Are we really making much progress in unsupervised graph outlier detection? Revisiting the problem with new insight and superior method. - Yihong Huang 001; Liping Wang 001; Fan Zhang 036; Xuemin Lin 001 (CoRR, 2022)

Unsupervised Graph Outlier Detection: Problem Revisit, New Insight, and Superior Method. - Yihong Huang 001; Liping Wang 001; Fan Zhang 036; Xuemin Lin 001 (ICDE, 2023)

Unleashing the Potential of Unsupervised Deep Outlier Detection through Automated Training Stopping. - Yihong Huang 001; Yuang Zhang; Liping Wang 001; Xuemin Lin 001 (CoRR, 2023)

EntropyStop: Unsupervised Deep Outlier Detection with Loss Entropy. - Yihong Huang 001; Yuang Zhang; Liping Wang 012; Fan Zhang 036; Xuemin Lin 001 (KDD, 2024)

GradStop: Exploring Training Dynamics in Unsupervised Outlier Detection through Gradient Cohesion. - Yuang Zhang; Liping Wang; Yihong Huang 001; Yuanxing Zheng (CoRR, 2024)

ShuffleGate: An Efficient and Self-Polarizing Feature Selection Method for Large-Scale Deep Models in Industry. - Yihong Huang 001; Chen Chu; Fan Zhang; Fei Chen; Yu Lin; Ruiduan Li; Zhihao Li (CoRR, 2025)

DimGrow: Memory-Efficient Field-level Embedding Dimension Search. - Yihong Huang 001; Chen Chu (CoRR, 2025)