I am Liuyuan Jiang, a PhD student in the Department of Electrical and Computer Engineering at the University of Rochester, advised by Dr. Lisha Chen. Earlier, I was in the Phd program at Rensselaer Polytechnic Institute, advised by Dr. Tianyi Chen. With a background in statistics and mathematics, my academic focus lies in the realms of Optimization and Machine Learning.

🔥 Research Interest

My research focuses on bilevel optimization and multi-objective learning, with applications spanning financial pricing models and large language models (LLMs). I am particularly interested in developing efficient algorithms and theoretical insights that bridge the gap between optimization theory and real-world problems, enabling robust decision-making in complex, high-dimensional settings.

📰 News

• Aug 2025: Excited to join the Department of Electrical and Computer Engineering at the University of Rochester, where I will continue my Ph.D. research in Optimization.
• Jul 2025: Our paper is available: Beyond Value Functions: Single-Loop Bilevel Optimization under Flatness Conditions.
• May 2025: I’m joining IBM Research for a summer internship at Thomas J. Watson Research Center in Yorktown Heights, NY, supervised by Dr. Brian Kingsbury, Dr. Xiaodong Cui
• May 2025: Our paper is ACCEPTED by EUSIPCO 2025: Improved Analysis of Penalty-Based Methods for Bilevel Optimization with Coupled Constraints
• Apr 2025: I am honored to be awarded Best Reviewer Award for AISTATS 2025
• Dec 2024: I am presenting my work A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints at NeurIPS 2024. See you in Vancouver
• Sept 2024: Our paper is ACCEPTED by NeurIPS 2024: A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints
• June 2024: Our paper is available: A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints

📝 Publications

Liuyuan Jiang, Quan Xiao, Lisha Chen, Tianyi Chen, “Beyond Value Functions: Single-Loop Bilevel Optimization under Flatness Conditions”, arXiv preprint, 2025

Liuyuan Jiang, Quan Xiao, Tianyi Chen, “Improved Analysis of Penalty-Based Methods for Bilevel Optimization with Coupled Constraints”, 33rd European Signal Processing Conference (EUSIPCO 2025), 2025. Available at: https://cmsworkshops.com/EUSIPCO2025/Papers/Uploads/FinalPapers/PaperNum/1882/20250610085928_504568_1882.pdf

Liuyuan Jiang, Quan Xiao, Victor Tenorio, Fernando Real-Rojas, Antonio Marques, Tianyi Chen, “A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints”, Neural Information Processing Systems 37, 2024

🎖 Honors and Awards

AISTATS 2025 Best Reviewer Award

NeurIPS 2024 scholar award

📖 Educations

• 2025 - 2028 (Exp), PhD student in Electrical & Computer Engineering, University of Rochester.
• 2023 - 2025, PhD student in Computer & System Engineering, Rensselaer Polytechnic Institute
• 2022 - 2023, MPS Applied Statistics, Cornell University
• 2018 - 2022, BSc Financial Mathematics, University of Liverpool

💬 Project Experience

• 2023.01-05 Master’s Capstone Project, Cornell University, Ithaca, NY Assessing Food Security Indicators and Livelihoods of Rural Households in Malawi: A Data Analysis Report for the Catholic Relief Services Project, supervised by Prof. David S. Matteson

💻 Internships

• 2025.05 - 08, Research Intern, IBM Research, Thomas J. Watson Research Center, Yorktown Heights, NY. Project: Speech Understanding and Interaction for Granite Speech. Mentor: Dr. Brian Kingsbury, Dr. Xiaodong Cui
• 2022.06 - 08, Quantitative Analyst Intern, Hudsun Technology, China.