A full list with citations is on Google Scholar. My name is in bold; * marks co-first authors.
Journal Articles
A Moving-Horizon Approximate Branch-and-Reduce Method for Deep Classification Trees
Transactions on Machine Learning Research (2026).
Continual Learning with Elastic Regularization and Synthetic Replay for Federated MLLM Fine-Tuning
IEEE Journal of Selected Topics in Signal Processing (2026).
A Global Optimization Algorithm for K-Center Clustering of One Billion Samples
Management Science, 72(6): 5106–5130 (2026).
Class-Missing Semi-Supervised Document Key Information Extraction via Synergistic Refinement Estimation
Information Processing & Management, 63(1): 104335 (2026).
Hierarchical Model Predictive Control for Energy Consumption Regulation of Industrial-Scale Circulation Counter-Flow Paddy Drying Process
Energy, 321: 135431 (2025).
* Co-first authors
Deep Learning-Based Approximation of Model Predictive Control Laws Using Mixture Networks
IEEE Transactions on Automation Science and Engineering, 22: 2909–2922 (2024).
Deep-Learning-Based Predictive Control of Battery Management for Frequency Regulation
Industrial & Engineering Chemistry Research, 61(24): 8432–8442 (2022).
A Real-Time Monitoring Framework for Wafer Fabrication Processes with Run-to-Run Variations
IEEE Transactions on Semiconductor Manufacturing, 34(4): 483–492 (2021).
A Batch-Wise LSTM-Encoder Decoder Network for Batch Process Monitoring
Chemical Engineering Research and Design, 164: 102–112 (2020).
Machine Learning Conferences
Differentiable Decision Tree via “ReLU+Argmin” Reformulation
Advances in Neural Information Processing Systems, 38: 166874–166909 (2025).
PAPM: A Physics-Aware Proxy Model for Process Systems
International Conference on Machine Learning, PMLR 235: 31080–31105 (2024).
Global Optimal K-Medoids Clustering of One Million Samples
Advances in Neural Information Processing Systems, 35: 982–994 (2022).
A Scalable Deterministic Global Optimization Algorithm for Training Optimal Decision Tree
Advances in Neural Information Processing Systems, 35: 8347–8359 (2022).
Global Optimization of K-Center Clustering
International Conference on Machine Learning, PMLR 162: 19956–19966 (2022).
Control and Process Systems Engineering Conferences
Fast, High-Performance, and Interpretable Quadcopter Control Using Decision Trees
23rd IFAC World Congress (2026).
Interpretable Reinforcement Learning for Multi-Loop Adaptive PID Control
23rd IFAC World Congress (2026).
Exact Learning of Linear Model Predictive Control Laws Using Oblique Decision Trees with Linear Predictions
64th IEEE Conference on Decision and Control, pp. 7018–7023 (2025).
Interpretable Data-Driven Capacity Estimation of Lithium-Ion Batteries
12th IFAC Symposium on Advanced Control of Chemical Processes, IFAC-PapersOnLine 58(14): 139–144 (2024).
Global Optimal Explainable Models for Biorefining
33rd European Symposium on Computer Aided Process Engineering, Computer Aided Chemical Engineering 52: 1339–1346 (2023).
Real-Time Fault Detection System for Multiphase Plasma Etching Process Using OES, Two-Step Division and Change Stage Alignment Method
Chinese Automation Congress, pp. 599–604 (2019).
Software & Patents
MHDETrees.jl: Moving-Horizon Differential Evolution for Optimal Classification and Regression Trees
Open-source Julia package, MIT License (2026).
A Real-Time Measurement Method and Device for the Spatial Distribution of Plasma Components Based on Spectral Imaging
Chinese Invention Patent, CN108982378B, granted 30 June 2020 (2020).