MG-GCN: Fast and Effective Learning with Mix-grained Aggregators for Training Large Graph Convolutional Networks. - Tao Huang 021; Yihan Zhang; Jiajing Wu; Junyuan Fang; Zibin Zheng (CoRR, 2020)

Share or Not Share? Towards the Practicability of Deep Models for Unsupervised Anomaly Detection in Modern Online Systems. - Zilong He; Pengfei Chen 002; Tao Huang 021 (ISSRE, 2022)

A Transferable Time Series Forecasting Service Using Deep Transformer Model for Online Systems. - Tao Huang 021; Pengfei Chen 002; Jingrun Zhang; Ruipeng Li; Rui Wang (ASE, 2022)

A Semi-Supervised VAE Based Active Anomaly Detection Framework in Multivariate Time Series for Online Systems. - Tao Huang 021; Pengfei Chen 002; Ruipeng Li (WWW, 2022)

Ethereum Account Classification Based on Graph Convolutional Network. - Tao Huang 021; Dan Lin 007; Jiajing Wu (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

DashChef: A Metric Recommendation Service for Online Systems Using Graph Learning. - Zilong He; Tao Huang 021; Pengfei Chen 002; Ruipeng Li; Rui Wang; Zibin Zheng (ICECCS, 2024)

A Bayesian LSTM Based Active Anomaly Detection Service for Large Online Systems. - Chen Wang 075; Tao Huang 021; Min Li; Pengfei Chen 002; Zhiwen Chen (Internetware, 2024)

Who is Who on Ethereum? Account Labeling Using Heterophilic Graph Convolutional Network. - Dan Lin 007; Jiajing Wu; Tao Huang 021; Kaixin Lin; Zibin Zheng (IEEE Trans. Syst. Man Cybern. Syst., 2024)