An interpretable produce price forecasting system for small and marginal farmers in India using collaborative filtering and adaptive nearest neighbors. - Wei Ma 016; Kendall Nowocin; Niraj Marathe; George H. Chen (ICTD, 2019)

A deep learning approach to real-time parking occupancy prediction in spatio-termporal networks incorporating multiple spatio-temporal data sources. - Shuguan Yang; Wei Ma 016; Xidong Pi; Sean Qian (CoRR, 2019)

Estimating multi-class dynamic origin-destination demand through a forward-backward algorithm on computational graphs. - Wei Ma 016; Xidong Pi; Sean Qian (CoRR, 2019)

Measuring and reducing the disequilibrium levels of dynamic networks through ride-sourcing vehicle data. - Wei Ma 016; Sean Qian (CoRR, 2019)

High-Resolution Traffic Sensing with Autonomous Vehicles. - Wei Ma 016; Sean Qian (CoRR, 2019)

A bi-objective reliable path-finding algorithm for battery electric vehicle routing. - Xiao-Wei Chen; Bi Yu Chen; William H. K. Lam; Mei Lam Tam; Wei Ma 016 (Expert Syst. Appl., 2021)

High-Resolution Traffic Sensing with Probe Autonomous Vehicles: A Data-Driven Approach. - Wei Ma 016; Sean Qian (Sensors, 2021)

Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities. - Yihong Tang; Ao Qu; Andy H. F. Chow; William H. K. Lam; Sze Chun Wong; Wei Ma 016 (CIKM, 2022)

Towards a Very Large Scale Traffic Simulator for Multi-Agent Reinforcement Learning Testbeds. - Zijian Hu; Chengxiang Zhuge; Wei Ma 016 (ITSC, 2022)

Estimating probabilistic dynamic origin-destination demands using multi-day traffic data on computational graphs. - Wei Ma 016; 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 016 (CoRR, 2022)

Vehicle Re-identification for Lane-level Travel Time Estimations on Congested Urban Road Networks Using Video Images. - Cheng Zhang 036; Bi Yu Chen; William H. K. Lam; H. W. Ho; Xiaomeng Shi; Xiaoguang Yang; Wei Ma 016; Sze Chun Wong; Andy H. F. Chow (IEEE Trans. Intell. Transp. Syst., 2022)

Network-Wide Link Travel Time and Station Waiting Time Estimation Using Automatic Fare Collection Data: A Computational Graph Approach. - Jinlei Zhang; Feng Chen 029; Lixing Yang; Wei Ma 016; Guangyin Jin; Ziyou Gao (IEEE Trans. Intell. Transp. Syst., 2022)

DisasterNet: Causal Bayesian Networks with Normalizing Flows for Cascading Hazards Estimation from Satellite Imagery. - Xuechun Li; Paula M. Bürgi; Wei Ma 016; Hae Young Noh; David Jay Wald; Susu Xu (KDD, 2023)

Few-Sample Traffic Prediction With Graph Networks Using Locale as Relational Inductive Biases. - Mingxi Li; Yihong Tang; Wei Ma 016 (IEEE Trans. Intell. Transp. Syst., 2023)

Lane-based estimation of travel time distributions by vehicle type via vehicle re-identification using low-resolution video images. - Cheng Zhang 036; H. W. Ho; William H. K. Lam; Wei Ma 016; Sze Chun Wong; Andy H. F. Chow (J. Intell. Transp. Syst., 2023)

Adversarial Attacks on Deep Reinforcement Learning-based Traffic Signal Control Systems with Colluding Vehicles. - Ao Qu; Yihong Tang; Wei Ma 016 (ACM Trans. Intell. Syst. Technol., 2023)

Channel-Aware Low-Rank Adaptation in Time Series Forecasting. - Tong Nie 001; Yuewen Mei; Guoyang Qin; Jian Sun 010; Wei Ma 016 (CIKM, 2024)

ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation. - Tong Nie 001; Guoyang Qin; Wei Ma 016; Yuewen Mei; Jian Sun 010 (KDD, 2024)

Spatiotemporal Implicit Neural Representation as a Generalized Traffic Data Learner. - Tong Nie 001; Guoyang Qin; Wei Ma 016; Jian Sun 010 (CoRR, 2024)

Generalizable Implicit Neural Representation As a Universal Spatiotemporal Traffic Data Learner. - Tong Nie 001; Guoyang Qin; Wei Ma 016; Jian Sun 010 (CoRR, 2024)

Joint Estimation and Prediction of City-wide Delivery Demand: A Large Language Model Empowered Graph-based Learning Approach. - Tong Nie 001; Junlin He; Yuewen Mei; Guoyang Qin; Guilong Li; Jian Sun 010; Wei Ma 016 (CoRR, 2024)

A time-series based deep survival analysis model for failure prediction in urban infrastructure systems. - Binyu Yang; Xuanwen Liang; Susu Xu; Man Sing Wong; Wei Ma 016 (Eng. Appl. Artif. Intell., 2024)

Destination-Aware Coordinated Ramp Metering for Preventing Off-Ramp Queue Spillover and Mainstream Congestion. - Cheng Zhang 036; Wei Ma 016; Jing Zhao 014; Chengyuan Ma; Yuelong Su; Xiaoguang Yang (IEEE Intell. Transp. Syst. Mag., 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 016 (Transp. Sci., 2024)

Adversarial Diffusion Attacks on Graph-Based Traffic Prediction Models. - Lyuyi Zhu; Kairui Feng; Ziyuan Pu; Wei Ma 016 (IEEE Internet Things J., 2024)

Filtering Limited Automatic Vehicle Identification Data for Real-Time Path Travel Time Estimation Without Ground Truth. - Ang Li 031; William H. K. Lam; Wei Ma 016; Andy H. F. Chow; Sze Chun Wong; Mei Lam Tam (IEEE Trans. Intell. Transp. Syst., 2024)

Beyond Prediction: On-Street Parking Recommendation Using Heterogeneous Graph-Based List-Wise Ranking. - Hanyu Sun; Xiao Huang 001; Wei Ma 016 (IEEE Trans. Intell. Transp. Syst., 2024)

Collaborative Parking Vacancy Prediction for Cities With Partial Sensors Missing. - Beiyu Song; Huachi Zhou; Xiao Huang 001; Wei Ma 016 (IEEE Trans. Intell. Transp. Syst., 2024)

Estimation of Vehicular Journey Time Variability by Bayesian Data Fusion With General Mixture Model. - Xinyue Wu; Andy H. F. Chow; Li Zhuang; Wei Ma 016; William H. K. Lam; Sze Chun Wong (IEEE Trans. Intell. Transp. Syst., 2024)

Geolocation Representation from Large Language Models Are Generic Enhancers for Spatio-Temporal Learning. - Junlin He; Tong Nie 001; Wei Ma 016 (AAAI, 2025)

Estimating Erratic Measurement Errors in Network-Wide Traffic Flow via Virtual Balance Sensors. - Zhenjie Zheng; Zhengli Wang; Hao Fu; Wei Ma 016 (Transp. Sci., 2025)

Enhancing Crash Frequency Modeling Based on Augmented Multi-Type Data by Hybrid VAE-Diffusion-Based Generative Neural Networks. - Junlan Chen; Qijie He; Pei Liu; Wei Ma 016; Ziyuan Pu (CoRR, 2025)

Collaborative Imputation of Urban Time Series through Cross-city Meta-learning. - Tong Nie 001; Wei Ma 016; Jian Sun 010; Yu Yang 012; Jiannong Cao 001 (CoRR, 2025)

Contextualizing MLP-Mixers Spatiotemporally for Urban Traffic Data Forecast at Scale. - Tong Nie 001; Guoyang Qin; Lijun Sun 001; Wei Ma 016; Yu Mei; Jian Sun 010 (IEEE Trans. Intell. Transp. Syst., 2025)

Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and Roadmap. - Tong Nie 001; Jian Sun 010; Wei Ma 016 (CoRR, 2025)

Reliability-based journey time prediction via two-stream deep learning with multi-source data. - Li Zhuang; Xinyue Wu; Andy H. F. Chow; Wei Ma 016; William H. K. Lam; S. C. Wong (J. Intell. Transp. Syst., 2025)

Steerable Adversarial Scenario Generation through Test-Time Preference Alignment. - Tong Nie 001; Yuewen Mei; Yihong Tang; Junlin He; Jie Sun; Haotian Shi; Wei Ma 016; Jian Sun 010 (CoRR, 2025)

Predicting Large-Scale Urban Network Dynamics With Energy-Informed Graph Neural Diffusion. - Tong Nie 001; Jian Sun 010; Wei Ma 016 (IEEE Trans. Ind. Informatics, 2025)

A Physics-Regularized Multiscale Attention Network for Spatiotemporal Traffic Data Imputation. - Zhenjie Zheng; Yulin He; Zhengli Wang; Wei Ma 016 (IEEE Trans. Intell. Transp. Syst., 2025)