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
5.65/100
超过 17.8%
全站排名 #52,925
发表论文4 篇
平均评分
年均产出2.0 篇/年
Hye-Seung Cho
研究方向
anomaly detection · tabular prediction · deep learning · audio signal processing
26
ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection
ICLR 2026Poster
11
Enhancing Deep Tabular Models with GBDT-Guided Piecewise-Linear Embeddings
ICLR 2026Rejected
5
Attention-Guided Masking and Neighbor-Informed Reconstruction for Tabular Anomaly Detection
ICLR 2026Withdrawn
一作