Manxi Wu - RankMe

58 papers B 3C 3Journal 43Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Average Unfairness in Routing Games. CoRR Pan-Yang Su, Arwa Alanqary, Bryce L. Ferguson, Manxi Wu, Alexandre M. Bayen, Shankar Sastry
2026	J	`jnl`	Game-to-Real Gap: Quantifying the Effect of Model Misspecification in Network Games. CoRR Bryce L. Ferguson, Chinmay Maheshwari, Manxi Wu, Shankar Sastry
2026	J	`jnl`	Learning to Recommend in Unknown Games. CoRR Arwa Alanqary, Zakaria Baba, Manxi Wu, Alexandre M. Bayen
2026	J	`jnl`	Market Design for Capacity Sharing in Networks. ACM Trans. Economics and Comput. Saurabh Amin, Patrick Jaillet, Haripriya Pulyassary, Manxi Wu
2026	J	`jnl`	Markov $\alpha$-Potential Games. IEEE Trans. Autom. Control. Xin Guo, Xinyu Li, Chinmay Maheshwari, S. Shankar Sastry, Manxi Wu
2025	J	`jnl`	Atomic Proximal Policy Optimization for Electric Robo-Taxi Dispatch and Charger Allocation. CoRR Jim Dai, Manxi Wu, Zhanhao Zhang
2025	J	`jnl`	Convergence and Stability of Coupled Belief-Strategy Learning Dynamics in Continuous Games. Math. Oper. Res. Manxi Wu, Saurabh Amin, Asuman E. Ozdaglar
2025	J	`jnl`	Independent and Decentralized Learning in Markov Potential Games. IEEE Trans. Autom. Control. Chinmay Maheshwari, Manxi Wu, Druv Pai, Shankar Sastry
2025	J	`jnl`	Learning with Episodic Hypothesis Testing in General Games: A Framework for Equilibrium Selection. CoRR Ruifan Yang, Manxi Wu
2025	J	`jnl`	Learning with Episodic Hypothesis Testing in General Games: A Framework for Equilibrium Selection. Proc. ACM Meas. Anal. Comput. Syst. Ruifan Yang, Manxi Wu
2025	J	`jnl`	Optimal Batched Scheduling of Stochastic Processing Networks Using Atomic Action Decomposition. CoRR Jim Dai, Manxi Wu, Zhanhao Zhang
2025	J	`jnl`	Stochastic customer order scheduling to minimize long-run expected order cycle time. Ann. Oper. Res. Xiaoyun Xu, Yaping Zhao, Manxi Wu, Zihuan Zhou, Ying Ma, Yanni Liu
2024	J	`jnl`	A Game Theoretic Analysis of High Occupancy Toll Lane Design. CoRR Zhanhao Zhang, Ruifan Yang, Manxi Wu
2024	J	`jnl`	Adaptive Incentive Design with Learning Agents. CoRR Chinmay Maheshwari, Kshitij Kulkarni, Manxi Wu, S. Shankar Sastry
2024	B	`conf`	Bounding the Price-of-Fair-Sharing Using Knapsack-Cover Constraints to Guide Near-Optimal Cost-Recovery Algorithms. WAOA Sander Aarts, Jacob Dentes, Manxi Wu, David B. Shmoys
2024	J	`jnl`	Congestion Pricing for Efficiency and Equity: Theory and Applications to the San Francisco Bay Area. CoRR Chinmay Maheshwari, Kshitij Kulkarni, Druv Pai, Jiarui Yang, Manxi Wu, Shankar Sastry
2024	J	`jnl`	Convergence of Decentralized Actor-Critic Algorithm in General-Sum Markov Games. IEEE Control. Syst. Lett. Chinmay Maheshwari, Manxi Wu, S. Shankar Sastry
2024	J	`jnl`	Decentralized Learning in General-sum Markov Games. CoRR Chinmay Maheshwari, Manxi Wu, Shankar Sastry
2024	B	`conf`	Network Flow Problems with Electric Vehicles. IPCO Haripriya Pulyassary, Kostas Kollias, Aaron Schild, David B. Shmoys, Manxi Wu
2023	—	`conf`	Capacity Allocation and Pricing of High Occupancy Toll Lane Systems with Heterogeneous Travelers. CDC Haripriya Pulyassary, Ruifan Yang, Zhanhao Zhang, Manxi Wu
2023	J	`jnl`	Capacity Allocation and Pricing of High Occupancy Toll Lane Systems with Heterogeneous Travelers. CoRR Haripriya Pulyassary, Ruifan Yang, Zhanhao Zhang, Manxi Wu
2023	J	`jnl`	Information Design for Spatial Resource Allocation. CoRR Ozan Candogan, Manxi Wu
2023	J	`jnl`	Market Design for Dynamic Pricing and Pooling in Capacitated Networks. CoRR Saurabh Amin, Patrick Jaillet, Haripriya Pulyassary, Manxi Wu
2023	J	`jnl`	Markov α-Potential Games: Equilibrium Approximation and Regret Analysis. CoRR Xin Guo, Xinyu Li, Chinmay Maheshwari, Shankar Sastry, Manxi Wu
2023	J	`jnl`	Network Flow Problems with Electric Vehicles. CoRR Haripriya Pulyassary, Kostas Kollias, Aaron Schild, David B. Shmoys, Manxi Wu
2023	B	`conf`	Online Learning for Traffic Navigation in Congested Networks. ALT Sreenivas Gollapudi, Kostas Kollias, Chinmay Maheshwari, Manxi Wu
2023	J	`jnl`	Pursuit of a discriminative representation for multiple subspaces via sequential games. J. Frankl. Inst. Druv Pai, Michael Psenka, Chih-Yuan Chiu, Manxi Wu, Edgar Dobriban, Yi Ma
2023	J	`jnl`	Sharing the Cost of IoT Wireless Coverage with a Strengthened Linear Programming Formulation. CoRR Sander Aarts, Manxi Wu, David B. Shmoys
2022	J	`jnl`	Convergence and Stability of Coupled Belief-Strategy Learning Dynamics in Continuous Games. CoRR Manxi Wu, Saurabh Amin, Asuman E. Ozdaglar
2022	C	`conf`	Dynamic Tolling for Inducing Socially Optimal Traffic Loads. ACC Chinmay Maheshwari, Kshitij Kulkarni, Manxi Wu, S. Shankar Sastry
2022	J	`jnl`	Fusing of Electroencephalogram and Eye Movement With Group Sparse Canonical Correlation Analysis for Anxiety Detection. IEEE Trans. Affect. Comput. Xiaowei Zhang, Jing Pan, Jian Shen, Zia Ud Din, Junlei Li, Dawei Lu, Manxi Wu, Bin Hu
2022	J	`jnl`	Independent and Decentralized Learning in Markov Potential Games. CoRR Chinmay Maheshwari, Manxi Wu, Druv Pai, Shankar Sastry
2022	—	`conf`	Inducing Social Optimality in Games via Adaptive Incentive Design. CDC Chinmay Maheshwari, Kshitij Kulkarni, Manxi Wu, S. Shankar Sastry
2022	J	`jnl`	Inducing Social Optimality in Games via Adaptive Incentive Design. CoRR Chinmay Maheshwari, Kshitij Kulkarni, Manxi Wu, Shankar Sastry
2022	—	`conf`	Interpretable Machine Learning Models for Modal Split Prediction in Transportation Systems. ITSC Aron Brenner, Manxi Wu, Saurabh Amin
2022	J	`jnl`	Interpretable Machine Learning Models for Modal Split Prediction in Transportation Systems. CoRR Aron Brenner, Manxi Wu, Saurabh Amin
2022	J	`jnl`	Pursuit of a Discriminative Representation for Multiple Subspaces via Sequential Games. CoRR Druv Pai, Michael Psenka, Chih-Yuan Chiu, Manxi Wu, Edgar Dobriban, Yi Ma
2021	J	`jnl`	An Optimal Channel Selection for EEG-Based Depression Detection via Kernel-Target Alignment. IEEE J. Biomed. Health Informatics Jian Shen, Xiaowei Zhang, Xiao Huang, Manxi Wu, Jin Gao, Dawei Lu, Zhijie Ding, Bin Hu
2021	J	`jnl`	Dynamic Tolling for Inducing Socially Optimal Traffic Loads. CoRR Chinmay Maheshwari, Kshitij Kulkarni, Manxi Wu, Shankar Sastry
2021	—	`conf`	EEG-Based Depression Detection with a Synthesis-Based Data Augmentation Strategy. ISBRA Xiangyu Wei, Meifei Chen, Manxi Wu, Xiaowei Zhang, Bin Hu
2021	J	`jnl`	Efficient Carpooling and Toll Pricing for Autonomous Transportation. CoRR Saurabh Amin, Patrick Jaillet, Manxi Wu
2021	J	`jnl`	Fatigue Detection With Covariance Manifolds of Electroencephalography in Transportation Industry. IEEE Trans. Ind. Informatics Xiaowei Zhang, Dawei Lu, Jing Pan, Jian Shen, Manxi Wu, Xiping Hu, Bin Hu
2021	J	`jnl`	Multi-agent Bayesian Learning with Best Response Dynamics: Convergence and Stability. CoRR Manxi Wu, Saurabh Amin, Asuman E. Ozdaglar
2021	C	`conf`	Optimal Testing Strategy for Containing COVID-19: A Case-Study on Indian Migrant Worker Population. ACC Manxi Wu, Devendra Shelar, Raja Gopalakrishnan, Saurabh Amin
2021	J	`jnl`	Value of Information in Bayesian Routing Games. Oper. Res. Manxi Wu, Saurabh Amin, Asuman E. Ozdaglar
2020	—	`conf`	Bayesian Learning with Adaptive Load Allocation Strategies. L4DC Manxi Wu, Saurabh Amin, Asuman E. Ozdaglar
2020	J	`jnl`	Multi-agent Bayesian Learning with Adaptive Strategies: Convergence and Stability. CoRR Manxi Wu, Saurabh Amin, Asuman E. Ozdaglar
2020	—	`conf`	Spatial-temporal Joint optimization Network on Covariance Manifolds of Electroencephalography for Fatigue Detection. BIBM Xiaowei Zhang, Dawei Lu, Jian Shen, Jin Gao, Xiao Huang, Manxi Wu
2019	—	`conf`	Information Design for Regulating Traffic Flows under Uncertain Network State. Allerton Manxi Wu, Saurabh Amin
2019	J	`jnl`	Information Design for Regulating Traffic Flows under Uncertain Network State. CoRR Manxi Wu, Saurabh Amin
2019	J	`jnl`	Learning an Unknown Network State in Routing Games. CoRR Manxi Wu, Saurabh Amin
2019	J	`jnl`	Securing Infrastructure Facilities: When Does Proactive Defense Help? Dyn. Games Appl. Manxi Wu, Saurabh Amin
2018	J	`jnl`	Security of Transportation Networks: Modeling Attacker-Defender Interaction. CoRR Manxi Wu, Saurabh Amin
2018	—	`conf`	Signaling Game-based Misbehavior Inspection in V2I-enabled Highway Operations. CDC Manxi Wu, Li Jin, Saurabh Amin, Patrick Jaillet
2018	J	`jnl`	Signaling Game-based Misbehavior Inspection in V2I-enabled Highway Operations. CoRR Manxi Wu, Li Jin, Saurabh Amin, Patrick Jaillet
2018	J	`jnl`	Value of Information Systems in Routing Games. CoRR Manxi Wu, Saurabh Amin, Asuman E. Ozdaglar
2017	C	`conf`	Informational aspects in a class of Bayesian congestion games. ACC Manxi Wu, Jeffrey Liu, Saurabh Amin
2015	—	`conf`	Stochastic customer order scheduling to maximize throughput. CASE Xiaoyun Xu, Yaping Zhao, Haidong Li, Manxi Wu