| 2026 | GECCO | Budget-aware Algorithm Selection for Black-box Optimization. | Xiao He, Haopu Shang, Bin Zhang, Weiyong Yang, Chao Qian |
| 2025 | GECCO | How to Train Algorithm Selection Models: Insights from Black-box Continuous Optimization. | Xiao He, Haopu Shang, Chao Qian |
| 2025 | ICLR | Offline Model-Based Optimization by Learning to Rank. | Rong-Xi Tan, Ke Xue, Shen-Huan Lyu, Haopu Shang, Yao Wang, Yaoyuan Wang, Sheng Fu, Chao Qian |
| 2025 | ICML | Neural Solver Selection for Combinatorial Optimization. | Chengrui Gao, Haopu Shang, Ke Xue, Chao Qian |
| 2024 | GECCO | Instance-Label Based Multi-Label Active Learning by Evolutionary Multi-Objective Optimization. | Yuheng Zhou, Haopu Shang, Yu-Chang Wu, Chao Qian |
| 2024 | ICML | Confidence-aware Contrastive Learning for Selective Classification. | Yu-Chang Wu, Shen-Huan Lyu, Haopu Shang, Xiangyu Wang, Chao Qian |
| 2024 | IJCAI | Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy. | Chengrui Gao, Haopu Shang, Ke Xue, Dong Li, Chao Qian |
| 2023 | IJCAI | Multi-objective Optimization-based Selection for Quality-Diversity by Non-surrounded-dominated Sorting. | Ren-Jian Wang, Ke Xue, Haopu Shang, Chao Qian, Haobo Fu, Qiang Fu |
| 2022 | IJCAI | Neural Network Pruning by Cooperative Coevolution. | Haopu Shang, Jia-Liang Wu, Wenjing Hong, Chao Qian |
| 2022 | PPSN | Robust Neural Network Pruning by Cooperative Coevolution. | Jia-Liang Wu, Haopu Shang, Wenjing Hong, Chao Qian |
| 2022 | PRICAI | Multi-objective Evolutionary Instance Selection for Multi-label Classification. | Dingming Liu, Haopu Shang, Wenjing Hong, Chao Qian |