Jiayang Ren
Scholar

Jiayang Ren

Google Scholar ID: V3QBv3cAAAAJ
University of British Columbia
OptimizationMachine learningControl
Citations & Impact
All-time
Citations
149
 
H-index
7
 
i10-index
4
 
Publications
18
 
Co-authors
4
list available
Resume (English only)
Academic Achievements
  • Publications:
  • - Paper on exact learning of linear model predictive control laws using oblique decision trees accepted by the 64th IEEE Conference on Decision and Control (CDC)
  • - Paper on a global optimization algorithm for K-center clustering of one billion samples accepted by Management Science
  • - Paper on hierarchical model predictive control for energy consumption regulation of industrial-scale circulation counter-flow paddy drying process accepted by Energy
  • - Paper on deep learning-based approximation of model predictive control laws using mixture networks accepted by IEEE Transactions on Automation Science and Engineering
  • - Two papers on global optimization of large-scale K-Medoids Clustering and Decision Tree accepted by NeurIPS 2022
  • Awards:
  • - Finalist of CAST Director’s Student Presentation Award in November 2025
  • - Recipient of the Wall Research Award in August 2025
Research Experience
  • Focused on developing advanced optimization algorithms to improve the performance of interpretable machine learning models, with applications in chemical processes, energy, and healthcare. For example, learning interpretable model predictive control laws via oblique decision trees.
Education
  • Currently a PhD candidate at the Department of Chemical and Biological Engineering, University of British Columbia, supervised by Prof. Yankai Cao; obtained Bachelor’s and Master’s degrees in Control Science from Zhejiang University in 2018 and 2021, respectively, under the supervision of Prof. Dong Ni.
Background
  • Research interests include optimization, interpretable machine learning, and control. Expected to graduate in Spring 2026 and actively seeking a postdoc or full-time research position in the fields of interpretable machine learning, optimal control, and reinforcement learning.
Miscellany
  • Contact: rjy12307@outlook.com
  • Address: Chemical & Biological Engineering, 2360 East Mall, Vancouver, BC Canada V6T 1Z3