Haoning Xi

According to our database, Haoning Xi authored at least 10 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Toward an Integrated Cross-Urban Accident Prevention System: A Multi-Task Spatial-Temporal Learning Framework for Urban Safety Management.

Jiayu Fang, Zhiqi Shao, Haoning Xi, S. T. Boris Choy, Junbin Gao

CoRR, January, 2026

Unleashing Mamba's expressive power: A non-tradeoff approach to spatio-temporal forecasting.

Zhiqi Shao, Ze Wang, Haoning Xi, Michael G. H. Bell, Xusheng Yao, D. Glenn Geers, Junbin Gao

Inf. Fusion, 2026

2024

Optimizing multiple equipment scheduling for U-shaped automated container terminals considering loading and unloading operations.

Xiang Zhang, Ziyan Hong, Haoning Xi, Jingwen Li

Comput. Aided Civ. Infrastructure Eng., October, 2024

Single-leader multi-follower games for the regulation of two-sided mobility-as-a-service markets.

Haoning Xi, Didier Aussel, Wei Liu, S. Travis Waller, David Rey

Eur. J. Oper. Res., 2024

STLLM-DF: A Spatial-Temporal Large Language Model with Diffusion for Enhanced Multi-Mode Traffic System Forecasting.

Zhiqi Shao, Haoning Xi, Haohui Lu, Ze Wang, Michael G. H. Bell, Junbin Gao

CoRR, 2024

ST-SSMs: Spatial-Temporal Selective State of Space Model for Traffic Forecasting.

Zhiqi Shao, Michael G. H. Bell, Ze Wang, D. Glenn Geers, Haoning Xi, Junbin Gao

CoRR, 2024

2023

Modeling, equilibrium, and demand management for mobility and delivery services in Mobility-as-a-Service ecosystems.

Haoning Xi, Yili Tang, S. Travis Waller, Amer Shalaby

Comput. Aided Civ. Infrastructure Eng., July, 2023

2022

Community Energy Cooperation with Shared Energy Storage for Economic-Environment Benefits.

Yinyan Liu, Yunqi Wang, Haoning Xi, Jun Lin, Jin Ma

Proceedings of the IEEE PES Innovative Smart Grid Technologies - Asia, 2022

2020

Incentive-compatible mechanisms for continuous resource allocation in mobility-as-a-service: Pay-as-You-Go and Pay-as-a-Package.

Haoning Xi, Wei Liu, David Rey, S. Travis Waller, Philip Kilby

CoRR, 2020

2019

Utilizing Unlabeled Data to Detect Electricity Fraud in AMI: A Semisupervised Deep Learning Approach.

Tianyu Hu, Qinglai Guo, Xinwei Shen, Hongbin Sun, Rongli Wu, Haoning Xi

IEEE Trans. Neural Networks Learn. Syst., 2019