Liang Yu

22 papers A* 2A 3B 1C 1Journal 7Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Fine-Grained Trajectory Reconstruction by Microscopic Traffic Simulation With Dynamic Data-Driven Evolutionary Optimization.
IEEE Trans. Intell. Transp. Syst.
Htet Naing, Wentong Cai, Jinqiang Yu, Jinghui Zhong, Liang Yu
2025 A* conf
Generative Human Trajectory Recovery via Embedding-Space Conditional Diffusion.
ICML
Kaijun Liu, Sijie Ruan, Liang Zhang, Cheng Long, Shuliang Wang, Liang Yu
2025 J jnl
Modeling On-road Trajectories with Multi-task Learning.
ACM Trans. Knowl. Discov. Data
Kaijun Liu, Sijie Ruan, Cheng Long, Liang Yu
2023 — conf
Physics-Guided Graph Convolutional Network for Modeling Car-Following Behaviors Under Distributional Shift.
ITSC
Htet Naing, Wentong Cai, Jinqiang Yu, Tiantian Wu, Liang Yu
2023 J jnl
Road Extraction With Satellite Images and Partial Road Maps.
IEEE Trans. Geosci. Remote. Sens.
Qianxiong Xu, Cheng Long, Liang Yu, Chen Zhang
2023 J jnl
Road Extraction with Satellite Images and Partial Road Maps.
CoRR
Qianxiong Xu, Cheng Long, Liang Yu, Chen Zhang
2022 — conf
Dynamic Car-following Model Calibration with Deep Reinforcement Learning.
ITSC
Htet Naing, Wentong Cai, Tiantian Wu, Liang Yu
2022 J jnl
Dynamic Data-driven Microscopic Traffic Simulation using Jointly Trained Physics-guided Long Short-Term Memory.
ACM Trans. Model. Comput. Simul.
Htet Naing, Wentong Cai, Nan Hu, Tiantian Wu, Liang Yu
2022 B conf
Modeling Trajectories with Multi-task Learning.
MDM
Kaijun Liu, Sijie Ruan, Qianxiong Xu, Cheng Long, Nan Xiao, Nan Hu, Liang Yu, Sinno Jialin Pan
2022 A conf
Traffic Speed Imputation with Spatio-Temporal Attentions and Cycle-Perceptual Training.
CIKM
Qianxiong Xu, Sijie Ruan, Cheng Long, Liang Yu, Chen Zhang
2021 — conf
Data-driven Microscopic Traffic Modelling and Simulation using Dynamic LSTM.
SIGSIM-PADS
Htet Naing, Wentong Cai, Nan Hu, Tiantian Wu, Liang Yu
2020 A conf
Generating Full Spatiotemporal Vehicular Paths: A Data Fusion Approach.
CIKM
Nan Xiao, Nan Hu, Liang Yu, Cheng Long
2020 J jnl
On-Demand Greenwave for Emergency Vehicles in a Time-Varying Road Network With Uncertainties.
IEEE Trans. Intell. Transp. Syst.
Wanli Min, Liang Yu, Peng Chen, Maolei Zhang, Yu Liu, Jiawei Wang
2019 A* conf
Large Scale Traffic Signal Network Optimization - A Paradigm Shift Driven by Big Data.
ICDE
Liang Yu, Jinqiang Yu, Maolei Zhang, Xin Zhang, Yuehu Liu, Hui Zhang, Wanli Min
2017 C conf
STA: A Spatio-Temporal Thematic Analytics Framework for Urban Ground Sensing.
ADMA
Guizi Chen, Liang Yu, Wee Siong Ng, Huayu Wu, Usha Nanthani Kunasegaran
2016 A conf
Bus Routes Design and Optimization via Taxi Data Analytics.
CIKM
Seong-Ping Chuah, Huayu Wu, Yu Lu, Liang Yu, Stéphane Bressan
2015 — conf
Next Generation of Journey Planner in a Smart City.
ICDM Workshops
Liang Yu, Dongxu Shao, Huayu Wu
2015 — conf
Predicting Home and Work Locations Using Public Transport Smart Card Data by Spectral Analysis.
ITSC
Guangxia Li, Liang Yu, Wee Siong Ng, Wei Wu, Shen-Tat Goh
2015 J jnl
Using Linked Data in a heterogeneous Sensor Web: challenges, experiments and lessons learned.
Int. J. Digit. Earth
Liang Yu, Yong Liu
2015 — conf
iVizTRANS: Interactive visual learning for home and work place detection from massive public transportation data.
VAST
Liang Yu, Wei Wu, Xiaohui Li, Guangxia Li, Wee Siong Ng, See-Kiong Ng, Zhongwen Huang, Anushiya Arunan, Hui Min Watt
2011 — conf
Going Beyond Citizen Data Collection with Mapster: A Mobile+Cloud Real-Time Citizen Science Experiment.
e-Science Workshops
Yong Liu, Pratch Piyawongwisal, Sahil Handa, Liang Yu, Yan Xu, Arjmand Samuel
2011 — conf
SGST: an open source semantic geostreaming toolkit.
GIS-IWGS
Jong Lee, Yong Liu, Liang Yu