Publications

Contents
  1. Journal Articles
  2. Machine Learning Conferences
  3. Control and Process Systems Engineering Conferences
  4. Software & Patents

A full list with citations is on Google Scholar. My name is in bold; * marks co-first authors.

Journal Articles

TMLR 2026

A Moving-Horizon Approximate Branch-and-Reduce Method for Deep Classification Trees

Zou, C., Ren, J., Mao, Q., Liu, J., Lai, M., and Cao, Y.

Transactions on Machine Learning Research (2026).

J2C CertificationPDFOpenReview
IEEE JSTSP 2026

Continual Learning with Elastic Regularization and Synthetic Replay for Federated MLLM Fine-Tuning

Liu, J., Zou, C., Ren, J., Fang, G., Li, C., Wang, Y., Ma, Z., and Hu, B.

IEEE Journal of Selected Topics in Signal Processing (2026).

DOI
ESWA 2026

A Moving-Horizon Differential Evolution Algorithm for Training Deep Classification Trees on Large Datasets

Ren, J., Osuna-Enciso, V., and Cao, Y.

Expert Systems with Applications, 333(B): 133846 (2026).

Manag. Sci. 2026

A Global Optimization Algorithm for K-Center Clustering of One Billion Samples

Ren, J., You, N., Hua, K., Ji, C., and Cao, Y.

Management Science, 72(6): 5106–5130 (2026).

DOI
IP&M 2026

Class-Missing Semi-Supervised Document Key Information Extraction via Synergistic Refinement Estimation

Guo, P., Song, Y., Wang, B., Cao, Y., Ren, J., Ji, C., Liu, J., Zhang, Q., and Mao, Q.

Information Processing & Management, 63(1): 104335 (2026).

DOI
Energy 2025

Hierarchical Model Predictive Control for Energy Consumption Regulation of Industrial-Scale Circulation Counter-Flow Paddy Drying Process

Li, C.*, Ren, J.*, Seth, A., Zhang, Y., Huang, J., Li, C., and Cao, Y.

Energy, 321: 135431 (2025).

* Co-first authors

DOI
IEEE T-ASE 2024

Deep Learning-Based Approximation of Model Predictive Control Laws Using Mixture Networks

Okamoto, M., Ren, J., Mao, Q., Liu, J., and Cao, Y.

IEEE Transactions on Automation Science and Engineering, 22: 2909–2922 (2024).

DOI
I&EC Res. 2022

Deep-Learning-Based Predictive Control of Battery Management for Frequency Regulation

Li, Y., Wang, Y., Chen, Y., Lu, Y., Hua, K., Ren, J., Mozafari, G., Lu, Q., and Cao, Y.

Industrial & Engineering Chemistry Research, 61(24): 8432–8442 (2022).

DOI
IEEE TSM 2021

A Real-Time Monitoring Framework for Wafer Fabrication Processes with Run-to-Run Variations

Ren, J., and Ni, D.

IEEE Transactions on Semiconductor Manufacturing, 34(4): 483–492 (2021).

DOI
CHERD 2020

A Batch-Wise LSTM-Encoder Decoder Network for Batch Process Monitoring

Ren, J., and Ni, D.

Chemical Engineering Research and Design, 164: 102–112 (2020).

DOI

Machine Learning Conferences

NeurIPS 2025

Differentiable Decision Tree via “ReLU+Argmin” Reformulation

Mao, Q., Ren, J., Wang, Y., Zou, C., Zheng, J., and Cao, Y.

Advances in Neural Information Processing Systems, 38: 166874–166909 (2025).

Spotlight (top 3%)PDFOpenReview
ICML 2024

PAPM: A Physics-Aware Proxy Model for Process Systems

Liu, P., Hao, Z., Ren, X., Yuan, H., Ren, J., and Ni, D.

International Conference on Machine Learning, PMLR 235: 31080–31105 (2024).

NeurIPS 2022

Global Optimal K-Medoids Clustering of One Million Samples

Ren, J., Hua, K., and Cao, Y.

Advances in Neural Information Processing Systems, 35: 982–994 (2022).

NeurIPS 2022

A Scalable Deterministic Global Optimization Algorithm for Training Optimal Decision Tree

Hua, K., Ren, J., and Cao, Y.

Advances in Neural Information Processing Systems, 35: 8347–8359 (2022).

Best Theoretical Paper, INFORMS Data Mining WorkshopPDFProceedings
ICML 2022

Global Optimization of K-Center Clustering

Shi, M., Hua, K., Ren, J., and Cao, Y.

International Conference on Machine Learning, PMLR 162: 19956–19966 (2022).

Control and Process Systems Engineering Conferences

IFAC WC 2026

Fast, High-Performance, and Interpretable Quadcopter Control Using Decision Trees

Ren, J., Juang, M.-H., Zhao, T., and Cao, Y.

23rd IFAC World Congress (2026).

IFAC WC 2026

Interpretable Reinforcement Learning for Multi-Loop Adaptive PID Control

Zhao, T., Ren, J., Zou, C., Yang, Y., Cao, Y., and Gopaluni, R.B.

23rd IFAC World Congress (2026).

IEEE CDC 2025

Exact Learning of Linear Model Predictive Control Laws Using Oblique Decision Trees with Linear Predictions

Ren, J., Mao, Q., Zhao, T., and Cao, Y.

64th IEEE Conference on Decision and Control, pp. 7018–7023 (2025).

DOI
ADCHEM 2024

Interpretable Data-Driven Capacity Estimation of Lithium-Ion Batteries

Wang, Y., Kumar, A., Ren, J., You, P., Seth, A., Gopaluni, R.B., and Cao, Y.

12th IFAC Symposium on Advanced Control of Chemical Processes, IFAC-PapersOnLine 58(14): 139–144 (2024).

DOI
ESCAPE 2023

Global Optimal Explainable Models for Biorefining

Ren, J., Hua, K., Trajano, H., and Cao, Y.

33rd European Symposium on Computer Aided Process Engineering, Computer Aided Chemical Engineering 52: 1339–1346 (2023).

DOI
CAC 2019

Real-Time Fault Detection System for Multiphase Plasma Etching Process Using OES, Two-Step Division and Change Stage Alignment Method

Ren, J., and Ni, D.

Chinese Automation Congress, pp. 599–604 (2019).

DOI

Software & Patents

Software

MHDETrees.jl: Moving-Horizon Differential Evolution for Optimal Classification and Regression Trees

Ren, J., Osuna-Enciso, V., and Cao, Y.

Open-source Julia package, MIT License (2026).

GitHub
Patent

A Real-Time Measurement Method and Device for the Spatial Distribution of Plasma Components Based on Spectral Imaging

Ni, D., Zhu, F., and Ren, J.

Chinese Invention Patent, CN108982378B, granted 30 June 2020 (2020).