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Book Chapter
Zhi-Hua Zhou and
Yang Yu
.
The AdaBoost algorithm
. In: X. Wu and V. Kumar eds.
The Top Ten Algorithms in Data Mining
, Boca Raton, FL: Chapman & Hall, 2009. (
PDF
)
Conference Papers
Yang Yu
, Hong Qian, and Yi-Qi Hu.
Derivative-free optimization via classification
. In:
Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI'16)
, Phoenix, AZ, 2016. (
PDF
) (
Appendix
) (
Code
)
Hong Qian,
Yang Yu
.
Scaling simultaneous optimistic optimization for high-dimensional non-convex functions with low effective dimensions
. In:
Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI'16)
, Phoenix, AZ, 2016. (
PDF
)
Chao Qian,
Yang Yu
and Zhi-Hua Zhou.
Subset selection by Pareto optimization
. In:
Advances in Neural Information Processing Systems 28 (NIPS'15)
, Montreal, Canada, 2015. (
PDF
) (
code
)
Chao Qian,
Yang Yu
and Zhi-Hua Zhou.
On constrained Boolean Pareto optimization
. In:
Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI'15)
, Buenos Aires, Argentina, 2015, pp.389-395. (
PDF
)
Yang Yu
, Chao Qian.
Running time analysis: Convergence-based analysis reduces to switch analysis
. In:
Proceedings of the 2015 IEEE Congress on Evolutionary Computation (CEC'15)
, Sendai, Japan, 2015, pp.2603-2610. (
PDF
)
Chao Qian,
Yang Yu
and Zhi-Hua Zhou.
Pareto ensemble pruning
. In:
Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI'15)
, Austin, TX, 2015, pp.2935-2941.(
PDF
)
Chao Qian,
Yang Yu
, Yaochu Jin and Zhi-Hua Zhou.
On the effectiveness of sampling for evolutionary optimization in noisy environments
. In:
Proceedings of the 13th International Conference on Parallel Problem Solving from Nature (PPSN’14)
, Ljubljana, Slovenia, 2014, pp.302-311. (
PDF
)
Yang Yu
and Qing Da,
PolicyBoost: Functional policy gradient with ranking-based reward objective
. In:
Proceedings of AAAI Workshop on AI and Robotics (AIRob'14)
, Quebec City, Canada, 2014, pp.57-62. (
PDF
)
Yang Yu
, and Hong Qian.
The sampling-and-learning framework: A statistical view of evolutionary algorithms
. In:
Proceedings of the 2014 IEEE Congress on Evolutionary Computation (CEC'14)
, Beijing, China, 2014, pp.149-158. (
PDF
)
Qing Da,
Yang Yu
, and Zhi-Hua Zhou.
Learning with augmented class by exploiting unlabeled data
. In:
Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI'14)
, Québec city, Canada, 2014, pp.1760-1766. (
PDF
)
Qing Da,
Yang Yu
, and Zhi-Hua Zhou.
Napping for functional representation of policy
. In:
Proceedings of the 2014 International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'14)
, Paris, France, 2014, pp.189-196. (
PDF
) (
Code
)
Qing Da,
Yang Yu
, and Zhi-Hua Zhou.
Self-practice imitation learning from weak policy
. In:
Proceedings of the 2nd IAPR International Workshop on Partially Supervised Learning (PSL'13)
, Nanjing, China, 2013, pp.9-20.
Yang Yu
, Xin Yao, and Zhi-Hua Zhou.
On the approximation ability of evolutionary optimization with application to minimum set cover: Extended abstract
. In:
Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI'13)
(Journal Paper Track), Beijing, China, 2013.
Nan Li,
Yang Yu
, and Zhi-Hua Zhou.
Diversity regularized ensemble pruning
. In:
Proceedings of the 23rd European Conference on Machine Learning (ECML'12)
, Bristol, U.K., 2012, pp.330-345. (
PDF
) (
code
)
Chao Qian,
Yang Yu
, and Zhi-Hua Zhou.
On algorithm-dependent boundary case identification for problem classes
. In:
Proceedings of the 12th International Conference on Parallel Problem Solving from Nature (PPSN'12)
Taormina, Italy, 2012, pp.62-71. (
PDF
)
Sheng-Jun Huang,
Yang Yu
, and Zhi-Hua Zhou.
Multi-label hypothesis reuse
. In:
Proceedings of the 18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'12)
, Beijing, China, 2012, pp.525-533. (
PDF
) (
code
)
(The poster presentation won the Best Poster Award at KDD'12)
Sheng-Jun Huang,
Yang Yu
and Zhi-Hua Zhou,
Multi-label boosting via hypothesis reuse
. In:
Proceedings of NIPS Workshop on Chanllenges in Learning Hierarchical Models: Transfer Learning and Optimization
, Granada, Spain 2011.
Wang-Zhou Dai,
Yang Yu
, and Zhi-Hua Zhou.
Lifted-rollout for approximate policy iteration of Markov decision process
. In:
Proceedings of the International Workshop on Learning and Data Mining for Robotics (LEMIR'11)
, in conjunction with ICDM'11, Vancouver, Canada, 2011.
Yang Yu
, Yu-Feng Li, and Zhi-Hua Zhou.
Diversity Regularized Machine
In:
Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI'11)
, Barcelona, Spain, 2011, pp. 1603-1608. (
PDF
) (
code
)
Chao Qian,
Yang Yu
, and Zhi-Hua Zhou.
An analysis on recombination in multi-objective evolutionary optimization
. In:
Proceedings of the 13th ACM Conference on Genetic and Evolutionary Computation (GECCO'11)
, Dublin, Ireland, 2011, pp. 2051-2058. (
PDF
)
(This paper won the Best Paper Award of the Theory Track at GECCO'11)
Chao Qian,
Yang Yu
, and Zhi-Hua Zhou.
Collisions are helpful for computing unique input-output sequences
. In:
Proceedings of the 13th ACM Conference on Genetic and Evolutionary Computation (GECCO'11)
(Companion Material/Poster), Dublin, Ireland, 2011, pp. 265-266. (
PDF
)
Yang Yu
, Chao Qian, and Zhi-Hua Zhou.
Towards analyzing recombination operators in evolutionary search
. In:
Proceedings of the 11th International Conference on Parallel Problem Solving from Nature (PPSN'10)
Part I, Krakow, Poland, 2010, pp.144-153. (
PDF
)
Nan Li,
Yang Yu
, and Zhi-Hua Zhou.
Semi-naive exploitation of one-dependence estimators
. In:
Proceedings of the 9th IEEE International Conference on Data Mining (ICDM'09)
, Miami, FL, 2009, pp.278-287. (
PDF
)
Yang Yu
and Zhi-Hua Zhou.
A framework for modeling positive class expansion with single snapshot
. In:
Proceedings of the 12th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'08)
, Osaka, Japan, LNAI 5012, 2008, pp.429-440. (
PDF
) (
slides
)
(This paper won the Best Paper Award at PAKDD'08)
Yang Yu
and Zhi-Hua Zhou.
On the usefulness of infeasible solutions in evolutionary search: A theoretical study
. In:
Proceedings of the IEEE Congress on Evolutionary Computation (CEC'08)
, Hong Kong, China, 2008, pp.835-840. (
PDF
)
Li-Ping Liu,
Yang Yu
, Yuan Jiang, and Zhi-Hua Zhou.
TEFE: A time-efficient approach to feature extraction
. In:
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM'08)
, Pisa, Italy, 2008, pp.423-432. (
PDF
)
Yang Yu
, Zhi-Hua Zhou, and Kai Ming Ting.
Cocktail ensemble for regression
. In:
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM'07)
, Omaha, NE, 2007, pp.721-726. (
PDF
)
Yang Yu
and Zhi-Hua Zhou.
A new approach to estimating the expected first hitting time of evolutionary algorithms
. In:
Proceedings of the 21st National Conference on Artificial Intelligence (AAAI'06)
, Boston, MA, 2006, pp.555-560. (
PDF
)
Journal Articles
Chao Qian,
Yang Yu
, and Zhi-Hua Zhou.
Analyzing evolutionary optimization in noisy environments
.
Evolutionary Computation
, 2016, in press.
(Preprint PDF)
Yang Yu
, Chao Qian, and Zhi-Hua Zhou.
Switch analysis for running time analysis of evolutionary algorithms
.
IEEE Transactions on Evolutionary Computation
, 2015, 19(6):777-7992.
(Preprint PDF)
Chao Qian,
Yang Yu
, and Zhi-Hua Zhou.
Variable solution structure can be helpful in evolutionary optimization
.
Science China: Information Sciences
, 2015, 58(11): 1-17.
(Preprint PDF)
Chaoli Sun, Yaochu Jin, Jianchao Zeng, and
Yang Yu
.
A two-layer surrogate-assisted particle swarm optimization algorithm
.
Soft Computing
,19(6):1461-1475, 2015.
Chao Qian,
Yang Yu
, and Zhi-Hua Zhou.
An analysis on recombination in multi-objective evolutionary optimization
.
Artificial Intelligence
, 2013, 204:99-119. (Extended from GECCO'11)
(Preprint PDF)
Yang Yu
, Xin Yao, and Zhi-Hua Zhou.
On the approximation ability of evolutionary optimization with application to minimum set cover
.
Artificial Intelligence
, 2012, 180-181:20-33. (
Preprint PDF
) (
CORR abs/1011.4028
)
Yang Yu
and Zhi-Hua Zhou.
A framework for modeling positive class expansion with single snapshot
.
Knowledge and Information Systems
, 2010, 25(2):211-227. (Extended from PAKDD'08) (
Preprint PDF
) (
slides
) (
code&data
)
Yang Yu
and Zhi-Hua Zhou.
A new approach to estimating the expected first hitting time of evolutionary algorithms
.
Artificial Intelligence
, 2008, 172(15): 1809-1832. (Extended from AAAI'06) (
Preprint PDF
)
Fei Tony Liu, Kai Ming Ting,
Yang Yu
, and Zhi-Hua Zhou .
Spectrum of variable-random trees
.
Journal of Artificial Intelligence Research
, 2008, 32:355-384. (
Preprint PDF
)
Yang Yu
, De-Chuan. Zhan, Xu-Ying Liu, Ming Li, and Zhi-Hua Zhou.
Predicting future customers via ensembling gradually expanded trees
.
International Journal of Data Warehousing and Mining
, 2007 3(2): 12-21.
(Invited paper for the PAKDD'06 Data Mining Competition (Open Category) Grand Champion Team)
(
Preprint PDF
)
Zhi-Hua Zhou and
Yang Yu
.
Ensembling local learners through multi-modal perturbation
.
IEEE Transactions on System, Man, And Cybernetics - Part B: Cybernetics
, 2005, 35(4): 725-735. (
Preprint PDF
) (
code
)
Zhi-Hua Zhou and
Yang Yu
.
Adapt bagging to nearest neighbor classifiers
.
Journal of Computer Science and Technology
, 2005, vol.20, no.1 pp.48-54. (
Preprint PDF
) (
detailed result
)
Thesis
Yang Yu
.
Evolutionary Computation: Theoretical Analysis and Learning Algorithms
. Ph.D. Dissertation, 2011.
Yang Yu
.
Local Validity Based Selective Ensemble of Decision Trees
. B.Sc. Thesis, 2004. (in Chinese with English abstract) (
PDF
)
The end