| 2026 | GECCO | Landscape-aware Automated Algorithm Design: An Efficient Framework for Real-world Optimization. | Haoran Yin, Shuaiqun Pan, Zhao Wei, Jian Cheng Wong, Yew-Soon Ong, Anna Kononova, Thomas Bck, Niki van Stein |
| 2026 | SIGIR | Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning. | Jujia Zhao, Zihan Wang, Shuaiqun Pan, Suzan Verberne, Zhaochun Ren |
| 2025 | CEC | Transfer Learning of Surrogate Models via Domain Affine Transformation Across Synthetic and Real-World Benchmarks. | Shuaiqun Pan, Diederick Vermetten, Manuel Lpez-Ibez, Thomas Bck, Hao Wang |
| 2025 | GECCO | Evolving Hard Maximum Cut Instances for Quantum Approximate Optimization Algorithms. | Shuaiqun Pan, Yash J. Patel, Aneta Neumann, Frank Neumann, Thomas Bck, Hao Wang |
| 2025 | GECCO | Transfer Learning of Surrogate Models: Integrating Domain Warping and Affine Transformations. | Shuaiqun Pan, Diederick Vermetten, Manuel Lpez-Ibez, Thomas Bck, Hao Wang |
| 2024 | GECCO | Transfer Learning of Surrogate Models via Domain Affine Transformation. | Shuaiqun Pan, Diederick Vermetten, Manuel Lpez-Ibez, Thomas Bck, Hao Wang |
| 2021 | PRICAI | VTLayout: Fusion of Visual and Text Features for Document Layout Analysis. | Shoubin Li, Xuyan Ma, Shuaiqun Pan, Jun Hu, Lin Shi, Qing Wang |