Weighted Constraint Satisfaction Problems with Min-Max Quantifiers. - Jimmy Ho-Man Lee; Terrence W. K. Mak; Justin Yip (ICTAI, 2011)

Consistencies for Ultra-Weak Solutions in Minimax Weighted CSPs Using the Duality Principle. - Arnaud Lallouet; Jimmy Ho-Man Lee; Terrence W. K. Mak (CP, 2012)

A Value Ordering Heuristic for Solving Ultra-Weak Solutions in Minimax Weighted CSPs. - Jimmy Ho-Man Lee; Terrence W. K. Mak (ICTAI, 2012)

Maintaining Soft Arc Consistencies in BnB-ADOPT + during Search. - Patricia Gutierrez; Jimmy Ho-Man Lee; Ka Man Lei; Terrence W. K. Mak; Pedro Meseguer (CP, 2013)

A General Privacy Loss Aggregation Framework for Distributed Constraint Reasoning. - Jimmy Ho-Man Lee; Terrence W. K. Mak; Yuxiang Shi (ICTAI, 2013)

Power system restoration planning with standing phase angle and voltage difference constraints. - Terrence W. K. Mak; Carleton Coffrin; Pascal Van Hentenryck; Ian A. Hiskens; David J. Hill 001 (PSCC, 2014)

Power System Restoration With Transient Stability. - Hassan L. Hijazi; Terrence W. K. Mak; Pascal Van Hentenryck (AAAI, 2015)

Ultra-weak solutions and consistency enforcement in minimax weighted constraint satisfaction. - Arnaud Lallouet; Jimmy Ho-Man Lee; Terrence W. K. Mak; Justin Yip (Constraints An Int. J., 2015)

Efficient dynamic compressor optimization in natural gas transmission systems. - Terrence W. K. Mak; Pascal Van Hentenryck; Anatoly Zlotnik; Hassan L. Hijazi; Russell Bent (ACC, 2016)

A nonlinear optimization model for transient stable line switching. - Terrence W. K. Mak; Pascal Van Hentenryck; Ian A. Hiskens (ACC, 2017)

Privacy-Preserving Obfuscation of Critical Infrastructure Networks. - Ferdinando Fioretto; Terrence W. K. Mak; Pascal Van Hentenryck (IJCAI, 2019)

Privacy-Preserving Obfuscation for Distributed Power Systems. - Terrence W. K. Mak; Ferdinando Fioretto; Pascal Van Hentenryck (CoRR, 2019)

Dynamic Compressor Optimization in Natural Gas Pipeline Systems. - Terrence W. K. Mak; Pascal Van Hentenryck; Anatoly Zlotnik; Russell Bent (INFORMS J. Comput., 2019)

Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods. - Ferdinando Fioretto; Terrence W. K. Mak; Pascal Van Hentenryck (AAAI, 2020)

Lagrangian Duality for Constrained Deep Learning. - Ferdinando Fioretto; Pascal Van Hentenryck; Terrence W. K. Mak; Cuong Tran 007; Federico Baldo; Michele Lombardi 001 (ECML/PKDD (5), 2020)

A Lagrangian Dual Framework for Deep Neural Networks with Constraints. - Ferdinando Fioretto; Terrence W. K. Mak; Federico Baldo; Michele Lombardi 001; Pascal Van Hentenryck (CoRR, 2020)

Bilevel Optimization for Differentially Private Optimization. - Ferdinando Fioretto; Terrence W. K. Mak; Pascal Van Hentenryck (CoRR, 2020)

High-Fidelity Machine Learning Approximations of Large-Scale Optimal Power Flow. - Minas Chatzos; Ferdinando Fioretto; Terrence W. K. Mak; Pascal Van Hentenryck (CoRR, 2020)

Differential Privacy for Power Grid Obfuscation. - Ferdinando Fioretto; Terrence W. K. Mak; Pascal Van Hentenryck (IEEE Trans. Smart Grid, 2020)

Load Embeddings for Scalable AC-OPF Learning. - Terrence W. K. Mak; Ferdinando Fioretto; Pascal Van Hentenryck (CoRR, 2021)

Spatial Network Decomposition for Fast and Scalable AC-OPF Learning. - Minas Chatzos; Terrence W. K. Mak; Pascal Van Hentenryck (CoRR, 2021)

Active Bucketized Learning for ACOPF Optimization Proxies. - Michael Klamkin; Mathieu Tanneau; Terrence W. K. Mak; Pascal Van Hentenryck (CoRR, 2022)

Compact Optimization Learning for AC Optimal Power Flow. - Seonho Park; Wenbo Chen 001; Terrence W. K. Mak; Pascal Van Hentenryck (CoRR, 2023)

Learning Regionally Decentralized AC Optimal Power Flows With ADMM. - Terrence W. K. Mak; Minas Chatzos; Mathieu Tanneau; Pascal Van Hentenryck (IEEE Trans. Smart Grid, 2023)