Projected sub-gradient with ℓ1 or simplex constraints via isotonic regression. - Jerome Thai; Cathy Wu 002; Alexey Pozdnukhov; Alexandre M. Bayen (CDC, 2015)

Clustering for set partitioning with a case study in ridesharing. - Cathy Wu 002; Ece Kamar; Eric Horvitz (ITSC, 2016)

Optimizing the diamond lane: A more tractable carpool problem and algorithms. - Cathy Wu 002; Kalyanaraman Shankari; Ece Kamar; Randy H. Katz; David E. Culler; Christos H. Papadimitriou; Eric Horvitz; Alexandre M. Bayen (ITSC, 2016)

Emergent Behaviors in Mixed-Autonomy Traffic. - Cathy Wu 002; Aboudy Kreidieh; Eugene Vinitsky; Alexandre M. Bayen (CoRL, 2017)

Framework for control and deep reinforcement learning in traffic. - Cathy Wu 002; Kanaad Parvate; Nishant Kheterpal; Leah Dickstein; Ankur Mehta; Eugene Vinitsky; Alexandre M. Bayen (ITSC, 2017)

Multi-lane reduction: A stochastic single-lane model for lane changing. - Cathy Wu 002; Eugene Vinitsky; Aboudy Kreidieh; Alexandre M. Bayen (ITSC, 2017)

Flow: Architecture and Benchmarking for Reinforcement Learning in Traffic Control. - Cathy Wu 002; Aboudy Kreidieh; Kanaad Parvate; Eugene Vinitsky; Alexandre M. Bayen (CoRR, 2017)

Benchmarks for reinforcement learning in mixed-autonomy traffic. - Eugene Vinitsky; Aboudy Kreidieh; Luc Le Flem; Nishant Kheterpal; Kathy Jang; Cathy Wu 002; Fangyu Wu 003; Richard Liaw; Eric Liang; Alexandre M. Bayen (CoRL, 2018)

Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines. - Cathy Wu 002; Aravind Rajeswaran; Yan Duan; Vikash Kumar; Alexandre M. Bayen; Sham M. Kakade; Igor Mordatch; Pieter Abbeel (ICLR, 2018)

Stabilizing Traffic with Autonomous Vehicles. - Cathy Wu 002; Alexandre M. Bayen; Ankur Mehta (ICRA, 2018)

Dissipating stop-and-go waves in closed and open networks via deep reinforcement learning. - Abdul Rahman Kreidieh; Cathy Wu 002; Alexandre M. Bayen (ITSC, 2018)

Lagrangian Control through Deep-RL: Applications to Bottleneck Decongestion. - Eugene Vinitsky; Kanaad Parvate; Aboudy Kreidieh; Cathy Wu 002; Alexandre M. Bayen (ITSC, 2018)

Learning and Optimization for Mixed Autonomy Systems - A Mobility Context. - Cathy Wu 002 (2018)

Block Simplex Signal Recovery: Methods, Trade-Offs, and an Application to Routing. - Cathy Wu 002; Alexey Pozdnukhov; Alexandre M. Bayen (IEEE Trans. Intell. Transp. Syst., 2020)

Mixed Autonomous Supervision in Traffic Signal Control. - Vindula Jayawardana; Anna Landler; Cathy Wu 002 (ITSC, 2021)

Piecewise Constant Policies for Human-Compatible Congestion Mitigation. - Mayuri Sridhar; Cathy Wu 002 (ITSC, 2021)

Reinforcement Learning for Mixed Autonomy Intersections. - Zhongxia Yan 001; Cathy Wu 002 (ITSC, 2021)

Learning to delegate for large-scale vehicle routing. - Sirui Li; Zhongxia Yan 001; Cathy Wu 002 (NeurIPS, 2021)

It's Time to Do Something: Mitigating the Negative Impacts of Computing Through a Change to the Peer Review Process. - Brent J. Hecht; Lauren Wilcox; Jeffrey P. Bigham; Johannes Schöning; Ehsan Hoque 001; Jason Ernst; Yonatan Bisk; Luigi De Russis; Lana Yarosh; Bushra Anjum; Danish Contractor; Cathy Wu 002 (CoRR, 2021)

The Third Workshop on Data-driven Intelligent Transportation. - Hua Wei 001; Guni Sharon; Cathy Wu 002; Sanjay Chawla; Zhenhui Li (CIKM, 2022)

Learning Eco-Driving Strategies at Signalized Intersections. - Vindula Jayawardana; Cathy Wu 002 (ECC, 2022)

The Braess's Paradox in Dynamic Traffic. - Dingyi Zhuang; Yuzhu Huang; Vindula Jayawardana; Jinhua Zhao; Dajiang Suo; Cathy Wu 002 (ITSC, 2022)

The Impact of Task Underspecification in Evaluating Deep Reinforcement Learning. - Vindula Jayawardana; Catherine Tang; Sirui Li; Dajiang Suo; Cathy Wu 002 (NeurIPS, 2022)

The Braess Paradox in Dynamic Traffic. - Dingyi Zhuang; Yuzhu Huang; Vindula Jayawardana; Jinhua Zhao; Dajiang Suo; Cathy Wu 002 (CoRR, 2022)

Sociotechnical Specification for the Broader Impacts of Autonomous Vehicles. - Thomas Krendl Gilbert; Aaron J. Snoswell; Michael Dennis 001; Rowan McAllister; Cathy Wu 002 (CoRR, 2022)

Flow: A Modular Learning Framework for Mixed Autonomy Traffic. - Cathy Wu 002; Abdul Rahman Kreidieh; Kanaad Parvate; Eugene Vinitsky; Alexandre M. Bayen (IEEE Trans. Robotics, 2022)

Stabilization Guarantees of Human-Compatible Control via Lyapunov Analysis. - Sirui Li; Roy Dong; Cathy Wu 002 (ECC, 2023)

PeRP: Personalized Residual Policies For Congestion Mitigation Through Co-operative Advisory Systems. - Aamir Hasan 002; Neeloy Chakraborty; Haonan Chen; Jung-Hoon Cho; Cathy Wu 002; Katherine Driggs-Campbell (ITSC, 2023)

Multi-behavior Learning for Socially Compatible Autonomous Driving. - Sanjula Jayawardana; Vindula Jayawardana; Kaneeka Vidanage; Cathy Wu 002 (ITSC, 2023)

Learning to Configure Separators in Branch-and-Cut. - Sirui Li; Wenbin Ouyang; Max B. Paulus; Cathy Wu 002 (NeurIPS, 2023)

Integrated Analysis of Human-compatible Control for Traffic Flow Stability. - Sirui Li; Roy Dong; Cathy Wu 002 (CoRR, 2023)

Towards Co-operative Congestion Mitigation. - Aamir Hasan 002; Neeloy Chakraborty; Cathy Wu 002; Katherine Rose Driggs-Campbell (CoRR, 2023)

Hybrid System Stability Analysis of Multi-Lane Mixed-Autonomy Traffic. - Sirui Li; Roy Dong; Cathy Wu 002 (CoRR, 2023)

Data-Driven Traffic Reconstruction and Kernel Methods for Identifying Stop-and-Go Congestion. - Edgar Ramirez Sanchez; Shreyaa Raghavan; Cathy Wu 002 (CoRR, 2023)

Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy. - Jung-Hoon Cho; Sirui Li; Jeongyun Kim; Cathy Wu 002 (CoRR, 2023)

Unified Automatic Control of Vehicular Systems With Reinforcement Learning. - Zhongxia Yan 001; Abdul Rahman Kreidieh; Eugene Vinitsky; Alexandre M. Bayen; Cathy Wu 002 (IEEE Trans Autom. Sci. Eng., 2023)

Cooperation for Scalable Supervision of Autonomy in Mixed Traffic. - Cameron Hickert; Sirui Li; Cathy Wu 002 (IEEE Trans. Robotics, 2023)

Incentive Design for Eco-driving in Urban Transportation Networks. - M. Umar B. Niazi; Jung-Hoon Cho; Munther A. Dahleh; Roy Dong; Cathy Wu 002 (ECC, 2024)

Neural Neighborhood Search for Multi-agent Path Finding. - Zhongxia Yan 001; Cathy Wu 002 (ICLR, 2024)

Multi-agent Path Finding for Cooperative Autonomous Driving. - Zhongxia Yan 001; Han Zheng; Cathy Wu 002 (ICRA, 2024)

Generalizing Cooperative Eco-driving via Multi-residual Task Learning. - Vindula Jayawardana; Sirui Li; Cathy Wu 002; Yashar Zeiynali Farid; Kentaro Oguchi 001 (ICRA, 2024)

A Data-Informed Analysis of Scalable Supervision for Safety in Autonomous Vehicle Fleets. - Cameron Hickert; Zhongxia Yan 001; Cathy Wu 002 (IROS, 2024)

Scalability of Platoon-based Coordination for Mixed Autonomy Intersections. - Zhongxia Yan 001; Cathy Wu 002 (IROS, 2024)

Multi-agent Path Finding for Mixed Autonomy Traffic Coordination. - Han Zheng; Zhongxia Yan 001; Cathy Wu 002 (IROS, 2024)

Expert with Clustering: Hierarchical Online Preference Learning Framework. - Tianyue Zhou; Jung-Hoon Cho; Babak Rahimi Ardabili; Hamed Tabkhi; Cathy Wu 002 (L4DC, 2024)

Model-Based Transfer Learning for Contextual Reinforcement Learning. - Jung-Hoon Cho; Vindula Jayawardana; Sirui Li; Cathy Wu 002 (NeurIPS, 2024)

What is a typical signalized intersection in a city? A pipeline for intersection data imputation from OpenStreetMap. - Ao Qu; Anirudh Valiveru; Catherine Tang; Vindula Jayawardana; Baptiste Freydt; Cathy Wu 002 (CoRR, 2024)

Cooperative Advisory Residual Policies for Congestion Mitigation. - Aamir Hasan 002; Neeloy Chakraborty; Haonan Chen; Jung-Hoon Cho; Cathy Wu 002; Katherine Rose Driggs-Campbell (CoRR, 2024)

Lessons in Cooperation: A Qualitative Analysis of Driver Sentiments towards Real-Time Advisory Systems from a Driving Simulator User Study. - Aamir Hasan 002; Neeloy Chakraborty; Haonan Chen; Cathy Wu 002; Katherine Driggs-Campbell (CoRR, 2024)

Mitigating Metropolitan Carbon Emissions with Dynamic Eco-driving at Scale. - Vindula Jayawardana; Baptiste Freydt; Ao Qu; Cameron Hickert; Edgar Sanchez; Catherine Tang; Mark Taylor; Blaine Leonard; Cathy Wu 002 (CoRR, 2024)

The Nah Bandit: Modeling User Non-compliance in Recommendation Systems. - Tianyue Zhou; Jung-Hoon Cho; Cathy Wu 002 (CoRR, 2024)

Will Large Language Models be a Panacea to Autonomous Driving? - Yuxuan Zhu 002; Shiyi Wang; Wenqing Zhong; Nianchen Shen; Yunqi Li; Siqi Wang; Zhiheng Li 001; Cathy Wu 002; Zhengbing He; Li Li 013 (CoRR, 2024)

Eco-driving Incentive Mechanisms for Mitigating Emissions in Urban Transportation. - M. Umar B. Niazi; Jung-Hoon Cho; Munther A. Dahleh; Roy Dong; Cathy Wu 002 (CoRR, 2024)

Hybrid System Stability Analysis of Multilane Mixed-Autonomy Traffic. - Sirui Li; Roy Dong; Cathy Wu 002 (IEEE Trans. Robotics, 2024)

Model-Free Learning of Corridor Clearance: A Near-Term Deployment Perspective. - Dajiang Suo; Vindula Jayawardana; Cathy Wu 002 (IEEE Trans. Intell. Transp. Syst., 2024)

Integrated Analysis of Coarse-Grained Guidance for Traffic Flow Stability. - Sirui Li; Roy Dong; Cathy Wu 002 (IEEE Trans. Control. Netw. Syst., 2024)

IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning. - Vindula Jayawardana; Baptiste Freydt; Ao Qu; Cameron Hickert; Zhongxia Yan 001; Cathy Wu 002 (ICLR, 2025)

Towards Foundation Models for Mixed Integer Linear Programming. - Sirui Li; Janardhan Kulkarni; Ishai Menache; Cathy Wu 002; Beibin Li (ICLR, 2025)

Learning-Guided Rolling Horizon Optimization for Long-Horizon Flexible Job-Shop Scheduling. - Sirui Li; Wenbin Ouyang; Yining Ma; Cathy Wu 002 (ICLR, 2025)

NeuralMOVES: A lightweight and microscopic vehicle emission estimation model based on reverse engineering and surrogate learning. - Edgar Ramirez Sanchez; Catherine Tang; Yaosheng Xu; Nrithya Renganathan; Vindula Jayawardana; Zhengbing He; Cathy Wu 002 (CoRR, 2025)

RL2Grid: Benchmarking Reinforcement Learning in Power Grid Operations. - Enrico Marchesini; Benjamin Donnot; Constance Crozier; Ian Dytham; Christian Merz; Lars Schewe; Nico Westerbeck; Cathy Wu 002; Antoine Marot; Priya L. Donti (CoRR, 2025)

Route Recommendations for Traffic Management Under Learned Partial Driver Compliance. - Heeseung Bang; Jung-Hoon Cho; Cathy Wu 002; Andreas A. Malikopoulos (CoRR, 2025)

A Review of Traffic Wave Suppression Strategies: Variable Speed Limit vs. Jam-Absorption Driving. - Zhengbing He; Jorge Laval; Yu Han; Ryosuke Nishi; Cathy Wu 002 (CoRR, 2025)

Reimagining Urban Science: Scaling Causal Inference with Large Language Models. - Yutong Xia; Ao Qu; Yunhan Zheng; Yihong Tang; Dingyi Zhuang; Yuxuan Liang; Cathy Wu 002; Roger Zimmermann; Jinhua Zhao (CoRR, 2025)

Markov Regime-Switching Intelligent Driver Model for Interpretable Car-Following Behavior. - Chengyuan Zhang; Cathy Wu 002; Lijun Sun (CoRR, 2025)

Reinforcement Learning for Robust Advisories Under Driving Compliance Errors. - Jeongyun Kim; Jung-Hoon Cho; Cathy Wu 002 (IEEE Trans. Intell. Transp. Syst., 2025)

Learning to Segment for Vehicle Routing Problems. - Wenbin Ouyang; Sirui Li; Yining Ma; Cathy Wu 002 (CoRR, 2025)

When Context Is Not Enough: Modeling Unexplained Variability in Car-Following Behavior. - Chengyuan Zhang; Zhengbing He; Cathy Wu 002; Lijun Sun (CoRR, 2025)

Multi-residual Mixture of Experts Learning for Cooperative Control in Multi-vehicle Systems. - Vindula Jayawardana; Sirui Li; Yashar Zeiynali Farid; Cathy Wu 002 (CoRR, 2025)

A Roadmap for Climate-Relevant Robotics Research. - Alan Papalia; Charles Dawson 001; Laurentiu L. Anton; Norhan Bayomi; Bianca Champenois; Jung-Hoon Cho; Levi Cai; Joseph DelPreto; Kristen Edwards; Bilha-Catherine Githinji; Cameron Hickert; Vindula Jayawardana; et al. (CoRR, 2025)

Noise-Aware Generative Microscopic Traffic Simulation. - Vindula Jayawardana; Catherine Tang; Junyi Ji; Jonah Philion; Xue Bin Peng; Cathy Wu 002 (CoRR, 2025)