I am Liuyuan Jiang, a PhD student in the Department of Electrical and Computer Engineering at the University of Rochester, advised by Prof. Lisha Chen. Earlier, I was in the Phd program at Rensselaer Polytechnic Institute, advised by Prof. 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
- Sept 2025: Our paper is available! BiRQ: Bi-Level Self-Labeling Random Quantization for Self-Supervised Speech Recognition. Thank all my mentors from IBM and my academic advisors. Great work!
- Sept 2025: Our paper get ACCEPTED by NeurIPS 2025: Beyond Value Functions: Single-Loop Bilevel Optimization under Flatness Conditions. Big thanks to my co-authors and collaborators for their hard work and insights. Looking forward to sharing our ideas with the community this December!
- Sept 2025: Great to meet you in Sicily! I look forward to discussing my recent work at EUSIPCO 2025.
- 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
Publications
[ICASSP 2026 Submission] Liuyuan Jiang, Xiaodong Cui, Brian Kingsbury, Tianyi Chen, Lisha Chen. BiRQ: Bi-Level Self-Labeling Random Quantization for Self-Supervised Speech Recognition, arXiv preprint, 2025.
[NeurIPS 2025 Accepted] Liuyuan Jiang, Quan Xiao, Lisha Chen, Tianyi Chen. Beyond Value Functions: Single-Loop Bilevel Optimization under Flatness Conditions. arXiv preprint, 2025.
[EUSIPCO 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.
[NeurIPS 2024] Liuyuan Jiang, Quan Xiao, Victor M. Tenorio, Fernando Real-Rojas, Antonio G. Marques, Tianyi Chen. A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints. Neural Information Processing Systems (NeurIPS), 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.