Po-Yi Lu

According to our database, Po-Yi Lu authored at least 7 papers between 2023 and 2025.

Collaborative distances:

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

2025

PEPPER: Perception-Guided Perturbation for Robust Backdoor Defense in Text-to-Image Diffusion Models.

Oscar Chew, Po-Yi Lu, Jayden Lin, Kuan-Hao Huang, Hsuan-Tien Lin

CoRR, November, 2025

An Expanded Benchmark that Rediscovers and Affirms the Edge of Uncertainty Sampling for Active Learning in Tabular Datasets.

Po-Yi Lu, Yi-Jie Cheng, Chun-Liang Li, Hsuan-Tien Lin

Trans. Mach. Learn. Res., 2025

The Unexplored Potential of Vision-Language Models for Generating Large-Scale Complementary-Label Learning Data.

Tan-Ha Mai, Nai-Xuan Ye, Yu-Wei Kuan, Po-Yi Lu, Hsuan-Tien Lin

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

Tackling Dimensional Collapse toward Comprehensive Universal Domain Adaptation.

Hung-Chieh Fang, Po-Yi Lu, Hsuan-Tien Lin

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Reducing Source-Private Bias in Extreme Universal Domain Adaptation.

Hung-Chieh Fang, Po-Yi Lu, Hsuan-Tien Lin

CoRR, 2024

Defending Text-to-image Diffusion Models: Surprising Efficacy of Textual Perturbations Against Backdoor Attacks.

Oscar Chew, Po-Yi Lu, Jayden Lin, Hsuan-Tien Lin

CoRR, 2024

2023

Re-Benchmarking Pool-Based Active Learning for Binary Classification.

Po-Yi Lu, Chun-Liang Li, Hsuan-Tien Lin

CoRR, 2023