| 2025 | IJCCI | Genetic Programming with Ranging-Binding Mechanism for Symbolic Regression. | Wen Zhong Fang, Chi-Hsien Chang, Jung-Chun Liu, Tian-Li Yu |
| 2025 | IJCCI | A Constraint-Handling Method for Model-Building Genetic Algorithm: Three-Population Scheme. | Yu-Hao Kao, Chi-Hsien Chang, Tian-Li Yu |
| 2025 | IJCCI | Investigation of Behavioral Cloning Guided Genetic Programming Using a Multilayer Perceptron for Symbolic Regression. | Liang-Wei Lee, Tian-Li Yu |
| 2025 | IJCCI | Novel Discretization Scheme for Multidimensional Split-on-Demand on Real-Valued Optimization with High Multi-modality. | Che-Wei Liang, Tian-Li Yu |
| 2024 | CEC | A Novel Symbolic Regressor Enhancer Using Genetic Programming. | Tu-Chin Chiang, Chi-Hsien Chang, Tian-Li Yu |
| 2024 | CEC | Program Synthesis on Single-Layer Loop Behavior in Pure Functional Programming. | Tzu-Hao Hsu, Chi-Hsien Chang, Tian-Li Yu |
| 2024 | ICLR | Integrating Planning and Deep Reinforcement Learning via Automatic Induction of Task Substructures. | Jung-Chun Liu, Chi-Hsien Chang, Shao-Hua Sun, Tian-Li Yu |
| 2023 | GECCO | Taylor Polynomial Enhancer using Genetic Programming for Symbolic Regression. | Chi-Hsien Chang, Tu-Chin Chiang, Tzu-Hao Hsu, Ting-Shuo Chuang, Wen Zhong Fang, Tian-Li Yu |
| 2023 | GECCO | GP with Ranging-Binding Technique for Symbolic Regression. | Wen Zhong Fang, Chi-Hsien Chang, Jung-Chun Liu, Tian-Li Yu |
| 2023 | GECCO | Relational Bayesian Optimization for Permutation. | Bo-Wei Huang, Wen Zhong Fang, Hsu Chen Liao, Tian-Li Yu |
| 2023 | GECCO | Adaptive Donor Selection Mixing for Multi-objective Optimization: an Enhanced Variant of MO-GOMEA. | Hsu Chen Liao, Wen Zhong Fang, Tian-Li Yu |
| 2022 | GECCO | TAGA: a transfer-based black-box adversarial attack with genetic algorithms. | Liang-Jung Huang, Tian-Li Yu |
| 2022 | GECCO | Trimming, ordering, and similarity check for DSMGA-II: DSMGA-II-TOS. | Ching-Chung Huang, Tian-Li Yu |
| 2022 | GECCO | Improving DSMGA-II performance on hierarchical problems by introducing preservative back mixing. | Chi-Meng Ngai, Tian-Li Yu |
| 2020 | GECCO | Continuous optimization by hierarchical gaussian mixture with clustering embedded resource allocation. | Jhih-Wei Chen, Ming-Chun Lu, Tian-Li Yu |
| 2020 | GECCO | A test problem with difficulty in decomposing into sub-problems for model-based genetic algorithms. | Kei Ohnishi, Shota Ikeda, Tian-Li Yu |
| 2019 | GECCO | On the investigation of population sizing of genetic algorithms using optimal mixing. | Yi-Yun Liao, Hung-Wei Hsu, Yi-Lin Juang, Tian-Li Yu |
| 2019 | GECCO | An intuitive and traceable human-based evolutionary computation system for solving problems in human organizations. | Kei Ohnishi, Tomohiro Yoshikawa, Tian-Li Yu |
| 2019 | GECCO | Comparison of GAs in black-box scenarios. | Cheng-Hao Yang, Hou-Teng Cheong, Tian-Li Yu |
| 2018 | GECCO | Fast algorithm for fair comparison of genetic algorithms. | Chia-Sheng Chen, Hung-Wei Hsu, Tian-Li Yu |
| 2018 | GECCO | Investigation of the exponential population scheme for genetic algorithms. | Yuen-Jen Lin, Tian-Li Yu |
| 2017 | GECCO | Two-edge graphical linkage model for DSMGA-II. | Ping-Lin Chen, Chun-Jen Peng, Chang-Yi Lu, Tian-Li Yu |
| 2017 | GECCO | Speeding up DSMGA-II on CUDA platform. | Sung-Chi Li, Tian-Li Yu |
| 2017 | GECCO | A diversity preservation scheme for DSMGA-II to conquer the hierarchical difficulty. | Jheng-Ying Yu, I-Ting Chen, Tian-Li Yu |
| 2016 | GECCO | Investigation on Parameterless Schemes for DSMGA-II. | Chia-hua Chang, Tian-Li Yu |
| 2015 | GECCO | Optimization by Pairwise Linkage Detection, Incremental Linkage Set, and Restricted / Back Mixing: DSMGA-II. | Shih-Huan Hsu, Tian-Li Yu |
| 2015 | GECCO | Theoretical Perspective of Convergence Complexity of Evolutionary Algorithms Adopting Optimal Mixing. | Yu-Fan Tung, Tian-Li Yu |
| 2014 | CEC | Use model building on discretization algorithms for discrete EDAs To work on real-valued problems. | Yi-En Su, Tian-Li Yu |
| 2014 | CEC | Novel traffic signal timing adjustment strategy based on Genetic Algorithm. | Hsiao-Yu Tung, Wei-Chiu Ma, Tian-Li Yu |
| 2014 | CEC | Investigation on efficiency of optimal mixing on various linkage sets. | Shih-Ming Wang, Yu-Fan Tung, Tian-Li Yu |
| 2013 | GECCO | Effects of discrete hill climbing on model building forestimation of distribution algorithms. | Wei-Ming Chen, Chu-Yu Hsu, Tian-Li Yu, Wei-Che Chien |
| 2013 | GECCO | Using representative strategies for finding nash equilibria. | Chih-Yuan Chou, Tian-Li Yu |
| 2013 | GECCO | A niching scheme for EDAs to reduce spurious dependencies. | Po-Chun Hsu, Tian-Li Yu |
| 2013 | GECCO | Speeding up model building for ECGA on CUDA platform. | Chung-Yu Shao, Tian-Li Yu |
| 2013 | GECCO | Design of test problems for discrete estimation of distribution algorithms. | Shih-Ming Wang, Jie-Wei Wu, Wei-Ming Chen, Tian-Li Yu |
| 2012 | GECCO | A test problem with adjustable degrees of overlap and conflict among subproblems. | Wei-Ming Chen, Chung-Yu Shao, Po-Chun Hsu, Tian-Li Yu |
| 2012 | GECCO | A linkage-learning niching in estimation of distribution algorithm. | Tsung-Yu Ho, Tian-Li Yu |
| 2012 | GECCO | Affective content based music video paring system using real coded GA. | Chung-Hsiang Hsueh, Tian-Li Yu |
| 2012 | GECCO | Off-line building block identification: detecting building blocks directly from fitness without genetic algorithms. | Hsuan Lee, Tian-Li Yu |
| 2011 | CVPR | Kernelized structural SVM learning for supervised object segmentation. | Luca Bertelli, Tian-Li Yu, Diem Vu, Burak Gokturk |
| 2011 | GECCO | A test function with full controllability over overlapping: estimation of distribution algorithms. | Jen-Hao Chang, Chung-Hsiang Hsueh, Hsuan Lee, Tian-Li Yu, Tsung-Yu Ho |
| 2011 | GECCO | Interaction detection by NFE estimation: a practical view of building blocks. | Kai-Chun Fan, Tian-Li Yu, Jui-Ting Lee |
| 2011 | GECCO | The essence of real-valued characteristic function for pairwise relation in linkage learning for EDAs. | Jui-Ting Lee, Kai-Chun Fan, Tian-Li Yu |
| 2010 | CEC | Interaction-detection metric with differential mutual complement for dependency structure matrix genetic algorithm. | Kai-Chun Fan, Jui-Ting Lee, Tian-Li Yu, Tsung-Yu Ho |
| 2010 | CVPR | An efficient fashion-driven learning approach to model user preferences in on-line shopping scenarios. | Orhan amoglu, Tian-Li Yu, Luca Bertelli, Diem Vu, Muralidharan V, Salih Gokturk |
| 2010 | GECCO | Co-evolution of cooperative strategies under egoism. | Ta-Chun Lien, Tian-Li Yu, Ying-Shiuan You |
| 2010 | GECCO | Psychological preference-based optimization framework on the nurse scheduling problem. | Ying-Shiuan You, Tian-Li Yu, Ta-Chun Lien |
| 2009 | GECCO | Difficulty of linkage learning in estimation of distribution algorithms. | Si-Cheng Chen, Tian-Li Yu |
| 2009 | GECCO | Co-evolvability of games in coevolutionary genetic algorithms. | Wei-Kai Lin, Tian-Li Yu |
| 2008 | GECCO | Optimal sampling of genetic algorithms on polynomial regression. | Tian-Li Yu, Wei-Kai Lin |
| 2007 | CEC | Real-coded ECGA for solving decomposable real-valued optimization problems. | Minqiang Li, David E. Goldberg, Kumara Sastry, Tian-Li Yu |
| 2007 | GECCO | Do not match, inherit: fitness surrogates for genetics-based machine learning techniques. | Xavier Llor, Kumara Sastry, Tian-Li Yu, David E. Goldberg |
| 2007 | GECCO | Population sizing for entropy-based model building in discrete estimation of distribution algorithms. | Tian-Li Yu, Kumara Sastry, David E. Goldberg, Martin Pelikan |
| 2007 | ICCV | Efficient Message Representations for Belief Propagation. | Tian-Li Yu, Ruei-Sung Lin, Boaz J. Super, Bei Tang |
| 2007 | ICNC | Performance Analyses of Factorization Based on Gaussian PDF In rECGA. | Minqiang Li, David E. Goldberg, Kumara Sastry, Tian-Li Yu |
| 2006 | CVPR | SDG Cut: 3D Reconstruction of Non-lambertian Objects Using Graph Cuts on Surface Distance Grid. | Tian-Li Yu, Narendra Ahuja, Wei-Chao Chen |
| 2006 | GECCO | Conquering hierarchical difficulty by explicit chunking: substructural chromosome compression. | Tian-Li Yu, David E. Goldberg |
| 2006 | SIGGRAPH | Sparse lumigraph relighting by illumination and reflectance estimation from multi-view images. | Tian-Li Yu, Hongcheng Wang, Narendra Ahuja, Wei-Chao Chen |
| 2005 | CEC | Online population size adjusting using noise and substructural measurements. | Tian-Li Yu, Kumara Sastry, David E. Goldberg |
| 2005 | CVPR | Shape Regularized Active Contour Using Iterative Global Search and Local Optimization. | Tian-Li Yu, Jiebo Luo, Narendra Ahuja |
| 2005 | GECCO | Linkage learning, overlapping building blocks, and systematic strategy for scalable recombination. | Tian-Li Yu, Kumara Sastry, David E. Goldberg |
| 2004 | CVPR | Recovering Shape and Reflectance Model of Non-Lambertian Objects from Multiple Views. | Tian-Li Yu, Ning Xu, Narendra Ahuja |
| 2004 | ECCV | Shape and View Independent Reflectance Map from Multiple Views. | Tian-Li Yu, Ning Xu, Narendra Ahuja |
| 2004 | GECCO | Dependency Structure Matrix Analysis: Offline Utility of the Dependency Structure Matrix Genetic Algorithm. | Tian-Li Yu, David E. Goldberg |
| 2004 | GECCO | Toward an Understanding of the Quality and Efficiency of Model Building for Genetic Algorithms. | Tian-Li Yu, David E. Goldberg |
| 2004 | ICPR | Reconstructing a Dynamic Surface from Video Sequences Using Graph Cuts in 4D Space-Time. | Tian-Li Yu, Ning Xu, Narendra Ahuja |
| 2003 | GECCO | Optimal Sampling and Speed-Up for Genetic Algorithms on the Sampled OneMax Problem. | Tian-Li Yu, David E. Goldberg, Kumara Sastry |
| 2003 | GECCO | Genetic Algorithm Design Inspired by Organizational Theory: Pilot Study of a Dependency Structure Matrix Driven Genetic Algorithm. | Tian-Li Yu, David E. Goldberg, Ali Yassine, Ying-Ping Chen |