Search Results - "Wu, Manxi"

An Optimal Channel Selection for EEG-Based Depression Detection via Kernel-Target Alignment by Shen, Jian, Zhang, Xiaowei, Huang, Xiao, Wu, Manxi, Gao, Jin, Lu, Dawei, Ding, Zhijie, Hu, Bin

“…Depression is a mental disorder with emotional and cognitive dysfunction. The main clinical characteristic of depression is significant and persistent low…”
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Informational aspects in a class of Bayesian congestion games by Manxi Wu, Liu, Jeffrey, Amin, Saurabh

“…We study a Bayesian congestion game which models routing in environments where the route costs are affected by a random network state. Each player is…”
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Rational design and synthesis of a 3D hierarchical NiCo-LDH/C/GF composite foam as advanced electrodes for asymmetric supercapacitors by Ma, Dongliang, Zhu, Qinglin, Chen, Jiaao, Wu, Manxi

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Securing Infrastructure Facilities: When Does Proactive Defense Help? by Wu, Manxi, Amin, Saurabh

“…Infrastructure systems are increasingly facing new security threats due to the vulnerabilities of cyber-physical components that support their operation. In…”
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Fatigue Detection With Covariance Manifolds of Electroencephalography in Transportation Industry by Zhang, Xiaowei, Lu, Dawei, Pan, Jing, Shen, Jian, Wu, Manxi, Hu, Xiping, Hu, Bin

“…Driver fatigue has become a leading cause of accidents and death in the transportation industry. Electroencephalography (EEG)-based fatigue detection can be a…”
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Fusing of Electroencephalogram and Eye Movement With Group Sparse Canonical Correlation Analysis for Anxiety Detection by Zhang, Xiaowei, Pan, Jing, Shen, Jian, ud Din, Zia, Li, Junlei, Lu, Dawei, Wu, Manxi, Hu, Bin

“…Electroencephalogram (EEG) has been widely used for the detection of anxiety because of its ability to reflect the functional activities of the brain. However,…”
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Pursuit of a discriminative representation for multiple subspaces via sequential games by Pai, Druv, Psenka, Michael, Chiu, Chih-Yuan, Wu, Manxi, Dobriban, Edgar, Ma, Yi

“…We consider the problem of learning discriminative representations for data in a high-dimensional space with distribution supported on or around multiple…”
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Stochastic customer order scheduling to maximize throughput by Xiaoyun Xu, Yaping Zhao, Haidong Li, Manxi Wu

“…This study considers a stochastic customer order scheduling problem to maximize throughput. Customer orders arrive at the server station dynamically. Each…”
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Stochastic customer order scheduling to minimize long-run expected order cycle time by Xu, Xiaoyun, Zhao, Yaping, Wu, Manxi, Zhou, Zihuan, Ma, Ying, Liu, Yanni

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Information Design for Regulating Traffic Flows under Uncertain Network State by Wu, Manxi, Amin, Saurabh

“…Traffic navigation services have gained widespread adoption in recent years. The route recommendations generated by these services often leads to severe…”
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Information Design for Spatial Resource Allocation by Candogan, Ozan, Wu, Manxi

“…In this paper, we study platforms where resources and jobs are spatially distributed, and resources have the flexibility to strategically move to different…”
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Convergence of Decentralized Actor-Critic Algorithm in General-sum Markov Games by Maheshwari, Chinmay, Wu, Manxi, Sastry, Shankar

“…Markov games provide a powerful framework for modeling strategic multi-agent interactions in dynamic environments. Traditionally, convergence properties of…”
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Designing High-Occupancy Toll Lanes: A Game-Theoretic Analysis by Zhang, Zhanhao, Yang, Ruifan, Wu, Manxi

“…In this article, we study the optimal design of High Occupancy Toll (HOT) lanes. The traffic authority determines the road capacity allocation between HOT…”
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Interpretable Machine Learning Models for Modal Split Prediction in Transportation Systems by Brenner, Aron, Wu, Manxi, Amin, Saurabh

“…Modal split prediction in transportation networks has the potential to support network operators in managing traffic congestion and improving transit service…”
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Information Design for Regulating Traffic Flows under Uncertain Network State by Wu, Manxi, Amin, Saurabh

“…Traffic navigation services have gained widespread adoption in recent years. The route recommendations generated by these services often leads to severe…”
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Adaptive Incentive Design with Learning Agents by Maheshwari, Chinmay, Kulkarni, Kshitij, Wu, Manxi, Sastry, Shankar

“…How can the system operator learn an incentive mechanism that achieves social optimality based on limited information about the agents' behavior, who are…”
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Interpretable Machine Learning Models for Modal Split Prediction in Transportation Systems by Brenner, Aron, Wu, Manxi, Amin, Saurabh

“…Modal split prediction in transportation networks has the potential to support network operators in managing traffic congestion and improving transit service…”
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Learning an Unknown Network State in Routing Games by Wu, Manxi, Amin, Saurabh

“…We study learning dynamics induced by myopic travelers who repeatedly play a routing game on a transportation network with an unknown state. The state impacts…”
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Convergence and Stability of Coupled Belief--Strategy Learning Dynamics in Continuous Games by Wu, Manxi, Amin, Saurabh, Ozdaglar, Asuman

“…We propose a learning dynamics to model how strategic agents repeatedly play a continuous game while relying on an information platform to learn an unknown…”
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Inducing Social Optimality in Games via Adaptive Incentive Design by Maheshwari, Chinmay, Kulkarni, Kshitij, Wu, Manxi, Sastry, S. Shankar

“…How can a social planner adaptively incentivize selfish agents who are learning in a strategic environment to induce a socially optimal outcome in the long…”
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