| 2026 | FM | FastLEC: Parallel Datapath Equivalence Checking with Hybrid Engines. | Xindi Zhang, Furong Ye, Zhihan Chen, Shaowei Cai |
| 2026 | GECCO | Block-Bench: A Framework for Controllable and Transparent Discrete Optimization Benchmarking. | Furong Ye, Frank Neumann, Thomas Bck, Niki van Stein |
| 2025 | AAAI | Better Understandings and Configurations in MaxSAT Stochastic Local Search Solvers via Anytime Performance Analysis. | Furong Ye, Chuan Luo, Shaowei Cai |
| 2024 | GECCO | What Performance Indicators to Use for Self-Adaptation in Multi-Objective Evolutionary Algorithms. | Furong Ye, Frank Neumann, Jacob de Nobel, Aneta Neumann, Thomas Bck |
| 2024 | IJCCI | Impact of Spatial Transformations on Exploratory and Deep-Learning Based Landscape Features of CEC2022 Benchmark Suite. | Haoran Yin, Diederick Vermetten, Furong Ye, Thomas H. W. Bck, Anna V. Kononova |
| 2024 | KDD | Bi-Objective Contract Allocation for Guaranteed Delivery Advertising. | Yan Li, Yundu Huang, Wuyang Mao, Furong Ye, Xiang He, Zhonglin Zu, Shaowei Cai |
| 2024 | SAT | Enhancing MaxSAT Local Search via a Unified Soft Clause Weighting Scheme. | Yi Chu, Chu-Min Li, Furong Ye, Shaowei Cai |
| 2023 | CEC | Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler. | Frank Neumann, Aneta Neumann, Chao Qian, Anh Viet Do, Jacob de Nobel, Diederick Vermetten, Saba Sadeghi Ahouei, Furong Ye, Hao Wang, Thomas Bck |
| 2023 | FOGA | General Boolean Function Benchmark Suite. | Roman Kalkreuth, Zdenek Vascek, Jakub Husa, Diederick Vermetten, Furong Ye, Thomas Bck |
| 2023 | GECCO | Benchmarking and analyzing iterative optimization heuristics with IOHprofiler. | Carola Doerr, Hao Wang, Diederick Vermetten, Thomas Bck, Jacob de Nobel, Furong Ye |
| 2023 | GECCO | Towards a General Boolean Function Benchmark Suite. | Roman Kalkreuth, Zdenek Vascek, Jakub Husa, Diederick Vermetten, Furong Ye, Thomas Bck |
| 2023 | GECCO | When to be Discrete: Analyzing Algorithm Performance on Discretized Continuous Problems. | Andr Thomaser, Jacob de Nobel, Diederick Vermetten, Furong Ye, Thomas Bck, Anna V. Kononova |
| 2023 | GECCO | Using Affine Combinations of BBOB Problems for Performance Assessment. | Diederick Vermetten, Furong Ye, Carola Doerr |
| 2022 | GECCO | Benchmarking and analyzing iterative optimization heuristics with IOH profiler. | Carola Doerr, Hao Wang, Diederick Vermetten, Thomas Bck, Jacob de Nobel, Furong Ye |
| 2022 | GECCO | IOHanalyzer: Detailed performance analyses for iterative optimization heuristics: hot-off-the-press track @ GECCO 2022. | Hao Wang, Diederick Vermetten, Furong Ye, Carola Doerr, Thomas Bck |
| 2022 | GECCO | Automated configuration of genetic algorithms by tuning for anytime performance: hot-off-the-press track at GECCCO 2022. | Furong Ye, Carola Doerr, Hao Wang, Thomas Bck |
| 2022 | PPSN | Non-elitist Selection Can Improve the Performance of Irace. | Furong Ye, Diederick Vermetten, Carola Doerr, Thomas Bck |
| 2021 | GECCO | Leveraging benchmarking data for informed one-shot dynamic algorithm selection. | Furong Ye, Carola Doerr, Thomas Bck |
| 2020 | PPSN | Benchmarking a (μ +λ ) Genetic Algorithm with Configurable Crossover Probability. | Furong Ye, Hao Wang, Carola Doerr, Thomas Bck |
| 2019 | CEC | Interpolating Local and Global Search by Controlling the Variance of Standard Bit Mutation. | Furong Ye, Carola Doerr, Thomas Bck |
| 2019 | GECCO | Benchmarking discrete optimization heuristics with IOHprofiler. | Carola Doerr, Furong Ye, Naama Horesh, Hao Wang, Ofer M. Shir, Thomas Bck |
| 2018 | GECCO | Towards a theory-guided benchmarking suite for discrete black-box optimization heuristics: profiling (1 + λ) EA variants on onemax and leadingones. | Carola Doerr, Furong Ye, Sander van Rijn, Hao Wang, Thomas Bck |
| 2016 | CEC | Discrete differential evolutionary algorithm for job-shop scheduling problem with minimizing total weighted tardiness. | Furong Ye, Zhen You, Defu Zhang, Stephen C. H. Leung |