Yihong Huang

According to our database, Yihong Huang authored at least 7 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

DimGrow: Memory-Efficient Field-level Embedding Dimension Search.

Yihong Huang, Chen Chu

CoRR, May, 2025

ShuffleGate: An Efficient and Self-Polarizing Feature Selection Method for Large-Scale Deep Models in Industry.

Yihong Huang, Chen Chu, Fan Zhang, Fei Chen, Yu Lin, Ruiduan Li, Zhihao Li

CoRR, March, 2025

2024

GradStop: Exploring Training Dynamics in Unsupervised Outlier Detection through Gradient Cohesion.

Yuang Zhang, Liping Wang, Yihong Huang, Yuanxing Zheng

CoRR, 2024

EntropyStop: Unsupervised Deep Outlier Detection with Loss Entropy.

Yihong Huang, Yuang Zhang, Liping Wang, Fan Zhang, Xuemin Lin

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Unleashing the Potential of Unsupervised Deep Outlier Detection through Automated Training Stopping.

Yihong Huang, Yuang Zhang, Liping Wang, Xuemin Lin

CoRR, 2023

Unsupervised Graph Outlier Detection: Problem Revisit, New Insight, and Superior Method.

Yihong Huang, Liping Wang, Fan Zhang, Xuemin Lin

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Are we really making much progress in unsupervised graph outlier detection? Revisiting the problem with new insight and superior method.

Yihong Huang, Liping Wang, Fan Zhang, Xuemin Lin

CoRR, 2022