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ORCIDTian-Li Yu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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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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