Manxi Wu

Orcid: 0000-0002-0754-6052

According to our database1, Manxi Wu authored at least 33 papers between 2015 and 2024.

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Bibliography

2024
Congestion Pricing for Efficiency and Equity: Theory and Applications to the San Francisco Bay Area.
CoRR, 2024

2023
Pursuit of a discriminative representation for multiple subspaces via sequential games.
J. Frankl. Inst., 2023

Network Flow Problems with Electric Vehicles.
CoRR, 2023

Sharing the Cost of IoT Wireless Coverage with a Strengthened Linear Programming Formulation.
CoRR, 2023

Information Design for Spatial Resource Allocation.
CoRR, 2023

Market Design for Dynamic Pricing and Pooling in Capacitated Networks.
CoRR, 2023

Markov α-Potential Games: Equilibrium Approximation and Regret Analysis.
CoRR, 2023

Capacity Allocation and Pricing of High Occupancy Toll Lane Systems with Heterogeneous Travelers.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Online Learning for Traffic Navigation in Congested Networks.
Proceedings of the International Conference on Algorithmic Learning Theory, 2023

2022
Fusing of Electroencephalogram and Eye Movement With Group Sparse Canonical Correlation Analysis for Anxiety Detection.
IEEE Trans. Affect. Comput., 2022

Convergence and Stability of Coupled Belief-Strategy Learning Dynamics in Continuous Games.
CoRR, 2022

Independent and Decentralized Learning in Markov Potential Games.
CoRR, 2022

Interpretable Machine Learning Models for Modal Split Prediction in Transportation Systems.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Inducing Social Optimality in Games via Adaptive Incentive Design.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Dynamic Tolling for Inducing Socially Optimal Traffic Loads.
Proceedings of the American Control Conference, 2022

2021
An Optimal Channel Selection for EEG-Based Depression Detection via Kernel-Target Alignment.
IEEE J. Biomed. Health Informatics, 2021

Fatigue Detection With Covariance Manifolds of Electroencephalography in Transportation Industry.
IEEE Trans. Ind. Informatics, 2021

Value of Information in Bayesian Routing Games.
Oper. Res., 2021

Multi-agent Bayesian Learning with Best Response Dynamics: Convergence and Stability.
CoRR, 2021

Efficient Carpooling and Toll Pricing for Autonomous Transportation.
CoRR, 2021

EEG-Based Depression Detection with a Synthesis-Based Data Augmentation Strategy.
Proceedings of the Bioinformatics Research and Applications - 17th International Symposium, 2021

Optimal Testing Strategy for Containing COVID-19: A Case-Study on Indian Migrant Worker Population.
Proceedings of the 2021 American Control Conference, 2021

2020
Multi-agent Bayesian Learning with Adaptive Strategies: Convergence and Stability.
CoRR, 2020

Bayesian Learning with Adaptive Load Allocation Strategies.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Spatial-temporal Joint optimization Network on Covariance Manifolds of Electroencephalography for Fatigue Detection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Securing Infrastructure Facilities: When Does Proactive Defense Help?
Dyn. Games Appl., 2019

Learning an Unknown Network State in Routing Games.
CoRR, 2019

Information Design for Regulating Traffic Flows under Uncertain Network State.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018
Value of Information Systems in Routing Games.
CoRR, 2018

Security of Transportation Networks: Modeling Attacker-Defender Interaction.
CoRR, 2018

Signaling Game-based Misbehavior Inspection in V2I-enabled Highway Operations.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Informational aspects in a class of Bayesian congestion games.
Proceedings of the 2017 American Control Conference, 2017

2015
Stochastic customer order scheduling to maximize throughput.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2015


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