| 2026 | AAAI | Tabular Learnwares Can Be Repurposed for Seemingly Irrelevant New Tasks. | Peng Tan, Feifan Yang, Zhi-Hao Tan, Zhi-Hua Zhou |
| 2025 | IJCAI | Identifying and Reusing Learnwares Across Different Label Spaces. | Jian-Dong Liu, Zhi-Hao Tan, Zhi-Hua Zhou |
| 2025 | KDD | Dynamic Learnware Filtering for Efficient Learnware Identification and System Slimming. | Jian-Dong Liu, Zhi-Hao Tan, Zhi-Hua Zhou |
| 2024 | AAAI | Towards Making Learnware Specification and Market Evolvable. | Jian-Dong Liu, Zhi-Hao Tan, Zhi-Hua Zhou |
| 2024 | KDD | Beimingwu: A Learnware Dock System. | Zhi-Hao Tan, Jian-Dong Liu, Xiao-Dong Bi, Peng Tan, Qin-Cheng Zheng, Hai-Tian Liu, Yi Xie, Xiao-Chuan Zou, Yang Yu, Zhi-Hua Zhou |
| 2023 | ECAI | Identifying Helpful Learnwares Without Examining the Whole Market. | Yi Xie, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou |
| 2023 | IJCAI | Handling Learnwares Developed from Heterogeneous Feature Spaces without Auxiliary Data. | Peng Tan, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou |
| 2019 | AAAI | Coreset Stochastic Variance-Reduced Gradient with Application to Optimal Margin Distribution Machine. | Zhi-Hao Tan, Teng Zhang, Wei Wang |