Portrait of Wenlu Du

Wenlu Du

Assistant Professor, Computer Science · Skidmore College

I build Reinforcement Learning and Applied AI for high-stakes decisions—AI for Trading / Quantitative Finance, Robotics, and Intelligent Transportation. I welcome motivated students and collaborators.

Reinforcement Learning Traffic Safety Applied AI LLMs Robotics
Join my lab / RA Collaborate Publications CV

Students & Mentorship

I mentor students through independent studies, summer projects, and conference-oriented research. Alumni outcomes and project links are listed on the Students page.

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News & Updates

2026 Jan Our abstract "Exploration of Convolutional LSTM Models Architectures on Stock Market Forecasting" has been accepted for poster presentation at the National Conference on Undergraduate Research (NCUR) 2026.
2025 Apr Our paper "PairUpLight: A Multi-agent Reinforcement Learning Approach for Coordinated Multi-intersection Traffic Signal Control" is accepted to IEEE International Conference on Distributed Computing Systems (ICDCS '25).
2025 Feb I'm honored to be one of five recipients of Skidmore College's Faculty Research Initiative Grant.
2025 Feb Our paper "RAGIC: Risk-Aware Generative Framework for Stock Interval Construction" is accepted to IEEE Transactions on Knowledge and Data Engineering (TKDE '25).
2023 Oct Our paper "Margin Trader: A Reinforcement Learning Framework for Portfolio Management with Margin and Constraints" is accepted to 4th ACM International Conference on AI in Finance (ICAIF '23).
2023 Aug Our paper "Safety in Traffic Management Systems: A Comprehensive Survey" is accepted to Designs 7, no. 4 (2023).
2023 Feb I am pleased to serve as a VP for ACM-W NJIT.
2023 Feb Presented our paper "SafeLight: A Reinforcement Learning Method toward Collision-Free Traffic Signal Control" at AAAI 2023, Washington, DC, USA.
2022 Nov Our paper "SafeLight: A Reinforcement Learning Method toward Collision-free Traffic Signal Control" is accepted to AAAI 2023!
2022 Aug I have successfully defended my proposal on "Reinforcement Learning for Intelligent Transportation Systems".

Selected Publications

SafeLight collision simulation
SafeLight: A Reinforcement Learning Method toward Collision-Free Traffic Signal Control
Wenlu Du, Junyi Ye, Jingyi Gu, Jing Li, Hua Wei, Guiling Wang
In Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI'23)
Paper Code Poster Presentation
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Teaching

I teach courses in computer science at Skidmore College, covering topics from introductory programming to advanced AI and machine learning.

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