Zhenliang Ma

According to our database, Zhenliang Ma authored at least 18 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

SA-BiGCN: Bi-Stream Graph Convolution Networks With Spatial Attentions for the Eye Contact Detection in the Wild.

Yancheng Ling, Zhenliang Ma, Bangquan Xie, Qi Zhang, Xiaoxiong Weng

IEEE Trans. Intell. Transp. Syst., February, 2024

2023

An integrated ride-matching and vehicle-rebalancing model for shared mobility on-demand services.

Kerem Tuncel, Haris N. Koutsopoulos, Zhenliang Ma

Comput. Oper. Res., November, 2023

User-station attention inference using smart card data: a knowledge graph assisted matrix decomposition model.

Qi Zhang, Zhenliang Ma, Pengfei Zhang, Erik Jenelius, Xiaolei Ma, Yuanqiao Wen

Appl. Intell., October, 2023

DeepTrip: A Deep Learning Model for the Individual Next Trip Prediction With Arbitrary Prediction Times.

Pengfei Zhang, Haris N. Koutsopoulos, Zhenliang Ma

IEEE Trans. Intell. Transp. Syst., June, 2023

Ex Post Path Choice Estimation for Urban Rail Systems Using Smart Card Data: An Aggregated Time-Space Hypernetwork Approach.

Baichuan Mo, Zhenliang Ma, Haris N. Koutsopoulos, Jinhua Zhao

Transp. Sci., March, 2023

An Unsupervised Learning Approach for Robust Denied Boarding Probability Estimation Using Smart Card and Operation Data in Urban Railways.

Kerem Sinan Tuncel, Haris N. Koutsopoulos, Zhenliang Ma

IEEE Intell. Transp. Syst. Mag., 2023

RouteKG: A knowledge graph-based framework for route prediction on road networks.

Yihong Tang, Weipeng Deng, Shuyu Lei, Yuebing Liang, Zhenliang Ma, Zhan Zhao

CoRR, 2023

STMA-GCN_PedCross: Skeleton Based Spatial-Temporal Graph Convolution Networks with Multiple Attentions for Fast Pedestrian Crossing Intention Prediction.

Yancheng Ling, Qi Zhang, Xiaoxiong Weng, Zhenliang Ma

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Deep Reinforcement Learning Based Traffic Signal Control: A Comparative Analysis.

Chunliang Wu, Inhi Kim, Zhenliang Ma

Proceedings of the 14th International Conference on Ambient Systems, 2023

2022

Deep learning for short-term origin-destination passenger flow prediction under partial observability in urban railway systems.

Wenhua Jiang, Zhenliang Ma, Haris N. Koutsopoulos

Neural Comput. Appl., 2022

An Integrated Ride-Matching Model for Shared Mobility on Demand Services.

Kerem Tuncel, Haris N. Koutsopoulos, Zhenliang Ma

CoRR, 2022

Dynamic Interlining in Bus Operations.

Seyedmostafa Zahedi, Haris N. Koutsopoulos, Zhenliang Ma

CoRR, 2022

Real-time Train Arrival Time Prediction at Multiple Stations and Arbitrary Times.

Kahyong Tiong, Zhenliang Ma, Carl-William Palmqvist

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2020

Near-on-Demand Mobility. The Benefits of User Flexibility for Ride-Pooling Services.

Zhenliang Ma, Haris N. Koutsopoulos

CoRR, 2020

Assignment-based Path Choice Estimation for Metro Systems Using Smart Card Data.

Baichuan Mo, Zhenliang Ma, Haris N. Koutsopoulos, Jinhua Zhao

CoRR, 2020

Short-Term Passenger Flow Prediction With Decomposition in Urban Railway Systems.

Yangyang Zhao, Zhenliang Ma, Yi Yang, Wenhua Jiang, Xinguo Jiang

IEEE Access, 2020

Multi-Agent Reinforcement Learning for Traffic Signal Control: Algorithms and Robustness Analysis.

Chunliang Wu, Zhenliang Ma, Inhi Kim

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Revealing Mobility Regularities in Urban Rail Systems.

Wenhua Jiang, Zhenliang Ma, Inhi Kim, Seonha Lee

Proceedings of the 11th International Conference on Ambient Systems, 2020