Lung Nodule Detection Using Combined Traditional and Deep Models and Chest CT. - Junjie Zhang; Zhaowei Huang; Tairan Huang; Yong Xia 001; Yanning Zhang 001 (IScIDE, 2018)

Spatiotemporal Attacks for Embodied Agents. - Aishan Liu; Tairan Huang; Xianglong Liu 001; Yitao Xu; Yuqing Ma; Xinyun Chen; Stephen J. Maybank; Dacheng Tao (ECCV (17), 2020)

Adversarial Attacks for Embodied Agents. - Aishan Liu; Tairan Huang; Xianglong Liu 001; Yitao Xu; Yuqing Ma; Xinyun Chen; Stephen J. Maybank; Dacheng Tao (CoRR, 2020)

CGAR: Critic Guided Action Redistribution in Reinforcement Leaning. - Tairan Huang; Xu Li 001; Hao Li 073; Mingming Sun 001; Ping Li 001 (CoG, 2022)

Predictive Queue-based Low Latency Congestion Detection in Data Center Networks. - Pingping Dong; Xiaojuan Lu; Tairan Huang; Liying Chen; Yang Yang; Lianming Zhang (ISPA/BDCloud/SocialCom/SustainCom, 2023)

Predictive Queue-Based Rate Control for Low Latency in Lossless Data Center Networks. - Pingping Dong; Xiaojuan Lu; Tairan Huang; Liying Chen; Yang Yang; Lianming Zhang (IEEE Trans. Netw. Serv. Manag., 2024)

Revisiting low-homophily for graph-based fraud detection. - Tairan Huang; Qiutong Li; Cong Xu; Jianliang Gao; Zhao Li 007; Shichao Zhang 001 (Neural Networks, 2025)

Can LLMs Find Fraudsters? Multi-level LLM Enhanced Graph Fraud Detection. - Tairan Huang; Yili Wang (CoRR, 2025)

X-GAD: Explainable graph-level anomaly detection via inter-graph anomalies. - Xinqiu Zhang; Wei Qin; Tairan Huang; Jianliang Gao (Expert Syst. Appl., 2026)

Multi-faceted consistency data augmentation for graph anomaly detection. - Tairan Huang; Yili Wang; Qiutong Li; Jianliang Gao (Inf. Process. Manag., 2026)