syst. Technol.
Yu Liu, Quanming Yao, Yong Li
2025 J jnl
Multi-teacher self-distillation based on adaptive weighting and activation pattern for enhancing lightweight arrhythmia recognition.
Inf. Fusion
Zhongyu Wang, Caiyun Ma, Shuo Zhang, Minghui Zhao, Yu Liu, Lina Zhao, Tingting Zhu, Jianqing Li, Chengyu Liu
2025 A* conf
OpenCarbon: A Contrastive Learning-based Cross-Modality Neural Approach for High-Resolution Carbon Emission Prediction Using Open Data.
IJCAI
Jinwei Zeng, Yu Liu, Guozhen Zhang, Jingtao Ding, Yuming Lin, Jian Yuan, Yong Li
2025 J jnl
OpenCarbon: A Contrastive Learning-based Cross-Modality Neural Approach for High-Resolution Carbon Emission Prediction Using Open Data.
CoRR
Jinwei Zeng, Yu Liu, Guozhen Zhang, Jingtao Ding, Yuming Lin, Jian Yuan, Yong Li
2025 A conf
ProtoEHR: Hierarchical Prototype Learning for EHR-based Healthcare Predictions.
CIKM
Zi Cai, Yu Liu, Zhiyao Luo, Tingting Zhu
2025 J jnl
ProtoEHR: Hierarchical Prototype Learning for EHR-based Healthcare Predictions.
CoRR
Zi Cai, Yu Liu, Zhiyao Luo, Tingting Zhu
2025 J jnl
STTF: A Spatiotemporal Transformer Framework for Multi-task Mobile Network Prediction.
IEEE Trans. Mob. Comput.
Jiahui Gong, Yu Liu, Tong Li, Jingtao Ding, Zhaocheng Wang, Depeng Jin
2025 — conf
SurvUnc: A Meta-Model Based Uncertainty Quantification Framework for Survival Analysis.
KDD (2)
Yu Liu, Weiyao Tao, Tong Xia, Simon Knight, Tingting Zhu
2025 J jnl
SurvUnc: A Meta-Model Based Uncertainty Quantification Framework for Survival Analysis.
CoRR
Yu Liu, Weiyao Tao, Tong Xia, Simon Knight, Tingting Zhu
2024 — conf
Are Time Series Foundation Models Ready for Vital Sign Forecasting in Healthcare?
ML4H@NeurIPS
Xiao Gu, Yu Liu, Zaineb Mohsin, Jonathan Bedford, Anshul Thakur, Peter J. Watkinson, Lei A. Clifton, Tingting Zhu, David A. Clifton
2024 A* conf
Estimating On-Road Transportation Carbon Emissions from Open Data of Road Network and Origin-Destination Flow Data.
AAAI
Jinwei Zeng, Yu Liu, Jingtao Ding, Jian Yuan, Yong Li
2024 J jnl
Estimating On-road Transportation Carbon Emissions from Open Data of Road Network and Origin-destination Flow Data.
CoRR
Jinwei Zeng, Yu Liu, Jingtao Ding, Jian Yuan, Yong Li
2024 A* conf
From Pixels to Progress: Generating Road Network from Satellite Imagery for Socioeconomic Insights in Impoverished Areas.
IJCAI
Yanxin Xi, Yu Liu, Zhicheng Liu, Sasu Tarkoma, Pan Hui, Yong Li
2024 J jnl
From Pixels to Progress: Generating Road Network from Satellite Imagery for Socioeconomic Insights in Impoverished Areas.
CoRR
Yanxin Xi, Yu Liu, Zhicheng Liu, Sasu Tarkoma, Pan Hui, Yong Li
2024 J jnl
Generalizing Hyperedge Expansion for Hyper-relational Knowledge Graph Modeling.
CoRR
Yu Liu, Shu Yang, Jingtao Ding, Quanming Yao, Yong Li
2024 J jnl
KGDA: A Knowledge Graph Driven Decomposition Approach for Cellular Traffic Prediction.
ACM Trans. Intell. Syst. Technol.
Jiahui Gong, Tong Li, Huandong Wang, Yu Liu, Xing Wang, Zhendong Wang, Chao Deng, Junlan Feng, Depeng Jin, Yong Li
2024 A* conf
Long-term Detection and Monitory of Chinese Urban Village Using Satellite Imagery.
IJCAI
Yuming Lin, Xin Zhang, Yu Liu, Zhenyu Han, Qingmin Liao, Yong Li
2024 J jnl
Mobility Prediction via Rule-enhanced Knowledge Graph.
ACM Trans. Knowl. Discov. Data
Qiaohong Yu, Huandong Wang, Yu Liu, Depeng Jin, Yong Li, Lin Zhu, Junlan Feng
2024 A* conf
OpenSiteRec: An Open Dataset for Site Recommendation.
SIGIR
Xinhang Li, Xiangyu Zhao, Yejing Wang, Yu Liu, Chong Chen, Cheng Long, Yong Zhang, Chunxiao Xing
2024 J jnl
Scaling law of real traffic jams under varying travel demand.
EPJ Data Sci.
Rui Chen, Yuming Lin, Huan Yan, Jiazhen Liu, Yu Liu, Yong Li
2024 B conf
Signaling Priority Reconstruction for Micro-serviced AMF in 6G.
WCNC
Jihang Chen, Luhan Wang, Yu Liu, Zhaoming Lu
2024 J jnl
Slice Sandwich: Jagged Slicing Multi-Tier Dynamic Resources for Diversified V2X Services.
IEEE Trans. Mob. Comput.
Yu Liu, Zirui Zhuang, Qi Qi, Jingyu Wang, Dezhi Chen, Lu Lu, Hongwei Yang, Jianxin Liao, Zhu Han
2024 J jnl
Synergizing LLM Agents and Knowledge Graph for Socioeconomic Prediction in LBSN.
CoRR
Zhilun Zhou, Jingyang Fan, Yu Liu, Fengli Xu, Depeng Jin, Yong Li
2024 A* conf
UV-SAM: Adapting Segment Anything Model for Urban Village Identification.
AAAI
Xin Zhang, Yu Liu, Yuming Lin, Qingmin Liao, Yong Li
2024 J jnl
UV-SAM: Adapting Segment Anything Model for Urban Village Identification.
CoRR
Xin Zhang, Yu Liu, Yuming Lin, Qingming Liao, Yong Li
2024 J jnl
Urban Knowledge Graph Aided Mobile User Profiling.
ACM Trans. Knowl. Discov. Data
Yu Liu, Zhilun Zhou, Yong Li, Depeng Jin
2023 J jnl
A Satellite Imagery Dataset for Long-Term Sustainable Development in United States Cities.
CoRR
Yanxin Xi, Yu Liu, Tong Li, Jintao Ding, Yunke Zhang, Sasu Tarkoma, Yong Li, Pan Hui
2023 — conf
Devil in the Landscapes: Inferring Epidemic Exposure Risks from Street View Imagery.
SIGSPATIAL/GIS
Zhenyu Han, Yanxin Xi, Tong Xia, Yu Liu, Yong Li
2023 J jnl
Devil in the Landscapes: Inferring Epidemic Exposure Risks from Street View Imagery.
CoRR
Zhenyu Han, Yanxin Xi, Tong Xia, Yu Liu, Yong Li
2023 — conf
Empowering Spatial Knowledge Graph for Mobile Traffic Prediction.
SIGSPATIAL/GIS
Jiahui Gong, Yu Liu, Tong Li, Haoye Chai, Xing Wang, Junlan Feng, Chao Deng, Depeng Jin, Yong Li
2023 A* conf
Hierarchical Knowledge Graph Learning Enabled Socioeconomic Indicator Prediction in Location-Based Social Network.
WWW
Zhilun Zhou, Yu Liu, Jingtao Ding, Depeng Jin, Yong Li
2023 — conf
KnowSite: Leveraging Urban Knowledge Graph for Site Selection.
SIGSPATIAL/GIS
Yu Liu, Jingtao Ding, Yong Li
2023 A* conf
Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic Prediction.
WWW
Yu Liu, Xin Zhang, Jingtao Ding, Yanxin Xi, Yong Li
2023 J jnl
Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic Prediction.
CoRR
Yu Liu, Xin Zhang, Jingtao Ding, Yanxin Xi, Yong Li
2023 J jnl
ML-SLD: A message-level stateless design for cloud-native 5G core network.
Digit. Commun. Networks
Keliang Du, Luhan Wang, Xiangming Wen, Yu Liu, Haiwen Niu, Shaoxin Huang
2023 J jnl
OpenSiteRec: An Open Dataset for Site Recommendation.
CoRR
Xinhang Li, Xiangyu Zhao, Yejing Wang, Yu Liu, Yong Li, Cheng Long, Yong Zhang, Chunxiao Xing
2023 J jnl
Toward High-Powered Connected Autonomous Vehicles: A Cooperative Solution via Transient Edge Intelligence Provision.
IEEE Commun. Mag.
Yu Liu, Jingyu Wang, Qi Qi, Zirui Zhuang, Jianxin Liao, Zhu Han
2023 — conf
Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising Diffusion.
SIGSPATIAL/GIS
Zhilun Zhou, Jingtao Ding, Yu Liu, Depeng Jin, Yong Li
2023 J jnl
Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising Diffusion.
CoRR
Zhilun Zhou, Jingtao Ding, Yu Liu, Depeng Jin, Yong Li
2023 J jnl
UrbanKG: An Urban Knowledge Graph System.
ACM Trans. Intell. Syst. Technol.
Yu Liu, Jingtao Ding, Yanjie Fu, Yong Li
2021 J jnl
Knowledge-driven Site Selection via Urban Knowledge Graph.
CoRR
Yu Liu, Jingtao Ding, Yong Li
2021 J jnl
Mobility-Aware Joint Task Scheduling and Resource Allocation for Cooperative Mobile Edge Computing.
IEEE Trans. Wirel. Commun.
Umber Saleem, Yu Liu, Sobia Jangsher, Yong Li, Tao Jiang
2021 J jnl
Reinforcement Learning Meets Wireless Networks: A Layering Perspective.
IEEE Internet Things J.
Yawen Chen, Yu Liu, Ming Zeng, Umber Saleem, Zhaoming Lu, Xiangming Wen, Depeng Jin, Zhu Han, Tao Jiang, Yong Li
2021 A* conf
Role-Aware Modeling for N-ary Relational Knowledge Bases.
WWW
Yu Liu, Quanming Yao, Yong Li
2021 J jnl
Role-Aware Modeling for N-ary Relational Knowledge Bases.
CoRR
Yu Liu, Quanming Yao, Yong Li
2021 J jnl
Spatio-Temporal Urban Knowledge Graph Enabled Mobility Prediction.
CoRR
Huandong Wang, Qiaohong Yu, Yu Liu, Depeng Jin, Yong Li
2021 J jnl
Spatio-Temporal Urban Knowledge Graph Enabled Mobility Prediction.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Huandong Wang, Qiaohong Yu, Yu Liu, Depeng Jin, Yong Li
2020 A* conf
Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases.
WWW
Yu Liu, Quanming Yao, Yong Li
2020 J jnl
Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases.
CoRR
Yu Liu, Quanming Yao, Yong Li
2020 J jnl
Joint Optimization of Path Planning and Resource Allocation in Mobile Edge Computing.
IEEE Trans. Mob. Comput.
Yu Liu, Yong Li, Yong Niu, Depeng Jin
2020 J jnl
Latency Minimization for D2D-Enabled Partial Computation Offloading in Mobile Edge Computing.
IEEE Trans. Veh. Technol.
Umber Saleem, Yu Liu, Sobia Jangsher, Xiaoming Tao, Yong Li
2020 J jnl
Symmetry between Theoretical and Physical Investigation of Water Contamination Using Amplitude Variation with Offset Analysis of Ground-Penetrating Radar Data.
Symmetry
Ibrar Iqbal, Gang Tian, Zhejiang Wang, Zahid Masood, Yu Liu, Wenke Zhao, Yong Li
2018 J jnl
Device-to-Device Communications Enabled Energy Efficient Multicast Scheduling in mmWave Small Cells.
IEEE Trans. Commun.
Yong Niu, Yu Liu, Yong Li, Xinlei Chen, Zhangdui Zhong, Zhu Han
2018 — conf
Exploiting Multi-Hop Relay to Achieve Mobility-Aware Transmission Scheduling in mmWave Systems.
ICC
Yu Liu, Yong Niu, Yong Li, Ming Zeng, Zhu Han
2018 J jnl
Mobility-Aware Caching Scheduling for Fog Computing in mmWave Band.
IEEE Access
Yong Niu, Yu Liu, Yong Li, Zhangdui Zhong, Bo Ai, Pan Hui
2018 J jnl
Mobility-Aware Transmission Scheduling Scheme for Millimeter-Wave Cells.
IEEE Trans. Wirel. Commun.
Yu Liu, Xinlei Chen, Yong Niu, Bo Ai, Yong Li, Depeng Jin
2018 J jnl
Mobility-aware Caching Scheduling for Fog Computing in mmWave Band.
CoRR
Yong Niu, Yu Liu, Yong Li, Zhangdui Zhong, Bo Ai, Pan Hui
2018 B conf
Performance Guaranteed Partial Offloading for Mobile Edge Computing.
GLOBECOM
Umber Saleem, Yu Liu, Sobia Jangsher, Yong Li
2017 J jnl
Device-to-Device Communications Enabled Energy Efficient Multicast Scheduling in mmWave Small Cells.
CoRR
Yong Niu, Yu Liu, Yong Li, Xinlei Chen, Zhangdui Zhong, Zhu Han
2012 — conf
Efficient Group Learning with Hypergraph Partition in Multi-task Learning.
CCPR
Quanming Yao, Xiubao Jiang, Mingming Gong, Xinge You, Yu Liu, Duanquan Xu