Optimal stochastic control for parking systems: occupancy-driven parking pricing. - Sean Qian; Ram Rajagopal (CDC, 2013)

Freeway Lane Management Approach In Mixed Traffic Environment with Connected Autonomous Vehicles. - Omar Hussain 001; Amir Ghiasi; Xiaopeng Shaw Li; Zhen Sean Qian (CoRR, 2016)

A deep learning approach to real-time parking occupancy prediction in spatio-termporal networks incorporating multiple spatio-temporal data sources. - Shuguan Yang; Wei Ma; Xidong Pi; Sean Qian (CoRR, 2019)

Estimating multi-class dynamic origin-destination demand through a forward-backward algorithm on computational graphs. - Wei Ma; Xidong Pi; Sean Qian (CoRR, 2019)

Measuring and reducing the disequilibrium levels of dynamic networks through ride-sourcing vehicle data. - Wei Ma; Sean Qian (CoRR, 2019)

High-Resolution Traffic Sensing with Autonomous Vehicles. - Wei Ma; Sean Qian (CoRR, 2019)

Emerging Mobility Systems [Guest Editorial]. - Xiaopeng Shaw Li; Xiaobo Qu 002; Joseph Y. J. Chow; Mónica Menéndez; Zhen Sean Qian (IEEE Intell. Transp. Syst. Mag., 2019)

Multi-Source Traffic Data Reconstruction Using Joint Low-Rank and Fundamental Diagram Constraints. - Yang Wang 068; Yong Zhang 029; Zhen Sean Qian; Shaofan Wang; Yongli Hu; Baocai Yin (IEEE Intell. Transp. Syst. Mag., 2019)

Understanding and Predicting Travel Time with Spatio-Temporal Features of Network Traffic Flow, Weather and Incidents. - Shuguan Yang; Sean Qian (IEEE Intell. Transp. Syst. Mag., 2019)

Detecting Pickpocketing Gangs on Buses with Smart Card Data. - Xia Zhao 003; Yong Zhang 029; Hao Liu 040; Shaofan Wang; Zhen Sean Qian; Yongli Hu; Baocai Yin (IEEE Intell. Transp. Syst. Mag., 2019)

Learning to Recommend Signal Plans under Incidents with Real-Time Traffic Prediction. - Weiran Yao; Sean Qian (CoRR, 2020)

From Twitter to Traffic Predictor: Next-Day Morning Traffic Prediction Using Social Media Data. - Weiran Yao; Sean Qian (CoRR, 2020)

Hierarchical Graph Convolution Network for Traffic Forecasting. - Kan Guo; Yongli Hu; Yanfeng Sun; Sean Qian; Junbin Gao; Baocai Yin (AAAI, 2021)

High-Resolution Traffic Sensing with Probe Autonomous Vehicles: A Data-Driven Approach. - Wei Ma; Sean Qian (Sensors, 2021)

Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction. - Kan Guo; Yongli Hu; Sean Qian; Hao Liu 040; Ke Zhang 016; Yanfeng Sun; Junbin Gao; Baocai Yin (IEEE Trans. Intell. Transp. Syst., 2021)

A Low Rank Dynamic Mode Decomposition Model for Short-Term Traffic Flow Prediction. - Yadong Yu; Yong Zhang 029; Sean Qian; Shaofan Wang; Yongli Hu; Baocai Yin (IEEE Trans. Intell. Transp. Syst., 2021)

Interactive Visual Exploration of Human Mobility Correlation Based on Smart Card Data. - Xia Zhao 003; Yong Zhang 029; Yongli Hu; Shun Wang 004; Yunhui Li; Sean Qian; Baocai Yin (IEEE Trans. Intell. Transp. Syst., 2021)

Estimating probabilistic dynamic origin-destination demands using multi-day traffic data on computational graphs. - Wei Ma; Sean Qian (CoRR, 2022)

Statistical inference of travelers' route choice preferences with system-level data. - Pablo Guarda; Sean Qian (CoRR, 2022)

Estimating and Mitigating the Congestion Effect of Curbside Pick-ups and Drop-offs: A Causal Inference Approach. - Xiaohui Liu; Sean Qian; Wei Ma (CoRR, 2022)

An Optimized Temporal-Spatial Gated Graph Convolution Network for Traffic Forecasting. - Kan Guo; Yongli Hu; Yanfeng Sun; Zhen Sean Qian; Junbin Gao; Baocai Yin (IEEE Intell. Transp. Syst. Mag., 2022)

Modeling Relation Proximity of Passengers Using Public Transit Smart Card Data. - Xia Zhao 003; Yong Zhang 029; Yongli Hu; Zhen Sean Qian; Hao Liu 040; Baocai Yin (IEEE Intell. Transp. Syst. Mag., 2022)

Dynamic Graph Convolution Network for Traffic Forecasting Based on Latent Network of Laplace Matrix Estimation. - Kan Guo; Yongli Hu; Zhen Sean Qian; Yanfeng Sun; Junbin Gao; Baocai Yin (IEEE Trans. Intell. Transp. Syst., 2022)

Ridesharing and Digital Resilience for Urban Anomalies: Evidence from the New York City Taxi Market. - Yingjie Zhang 003; Beibei Li 003; Sean Qian (Inf. Syst. Res., 2023)

The Impact of Optimized Fleets in Transportation Networks. - Matthew Battifarano; Sean Qian (Transp. Sci., 2023)

Nexus Cognizant Pricing of Workplace Electric Vehicle Charging. - Minghao Mou; Sean Qian; Junjie Qin (ACC, 2024)

Enhancing Multi-Class Mesoscopic Network Modeling with High-Resolution Satellite Imagery. - Jiachao Liu; Pablo Guarda; Koichiro Niinuma; Sean Qian (ITSC, 2024)

Traffic estimation in unobserved network locations using data-driven macroscopic models. - Pablo Guarda; Sean Qian (CoRR, 2024)

Real-time system optimal traffic routing under uncertainties - Can physics models boost reinforcement learning? - Zemian Ke; Qiling Zou; Jiachao Liu; Sean Qian (CoRR, 2024)

Interpretable mixture of experts for time series prediction under recurrent and non-recurrent conditions. - Zemian Ke; Haocheng Duan; Sean Qian (CoRR, 2024)

Know Unreported Roadway Incidents in Real-time: A Deep Learning Framework for Early Traffic Anomaly Detection. - Haocheng Duan; Hao Wu; Sean Qian (CoRR, 2024)

Modeling Multimodal Curbside Usage in Dynamic Networks. - Jiachao Liu; Sean Qian (Transp. Sci., 2024)

Estimating and Mitigating the Congestion Effect of Curbside Pick-ups and Drop-Offs: A Causal Inference Approach. - Xiaohui Liu; Sean Qian; Hock-Hai Teo; Wei Ma (Transp. Sci., 2024)

Special Issue on Machine Learning Methods for Urban Passenger Mobility. - Xuan Di; Sean Qian; Carolina Osorio (Transp. Sci., 2025)

Scalable Dynamic Origin-Destination Demand Estimation Enhanced by High-Resolution Satellite Imagery Data. - Jiachao Liu; Pablo Guarda; Koichiro Niinuma; Sean Qian (CoRR, 2025)