5 papers
Toward the Optimal Regret-Instability Trade-off in Multi-Armed Bandits
Kaifei Wang, Yinyu Ye, Han Zhong
Multi-armed bandit algorithms are evaluated by regret, yet comparable regret can coexist with different allocations across independent runs. We study the trade-off between worst-ca…
Why Do DiT Editors Drift? Plug-and-Play Low Frequency Alignment in VAE Latent Space
Xiaoce Wang, Sifan Zhou, Kaifei Wang +4
Recent advances in diffusion transformers (DiTs) have enabled promising single-turn image editing capabilities. However, multi-turn editing often leads to progressive semantic drif…
Muon in Associative Memory Learning: Training Dynamics and Scaling Laws
Binghui Li, Kaifei Wang, Han Zhong +2
Muon updates matrix parameters via the matrix sign of the gradient and has shown strong empirical gains, yet its dynamics and scaling behavior remain unclear in theory. We study Mu…
Reasoning in Diffusion Large Language Models is Concentrated in Dynamic Confusion Zones
Ranfei Chen, Ming Chen, Kaifei Wang
Diffusion Large Language Models (dLLMs) are rapidly emerging alongside autoregressive models as a powerful paradigm for complex reasoning, with reinforcement learning increasingly…
pUniFind: a unified large pre-trained deep learning model pushing the limit of mass spectra interpretation
Jiale Zhao, Pengzhi Mao, Kaifei Wang +12
Deep learning has advanced mass spectrometry data interpretation, yet most models remain feature extractors rather than unified scoring frameworks. We present pUniFind, the first l…