Tianye Shu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 29

Top Topics

Subset Selection

Guided Local Search

Reinforcement Learning

Top Venues

Publications

Yang Nan, Hisao Ishibuchi, Tianye Shu
Performance Evaluation of Evolutionary Multi-Objective Algorithms Using Real-World Problems with an Additional Total Constraint Violation Objective. CEC (2024)
Cheng Gong, Yang Nan, Tianye Shu, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang
Interactive Final Solution Selection in Multi-Objective Optimization. CEC (2024)
Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang
Analysis of Real-World Constrained Multi-Objective Problems and Performance Comparison of Multi-Objective Algorithms. GECCO (2024)
Ke Shang, Tianye Shu, Hisao Ishibuchi
Learning to Approximate: Auto Direction Vector Set Generation for Hypervolume Contribution Approximation. IEEE Trans. Evol. Comput. 28 (1) (2024)
Tianye Shu, Ke Shang, Cheng Gong, Yang Nan, Hisao Ishibuchi
Learning Pareto Set for Multi-Objective Continuous Robot Control. CoRR (2024)
Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang
Gradient-Guided Local Search for IGD/IGDPlus Subset Selection. GECCO (2024)
Ziqi Wang, Tianye Shu, Jialin Liu
State-Space Closure: Revisiting Endless Online Level Generation via Reinforcement Learning. IEEE Trans. Games 16 (2) (2024)
Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi
Last-X-Generation Archiving Strategy for Multi-Objective Evolutionary Algorithms. CEC (2024)
Ke Shang, Tianye Shu, Guotong Wu, Yang Nan, Lie Meng Pang, Hisao Ishibuchi
Empirical Hypervolume Optimal µ-Distributions on Complex Pareto Fronts. SSCI (2023)
Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi
Analysis of Partition Methods for Dominated Solution Removal from Large Solution Sets. SSCI (2023)
Chengpeng Hu, Ziqi Wang, Tianye Shu, Hao Tong, Julian Togelius, Xin Yao, Jialin Liu
Reinforcement Learning With Dual-Observation for General Video Game Playing. IEEE Trans. Games 15 (2) (2023)
Guotong Wu, Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi
Ensemble R2-based Hypervolume Contribution Approximation. SSCI (2023)
Ke Shang, Tianye Shu, Hisao Ishibuchi, Yang Nan, Lie Meng Pang
Benchmarking large-scale subset selection in evolutionary multi-objective optimization. Inf. Sci. 622 (2023)
Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi
Two-Phase Procedure for Efficiently Removing Dominated Solutions From Large Solution Sets. GECCO (2023)
Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang
Two-Stage Greedy Approximated Hypervolume Subset Selection for Large-Scale Problems. EMO (2023)
Guotong Wu, Tianye Shu, Ke Shang, Hisao Ishibuchi
Normalization in R2-Based Hypervolume and Hypervolume Contribution Approximation. SSCI (2023)
Yang Nan, Tianye Shu, Hisao Ishibuchi
Effects of External Archives on the Performance of Multi-Objective Evolutionary Algorithms on Real-World Problems. CEC (2023)
Yang Nan, Tianye Shu, Hisao Ishibuchi
Two-Stage Lazy Greedy Inclusion Hypervolume Subset Selection for Large-Scale Problem. SMC (2023)
Tianye Shu, Ke Shang, Hisao Ishibuchi, Yang Nan
Effects of Archive Size on Computation Time and Solution Quality for Multiobjective Optimization. IEEE Trans. Evol. Comput. 27 (4) (2023)
Ke Shang, Tianye Shu, Hisao Ishibuchi
Learning to Approximate: Auto Direction Vector Set Generation for Hypervolume Contribution Approximation. CoRR (2022)
Tianye Shu, Ke Shang, Hisao Ishibuchi, Yang Nan
Effects of Archive Size on Computation Time and Solution Quality for Multi-Objective Optimization. CoRR (2022)
Ke Shang, Tianye Shu, Hisao Ishibuchi, Yang Nan, Lie Meng Pang
Benchmarking Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization. CoRR (2022)
Tianye Shu, Ke Shang, Yang Nan, Hisao Ishibuchi
Direction Vector Selection for R2-Based Hypervolume Contribution Approximation. PPSN (2) (2022)
Ziqi Wang, Tianye Shu, Jialin Liu
State Space Closure: Revisiting Endless Online Level Generation via Reinforcement Learning. CoRR (2022)
Tianye Shu, Jialin Liu, Georgios N. Yannakakis
Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study. CoG (2021)
Tianye Shu, Jialin Liu, Georgios N. Yannakakis
Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study. CoRR (2021)
Tianye Shu, Ziqi Wang, Jialin Liu, Xin Yao
A Novel CNet-assisted Evolutionary Level Repairer and Its Applications to Super Mario Bros. CoRR (2020)
Tianye Shu, Ziqi Wang, Jialin Liu, Xin Yao
A Novel CNet-assisted Evolutionary Level Repairer and Its Applications to Super Mario Bros. CEC (2020)
Chengpeng Hu, Ziqi Wang, Tianye Shu, Yang Tao, Hao Tong, Julian Togelius, Xin Yao, Jialin Liu
Robust Reinforcement Learning for General Video Game Playing. CoRR (2020)