Tairan Huang

According to our database, Tairan Huang authored at least 21 papers between 2018 and 2026.

Collaborative distances:

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

2026

Detect by Yourself: Self-Designing Agentic Workflows for Few-Shot Graph Anomaly Detection.

Tairan Huang, Qiang Chen, Yili Wang, Yueyue Ma, Changlong He, Xiu Su, Yi Chen

CoRR, May, 2026

LLM-Agnostic Semantic Representation Attack.

Jiawei Lian, Jianhong Pan, Lefan Wang, Yi Wang, Tairan Huang, Shaohui Mei, Lap-Pui Chau

CoRR, May, 2026

Tools as Continuous Flow for Evolving Agentic Reasoning.

Tairan Huang, Siyu Shang, Qiang Chen, Xiu Su, Yi Chen

CoRR, May, 2026

Diffusion-Guided Backdoor Attacks in Real-World Reinforcement Learning.

Tairan Huang, Qingqing Ye, Yulin Jin, Jiawei Lian, Yi Wang, Haibo Hu

CoRR, January, 2026

Multi-faceted consistency data augmentation for graph anomaly detection.

Tairan Huang, Yili Wang, Qiutong Li, Jianliang Gao

Inf. Process. Manag., 2026

X-GAD: Explainable graph-level anomaly detection via inter-graph anomalies.

Xinqiu Zhang, Wei Qin, Tairan Huang, Jianliang Gao

Expert Syst. Appl., 2026

Attribute-decoupled graph neural architecture search for discrete point anomaly detection.

Jiamin Chen, Zhenpeng Wu, Tairan Huang, Xinqiu Zhang, Siyang Xiao, Weihua Ou

Expert Syst. Appl., 2026

ROVER: Robust Generative Continual Identity Unlearning Against Relearning Attacks.

Tairan Huang, Qiang Chen, Beibei Hu, Yunlong Zhao, Hongyan Xu, Zhiyuan Chen, Yi Chen, Xiu Su

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

SEBA: Sample-Efficient Black-Box Attacks on Visual Reinforcement Learning.

Tairan Huang, Yulin Jin, Junxu Liu, Qingqing Ye, Haibo Hu

CoRR, November, 2025

Can LLMs Find Fraudsters? Multi-level LLM Enhanced Graph Fraud Detection.

Tairan Huang, Yili Wang

CoRR, July, 2025

Revisiting low-homophily for graph-based fraud detection.

Tairan Huang, Qiutong Li, Cong Xu, Jianliang Gao, Zhao Li, Shichao Zhang

Neural Networks, 2025

Simple and Efficient Heterogeneous Temporal Graph Neural Network.

Yili Wang, Tairan Huang, Changlong He, Qiutong Li, Jianliang Gao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Can LLMs Find Fraudsters? Multi-level LLM Enhanced Graph Fraud Detection.

Tairan Huang, Yili Wang, Qiutong Li, Changlong He, Jianliang Gao

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Lightning Decoupled Graph Neural Architecture Search for Fraud Detection.

Tairan Huang, Changlong He, Yili Wang, Jianliang Gao

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

Time-Aware Meta-path Aggregation on Heterogeneous Temporal Graphs.

Wei Qin, Yili Wang, Xinqiu Zhang, Tairan Huang, Shuqing Wu, Jianliang Gao

Proceedings of the Database Systems for Advanced Applications, 2025

2024

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., June, 2024

2023

Predictive Queue-based Low Latency Congestion Detection in Data Center Networks.

Pingping Dong, Xiaojuan Lu, Tairan Huang, Liying Chen, Yang Yang, Lianming Zhang

Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

2022

CGAR: Critic Guided Action Redistribution in Reinforcement Leaning.

Tairan Huang, Xu Li, Hao Li, Mingming Sun, Ping Li

Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

2020

Adversarial Attacks for Embodied Agents.

Aishan Liu, Tairan Huang, Xianglong Liu, Yitao Xu, Yuqing Ma, Xinyun Chen, Stephen J. Maybank, Dacheng Tao

CoRR, 2020

Spatiotemporal Attacks for Embodied Agents.

Aishan Liu, Tairan Huang, Xianglong Liu, Yitao Xu, Yuqing Ma, Xinyun Chen, Stephen J. Maybank, Dacheng Tao

Proceedings of the Computer Vision - ECCV 2020, 2020

2018

Lung Nodule Detection Using Combined Traditional and Deep Models and Chest CT.

Junjie Zhang, Zhaowei Huang, Tairan Huang, Yong Xia, Yanning Zhang

Proceedings of the Intelligence Science and Big Data Engineering, 2018