Journal publications

[5] Flow: Architecture and Benchmarking for Reinforcement Learning in Traffic Control
Cathy Wu, Aboudy Kreidieh, Kanaad Parvate, Eugene Vinitsky, Alexandre Bayen
IEEE Transactions on Robotics (T-RO). In review.
arXiv / videos / github / project page

[4] Optimizing the diamond lane: A more tractable carpool problem and algorithms
Cathy Wu, K. Shankari, Ece Kamar, Randy Katz, David Culler, Christos Papadimitriou, Eric Horvitz, Alexandre Bayen
IEEE Transactions on Automation Science and Engineering (T-ASE). In review.

[3] Block simplex signal recovery: a method comparison and an application to routing
Cathy Wu, Alexei Pozdnoukhov, Alexandre Bayen
IEEE Transactions on Intelligent Transportation Systems (T-ITS). To appear.

[2] Link Density Inference from Cellular Infrastructure
Steve Yadlowsky, Jerome Thai, Cathy Wu, Alexei Pozdnoukhov, Alexandre Bayen
Transportation Research Record (TRR), 2015.
journal / pdf

[1] Cellpath: fusion of cellular and traffic sensor data for route flow estimation via convex optimization
Cathy Wu, Jerome Thai, Steve Yadlowsky, Alexei Pozdnoukhov, Alexandre Bayen
Transportation Research: Part C, 2015.
journal / pdf / github (system) / github (algorithm)


Conference publications

[13] Dissipating stop-and-go waves in closed and open networks via deep reinforcement learning
Aboudy Kreidieh, Cathy Wu, Alexandre Bayen
IEEE Intelligent Transportation Systems Conference (ITSC), 2018.

[12] Lagrangian Control through Deep-RL: Applications to Bottleneck Decongestion
Eugene Vinitsky, Kanaad Parvate, Abdul Rahman Kreidieh, Cathy Wu, Alexandre Bayen
IEEE Intelligent Transportation Systems Conference (ITSC), 2018.

[11] Benchmarks for reinforcement learning in mixed-autonomy traffic
Eugene Vinitsky*, Aboudy Kreidieh*, Luc Le Flem, Nishant Kheterpal, Kathy Jang, Cathy Wu, Fangyu Wu, Richard Liaw, Eric Liang, and Alexandre M. Bayen.
Conference on Robot Learning (CoRL), 2018.

[10] Variance Reduction for Policy Gradient Using Action-Dependent Factorized Baselines
Cathy Wu, Aravind Rajeswaran, Yan Duan, Vikash Kumar, Alexandre M Bayen, Sham Kakade, Igor Mordatch, Pieter Abbeel
International Conference on Learning Representations (ICLR), 2018. Oral (2%).
Deep Reinforcement Learning Symposium (NIPS), 2017. Contributed talk.
arXiv / OpenReview

[9] Stabilizing traffic with autonomous vehicles
Cathy Wu, Alexandre Bayen, Ankur Mehta
International Conference on Robotics and Automation (ICRA), 2018.
proceedings / talk video

[8] Emergent behaviors in mixed-autonomy traffic
Cathy Wu, Aboudy Kreidieh, Eugene Vinitsky, Alexandre Bayen
Conference on Robot Learning (CoRL), 2017.
proceedings / pdf

[7] Framework for Control and Deep Reinforcement Learning in Traffic
Cathy Wu, Kanaad Parvate, Nishant Kheterpal, Leah Dickstein, Ankur Mehta, Eugene Vinitsky, Alexandre Bayen
IEEE Intelligent Transportation Systems Conference (ITSC), 2017.
proceedings

[6] Multi-lane Reduction: A Stochastic Single-lane Model for Lane Changing
Cathy Wu, Eugene Vinitsky, Abdul Kreidieh, Alexandre Bayen
IEEE Intelligent Transportation Systems Conference (ITSC), 2017.
proceedings

[5] Clustering for Set Partitioning with a Case Study in Ridesharing
Cathy Wu, Ece Kamar, Eric Horvitz
IEEE Intelligent Transportation Systems Conference (ITSC), 2016. Best paper award.
proceedings / pdf

[4] Optimizing the diamond lane: A more tractable carpool problem and algorithms
Cathy Wu, K. Shankari, Ece Kamar, Randy Katz, David Culler, Christos Papadimitriou, Eric Horvitz, Alexandre Bayen
IEEE Intelligent Transportation Systems Conference (ITSC), 2016.
proceedings / pdf

[3] Convex programming on the l1-ball and on the simplex via isotonic regression
Jerome Thai, Cathy Wu, Alexei Pozdnoukhov, Alexandre Bayen
Conference on Decision and Control (CDC), 2015.
proceedings / pdf

[2] Cellpath: fusion of cellular and traffic sensor data for route flow estimation via convex optimization
Cathy Wu, Jerome Thai, Steve Yadlowsky, Alexei Pozdnoukhov, Alexandre Bayen
International Symposium on Transportation and Traffic Theory (ISTTT), 2015. Oral (14%).
proceedings / pdf

[1] Link Density Inference from Cellular Infrastructure
Steve Yadlowsky, Jerome Thai, Cathy Wu, Alexei Pozdnoukhov, Alexandre Bayen
Transportation Research Board (TRB) Annual Meeting, 2015.
proceedings / pdf


Theses

[2] Learning and Optimization for Mixed Autonomy Systems – A Mobility Context
Cathy Wu
PhD, Electrical Engineering and Computer Sciences, UC Berkeley, 2018.
pdf

[1] GPSZip: Semantic Representation and Compression System for GPS using Coresets
Cathy Wu
Master of Engineering, Electrical Engineering and Computer Science, MIT, 2013.


General audience articles

[3] It’s Time to Do Something: Mitigating the Negative Impacts of Computing Through a Change to the Peer Review Process.
Brent 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
ACM Future of Computing Academy Blog, 2018.
full article

[2] Traffic Jammin’: Making automated transportation a reality
Cathy Wu
Berkeley Science Review, 2016.
full article

[1] Automating us: The entanglement of people and machines
Daniel Aranki*, Roel Dobbe*, Jaime F. Fisac*, and Cathy Wu*
Berkeley Science Review, 2015.
full article


In the press

[3] ITS Announced Award Winners. Berkeley ITS, Apr 2017 [press release]

[2] Cathy Wu Selected as Rising Star. Berkeley ITS, Sept 2016 [press release]

[1] AT&T will improve your morning commute. AT&T press release, Sept 2015 [press release]


Selected talks

Integrating Autonomy into Transportation Systems
Global Collaborations to Enable Transnational Cyberinfrastructure Applications (CENTRA) Webinar. January 2019. Invited talk.

Reinforcement Learning for Mixed Autonomy Traffic
O’Reilly Artificial Intelligence Conference. September 2018. Invited talk.

Mixed-Autonomy Mobility: Scalable Learning and Optimization
Microsoft Research AI, 2018.
BAIR/CPAR/BDD (Berkeley Artificial Intelligence Research, CITRIS People & Robots and Berkeley DeepDrive) Seminar, 2018.

Simulation and HPC for Mixed-Autonomy Mobility
International Supercomputing Conference (ISC), 2018. Distinguished talk.

Variance Reduction for Scalable Learning and Mixed-Autonomy Traffic
Google Brain, 2018. Invited talk.

Reinforcement Learning for Mixed-Autonomy Traffic
UC Berkeley RISElab Retreat, 2018. Invited talk.

Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines
OpenAI, 2017.

Flow: Computational Framework for Deep RL and Traffic Microsimulation
SidewalkLabs, Alphabet, 2017. Invited talk.

Reinforcement Learning for Mixed-Autonomy Traffic
IEEE General Meeting, UC Berkeley, 2017. Invited talk. [slides]

Reinforcement Learning for Mixed-Autonomy Traffic
NSF Foundations Of Resilient CybEr-physical Systems (FORCES), Annual Meeting, UC Berkeley, 2017.

Mixed-Autonomy Traffic
IEEE Leaders Summit, 2017. Invited talk. [slides]

Towards Energy Minimization of Mixed-Autonomy Traffic via Control Theory and Reinforcement Learning
California Partners for Advanced Transportation Technology (PATH), UC Berkeley, 2016.

Cellpath: State Estimation of Traffic Networks via Convex Optimization
Distributed Robotics Lab, CSAIL, MIT, 2016.
Resilient Infrastructure Networks Lab, CEE, MIT, 2016.

Randomization for Ridesharing
Uber, 2015.

Cellpath: State Estimation of Static Traffic Networks via Convex Optimization
Women in Computer Science & Electrical Engineering (WISCE), Berkeley-Stanford Meetup, 2015. Invited talk. [slides]

Convex optimization for traffic assignment
AT&T, 2014.
Verizon, 2014.


Workshops

[8] Clustering for set partitioning: a case study in carpooling
Cathy Wu, Ece Kamar, Eric Horvitz
Poster, Neural Information Processing Systems (NIPS), Workshop on Optimization for Machine Learning (OPT), 2015.

[7] Clustering for set partitioning: a case study in carpooling
Cathy Wu, Ece Kamar, Eric Horvitz
Poster, Women in Machine Learning (WiML) Workshop, 2015.

[6] Smart City Disaster Resilience
Nina Mahmoudian*, Zofia Rybkowski*, Iris Tien*, Jiankang Wang*, Cathy Wu*
Presentation, Cyber-Physical Systems Week (CPS Week), NSF Early-Career Investigators Workshop on Cyber-Physical Systems in Smart Cities, 2015.

[5] Closing the loop for control of cyber-physical networks
Cathy Wu
Poster, Cyber-Physical Systems Week (CPS Week), NSF Early-Career Investigators Workshop on Cyber-Physical Systems in Smart Cities, 2015.

[4] Solving simplex-constrained programs with efficient projections via isotonic regression and application to traffic estimation
Jerome Thai*, Cathy Wu*
Poster, BayLearn: Bay Area Machine Learning Symposium, 2014.

[3] Convex optimization for traffic estimation: Efficient projected QP with ordered constraints for route assignment
Cathy Wu, Jerome Thai, Steve Yadlowsky, Alexei Pozdnoukhov, Alexandre Bayen
Poster, Transportation Research Board (TRB), Integrated Corridor Transportation Management System Workshop (ICTM), 2014.

[2] Convex optimization for Traffic Estimation: Towards Autonomous Mobility-on-Demand
Cathy Wu
Poster, Cyber-Physical Systems Week (CPS Week), NSF Young Professionals Workshop on Exploring New Frontiers in Cyber-Physical Systems, 2014.

[1] Using Coresets for Map Making for Long-term Operation of Robots
Cathy Wu, Dan Feldman, Cynthia Sung, Daniela Rus
Accepted talk, International Conference on Robotics and Automation (ICRA), Workshop on Long-Term Autonomy: Navigation and Mapping for Real-World Applications, 2013.


Technical reports

[8] Using the diamond lane: a more tractable carpool problem and algorithms
Cathy Wu and K. Shankari, June 2016.

[7] Sparse Linear Algebra on Modern Data Processing Systems
Cathy Wu and Philipp Moritz, May 2016.

[6] Online taxi pre-dispatch
Cathy Wu, May 2015.

[5] Nash equilibria in congestion games: a measure theoretic model
Cathy Wu and Walid Krichene, Dec 2014.

[4] Bayesian inference for traffic assignment
Cathy Wu, May 2014.

[3] Convex optimization for traffic estimation: Efficient projected QP with ordered constraints for route assignment
Cathy Wu*, Jerome Thai*, May 2014.

[2] Compressed Sensing for Traffic Network
Philipp Moritz*, Richard Shin*, Cathy Wu*, Fanny Yang*, Dec 2013.

[1] How to Lead a Technical Reading Group
Cathy Wu, Oct 2012.
pdf


*equal contribution