Terrence W. K. Mak
Person information
- affiliation: NICTA CRL, Canberra, Australia
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2010 – today
- 2019
- [i1]Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck:
Differential Privacy for Power Grid Obfuscation. CoRR abs/1901.06949 (2019) - 2017
- [c9]Terrence W. K. Mak, Pascal Van Hentenryck, Ian A. Hiskens:
A nonlinear optimization model for transient stable line switching. ACC 2017: 2085-2092 - 2016
- [c8]Terrence W. K. Mak, Pascal Van Hentenryck, Anatoly Zlotnik, Hassan L. Hijazi, Russell Bent:
Efficient dynamic compressor optimization in natural gas transmission systems. ACC 2016: 7484-7491 - 2015
- [j1]Arnaud Lallouet, Jimmy Ho-Man Lee, Terrence W. K. Mak, Justin Yip:
Ultra-weak solutions and consistency enforcement in minimax weighted constraint satisfaction. Constraints 20(2): 109-154 (2015) - [c7]Hassan L. Hijazi, Terrence W. K. Mak, Pascal Van Hentenryck:
Power System Restoration With Transient Stability. AAAI 2015: 658-664 - 2014
- [c6]Terrence W. K. Mak, Carleton Coffrin, Pascal Van Hentenryck, Ian A. Hiskens, David J. Hill:
Power system restoration planning with standing phase angle and voltage difference constraints. PSCC 2014: 1-8 - 2013
- [c5]Patricia Gutierrez, Jimmy Ho-Man Lee, Ka Man Lei, Terrence W. K. Mak, Pedro Meseguer:
Maintaining Soft Arc Consistencies in BnB-ADOPT + during Search. CP 2013: 365-380 - [c4]Jimmy Ho-Man Lee, Terrence W. K. Mak, Yuxiang Shi:
A General Privacy Loss Aggregation Framework for Distributed Constraint Reasoning. ICTAI 2013: 979-986 - 2012
- [c3]Arnaud Lallouet, Jimmy Ho-Man Lee, Terrence W. K. Mak:
Consistencies for Ultra-Weak Solutions in Minimax Weighted CSPs Using the Duality Principle. CP 2012: 373-389 - [c2]Jimmy Ho-Man Lee, Terrence W. K. Mak:
A Value Ordering Heuristic for Solving Ultra-Weak Solutions in Minimax Weighted CSPs. ICTAI 2012: 17-24 - 2011
- [c1]Jimmy Ho-Man Lee, Terrence W. K. Mak, Justin Yip:
Weighted Constraint Satisfaction Problems with Min-Max Quantifiers. ICTAI 2011: 769-776
Coauthor Index
last updated on 2019-02-13 21:47 CET by the dblp team
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