Publications

Preprints

Learnware of Language Models: Specialized Small Language Models Can Do Big.
Zhi-Hao Tan*, Zi-Chen Zhao*, Hao-Yu Shi*, Xin-Yu Zhang, Peng Tan, Yang Yu, Zhi-Hua Zhou.
arXiv:2505.13425, 2025.
arXiv

2026

Handling Learnwares from Heterogeneous Feature and Label Spaces with Explicit Label Exploitation.
Peng Tan, Zhi-Hao Tan, Hai-Tian Liu, Zhi-Hua Zhou.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2026. Early access.
DOI

Integrated Learnware Identification and Reuse via Reusability-Aware Metric Learning.
Hai-Tian Liu, Peng Tan, Jian-Dong Liu, Zhi-Hao Tan, Zhi-Hua Zhou.
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’26), 2026.
PDF

Decision Tree-Based Assembly for Learnwares from Heterogeneous Feature Spaces. [in Chinese]
基于决策树的异构特征空间学件组装方法
Peng Tan, Zhi-Hua Zhou.
Journal of Computer Research and Development, 63(5): 1249–1260, 2026.
PDF
Best Student Paper Award, 20th China Conference on Machine Learning (CCML), 2025.

Tabular Learnwares Can Be Repurposed for Seemingly Irrelevant New Tasks.
Peng Tan, Fei-Fan Yang, Zhi-Hao Tan, Zhi-Hua Zhou.
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI’26), 40(30): 25778–25786, 2026.
PDF

2024

Handling Learnwares from Heterogeneous Feature Spaces with Explicit Label Exploitation.
Peng Tan, Hai-Tian Liu, Zhi-Hao Tan, Zhi-Hua Zhou.
Advances in Neural Information Processing Systems 37 (NeurIPS’24), Vancouver, Canada, 2024, pp. 12767–12795.
PDF

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.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’24), Barcelona, Spain, 2024, pp. 5773–5782.
PDF

Towards Enabling Learnware to Handle Heterogeneous Feature Spaces.
Peng Tan, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou.
Machine Learning, 113(4): 1839–1860, 2024.
PDF

2023

Handling Learnwares Developed from Heterogeneous Feature Spaces without Auxiliary Data.
Peng Tan, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou.
Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI’23), Macao, China, 2023, pp. 4235–4243.
PDF

2020

Multi-label Optimal Margin Distribution Machine.
Zhi-Hao Tan, Peng Tan, Yuan Jiang, Zhi-Hua Zhou.
Machine Learning, 109(3): 623–642, 2020.
PDF

* Equal contribution.