collaborators

7 papers

cs.LG2026

Domain Knowledge Based Temporal-Spatial Graph Convolution Network for ECG Recognition

Wenting Ma, Zhipeng Zhang, Xiaohang Yuan +6

In light of strides in Arti cial Intelligence (AI) and its wide spread application, challenges persist in the interpretability of AI models, particularly within specialized domains…

cs.LG2026

Confidence Freeze: Early Success Induces a Metastable Decoupling of Metacognition and Behaviour

Zhipeng Zhang, Hongshun He

Humans must flexibly arbitrate between exploring alternatives and exploiting learned strategies, yet they frequently exhibit maladaptive persistence by continuing to execute failin…

cs.LG2026

Stable but Wrong: When Learning Stabilizes Away from the Truth

Zhipeng Zhang

Stable training is often treated as evidence that learning is succeeding, but stability characterizes optimization behavior rather than correctness relative to an external objectiv…

cs.LG2026

Learning to Trust Experience: A Monitor-Trust-Regulator Framework for Learning under Unobservable Feedback Reliability

Zhipeng Zhang, Zhenjie Yao, Kai Li +1

Learning under unobservable feedback reliability poses a distinct challenge beyond optimization robustness: a system must decide whether to learn from an experience, not only how t…

cs.LG2026

Training instability in deep learning follows low-dimensional dynamical principles

Zhipeng Zhang, Zhenjie Yao, Kai Li +1

Deep learning systems achieve remarkable empirical performance, yet the stability of the training process itself remains poorly understood. Training unfolds as a high-dimensional d…

cs.LG2026

Meta-Cognitive Reinforcement Learning with Self-Doubt and Recovery

Zhipeng Zhang, Xiongfei Su, Kai Li

Robust reinforcement learning methods typically focus on suppressing unreliable experiences or corrupted rewards, but they lack the ability to reason about the reliability of their…

cs.CV2023

FaceSkin: A Privacy Preserving Facial skin patch Dataset for multi Attributes classification

Qiushi Guo, Shisha Liao

Human facial skin images contain abundant textural information that can serve as valuable features for attribute classification, such as age, race, and gender. Additionally, facial…