Zhi-Hao Tan

According to our database, Zhi-Hao Tan authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Towards enabling learnware to handle heterogeneous feature spaces.

Peng Tan, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou

Mach. Learn., April, 2024

Learnware: small models do big.

Zhi-Hua Zhou, Zhi-Hao Tan

Sci. China Inf. Sci., 2024

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, 2024

Towards Making Learnware Specification and Market Evolvable.

Jian-Dong Liu, Zhi-Hao Tan, Zhi-Hua Zhou

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Handling Learnwares Developed from Heterogeneous Feature Spaces without Auxiliary Data.

Peng Tan, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Identifying Helpful Learnwares Without Examining the Whole Market.

Yi Xie, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Real-Valued Backpropagation is Unsuitable for Complex-Valued Neural Networks.

Zhi-Hao Tan, Yi Xie, Yuan Jiang, Zhi-Hua Zhou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

Multi-label optimal margin distribution machine.

Zhi-Hao Tan, Peng Tan, Yuan Jiang, Zhi-Hua Zhou

Mach. Learn., 2020

2019

Coreset Stochastic Variance-Reduced Gradient with Application to Optimal Margin Distribution Machine.

Zhi-Hao Tan, Teng Zhang, Wei Wang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019