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2020 – today
- 2024
[c14]Haripriya Pulyassary
, Kostas Kollias, Aaron Schild, David B. Shmoys, Manxi Wu:
Network Flow Problems with Electric Vehicles. IPCO 2024: 365-378- [i24]Chinmay Maheshwari, Kshitij Kulkarni, Druv Pai, Jiarui Yang, Manxi Wu, Shankar Sastry:
Congestion Pricing for Efficiency and Equity: Theory and Applications to the San Francisco Bay Area. CoRR abs/2401.16844 (2024) - [i23]Chinmay Maheshwari, Kshitij Kulkarni, Manxi Wu, S. Shankar Sastry:
Adaptive Incentive Design with Learning Agents. CoRR abs/2405.16716 (2024) - [i22]Zhanhao Zhang, Ruifan Yang, Manxi Wu:
A Game Theoretic Analysis of High Occupancy Toll Lane Design. CoRR abs/2408.01413 (2024) - [i21]Chinmay Maheshwari, Manxi Wu, Shankar Sastry:
Decentralized Learning in General-sum Markov Games. CoRR abs/2409.04613 (2024) - 2023
- [j6]Druv Pai, Michael Psenka, Chih-Yuan Chiu, Manxi Wu, Edgar Dobriban, Yi Ma:
Pursuit of a discriminative representation for multiple subspaces via sequential games. J. Frankl. Inst. 360(6): 4135-4171 (2023) - [c13]Sreenivas Gollapudi, Kostas Kollias, Chinmay Maheshwari, Manxi Wu:
Online Learning for Traffic Navigation in Congested Networks. ALT 2023: 642-662 - [c12]Haripriya Pulyassary, Ruifan Yang, Zhanhao Zhang, Manxi Wu:
Capacity Allocation and Pricing of High Occupancy Toll Lane Systems with Heterogeneous Travelers. CDC 2023: 3252-3256 - [i20]Haripriya Pulyassary, Ruifan Yang, Zhanhao Zhang, Manxi Wu:
Capacity Allocation and Pricing of High Occupancy Toll Lane Systems with Heterogeneous Travelers. CoRR abs/2304.09234 (2023) - [i19]Xin Guo, Xinyu Li, Chinmay Maheshwari, Shankar Sastry, Manxi Wu:
Markov α-Potential Games: Equilibrium Approximation and Regret Analysis. CoRR abs/2305.12553 (2023) - [i18]Saurabh Amin, Patrick Jaillet, Haripriya Pulyassary, Manxi Wu:
Market Design for Dynamic Pricing and Pooling in Capacitated Networks. CoRR abs/2307.03994 (2023) - [i17]Ozan Candogan, Manxi Wu:
Information Design for Spatial Resource Allocation. CoRR abs/2307.08040 (2023) - [i16]Sander Aarts, Manxi Wu, David B. Shmoys:
Sharing the Cost of IoT Wireless Coverage with a Strengthened Linear Programming Formulation. CoRR abs/2309.16914 (2023) - [i15]Haripriya Pulyassary, Kostas Kollias, Aaron Schild, David B. Shmoys, Manxi Wu:
Network Flow Problems with Electric Vehicles. CoRR abs/2311.05040 (2023) - 2022
- [j5]Xiaowei Zhang, Jing Pan, Jian Shen, Zia Ud Din, Junlei Li, Dawei Lu, Manxi Wu, Bin Hu:
Fusing of Electroencephalogram and Eye Movement With Group Sparse Canonical Correlation Analysis for Anxiety Detection. IEEE Trans. Affect. Comput. 13(2): 958-971 (2022) - [c11]Chinmay Maheshwari, Kshitij Kulkarni, Manxi Wu, S. Shankar Sastry:
Dynamic Tolling for Inducing Socially Optimal Traffic Loads. ACC 2022: 4601-4607 - [c10]Chinmay Maheshwari, Kshitij Kulkarni, Manxi Wu, S. Shankar Sastry:
Inducing Social Optimality in Games via Adaptive Incentive Design. CDC 2022: 2864-2869 - [c9]Aron Brenner, Manxi Wu, Saurabh Amin:
Interpretable Machine Learning Models for Modal Split Prediction in Transportation Systems. ITSC 2022: 901-908 - [i14]Aron Brenner, Manxi Wu, Saurabh Amin:
Interpretable Machine Learning Models for Modal Split Prediction in Transportation Systems. CoRR abs/2203.14191 (2022) - [i13]Chinmay Maheshwari, Kshitij Kulkarni, Manxi Wu, Shankar Sastry:
Inducing Social Optimality in Games via Adaptive Incentive Design. CoRR abs/2204.05507 (2022) - [i12]Chinmay Maheshwari, Manxi Wu, Druv Pai, Shankar Sastry:
Independent and Decentralized Learning in Markov Potential Games. CoRR abs/2205.14590 (2022) - [i11]Manxi Wu, Saurabh Amin, Asuman E. Ozdaglar:
Convergence and Stability of Coupled Belief-Strategy Learning Dynamics in Continuous Games. CoRR abs/2206.05637 (2022) - [i10]Druv Pai, Michael Psenka, Chih-Yuan Chiu, Manxi Wu, Edgar Dobriban, Yi Ma:
Pursuit of a Discriminative Representation for Multiple Subspaces via Sequential Games. CoRR abs/2206.09120 (2022) - 2021
- [j4]Manxi Wu, Saurabh Amin, Asuman E. Ozdaglar:
Value of Information in Bayesian Routing Games. Oper. Res. 69(1): 148-163 (2021) - [j3]Xiaowei Zhang, Dawei Lu, Jing Pan, Jian Shen, Manxi Wu, Xiping Hu, Bin Hu:
Fatigue Detection With Covariance Manifolds of Electroencephalography in Transportation Industry. IEEE Trans. Ind. Informatics 17(5): 3497-3507 (2021) - [j2]Jian Shen, Xiaowei Zhang, Xiao Huang, Manxi Wu, Jin Gao, Dawei Lu, Zhijie Ding, Bin Hu:
An Optimal Channel Selection for EEG-Based Depression Detection via Kernel-Target Alignment. IEEE J. Biomed. Health Informatics 25(7): 2545-2556 (2021) - [c8]Manxi Wu, Devendra Shelar, Raja Gopalakrishnan, Saurabh Amin:
Optimal Testing Strategy for Containing COVID-19: A Case-Study on Indian Migrant Worker Population. ACC 2021: 3145-3151 - [c7]Xiangyu Wei, Meifei Chen, Manxi Wu, Xiaowei Zhang, Bin Hu:
EEG-Based Depression Detection with a Synthesis-Based Data Augmentation Strategy. ISBRA 2021: 484-496 - [i9]Saurabh Amin, Patrick Jaillet, Manxi Wu:
Efficient Carpooling and Toll Pricing for Autonomous Transportation. CoRR abs/2102.09132 (2021) - [i8]Manxi Wu, Saurabh Amin, Asuman E. Ozdaglar:
Multi-agent Bayesian Learning with Best Response Dynamics: Convergence and Stability. CoRR abs/2109.00719 (2021) - [i7]Chinmay Maheshwari, Kshitij Kulkarni, Manxi Wu, Shankar Sastry:
Dynamic Tolling for Inducing Socially Optimal Traffic Loads. CoRR abs/2110.08879 (2021) - 2020
- [c6]Xiaowei Zhang, Dawei Lu, Jian Shen, Jin Gao, Xiao Huang, Manxi Wu:
Spatial-temporal Joint optimization Network on Covariance Manifolds of Electroencephalography for Fatigue Detection. BIBM 2020: 893-900 - [c5]Manxi Wu, Saurabh Amin, Asuman E. Ozdaglar:
Bayesian Learning with Adaptive Load Allocation Strategies. L4DC 2020: 561-570 - [i6]Manxi Wu, Saurabh Amin, Asuman E. Ozdaglar:
Multi-agent Bayesian Learning with Adaptive Strategies: Convergence and Stability. CoRR abs/2010.09128 (2020)
2010 – 2019
- 2019
- [j1]Manxi Wu, Saurabh Amin:
Securing Infrastructure Facilities: When Does Proactive Defense Help? Dyn. Games Appl. 9(4): 984-1025 (2019) - [c4]Manxi Wu, Saurabh Amin:
Information Design for Regulating Traffic Flows under Uncertain Network State. Allerton 2019: 671-678 - [i5]Manxi Wu, Saurabh Amin:
Learning an Unknown Network State in Routing Games. CoRR abs/1905.04433 (2019) - [i4]Manxi Wu, Saurabh Amin:
Information Design for Regulating Traffic Flows under Uncertain Network State. CoRR abs/1908.07105 (2019) - 2018
- [c3]Manxi Wu, Li Jin, Saurabh Amin, Patrick Jaillet:
Signaling Game-based Misbehavior Inspection in V2I-enabled Highway Operations. CDC 2018: 2728-2734 - [i3]Manxi Wu, Li Jin, Saurabh Amin, Patrick Jaillet:
Signaling Game-based Misbehavior Inspection in V2I-enabled Highway Operations. CoRR abs/1803.08415 (2018) - [i2]Manxi Wu, Saurabh Amin:
Security of Transportation Networks: Modeling Attacker-Defender Interaction. CoRR abs/1804.00391 (2018) - [i1]Manxi Wu, Saurabh Amin, Asuman E. Ozdaglar:
Value of Information Systems in Routing Games. CoRR abs/1808.10590 (2018) - 2017
- [c2]Manxi Wu, Jeffrey Liu, Saurabh Amin:
Informational aspects in a class of Bayesian congestion games. ACC 2017: 3650-3657 - 2015
- [c1]Xiaoyun Xu, Yaping Zhao, Haidong Li, Manxi Wu:
Stochastic customer order scheduling to maximize throughput. CASE 2015: 665-670
Coauthor Index
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