影响力指数
论文质量、代表作、近期表现、广度与样本量置信度综合计算
-/100
发表论文5 篇
平均评分
年均产出5.0 篇/年
Yekun Ke
研究方向
Differential Privacy · Deep Learning · Foundation Model
6
Advancing the understanding of fixed point iterations in deep neural networks: a detailed analytical study
ICLR 2026Rejected
一作6
Circuit Complexity Bounds for Visual Autoregressive Model
ICLR 2026Rejected
一作9
On Computational Limits and Provably Efficient Criteria of Visual Autoregressive Models: A Fine-Grained Complexity Analysis
ICLR 2026Withdrawn
一作9
DPBloomfilter: Securing Bloom Filters with Differential Privacy
ICLR 2026Withdrawn
一作6
Visual Autoregressive Transformers Must Use $\Omega(n^2 d)$ Memory
ICLR 2026Rejected
三作