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Zongxu Mu
Zongxu Mu
M.Sc. in Computer Science, University of British Columbia
Zweryfikowany adres z cs.ubc.ca - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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On the empirical time complexity of random 3-SAT at the phase transition
Z Mu, HH Hoos
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
192015
On the empirical scaling of running time for finding optimal solutions to the TSP
Z Mu, J Dubois-Lacoste, HH Hoos, T Stützle
Journal of Heuristics 24 (6), 879-898, 2018
152018
The Impact of Automated Algorithm Configuration on the Scaling Behaviour of State-of-the-Art Inexact TSP Solvers
Z Mu, HH Hoos, T Stützle
International Conference on Learning and Intelligent Optimization, 157-172, 2016
92016
Empirical Scaling Analyser: An Automated System for Empirical Analysis of Performance Scaling
Z Mu, HH Hoos
Proceedings of the Companion Publication of the 2015 Annual Conference on …, 2015
62015
Analysing the empirical time complexity of high-performance algorithms for SAT and TSP
Z Mu
University of British Columbia, 2015
62015
DVS scheduling in a line or a star network of processors
Z Mu, M Li
Journal of Combinatorial Optimization 29 (1), 16-35, 2015
42015
Empirical scaling analyzer: An automated system for empirical analysis of performance scaling
Y Pushak, Z Mu, HH Hoos
AI Communications 33 (2), 93-111, 2020
32020
User Guide ESA v1.
Z Mu, Y Pushak
2017
Computing the maximum similarity tri-clusters of gene expression data
Z Mu
2013
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