Huafei Huang

21 papers A* 5Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A* conf
FairGE: Fairness-Aware Graph Encoding in Incomplete Social Networks.
WWW
Renqiang Luo, Huafei Huang, Tao Tang, Jing Ren, Ziqi Xu, Mingliang Hou, Enyan Dai, Feng Xia
2026 J jnl
FairGE: Fairness-Aware Graph Encoding in Incomplete Social Networks.
CoRR
Renqiang Luo, Huafei Huang, Tao Tang, Jing Ren, Ziqi Xu, Mingliang Hou, Enyan Dai, Feng Xia
2026 A* conf
FairGU: Fairness-aware Graph Unlearning in Social Networks.
WWW
Renqiang Luo, Yongshuai Yang, Huafei Huang, Qing Qing, Mingliang Hou, Ziqi Xu, Yi Yu, Jingjing Zhou, Feng Xia
2026 J jnl
FairGU: Fairness-aware Graph Unlearning in Social Networks.
CoRR
Renqiang Luo, Yongshuai Yang, Huafei Huang, Qing Qing, Mingliang Hou, Ziqi Xu, Yi Yu, Jingjing Zhou, Feng Xia
2026 J jnl
NeiGAD: Augmenting Graph Anomaly Detection via Spectral Neighbor Information.
CoRR
Qing Qing, Huafei Huang, Mingliang Hou, Renqiang Luo, Mohsen Guizani
2025 A* conf
FairGP: A Scalable and Fair Graph Transformer Using Graph Partitioning.
AAAI
Renqiang Luo, Huafei Huang, Ivan Lee, Chengpei Xu, Jianzhong Qi, Feng Xia
2025 J jnl
Fairness in Graph Learning Augmented with Machine Learning: A Survey.
CoRR
Renqiang Luo, Ziqi Xu, Xikun Zhang, Qing Qing, Huafei Huang, Enyan Dai, Zhe Wang, Bo Yang
2025 J jnl
Formulating and Representing Multiagent Systems With Hypergraphs.
IEEE Trans. Neural Networks Learn. Syst.
Shuo Yu, Huafei Huang, Yanming Shen, Pengfei Wang, Qiang Zhang, Ke Sun, Honglong Chen
2025 J jnl
Joint Structural-Functional Brain Graph Transformer.
ACM Trans. Intell. Syst. Technol.
Ciyuan Peng, Huafei Huang, Tianqi Guo, Chengxuan Meng, Jingjing Zhou, Wenhong Zhao, Ruwan B. Tennakoon, Feng Xia
2025 J jnl
Multi-type social patterns-based graph learning.
Neurocomputing
Shuo Yu, Zhuoyang Han, Feng Ding, Huafei Huang, Renqiang Luo, Guoqing Han, Feng Xia
2024 A* conf
FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks.
KDD
Renqiang Luo, Huafei Huang, Shuo Yu, Zhuoyang Han, Estrid He, Xiuzhen Zhang, Feng Xia
2024 J jnl
FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks.
CoRR
Renqiang Luo, Huafei Huang, Shuo Yu, Zhuoyang Han, Estrid He, Xiuzhen Zhang, Feng Xia
2024 J jnl
FairGP: A Scalable and Fair Graph Transformer Using Graph Partitioning.
CoRR
Renqiang Luo, Huafei Huang, Ivan Lee, Chengpei Xu, Jianzhong Qi, Feng Xia
2024 A* conf
FairGT: A Fairness-aware Graph Transformer.
IJCAI
Renqiang Luo, Huafei Huang, Shuo Yu, Xiuzhen Zhang, Feng Xia
2024 J jnl
FairGT: A Fairness-aware Graph Transformer.
CoRR
Renqiang Luo, Huafei Huang, Shuo Yu, Xiuzhen Zhang, Feng Xia
2024 J jnl
Few-Shot Semantic Segmentation for Consumer Electronics: An Inter-Class Relation Mining Approach.
IEEE Trans. Consumer Electron.
Huafei Huang, Xu Yuan, Shuo Yu, Wenhong Zhao, Osama Alfarraj, Amr Tolba, Feng Xia
2024 J jnl
Higher-order Structure Based Anomaly Detection on Attributed Networks.
CoRR
Xu Yuan, Na Zhou, Shuo Yu, Huafei Huang, Zhikui Chen, Feng Xia
2022 — conf
Graph Augmentation Learning.
WWW (Companion Volume)
Shuo Yu, Huafei Huang, Minh N. Dao, Feng Xia
2022 J jnl
Graph Augmentation Learning.
CoRR
Shuo Yu, Huafei Huang, Minh N. Dao, Feng Xia
2022 — conf
Mining Implicit Relations Among Image Channels for Few-Shot Semantic Segmentation.
SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta
Xu Yuan, Ying Yang, Huafei Huang, Shuo Yu, Lili Cong
2021 — conf
Higher-order Structure Based Anomaly Detection on Attributed Networks.
IEEE BigData
Xu Yuan, Na Zhou, Shuo Yu, Huafei Huang, Zhikui Chen, Feng Xia