Wei Ma - RankMe

52 papers A* 3A 2C 1Journal 45Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ADV-0: Closed-Loop Min-Max Adversarial Training for Long-Tail Robustness in Autonomous Driving. CoRR Tong Nie, Yihong Tang, Junlin He, Yuewen Mei, Jie Sun, Lijun Sun, Wei Ma, Jian Sun
2026	J	`jnl`	Collaborative Imputation of Urban Time Series Through Cross-City Meta-Learning. IEEE Trans. Knowl. Data Eng. Tong Nie, Wei Ma, Jian Sun, Yu Yang, Jiannong Cao
2025	J	`jnl`	A Physics-Regularized Multiscale Attention Network for Spatiotemporal Traffic Data Imputation. IEEE Trans. Intell. Transp. Syst. Zhenjie Zheng, Yulin He, Zhengli Wang, Wei Ma
2025	J	`jnl`	Collaborative Imputation of Urban Time Series through Cross-city Meta-learning. CoRR Tong Nie, Wei Ma, Jian Sun, Yu Yang, Jiannong Cao
2025	J	`jnl`	Contextualizing MLP-Mixers Spatiotemporally for Urban Traffic Data Forecast at Scale. IEEE Trans. Intell. Transp. Syst. Tong Nie, Guoyang Qin, Lijun Sun, Wei Ma, Yu Mei, Jian Sun
2025	J	`jnl`	E3AD: An Emotion-Aware Vision-Language-Action Model for Human-Centric End-to-End Autonomous Driving. CoRR Yihong Tang, Haicheng Liao, Tong Nie, Junlin He, Ao Qu, Kehua Chen, Wei Ma, Zhenning Li, Lijun Sun, Chengzhong Xu
2025	J	`jnl`	Enhancing Crash Frequency Modeling Based on Augmented Multi-Type Data by Hybrid VAE-Diffusion-Based Generative Neural Networks. CoRR Junlan Chen, Qijie He, Pei Liu, Wei Ma, Ziyuan Pu
2025	J	`jnl`	Estimating Erratic Measurement Errors in Network-Wide Traffic Flow via Virtual Balance Sensors. Transp. Sci. Zhenjie Zheng, Zhengli Wang, Hao Fu, Wei Ma
2025	J	`jnl`	Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and Roadmap. CoRR Tong Nie, Jian Sun, Wei Ma
2025	A*	`conf`	Geolocation Representation from Large Language Models Are Generic Enhancers for Spatio-Temporal Learning. AAAI Junlin He, Tong Nie, Wei Ma
2025	J	`jnl`	Predicting Large-Scale Urban Network Dynamics With Energy-Informed Graph Neural Diffusion. IEEE Trans. Ind. Informatics Tong Nie, Jian Sun, Wei Ma
2025	J	`jnl`	Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion. CoRR Tong Nie, Jian Sun, Wei Ma
2025	J	`jnl`	Reliability-based journey time prediction via two-stream deep learning with multi-source data. J. Intell. Transp. Syst. Li Zhuang, Xinyue Wu, Andy H. F. Chow, Wei Ma, William H. K. Lam, S. C. Wong
2025	J	`jnl`	Steerable Adversarial Scenario Generation through Test-Time Preference Alignment. CoRR Tong Nie, Yuewen Mei, Yihong Tang, Junlin He, Jie Sun, Haotian Shi, Wei Ma, Jian Sun
2024	J	`jnl`	A time-series based deep survival analysis model for failure prediction in urban infrastructure systems. Eng. Appl. Artif. Intell. Binyu Yang, Xuanwen Liang, Susu Xu, Man Sing Wong, Wei Ma
2024	J	`jnl`	Adversarial Diffusion Attacks on Graph-Based Traffic Prediction Models. IEEE Internet Things J. Lyuyi Zhu, Kairui Feng, Ziyuan Pu, Wei Ma
2024	J	`jnl`	Beyond Prediction: On-Street Parking Recommendation Using Heterogeneous Graph-Based List-Wise Ranking. IEEE Trans. Intell. Transp. Syst. Hanyu Sun, Xiao Huang, Wei Ma
2024	A	`conf`	Channel-Aware Low-Rank Adaptation in Time Series Forecasting. CIKM Tong Nie, Yuewen Mei, Guoyang Qin, Jian Sun, Wei Ma
2024	J	`jnl`	Channel-Aware Low-Rank Adaptation in Time Series Forecasting. CoRR Tong Nie, Yuewen Mei, Guoyang Qin, Jian Sun, Wei Ma
2024	J	`jnl`	Collaborative Parking Vacancy Prediction for Cities With Partial Sensors Missing. IEEE Trans. Intell. Transp. Syst. Beiyu Song, Huachi Zhou, Xiao Huang, Wei Ma
2024	J	`jnl`	Destination-Aware Coordinated Ramp Metering for Preventing Off-Ramp Queue Spillover and Mainstream Congestion. IEEE Intell. Transp. Syst. Mag. Cheng Zhang, Wei Ma, Jing Zhao, Chengyuan Ma, Yuelong Su, Xiaoguang Yang
2024	J	`jnl`	Estimating and Mitigating the Congestion Effect of Curbside Pick-ups and Drop-Offs: A Causal Inference Approach. Transp. Sci. Xiaohui Liu, Sean Qian, Hock-Hai Teo, Wei Ma
2024	J	`jnl`	Estimation of Vehicular Journey Time Variability by Bayesian Data Fusion With General Mixture Model. IEEE Trans. Intell. Transp. Syst. Xinyue Wu, Andy H. F. Chow, Li Zhuang, Wei Ma, William H. K. Lam, Sze Chun Wong
2024	J	`jnl`	Filtering Limited Automatic Vehicle Identification Data for Real-Time Path Travel Time Estimation Without Ground Truth. IEEE Trans. Intell. Transp. Syst. Ang Li, William H. K. Lam, Wei Ma, Andy H. F. Chow, Sze Chun Wong, Mei Lam Tam
2024	J	`jnl`	Generalizable Implicit Neural Representation As a Universal Spatiotemporal Traffic Data Learner. CoRR Tong Nie, Guoyang Qin, Wei Ma, Jian Sun
2024	J	`jnl`	Geolocation Representation from Large Language Models are Generic Enhancers for Spatio-Temporal Learning. CoRR Junlin He, Tong Nie, Wei Ma
2024	A*	`conf`	ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation. KDD Tong Nie, Guoyang Qin, Wei Ma, Yuewen Mei, Jian Sun
2024	J	`jnl`	Joint Estimation and Prediction of City-wide Delivery Demand: A Large Language Model Empowered Graph-based Learning Approach. CoRR Tong Nie, Junlin He, Yuewen Mei, Guoyang Qin, Guilong Li, Jian Sun, Wei Ma
2024	J	`jnl`	Spatiotemporal Implicit Neural Representation as a Generalized Traffic Data Learner. CoRR Tong Nie, Guoyang Qin, Wei Ma, Jian Sun
2023	J	`jnl`	Adversarial Attacks on Deep Reinforcement Learning-based Traffic Signal Control Systems with Colluding Vehicles. ACM Trans. Intell. Syst. Technol. Ao Qu, Yihong Tang, Wei Ma
2023	J	`jnl`	Beyond Prediction: On-street Parking Recommendation using Heterogeneous Graph-based List-wise Ranking. CoRR Hanyu Sun, Xiao Huang, Wei Ma
2023	A*	`conf`	DisasterNet: Causal Bayesian Networks with Normalizing Flows for Cascading Hazards Estimation from Satellite Imagery. KDD Xuechun Li, Paula M. Bürgi, Wei Ma, Hae Young Noh, David Jay Wald, Susu Xu
2023	J	`jnl`	Few-Sample Traffic Prediction With Graph Networks Using Locale as Relational Inductive Biases. IEEE Trans. Intell. Transp. Syst. Mingxi Li, Yihong Tang, Wei Ma
2023	J	`jnl`	ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation. CoRR Tong Nie, Guoyang Qin, Wei Ma, Yuewen Mei, Jian Sun
2023	J	`jnl`	Lane-based estimation of travel time distributions by vehicle type via vehicle re-identification using low-resolution video images. J. Intell. Transp. Syst. Cheng Zhang, H. W. Ho, William H. K. Lam, Wei Ma, Sze Chun Wong, Andy H. F. Chow
2023	J	`jnl`	Turning traffic surveillance cameras into intelligent sensors for traffic density estimation. Complex Intell. Syst. Zijian Hu, William H. K. Lam, Sze Chun Wong, Andy H. F. Chow, Wei Ma
2022	A	`conf`	Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities. CIKM Yihong Tang, Ao Qu, Andy H. F. Chow, William H. K. Lam, Sze Chun Wong, Wei Ma
2022	J	`jnl`	Estimating and Mitigating the Congestion Effect of Curbside Pick-ups and Drop-offs: A Causal Inference Approach. CoRR Xiaohui Liu, Sean Qian, Wei Ma
2022	J	`jnl`	Estimating probabilistic dynamic origin-destination demands using multi-day traffic data on computational graphs. CoRR Wei Ma, Sean Qian
2022	J	`jnl`	Network-Wide Link Travel Time and Station Waiting Time Estimation Using Automatic Fare Collection Data: A Computational Graph Approach. IEEE Trans. Intell. Transp. Syst. Jinlei Zhang, Feng Chen, Lixing Yang, Wei Ma, Guangyin Jin, Ziyou Gao
2022	—	`conf`	Towards a Very Large Scale Traffic Simulator for Multi-Agent Reinforcement Learning Testbeds. ITSC Zijian Hu, Chengxiang Zhuge, Wei Ma
2022	J	`jnl`	Vehicle Re-identification for Lane-level Travel Time Estimations on Congested Urban Road Networks Using Video Images. IEEE Trans. Intell. Transp. Syst. Cheng Zhang, Bi Yu Chen, William H. K. Lam, H. W. Ho, Xiaomeng Shi, Xiaoguang Yang, Wei Ma, Sze Chun Wong, Andy H. F. Chow
2021	J	`jnl`	A bi-objective reliable path-finding algorithm for battery electric vehicle routing. Expert Syst. Appl. Xiao-wei Chen, Bi Yu Chen, William H. K. Lam, Mei Lam Tam, Wei Ma
2021	J	`jnl`	Adversarial Diffusion Attacks on Graph-based Traffic Prediction Models. CoRR Lyuyi Zhu, Kairui Feng, Ziyuan Pu, Wei Ma
2021	J	`jnl`	High-Resolution Traffic Sensing with Probe Autonomous Vehicles: A Data-Driven Approach. Sensors Wei Ma, Sean Qian
2021	J	`jnl`	Network-wide link travel time and station waiting time estimation using automatic fare collection data: A computational graph approach. CoRR Jinlei Zhang, Feng Chen, Lixing Yang, Wei Ma, Guangyin Jin, Ziyou Gao
2021	J	`jnl`	Towards a Very Large Scale Traffic Simulator for Multi-Agent Reinforcement Learning Testbeds. CoRR Zijian Hu, Chengxiang Zhuge, Wei Ma
2019	J	`jnl`	A deep learning approach to real-time parking occupancy prediction in spatio-termporal networks incorporating multiple spatio-temporal data sources. CoRR Shuguan Yang, Wei Ma, Xidong Pi, Sean Qian
2019	C	`conf`	An interpretable produce price forecasting system for small and marginal farmers in India using collaborative filtering and adaptive nearest neighbors. ICTD Wei Ma, Kendall Nowocin, Niraj Marathe, George H. Chen
2019	J	`jnl`	Estimating multi-class dynamic origin-destination demand through a forward-backward algorithm on computational graphs. CoRR Wei Ma, Xidong Pi, Sean Qian
2019	J	`jnl`	High-Resolution Traffic Sensing with Autonomous Vehicles. CoRR Wei Ma, Sean Qian
2019	J	`jnl`	Measuring and reducing the disequilibrium levels of dynamic networks through ride-sourcing vehicle data. CoRR Wei Ma, Sean Qian