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Tian-Li Yu
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2020 – today
- 2021
- [c60]Kei Ohnishi, Daiki Koga, Tian-Li Yu:
Test Problem in Which Bits Used for Fitness Calculation Depend on Bit Pattern. SSCI 2021: 1-9 - 2020
- [c59]Jhih-Wei Chen, Ming-Chun Lu, Tian-Li Yu:
Continuous optimization by hierarchical gaussian mixture with clustering embedded resource allocation. GECCO Companion 2020: 191-192 - [c58]Kei Ohnishi, Shota Ikeda, Tian-Li Yu:
A test problem with difficulty in decomposing into sub-problems for model-based genetic algorithms. GECCO Companion 2020: 221-222 - [i3]Song-Bo Yang, Tian-Li Yu:
Pseudo-Representation Labeling Semi-Supervised Learning. CoRR abs/2006.00429 (2020)
2010 – 2019
- 2019
- [c57]Cheng-Hao Yang, Hou-Teng Cheong, Tian-Li Yu:
Comparison of GAs in black-box scenarios. GECCO (Companion) 2019: 310-311 - [c56]Yi-Yun Liao, Hung-Wei Hsu, Yi-Lin Juang, Tian-Li Yu:
On the investigation of population sizing of genetic algorithms using optimal mixing. GECCO 2019: 820-828 - [c55]Kei Ohnishi, Tomohiro Yoshikawa, Tian-Li Yu:
An intuitive and traceable human-based evolutionary computation system for solving problems in human organizations. GECCO (Companion) 2019: 1457-1464 - 2018
- [c54]Chia-Sheng Chen, Hung-Wei Hsu, Tian-Li Yu:
Fast algorithm for fair comparison of genetic algorithms. GECCO 2018: 913-920 - [c53]Yuen-Jen Lin, Tian-Li Yu:
Investigation of the exponential population scheme for genetic algorithms. GECCO 2018: 975-982 - [i2]Yu-Fan Tung, Tian-Li Yu:
Theoretical Perspective of Convergence Complexity of Evolutionary Algorithms Adopting Optimal Mixing. CoRR abs/1807.09203 (2018) - [i1]Shih-Huan Hsu, Tian-Li Yu:
Optimization by Pairwise Linkage Detection, Incremental Linkage Set, and Restricted / Back Mixing: DSMGA-II. CoRR abs/1807.11669 (2018) - 2017
- [c52]Ping-Lin Chen, Chun-Jen Peng, Chang-Yi Lu, Tian-Li Yu:
Two-edge graphical linkage model for DSMGA-II. GECCO 2017: 745-752 - [c51]Sung-Chi Li, Tian-Li Yu:
Speeding up DSMGA-II on CUDA platform. GECCO 2017: 809-816 - [c50]Jheng-Ying Yu, I-Ting Chen, Tian-Li Yu:
A diversity preservation scheme for DSMGA-II to conquer the hierarchical difficulty. GECCO 2017: 841-848 - 2016
- [c49]Chia-hua Chang, Tian-Li Yu:
Investigation on Parameterless Schemes for DSMGA-II. GECCO (Companion) 2016: 85-86 - 2015
- [c48]Shih-Huan Hsu, Tian-Li Yu
:
Optimization by Pairwise Linkage Detection, Incremental Linkage Set, and Restricted / Back Mixing: DSMGA-II. GECCO 2015: 519-526 - [c47]Yu-Fan Tung, Tian-Li Yu
:
Theoretical Perspective of Convergence Complexity of Evolutionary Algorithms Adopting Optimal Mixing. GECCO 2015: 535-542 - 2014
- [c46]Hsiao-Yu Tung, Wei-Chiu Ma, Tian-Li Yu
:
Novel traffic signal timing adjustment strategy based on Genetic Algorithm. IEEE Congress on Evolutionary Computation 2014: 2353-2360 - [c45]Shih-Ming Wang, Yu-Fan Tung, Tian-Li Yu
:
Investigation on efficiency of optimal mixing on various linkage sets. IEEE Congress on Evolutionary Computation 2014: 2475-2482 - [c44]Yi-En Su, Tian-Li Yu
:
Use model building on discretization algorithms for discrete EDAs To work on real-valued problems. IEEE Congress on Evolutionary Computation 2014: 2491-2498 - 2013
- [j5]Kai-Chun Fan, Tian-Li Yu
, Jui-Ting Lee:
Linkage learning by number of function evaluations estimation: Practical view of building blocks. Inf. Sci. 230: 162-182 (2013) - [c43]Wei-Ming Chen, Chu-Yu Hsu, Tian-Li Yu
, Wei-Che Chien:
Effects of discrete hill climbing on model building forestimation of distribution algorithms. GECCO 2013: 367-374 - [c42]Po-Chun Hsu, Tian-Li Yu
:
A niching scheme for EDAs to reduce spurious dependencies. GECCO 2013: 375-382 - [c41]Shih-Ming Wang, Jie-Wei Wu, Wei-Ming Chen, Tian-Li Yu
:
Design of test problems for discrete estimation of distribution algorithms. GECCO 2013: 407-414 - [c40]Chih-Yuan Chou, Tian-Li Yu
:
Using representative strategies for finding nash equilibria. GECCO 2013: 1133-1140 - [c39]Chung-Yu Shao, Tian-Li Yu
:
Speeding up model building for ECGA on CUDA platform. GECCO 2013: 1197-1204 - 2012
- [c38]Wei-Ming Chen, Chung-Yu Shao, Po-Chun Hsu, Tian-Li Yu
:
A test problem with adjustable degrees of overlap and conflict among subproblems. GECCO 2012: 257-264 - [c37]Hsuan Lee, Tian-Li Yu
:
Off-line building block identification: detecting building blocks directly from fitness without genetic algorithms. GECCO 2012: 641-648 - [c36]Tsung-Yu Ho, Tian-Li Yu
:
A linkage-learning niching in estimation of distribution algorithm. GECCO (Companion) 2012: 649-650 - [c35]Chung-Hsiang Hsueh, Tian-Li Yu
:
Affective content based music video paring system using real coded GA. GECCO (Companion) 2012: 1427-1428 - 2011
- [c34]Luca Bertelli, Tianli Yu
, Diem Vu, Burak Gokturk:
Kernelized structural SVM learning for supervised object segmentation. CVPR 2011: 2153-2160 - [c33]Jen-Hao Chang, Chung-Hsiang Hsueh, Hsuan Lee, Tian-Li Yu
, Tsung-Yu Ho:
A test function with full controllability over overlapping: estimation of distribution algorithms. GECCO (Companion) 2011: 61-62 - [c32]Kai-Chun Fan, Tian-Li Yu
, Jui-Ting Lee:
Interaction detection by NFE estimation: a practical view of building blocks. GECCO (Companion) 2011: 71-72 - [c31]Jui-Ting Lee, Kai-Chun Fan, Tian-Li Yu
:
The essence of real-valued characteristic function for pairwise relation in linkage learning for EDAs. GECCO 2011: 569-576 - 2010
- [c30]Kai-Chun Fan, Jui-Ting Lee, Tian-Li Yu
, Tsung-Yu Ho:
Interaction-detection metric with differential mutual complement for dependency structure matrix genetic algorithm. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c29]Orhan Çamoglu, Tianli Yu
, Luca Bertelli, Diem Vu, Muralidharan V, Salih Gokturk:
An efficient fashion-driven learning approach to model user preferences in on-line shopping scenarios. CVPR Workshops 2010: 28-34 - [c28]Ta-Chun Lien, Tian-Li Yu
, Ying-Shiuan You:
Co-evolution of cooperative strategies under egoism. GECCO 2010: 697-704 - [c27]Ying-Shiuan You, Tian-Li Yu, Ta-Chun Lien:
Psychological preference-based optimization framework on the nurse scheduling problem. GECCO 2010: 1319-1320
2000 – 2009
- 2009
- [j4]Tianli Yu
, Jiebo Luo
, Narendra Ahuja:
Search strategies for shape regularized active contour. Comput. Vis. Image Underst. 113(10): 1053-1063 (2009) - [j3]Tian-Li Yu
, David E. Goldberg, Kumara Sastry, Cláudio F. Lima, Martin Pelikan:
Dependency Structure Matrix, Genetic Algorithms, and Effective Recombination. Evol. Comput. 17(4): 595-626 (2009) - [c26]Si-Cheng Chen, Tian-Li Yu
:
Difficulty of linkage learning in estimation of distribution algorithms. GECCO 2009: 397-404 - [c25]Wei-Kai Lin, Tian-Li Yu
:
Co-evolvability of games in coevolutionary genetic algorithms. GECCO 2009: 1869-1870 - 2008
- [c24]Tian-Li Yu, Wei-Kai Lin:
Optimal sampling of genetic algorithms on polynomial regression. GECCO 2008: 1089-1096 - [c23]Yong Wang, Tianli Yu
, Larry Shi, Zhu Li:
Using human body gestures as inputs for gaming via depth analysis. ICME 2008: 993-996 - [p3]Minqiang Li, David E. Goldberg, Kumara Sastry, Tian-Li Yu
:
Real-Coded ECGA for Solving Decomposable Real-Valued Optimization Problems. Linkage in Evolutionary Computation 2008: 61-86 - 2007
- [j2]Tianli Yu
, Ning Xu, Narendra Ahuja:
Shape and View Independent Reflectance Map from Multiple Views. Int. J. Comput. Vis. 73(2): 123-138 (2007) - [c22]Minqiang Li, David E. Goldberg, Kumara Sastry, Tian-Li Yu
:
Real-coded ECGA for solving decomposable real-valued optimization problems. IEEE Congress on Evolutionary Computation 2007: 2194-2201 - [c21]Tian-Li Yu
, Kumara Sastry, David E. Goldberg, Martin Pelikan:
Population sizing for entropy-based model building in discrete estimation of distribution algorithms. GECCO 2007: 601-608 - [c20]Xavier Llorà, Kumara Sastry, Tian-Li Yu
, David E. Goldberg:
Do not match, inherit: fitness surrogates for genetics-based machine learning techniques. GECCO 2007: 1798-1805 - [c19]Tianli Yu
, Ruei-Sung Lin, Boaz J. Super, Bei Tang:
Efficient Message Representations for Belief Propagation. ICCV 2007: 1-8 - [c18]Minqiang Li, David E. Goldberg, Kumara Sastry, Tian-Li Yu
:
Performance Analyses of Factorization Based on Gaussian PDF In rECGA. ICNC (4) 2007: 362-369 - [p2]Tian-Li Yu
, Kumara Sastry, David E. Goldberg:
Population Sizing to Go: Online Adaptation Using Noise and Substructural Measurements. Parameter Setting in Evolutionary Algorithms 2007: 205-223 - 2006
- [j1]Scott Santarelli, Tian-Li Yu
, David E. Goldberg, Edward E. Altshuler, Teresa O'Donnell, Hugh Southall, Robert Mailloux:
Military antenna design using simple and competent genetic algorithms. Math. Comput. Model. 43(9-10): 990-1022 (2006) - [c17]Tianli Yu
, Narendra Ahuja, Wei-Chao Chen:
SDG Cut: 3D Reconstruction of Non-lambertian Objects Using Graph Cuts on Surface Distance Grid. CVPR (2) 2006: 2269-2276 - [c16]ZhenQiu Zhang, Yuxiao Hu, Tianli Yu
, Thomas S. Huang:
Minimum Variance Estimation of 3D Face Shape from Multi-view. FGR 2006: 547-552 - [c15]Tian-Li Yu, David E. Goldberg:
Conquering hierarchical difficulty by explicit chunking: substructural chromosome compression. GECCO 2006: 1385-1392 - [c14]Tianli Yu, Hongcheng Wang, Narendra Ahuja, Wei-Chao Chen:
Sparse Lumigraph Relighting by Illumination and Reflectance Estimation from Multi-View Images. Rendering Techniques 2006: 41-50 - [c13]Tianli Yu
, Hongcheng Wang, Narendra Ahuja, Wei-Chao Chen:
Sparse lumigraph relighting by illumination and reflectance estimation from multi-view images. SIGGRAPH Sketches 2006: 175 - [p1]Tian-Li Yu
, Scott Santarelli, David E. Goldberg:
Military Antenna Design Using a Simple Genetic Algorithm and hBOA. Scalable Optimization via Probabilistic Modeling 2006: 275-289 - 2005
- [c12]Tian-Li Yu, Kumara Sastry, David E. Goldberg:
Online population size adjusting using noise and substructural measurements. Congress on Evolutionary Computation 2005: 2491-2498 - [c11]Tianli Yu, Jiebo Luo, Narendra Ahuja:
Shape Regularized Active Contour Using Iterative Global Search and Local Optimization. CVPR (2) 2005: 655-662 - [c10]Tian-Li Yu
, Kumara Sastry, David E. Goldberg:
Linkage learning, overlapping building blocks, and systematic strategy for scalable recombination. GECCO 2005: 1217-1224 - [c9]Tianli Yu
, Jiebo Luo, Amit Singhal, Narendra Ahuja:
Shape regularized active contour based on dynamic programming for anatomical structure segmentation. Medical Imaging: Image Processing 2005 - 2004
- [c8]Tianli Yu, Ning Xu, Narendra Ahuja:
Recovering Shape and Reflectance Model of Non-Lambertian Objects from Multiple Views. CVPR (2) 2004: 226-233 - [c7]Tianli Yu, Ning Xu, Narendra Ahuja:
Shape and View Independent Reflectance Map from Multiple Views. ECCV (4) 2004: 602-616 - [c6]Tian-Li Yu, David E. Goldberg:
Dependency Structure Matrix Analysis: Offline Utility of the Dependency Structure Matrix Genetic Algorithm. GECCO (2) 2004: 355-366 - [c5]Tian-Li Yu, David E. Goldberg:
Toward an Understanding of the Quality and Efficiency of Model Building for Genetic Algorithms. GECCO (2) 2004: 367-378 - [c4]Tianli Yu
, Ning Xu, Narendra Ahuja:
Reconstructing a Dynamic Surface from Video Sequences Using Graph Cuts in 4D Space-Time. ICPR (2) 2004: 245-248 - 2003
- [c3]Tian-Li Yu, David E. Goldberg, Kumara Sastry:
Optimal Sampling and Speed-Up for Genetic Algorithms on the Sampled OneMax Problem. GECCO 2003: 1554-1565 - [c2]Tian-Li Yu, David E. Goldberg, Ali Yassine, Ying-Ping Chen:
Genetic Algorithm Design Inspired by Organizational Theory: Pilot Study of a Dependency Structure Matrix Driven Genetic Algorithm. GECCO 2003: 1620-1621 - 2002
- [c1]Tianli Yu, Yujin Zhang:
Summarizing motion contents of the video clip using moving edge overlaid frame (MEOF). Storage and Retrieval for Media Databases 2002: 407-417
Coauthor Index

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