Cathy Wu - RankMe

106 papers A* 12A 4Misc 2Journal 68Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A General Neural Backbone for Mixed-Integer Linear Optimization via Dual Attention. CoRR Peixin Huang, Yaoxin Wu, Yining Ma, Cathy Wu, Wen Song, Wei Zhang
2026	J	`jnl`	Eco-Driving Incentive Mechanisms for Mitigating Emissions in Urban Transportation. IEEE Trans. Control. Netw. Syst. Muhammad Umar B. Niazi, Jung-Hoon Cho, Munther A. Dahleh, Roy Dong, Cathy Wu
2026	J	`jnl`	Learning-guided Prioritized Planning for Lifelong Multi-Agent Path Finding in Warehouse Automation. CoRR Han Zheng, Yining Ma, Brandon Araki, Jingkai Chen, Cathy Wu
2026	J	`jnl`	Learning-guided Prioritized Planning for Lifelong Multi-Agent Path Finding in Warehouse Automation. J. Artif. Intell. Res. Han Zheng, Yining Ma, Brandon Araki, Jingkai Chen, Cathy Wu
2026	J	`jnl`	Measuring the State of Open Science in Transportation Using Large Language Models. CoRR Junyi Ji, Ruth Lu, Linda Belkessa, Liming Wang, Silvia Varotto, Yongqi Dong, Nicolas Saunier, Mostafa Ameli, Gregory S. Macfarlane, Bahman Madadi, Cathy Wu
2026	J	`jnl`	Probability-Aware Parking Selection. CoRR Cameron Hickert, Sirui Li, Zhengbing He, Cathy Wu
2026	J	`jnl`	Probability-Aware Parking Selection. IEEE Trans. Intell. Transp. Syst. Cameron Hickert, Sirui Li, Zhengbing He, Cathy Wu
2026	A*	`conf`	Structure Detection for Contextual Reinforcement Learning. AAAI Tianyue Zhou, Jung-Hoon Cho, Cathy Wu
2026	J	`jnl`	Structure Detection for Contextual Reinforcement Learning. CoRR Tianyue Zhou, Jung-Hoon Cho, Cathy Wu
2026	J	`jnl`	Temporal Transfer Learning for Traffic Optimization with Coarse-Grained Advisory Autonomy. IEEE Trans. Robotics Jung-Hoon Cho, Sirui Li, Jeongyun Kim, Cathy Wu
2026	J	`jnl`	Towards Efficient Constraint Handling in Neural Solvers for Routing Problems. CoRR Jieyi Bi, Zhiguang Cao, Jianan Zhou, Wen Song, Yaoxin Wu, Jie Zhang, Yining Ma, Cathy Wu
2025	J	`jnl`	A Review of Traffic Wave Suppression Strategies: Variable Speed Limit vs. Jam-Absorption Driving. CoRR Zhengbing He, Jorge Laval, Yu Han, Ryosuke Nishi, Cathy Wu
2025	J	`jnl`	A Roadmap for Climate-Relevant Robotics Research. CoRR Alan Papalia, Charles Dawson, Laurentiu L. Anton, Norhan Bayomi, Bianca Champenois, Jung-Hoon Cho, Levi Cai, Joseph DelPreto, Kristen Edwards, Bilha-Catherine Githinji, Cameron Hickert, Vindula Jayawardana, Matthew Kramer, Shreyaa Raghavan, David Russell, Shide Salimi, Jingnan Shi, Soumya Sudhakar, Yanwei Wang, Shouyi Wang, Luca Carlone, Vijay Kumar, Daniela Rus, John E. Fernandez, Cathy Wu, George Kantor, Derek Young, Hanumant Singh
2025	J	`jnl`	AlphaOPT: Formulating Optimization Programs with Self-Improving LLM Experience Library. CoRR Minwei Kong, Ao Qu, Xiaotong Guo, Wenbin Ouyang, Chonghe Jiang, Han Zheng, Yining Ma, Dingyi Zhuang, Yuhan Tang, Junyi Li, Hai Wang, Cathy Wu, Jinhua Zhao
2025	A*	`conf`	IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning. ICLR Vindula Jayawardana, Baptiste Freydt, Ao Qu, Cameron Hickert, Zhongxia Yan, Cathy Wu
2025	J	`jnl`	Learning to Segment for Vehicle Routing Problems. CoRR Wenbin Ouyang, Sirui Li, Yining Ma, Cathy Wu
2025	A*	`conf`	Learning-Guided Rolling Horizon Optimization for Long-Horizon Flexible Job-Shop Scheduling. ICLR Sirui Li, Wenbin Ouyang, Yining Ma, Cathy Wu
2025	J	`jnl`	Learning-Guided Rolling Horizon Optimization for Long-Horizon Flexible Job-Shop Scheduling. CoRR Sirui Li, Wenbin Ouyang, Yining Ma, Cathy Wu
2025	J	`jnl`	Lessons in Cooperation: Driver Sentiments Toward Real-Time Advisory Systems. IEEE Intell. Transp. Syst. Mag. Aamir Hasan, Neeloy Chakraborty, Haonan Chen, Cathy Wu, Katherine Driggs-Campbell
2025	J	`jnl`	Markov Regime-Switching Intelligent Driver Model for Interpretable Car-Following Behavior. CoRR Chengyuan Zhang, Cathy Wu, Lijun Sun
2025	J	`jnl`	Multi-residual Mixture of Experts Learning for Cooperative Control in Multi-vehicle Systems. CoRR Vindula Jayawardana, Sirui Li, Yashar Zeiynali Farid, Cathy Wu
2025	J	`jnl`	NeuralMOVES: A lightweight and microscopic vehicle emission estimation model based on reverse engineering and surrogate learning. CoRR Edgar Ramirez Sanchez, Catherine Tang, Yaosheng Xu, Nrithya Renganathan, Vindula Jayawardana, Zhengbing He, Cathy Wu
2025	J	`jnl`	Noise-Aware Generative Microscopic Traffic Simulation. CoRR Vindula Jayawardana, Catherine Tang, Junyi Ji, Jonah Philion, Xue Bin Peng, Cathy Wu
2025	J	`jnl`	RL2Grid: Benchmarking Reinforcement Learning in Power Grid Operations. CoRR Enrico Marchesini, Benjamin Donnot, Constance Crozier, Ian Dytham, Christian Merz, Lars Schewe, Nico Westerbeck, Cathy Wu, Antoine Marot, Priya L. Donti
2025	—	`conf`	RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark. KDD (2) Federico Berto, Chuanbo Hua, Junyoung Park, Laurin Luttmann, Yining Ma, Fanchen Bu, Jiarui Wang, Haoran Ye, Minsu Kim, Sanghyeok Choi, Nayeli Gast Zepeda, André Hottung, Jianan Zhou, Jieyi Bi, Yu Hu, Fei Liu, Hyeonah Kim, Jiwoo Son, Haeyeon Kim, Davide Angioni, Wouter Kool, Zhiguang Cao, Qingfu Zhang, Joungho Kim, Jie Zhang, Kijung Shin, Cathy Wu, Sungsoo Ahn, Guojie Song, Changhyun Kwon, Kevin Tierney, Lin Xie, Jinkyoo Park
2025	J	`jnl`	Reimagining Urban Science: Scaling Causal Inference with Large Language Models. CoRR Yutong Xia, Ao Qu, Yunhan Zheng, Yihong Tang, Dingyi Zhuang, Yuxuan Liang, Cathy Wu, Roger Zimmermann, Jinhua Zhao
2025	J	`jnl`	Reinforcement Learning for Robust Advisories Under Driving Compliance Errors. IEEE Trans. Intell. Transp. Syst. Jeongyun Kim, Jung-Hoon Cho, Cathy Wu
2025	J	`jnl`	Route Recommendations for Traffic Management Under Learned Partial Driver Compliance. CoRR Heeseung Bang, Jung-Hoon Cho, Cathy Wu, Andreas A. Malikopoulos
2025	J	`jnl`	The Nah Bandit: Modeling User Noncompliance in Recommendation Systems. IEEE Trans. Control. Netw. Syst. Tianyue Zhou, Jung-Hoon Cho, Cathy Wu
2025	A*	`conf`	Towards Foundation Models for Mixed Integer Linear Programming. ICLR Sirui Li, Janardhan Kulkarni, Ishai Menache, Cathy Wu, Beibin Li
2025	J	`jnl`	When Context Is Not Enough: Modeling Unexplained Variability in Car-Following Behavior. CoRR Chengyuan Zhang, Zhengbing He, Cathy Wu, Lijun Sun
2024	A	`conf`	A Data-Informed Analysis of Scalable Supervision for Safety in Autonomous Vehicle Fleets. IROS Cameron Hickert, Zhongxia Yan, Cathy Wu
2024	J	`jnl`	A Data-Informed Analysis of Scalable Supervision for Safety in Autonomous Vehicle Fleets. CoRR Cameron Hickert, Zhongxia Yan, Cathy Wu
2024	J	`jnl`	Cooperative Advisory Residual Policies for Congestion Mitigation. CoRR Aamir Hasan, Neeloy Chakraborty, Haonan Chen, Jung-Hoon Cho, Cathy Wu, Katherine Rose Driggs-Campbell
2024	J	`jnl`	Eco-driving Incentive Mechanisms for Mitigating Emissions in Urban Transportation. CoRR Muhammad Umar B. Niazi, Jung-Hoon Cho, Munther A. Dahleh, Roy Dong, Cathy Wu
2024	—	`conf`	Expert with Clustering: Hierarchical Online Preference Learning Framework. L4DC Tianyue Zhou, Jung-Hoon Cho, Babak Rahimi Ardabili, Hamed Tabkhi, Cathy Wu
2024	J	`jnl`	Expert with Clustering: Hierarchical Online Preference Learning Framework. CoRR Tianyue Zhou, Jung-Hoon Cho, Babak Rahimi Ardabili, Hamed Tabkhi, Cathy Wu
2024	A*	`conf`	Generalizing Cooperative Eco-driving via Multi-residual Task Learning. ICRA Vindula Jayawardana, Sirui Li, Cathy Wu, Yashar Zeiynali Farid, Kentaro Oguchi
2024	J	`jnl`	Generalizing Cooperative Eco-driving via Multi-residual Task Learning. CoRR Vindula Jayawardana, Sirui Li, Cathy Wu, Yashar Zeiynali Farid, Kentaro Oguchi
2024	J	`jnl`	Hybrid System Stability Analysis of Multilane Mixed-Autonomy Traffic. IEEE Trans. Robotics Sirui Li, Roy Dong, Cathy Wu
2024	—	`conf`	Incentive Design for Eco-driving in Urban Transportation Networks. ECC Muhammad Umar B. Niazi, Jung-Hoon Cho, Munther A. Dahleh, Roy Dong, Cathy Wu
2024	J	`jnl`	Integrated Analysis of Coarse-Grained Guidance for Traffic Flow Stability. IEEE Trans. Control. Netw. Syst. Sirui Li, Roy Dong, Cathy Wu
2024	J	`jnl`	IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning. CoRR Vindula Jayawardana, Baptiste Freydt, Ao Qu, Cameron Hickert, Zhongxia Yan, Cathy Wu
2024	J	`jnl`	Lessons in Cooperation: A Qualitative Analysis of Driver Sentiments towards Real-Time Advisory Systems from a Driving Simulator User Study. CoRR Aamir Hasan, Neeloy Chakraborty, Haonan Chen, Cathy Wu, Katherine Driggs-Campbell
2024	J	`jnl`	Mitigating Metropolitan Carbon Emissions with Dynamic Eco-driving at Scale. CoRR Vindula Jayawardana, Baptiste Freydt, Ao Qu, Cameron Hickert, Edgar Sanchez, Catherine Tang, Mark Taylor, Blaine Leonard, Cathy Wu
2024	A*	`conf`	Model-Based Transfer Learning for Contextual Reinforcement Learning. NeurIPS Jung-Hoon Cho, Vindula Jayawardana, Sirui Li, Cathy Wu
2024	J	`jnl`	Model-Based Transfer Learning for Contextual Reinforcement Learning. CoRR Jung-Hoon Cho, Vindula Jayawardana, Sirui Li, Cathy Wu
2024	J	`jnl`	Model-Free Learning of Corridor Clearance: A Near-Term Deployment Perspective. IEEE Trans. Intell. Transp. Syst. Dajiang Suo, Vindula Jayawardana, Cathy Wu
2024	A*	`conf`	Multi-agent Path Finding for Cooperative Autonomous Driving. ICRA Zhongxia Yan, Han Zheng, Cathy Wu
2024	J	`jnl`	Multi-agent Path Finding for Cooperative Autonomous Driving. CoRR Zhongxia Yan, Han Zheng, Cathy Wu
2024	A	`conf`	Multi-agent Path Finding for Mixed Autonomy Traffic Coordination. IROS Han Zheng, Zhongxia Yan, Cathy Wu
2024	J	`jnl`	Multi-agent Path Finding for Mixed Autonomy Traffic Coordination. CoRR Han Zheng, Zhongxia Yan, Cathy Wu
2024	A*	`conf`	Neural Neighborhood Search for Multi-agent Path Finding. ICLR Zhongxia Yan, Cathy Wu
2024	A	`conf`	Scalability of Platoon-based Coordination for Mixed Autonomy Intersections. IROS Zhongxia Yan, Cathy Wu
2024	J	`jnl`	The Nah Bandit: Modeling User Non-compliance in Recommendation Systems. CoRR Tianyue Zhou, Jung-Hoon Cho, Cathy Wu
2024	J	`jnl`	Towards Foundation Models for Mixed Integer Linear Programming. CoRR Sirui Li, Janardhan Kulkarni, Ishai Menache, Cathy Wu, Beibin Li
2024	J	`jnl`	What is a typical signalized intersection in a city? A pipeline for intersection data imputation from OpenStreetMap. CoRR Ao Qu, Anirudh Valiveru, Catherine Tang, Vindula Jayawardana, Baptiste Freydt, Cathy Wu
2024	J	`jnl`	Will Large Language Models be a Panacea to Autonomous Driving? CoRR Yuxuan Zhu, Shiyi Wang, Wenqing Zhong, Nianchen Shen, Yunqi Li, Siqi Wang, Zhiheng Li, Cathy Wu, Zhengbing He, Li Li
2023	J	`jnl`	Cooperation for Scalable Supervision of Autonomy in Mixed Traffic. IEEE Trans. Robotics Cameron Hickert, Sirui Li, Cathy Wu
2023	J	`jnl`	Data-Driven Traffic Reconstruction and Kernel Methods for Identifying Stop-and-Go Congestion. CoRR Edgar Ramirez Sanchez, Shreyaa Raghavan, Cathy Wu
2023	J	`jnl`	Hybrid System Stability Analysis of Multi-Lane Mixed-Autonomy Traffic. CoRR Sirui Li, Roy Dong, Cathy Wu
2023	J	`jnl`	Incentive Design for Eco-driving in Urban Transportation Networks. CoRR Muhammad Umar B. Niazi, Jung-Hoon Cho, Munther A. Dahleh, Roy Dong, Cathy Wu
2023	J	`jnl`	Integrated Analysis of Human-compatible Control for Traffic Flow Stability. CoRR Sirui Li, Roy Dong, Cathy Wu
2023	A*	`conf`	Learning to Configure Separators in Branch-and-Cut. NeurIPS Sirui Li, Wenbin Ouyang, Max B. Paulus, Cathy Wu
2023	J	`jnl`	Learning to Configure Separators in Branch-and-Cut. CoRR Sirui Li, Wenbin Ouyang, Max B. Paulus, Cathy Wu
2023	J	`jnl`	Model-free Learning of Corridor Clearance: A Near-term Deployment Perspective. CoRR Dajiang Suo, Vindula Jayawardana, Cathy Wu
2023	—	`conf`	Multi-behavior Learning for Socially Compatible Autonomous Driving. ITSC Sanjula Jayawardana, Vindula Jayawardana, Kaneeka Vidanage, Cathy Wu
2023	—	`conf`	PeRP: Personalized Residual Policies For Congestion Mitigation Through Co-operative Advisory Systems. ITSC Aamir Hasan, Neeloy Chakraborty, Haonan Chen, Jung-Hoon Cho, Cathy Wu, Katherine Driggs-Campbell
2023	J	`jnl`	PeRP: Personalized Residual Policies For Congestion Mitigation Through Co-operative Advisory Systems. CoRR Aamir Hasan, Neeloy Chakraborty, Haonan Chen, Jung-Hoon Cho, Cathy Wu, Katherine Rose Driggs-Campbell
2023	—	`conf`	Stabilization Guarantees of Human-Compatible Control via Lyapunov Analysis. ECC Sirui Li, Roy Dong, Cathy Wu
2023	J	`jnl`	Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy. CoRR Jung-Hoon Cho, Sirui Li, Jeongyun Kim, Cathy Wu
2023	J	`jnl`	Towards Co-operative Congestion Mitigation. CoRR Aamir Hasan, Neeloy Chakraborty, Cathy Wu, Katherine Rose Driggs-Campbell
2023	J	`jnl`	Unified Automatic Control of Vehicular Systems With Reinforcement Learning. IEEE Trans Autom. Sci. Eng. Zhongxia Yan, Abdul Rahman Kreidieh, Eugene Vinitsky, Alexandre M. Bayen, Cathy Wu
2022	J	`jnl`	Flow: A Modular Learning Framework for Mixed Autonomy Traffic. IEEE Trans. Robotics Cathy Wu, Abdul Rahman Kreidieh, Kanaad Parvate, Eugene Vinitsky, Alexandre M. Bayen
2022	—	`conf`	Learning Eco-Driving Strategies at Signalized Intersections. ECC Vindula Jayawardana, Cathy Wu
2022	J	`jnl`	Learning Eco-Driving Strategies at Signalized Intersections. CoRR Vindula Jayawardana, Cathy Wu
2022	J	`jnl`	Sociotechnical Specification for the Broader Impacts of Autonomous Vehicles. CoRR Thomas Krendl Gilbert, Aaron J. Snoswell, Michael Dennis, Rowan McAllister, Cathy Wu
2022	J	`jnl`	The Braess Paradox in Dynamic Traffic. CoRR Dingyi Zhuang, Yuzhu Huang, Vindula Jayawardana, Jinhua Zhao, Dajiang Suo, Cathy Wu
2022	—	`conf`	The Braess's Paradox in Dynamic Traffic. ITSC Dingyi Zhuang, Yuzhu Huang, Vindula Jayawardana, Jinhua Zhao, Dajiang Suo, Cathy Wu
2022	A*	`conf`	The Impact of Task Underspecification in Evaluating Deep Reinforcement Learning. NeurIPS Vindula Jayawardana, Catherine Tang, Sirui Li, Dajiang Suo, Cathy Wu
2022	J	`jnl`	The Impact of Task Underspecification in Evaluating Deep Reinforcement Learning. CoRR Vindula Jayawardana, Catherine Tang, Sirui Li, Dajiang Suo, Cathy Wu
2022	A	`conf`	The Third Workshop on Data-driven Intelligent Transportation. CIKM Hua Wei, Guni Sharon, Cathy Wu, Sanjay Chawla, Zhenhui Li
2022	J	`jnl`	Unified Automatic Control of Vehicular Systems with Reinforcement Learning. CoRR Zhongxia Yan, Abdul Rahman Kreidieh, Eugene Vinitsky, Alexandre M. Bayen, Cathy Wu
2021	J	`jnl`	Cooperation for Scalable Supervision of Autonomy in Mixed Traffic. CoRR Cameron Hickert, Sirui Li, Cathy Wu
2021	J	`jnl`	It's Time to Do Something: Mitigating the Negative Impacts of Computing Through a Change to the Peer Review Process. CoRR Brent J. Hecht, Lauren Wilcox, Jeffrey P. Bigham, Johannes Schöning, Ehsan Hoque, Jason Ernst, Yonatan Bisk, Luigi De Russis, Lana Yarosh, Bushra Anjum, Danish Contractor, Cathy Wu
2021	J	`jnl`	Learning to Delegate for Large-scale Vehicle Routing. CoRR Sirui Li, Zhongxia Yan, Cathy Wu
2021	A*	`conf`	Learning to delegate for large-scale vehicle routing. NeurIPS Sirui Li, Zhongxia Yan, Cathy Wu
2021	—	`conf`	Mixed Autonomous Supervision in Traffic Signal Control. ITSC Vindula Jayawardana, Anna Landler, Cathy Wu
2021	—	`conf`	Piecewise Constant Policies for Human-Compatible Congestion Mitigation. ITSC Mayuri Sridhar, Cathy Wu
2021	—	`conf`	Reinforcement Learning for Mixed Autonomy Intersections. ITSC Zhongxia Yan, Cathy Wu
2021	J	`jnl`	Reinforcement Learning for Mixed Autonomy Intersections. CoRR Zhongxia Yan, Cathy Wu
2020	J	`jnl`	Block Simplex Signal Recovery: Methods, Trade-Offs, and an Application to Routing. IEEE Trans. Intell. Transp. Syst. Cathy Wu, Alexey Pozdnukhov, Alexandre M. Bayen
2018	Misc	`conf`	Benchmarks for reinforcement learning in mixed-autonomy traffic. CoRL Eugene Vinitsky, Aboudy Kreidieh, Luc Le Flem, Nishant Kheterpal, Kathy Jang, Cathy Wu, Fangyu Wu, Richard Liaw, Eric Liang, Alexandre M. Bayen
2018	—	`conf`	Dissipating stop-and-go waves in closed and open networks via deep reinforcement learning. ITSC Abdul Rahman Kreidieh, Cathy Wu, Alexandre M. Bayen
2018	—	`conf`	Lagrangian Control through Deep-RL: Applications to Bottleneck Decongestion. ITSC Eugene Vinitsky, Kanaad Parvate, Aboudy Kreidieh, Cathy Wu, Alexandre M. Bayen
2018	—	`—`	Learning and Optimization for Mixed Autonomy Systems - A Mobility Context. Cathy Wu
2018	A*	`conf`	Stabilizing Traffic with Autonomous Vehicles. ICRA Cathy Wu, Alexandre M. Bayen, Ankur Mehta
2018	—	`conf`	Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines. ICLR Cathy Wu, Aravind Rajeswaran, Yan Duan, Vikash Kumar, Alexandre M. Bayen, Sham M. Kakade, Igor Mordatch, Pieter Abbeel
2018	J	`jnl`	Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines. CoRR Cathy Wu, Aravind Rajeswaran, Yan Duan, Vikash Kumar, Alexandre M. Bayen, Sham M. Kakade, Igor Mordatch, Pieter Abbeel
2017	Misc	`conf`	Emergent Behaviors in Mixed-Autonomy Traffic. CoRL Cathy Wu, Aboudy Kreidieh, Eugene Vinitsky, Alexandre M. Bayen
2017	J	`jnl`	Flow: Architecture and Benchmarking for Reinforcement Learning in Traffic Control. CoRR Cathy Wu, Aboudy Kreidieh, Kanaad Parvate, Eugene Vinitsky, Alexandre M. Bayen
2017	—	`conf`	Framework for control and deep reinforcement learning in traffic. ITSC Cathy Wu, Kanaad Parvate, Nishant Kheterpal, Leah Dickstein, Ankur Mehta, Eugene Vinitsky, Alexandre M. Bayen
2017	—	`conf`	Multi-lane reduction: A stochastic single-lane model for lane changing. ITSC Cathy Wu, Eugene Vinitsky, Aboudy Kreidieh, Alexandre M. Bayen
2016	—	`conf`	Clustering for set partitioning with a case study in ridesharing. ITSC Cathy Wu, Ece Kamar, Eric Horvitz
2016	—	`conf`	Optimizing the diamond lane: A more tractable carpool problem and algorithms. ITSC Cathy Wu, Kalyanaraman Shankari, Ece Kamar, Randy H. Katz, David E. Culler, Christos H. Papadimitriou, Eric Horvitz, Alexandre M. Bayen
2015	—	`conf`	Projected sub-gradient with ℓ1 or simplex constraints via isotonic regression. CDC Jerome Thai, Cathy Wu, Alexey Pozdnukhov, Alexandre M. Bayen