Research

• Should humans be in the loop? Human-AI collaboration paradox and automation cliffs.

W. Gu, M. L. Li, and S. Zhu.

Accepted to 2026 INFORMS Manufacturing and Service Operations Management Conference.

Invited to 2026 INFORMS Annual Meeting.

A short version is accepted by 2025 NeurIPS ML×OR Workshop (with Travel Award).

Accepted to the Doctoral Consortium and Poster Section at 2025 EAAMO Conference (with Travel Award).

Accepted to 2025 Workshop on Human-AI Complementarity for Decision Making, NSF AI Institute for Societal Decision Making.

• Multistage adaptive robust optimization for long-term energy infrastructure resilience planning.

W. Gu, S. Chen, S. Zhu, and R. Sioshansi.

Invited to 2026 INFORMS Annual Meeting.

Accepted to 2026 International Conference on Bilevel Optimization.

Invited to 2026 INFORMS Optimization Society Conference.

Accepted to 2026 Doctoral Student Participatory Workshop on Climate and Energy Decision Making.

Accepted to Research Exhibition at 2026 CMU Energy Week.

• Nonlinear complementarity systems for the morning commute problem with ridesharing and dynamic pricing.

W. Gu, H. Gao, M. Zhang, and M. Dessouky.

Invited to 2025 International Conference on Continuous Optimization.

Accepted to 2024 INFORMS Revenue Management and Pricing Conference.

• Generalized traffic equilibrium with ride-hailing and customer waiting.

W. Gu, Q. Ba, M. Dessouky, and J. S. Pang.

Accepted to 2026 INFORMS Transportation Science and Logistics Conference.

Runner Up (Third Place) of the Poster Competition at 2025 YinzOR Conference.

• Deep traffic prediction via private cooperation of new mobility services.

with M. Razaviyayn, M. Dessouky, and others.

• A general coupled morning-evening traffic equilibrium model with rideshare, ride-hailing, and public transit services.

W. Gu, M. Zhang, M. Dessouky, and J. S. Pang.

Transportmetrica A: Transport Science, 2024.

• A general traffic equilibrium framework with ride-hailing services that considers flow-dependent waiting time and public transit.

J. S. Pang, M. Dessouky, and W. Gu.

Technical Report, Pacific Southwest Region, METRANS Transportation Center California, 2024.

• Modeling multi-modal mobility in a coupled morning-evening commute framework that considers deadheading and flexible pooling.

J. S. Pang, M. Zhang, M. Dessouky, and W. Gu.

Technical Report, Pacific Southwest Region, METRANS Transportation Center California, 2023.

• Making HOT lanes benefit every traveler: design, pricing, and analysis.

M. Zhang, M. Dessouky, W. Gu, and H. Gao.

Technical Report, Pacific Southwest Region, METRANS Transportation Center California, 2022.

• Modeling e-hailing and carpooling services in a coupled morning-evening commute framework.

J. S. Pang, M. Zhang, M. Dessouky, and W. Gu.

Technical Report, California Department of Transportation, 2021.

• Plan-based flexible bus bridging operation strategy.

W. Gu, J. Yu, Y. Ji, Y. Zheng, and M. Zhang

Transportation Research Part C: Emerging Technologies, 2019.

• Optimizing tailored bus bridging paths.

W. Gu, J. Yu, Y. Ji, J. van der Gun, A. Pel, M. Zhang, and B. van Arem.

Transportation Research Board Annual Meeting, 2018.

• Optimizing a bus bridging strategy considering efficiency and equity.

Y. Zheng, W. Gu, Y. Ji, and M. Zhang.

Journal of Transportation Systems Engineering and Information Technology, 2018.

• A moments-based characterization of travel time variability and its application in travel time reliability estimation.

W. Gu, X. Xu, C. Yang, and A. Chen.

World Conference on Transport Research, 2016.

• Travel time reliability estimation methods: analytical estimation versus distribution fitting.

W. Gu, X. Xu, C. Yang, and A. Chen.

International Conference of Hong Kong Society for Transportation Studies, 2015.