Going Beyond Citizen Data Collection with Mapster: A Mobile+Cloud Real-Time Citizen Science Experiment. - Yong Liu 001; Pratch Piyawongwisal; Sahil Handa; Liang Yu 005; Yan Xu; Arjmand Samuel (e-Science Workshops, 2011)

SGST: an open source semantic geostreaming toolkit. - Jong Lee; Yong Liu 001; Liang Yu 005 (GIS-IWGS, 2011)

Next Generation of Journey Planner in a Smart City. - Liang Yu 005; Dongxu Shao; Huayu Wu 001 (ICDM Workshops, 2015)

iVizTRANS: Interactive visual learning for home and work place detection from massive public transportation data. - Liang Yu 005; Wei Wu 020; Xiaohui Li 002; Guangxia Li; Wee Siong Ng; See-Kiong Ng; Zhongwen Huang; Anushiya Arunan; Hui Min Watt (VAST, 2015)

Predicting Home and Work Locations Using Public Transport Smart Card Data by Spectral Analysis. - Guangxia Li; Liang Yu 005; Wee Siong Ng; Wei Wu 020; Shen-Tat Goh (ITSC, 2015)

Using Linked Data in a heterogeneous Sensor Web: challenges, experiments and lessons learned. - Liang Yu 005; Yong Liu 001 (Int. J. Digit. Earth, 2015)

Bus Routes Design and Optimization via Taxi Data Analytics. - Seong-Ping Chuah; Huayu Wu 001; Yu Lu 003; Liang Yu 005; Stéphane Bressan (CIKM, 2016)

STA: A Spatio-Temporal Thematic Analytics Framework for Urban Ground Sensing. - Guizi Chen; Liang Yu 005; Wee Siong Ng; Huayu Wu 001; Usha Nanthani Kunasegaran (ADMA, 2017)

Large Scale Traffic Signal Network Optimization - A Paradigm Shift Driven by Big Data. - Liang Yu 005; Jinqiang Yu; Maolei Zhang; Xin Zhang; Yuehu Liu; Hui Zhang; Wanli Min (ICDE, 2019)

Generating Full Spatiotemporal Vehicular Paths: A Data Fusion Approach. - Nan Xiao 001; Nan Hu; Liang Yu 005; Cheng Long 001 (CIKM, 2020)

On-Demand Greenwave for Emergency Vehicles in a Time-Varying Road Network With Uncertainties. - Wanli Min; Liang Yu 005; Peng Chen; Maolei Zhang; Yu Liu; Jiawei Wang (IEEE Trans. Intell. Transp. Syst., 2020)

Data-driven Microscopic Traffic Modelling and Simulation using Dynamic LSTM. - Htet Naing; Wentong Cai 001; Nan Hu; Tiantian Wu; Liang Yu 005 (SIGSIM-PADS, 2021)

Traffic Speed Imputation with Spatio-Temporal Attentions and Cycle-Perceptual Training. - Qianxiong Xu; Sijie Ruan; Cheng Long 001; Liang Yu 005; Chen Zhang 013 (CIKM, 2022)

Dynamic Car-following Model Calibration with Deep Reinforcement Learning. - Htet Naing; Wentong Cai 001; Tiantian Wu; Liang Yu 005 (ITSC, 2022)

Modeling Trajectories with Multi-task Learning. - Kaijun Liu; Sijie Ruan; Qianxiong Xu; Cheng Long 001; Nan Xiao 001; Nan Hu; Liang Yu 005; Sinno Jialin Pan (MDM, 2022)

Dynamic Data-driven Microscopic Traffic Simulation using Jointly Trained Physics-guided Long Short-Term Memory. - Htet Naing; Wentong Cai 001; Nan Hu; Tiantian Wu; Liang Yu 005 (ACM Trans. Model. Comput. Simul., 2022)

Physics-Guided Graph Convolutional Network for Modeling Car-Following Behaviors Under Distributional Shift. - Htet Naing; Wentong Cai 001; Jinqiang Yu; Tiantian Wu; Liang Yu 005 (ITSC, 2023)

Road Extraction With Satellite Images and Partial Road Maps. - Qianxiong Xu; Cheng Long 001; Liang Yu 005; Chen Zhang 013 (IEEE Trans. Geosci. Remote. Sens., 2023)

Modeling On-road Trajectories with Multi-task Learning. - Kaijun Liu; Sijie Ruan; Cheng Long 001; Liang Yu 005 (ACM Trans. Knowl. Discov. Data, 2025)

Fine-Grained Trajectory Reconstruction by Microscopic Traffic Simulation With Dynamic Data-Driven Evolutionary Optimization. - Htet Naing; Wentong Cai 001; Jinqiang Yu; Jinghui Zhong; Liang Yu 005 (IEEE Trans. Intell. Transp. Syst., 2025)