Huafei Huang

According to our database, Huafei Huang authored at least 17 papers between 2021 and 2026.

Collaborative distances:

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

2026

LKAFormer: A Lightweight Kolmogorov-Arnold Transformer Model for Image Semantic Segmentation.

Shoulin Yin, Liguo Wang, Tao Chen, Huafei Huang, Jing Gao, Jianing Zhang, Meng Liu, Peng Li, Chengpei Xu

ACM Trans. Intell. Syst. Technol., June, 2026

TERGAD: Structure-Aware Text-Enhanced Representations for Graph Anomaly Detection.

Wen Shi, Zhe Wang, Huafei Huang, Qing Qing, Ziqi Xu, Qixin Zhang, Xikun Zhang, Renqiang Luo, Feng Xia

CoRR, May, 2026

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges.

Jingjing Zhou, Shiyu Huang, Qing Qing, Zuquan Yuan, Huafei Huang, Ziqi Xu, Mingliang Hou, Xikun Zhang, Renqiang Luo, Ivan Lee

CoRR, May, 2026

NeiGAD: Augmenting Graph Anomaly Detection via Spectral Neighbor Information.

Qing Qing, Huafei Huang, Mingliang Hou, Renqiang Luo, Mohsen Guizani

CoRR, March, 2026

FairGU: Fairness-aware Graph Unlearning in Social Networks.

Renqiang Luo, Yongshuai Yang, Huafei Huang, Qing Qing, Mingliang Hou, Ziqi Xu, Yi Yu, Jingjing Zhou, Feng Xia

Proceedings of the ACM Web Conference 2026, 2026

FairGE: Fairness-Aware Graph Encoding in Incomplete Social Networks.

Renqiang Luo, Huafei Huang, Tao Tang, Jing Ren, Ziqi Xu, Mingliang Hou, Enyan Dai, Feng Xia

Proceedings of the ACM Web Conference 2026, 2026

2025

Joint Structural-Functional Brain Graph Transformer.

Ciyuan Peng, Huafei Huang, Tianqi Guo, Chengxuan Meng, Jingjing Zhou, Wenhong Zhao, Ruwan B. Tennakoon, Feng Xia

ACM Trans. Intell. Syst. Technol., June, 2025

Fairness in Graph Learning Augmented with Machine Learning: A Survey.

Renqiang Luo, Ziqi Xu, Xikun Zhang, Qing Qing, Huafei Huang, Enyan Dai, Zhe Wang, Bo Yang

CoRR, April, 2025

Formulating and Representing Multiagent Systems With Hypergraphs.

Shuo Yu, Huafei Huang, Yanming Shen, Pengfei Wang, Qiang Zhang, Ke Sun, Honglong Chen

IEEE Trans. Neural Networks Learn. Syst., March, 2025

Multi-type social patterns-based graph learning.

Shuo Yu, Zhuoyang Han, Feng Ding, Huafei Huang, Renqiang Luo, Guoqing Han, Feng Xia

Neurocomputing, 2025

FairGP: A Scalable and Fair Graph Transformer Using Graph Partitioning.

Renqiang Luo, Huafei Huang, Ivan Lee, Chengpei Xu, Jianzhong Qi, Feng Xia

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Few-Shot Semantic Segmentation for Consumer Electronics: An Inter-Class Relation Mining Approach.

Huafei Huang, Xu Yuan, Shuo Yu, Wenhong Zhao, Osama Alfarraj, Amr Tolba, Feng Xia

IEEE Trans. Consumer Electron., February, 2024

FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks.

Renqiang Luo, Huafei Huang, Shuo Yu, Zhuoyang Han, Estrid He, Xiuzhen Zhang, Feng Xia

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

FairGT: A Fairness-aware Graph Transformer.

Renqiang Luo, Huafei Huang, Shuo Yu, Xiuzhen Zhang, Feng Xia

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2022

Graph Augmentation Learning.

Shuo Yu, Huafei Huang, Minh N. Dao, Feng Xia

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Mining Implicit Relations Among Image Channels for Few-Shot Semantic Segmentation.

Xu Yuan, Ying Yang, Huafei Huang, Shuo Yu, Lili Cong

Proceedings of the IEEE Smartworld, 2022

2021

Higher-order Structure Based Anomaly Detection on Attributed Networks.

Xu Yuan, Na Zhou, Shuo Yu, Huafei Huang, Zhikui Chen, Feng Xia

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021