Author

Zhi-Peng Deng

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Preprint Sep 2026

OFBD: Object-Focused Background Debiasing for Long-Tailed Learning

Balancing performance trade-offs on long-tailed data distributions remains a long-standing challenge in visual recognition. Existing methods mainly improve tail classes through re-balancing, representation learning, or data augmentation, but the underlying cause of tail class degradation is still insufficiently explore...

Sheng-Han Chen, Yi-Ming Liu, Zhi-Peng Deng et al. · 0 citations

Preprint Aug 2026

Test-Time Adaptation for ECG Classification via SQI-Gated Self-Training and Beat-Rhythm Consistency

Deep learning models for electrocardiogram (ECG) classification often suffer from significant performance degradation when deployed in unseen domains due to shifts in acquisition devices and patient populations. Test-time adaptation (TTA) offers a practical solution by adapting models using only unlabeled data at infer...

Wen-Han Jiang, Zhi-Peng Deng, Jia-Le Zhou et al. · 0 citations

#machine learning Preprint Aug 2026

PertMind: Eliciting Emergent Biological Reasoning in LLM via Reinforcement Learning on Cellular Perturbation Data

It is shown that cellular perturbation atlases can instead become reinforcement-learning environments, where measured gene responses provide computable rewards for biological reasoning, and introduces PertMind, which combines trusted-trajectory supervised initialization with gene-, pathway-, and format-level reinforcem...

Zhen-Chao Tang, Xiao-Gang Xu, Jia-Fei Wu et al. · 0 citations