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Zi-Jian Cheng

2 accepted papers

2025

Fully Test-Time Adaptation for Feature Decrement in Tabular Data

IJCAI 2025

Tabular data is widely adopted in various machine learning tasks. Current tabular data learning mainly focuses on closed environments, while in real-world applications, open environments are often encountered, where distribution shifts and feature decrements occur, leading to severe performance degr

Cited by 0SourcePDFScholar
2025

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments

ICML 2025poster

Tabular data is widely utilized in various machine learning tasks. Current tabular learning research predominantly focuses on closed environments, while in real-world applications, open environments are often encountered, where distribution and feature shifts occur, leading to significant degradatio…