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Zhi-Hao Tan

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2020 – today

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2026
[c11]
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Peng Tan, Feifan Yang, Zhi-Hao Tan, Zhi-Hua Zhou:
Tabular Learnwares Can Be Repurposed for Seemingly Irrelevant New Tasks. AAAI 2026: 25778-25786
2025
[c10]
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Jian-Dong Liu, Zhi-Hao Tan, Zhi-Hua Zhou:
Identifying and Reusing Learnwares Across Different Label Spaces. IJCAI 2025: 5734-5742
[c9]
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Jian-Dong Liu, Zhi-Hao Tan, Zhi-Hua Zhou:
Dynamic Learnware Filtering for Efficient Learnware Identification and System Slimming. KDD (2) 2025: 1811-1822
[i3]
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  - journals/corr/abs-2505-13425
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Zhi-Hao Tan, Zi-Chen Zhao, Hao-Yu Shi, Xin-Yu Zhang, Peng Tan, Yang Yu, Zhi-Hua Zhou:
Learnware of Language Models: Specialized Small Language Models Can Do Big. CoRR abs/2505.13425 (2025)
2024
[j3]
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Zhi-Hua Zhou, Zhi-Hao Tan:
Learnware: small models do big. Sci. China Inf. Sci. 67(1) (2024)
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Peng Tan, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou:
Towards enabling learnware to handle heterogeneous feature spaces. Mach. Learn. 113(4): 1839-1860 (2024)
[c8]
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Jian-Dong Liu, Zhi-Hao Tan, Zhi-Hua Zhou:
Towards Making Learnware Specification and Market Evolvable. AAAI 2024: 13909-13917
[c7]
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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:
Beimingwu: A Learnware Dock System. KDD 2024: 5773-5782
[c6]
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Hao-Yi Lei, Zhi-Hao Tan, Zhi-Hua Zhou:
On the Ability of Developers' Training Data Preservation of Learnware. NeurIPS 2024
[c5]
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Peng Tan, Hai-Tian Liu, Zhi-Hao Tan, Zhi-Hua Zhou:
Handling Learnwares from Heterogeneous Feature Spaces with Explicit Label Exploitation. NeurIPS 2024
[i2]
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  - journals/corr/abs-2401-14427
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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:
Beimingwu: A Learnware Dock System. CoRR abs/2401.14427 (2024)
2023
[c4]
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Yi Xie, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou:
Identifying Helpful Learnwares Without Examining the Whole Market. ECAI 2023: 2752-2759
[c3]
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Peng Tan, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou:
Handling Learnwares Developed from Heterogeneous Feature Spaces without Auxiliary Data. IJCAI 2023: 4235-4243
2022
[c2]
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Zhi-Hao Tan, Yi Xie, Yuan Jiang, Zhi-Hua Zhou:
Real-Valued Backpropagation is Unsuitable for Complex-Valued Neural Networks. NeurIPS 2022
[i1]
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  - journals/corr/abs-2210-03647
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Zhi-Hua Zhou, Zhi-Hao Tan:
Learnware: Small Models Do Big. CoRR abs/2210.03647 (2022)
2020
[j1]
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Zhi-Hao Tan, Peng Tan, Yuan Jiang, Zhi-Hua Zhou:
Multi-label optimal margin distribution machine. Mach. Learn. 109(3): 623-642 (2020)

2010 – 2019

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2019
[c1]
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Zhi-Hao Tan, Teng Zhang, Wei Wang:
Coreset Stochastic Variance-Reduced Gradient with Application to Optimal Margin Distribution Machine. AAAI 2019: 5083-5090

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