Huafei Huang

Huafei Huang

About Me

Huafei Huang received the BSc. degree in Internet of Things Engineering from North University of China, China, in 2020, and the MSc degree in Software Engineering from Dalian University of Technology (DUT), China, in 2023

Experiences

  • North University of China
    B.Sc. (School of BigData), 2016-2020
  • Dalian University of Technology
    M.Sc. (School of Softwafe), 2020-2023

Research Interests

  • Data Mining, Anomaly Detection, Knowledge Graphs, Fairness in Graph Learning
  • Graph Learning, Large Language Models, Education
  • Computer Science

Honors and Awards

  • Outstanding Graduate of the College, North University of China University (2020)
  • The Second-class All-rounder Scholarship (2019,2020)
  • National Encouragement Scholarship (Sponsored by the Ministry of Education) (2018,2019)
  • The Honorable Mention in the MCM/ICM (2019)
  • The First Prize in The Blue Bridge Cup Competition (Shanxi Province) (2019)
  • The Second Prize in The Blue Bridge Cup Competition (National) (2019)
  • The First Prize of the CUMCM (Shanxi Province) (2018)
  • The First-class All-rounder Scholarship (2017,2018)

Invited Reviewer

  • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
  • Humanities and Social Sciences Communications (HSSCOMMS)
  • International Journal of Communication Systems (IJCS)
  • Frontiers in Big Data
  • Heliyon

Conference Talks

  • “Knowledge Graph Completion via Subgraph Topology Augmentation”, The 11th Chinese National Conference on Social Media Processing (SMP2023), Hefei, China, Nov. 23-26, 2023.
  • “Mining Implicit Relations Among Image Channels for Few-Shot Semantic Segmentation”, The 19th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC2022), Haikou, China, Dec. 15-18, 2022.
  • “Network Representation Learning Based on High-order Structure and Attention Mechanism”, The 6th China National Conference on Big Data & Social Computing (BDSC2021), Chongqing, China, Dec. 9-11, 2021.

Publications

  • Renqiang Luo, Huafei Huang, Shuo Yu, Zhuoyang Han, Jiayuan He, Xiuzhen Zhang, and Feng Xia. 2024. FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD).
  • Renqiang Luo, Huafei Huang, Shuo Yu, Xiuzhen Zhang, and Feng Xia. 2024. FairGT: A Fairness-aware Graph Transformer. Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI). (arxiv) (CODE)
  • Huafei Huang, Xu Yuan, Shuo Yu, Wenhong Zhao, Osama Alfarraj, Amr Tolba, and Feng Xia. 2024. Few-shot Semantic Segmentation for Consumer Electronics: An Inter-class Relation Mining Approach. IEEE Transactions on Consumer Electronics. 1-1, DOI: 10.1109/TCE.2024.3373630. (PDF) (CODE)
  • Shuo Yu, Huafei Huang, Yanming Shen, Pengfei Wang, Qiang Zhang, Ke Sun, Honglong Chen. 2024. Formulating and Representing Multi-agent Systems with Hypergraphs. IEEE Transactions on Neural Networks and Learning Systems. 1-15, DOI: 10.1109/TNNLS.2024.3368111. (PDF) (CODE)
  • Huafei Huang, Feng Ding, Fengyi Zhang, Yingbo Wang, Ciyuan Peng, Ahsan Shehzad, Qihang Lei, Lili Cong, and Shuo Yu. 2023. Knowledge Graph Completion via Subgraph Topology Augmentation. In Chinese National Conference on Social Media Processing (SMP). 14-29, DOI: 10.1007/978-981-99-7596-9_2. (PDF)
  • Tingting Wang, Feng Ding, Naiwen Luo, Qihang Lei, Huafei Huang, Tong Zhang, and Shuo Yu. 2023. MDC: An Interpretable GNNs Method Based on Node Motif Degree and Graph Diffusion Convolution. In China National Conference on Big Data and Social Computing (BDSC). (Most Popular Article Award) 362–374, DOI: 10.1007/978-981-99-3925-1_24. (PDF)
  • Xu Yuan, Ying Yang, Huafei Huang, Shuo Yu, and Lili Cong. 2022. Mining Implicit Relations Among Image Channels for Few-Shot Semantic Segmentation. In 2022 IEEE International Conference on Ubiquitous Intelligence and Computing (UIC). 275-284, DOI: 10.1109/SmartWorld-UIC-ATC-ScalCom-DigitalTwin-PriComp-Metaverse56740.2022.00062. (PDF)
  • Shuo Yu, Huafei Huang, Minh N. Dao, and Feng Xia. 2022. Graph Augmentation Learning. 2022. In Companion Proceedings of the Web Conference 2022 (WWW workshop 22). 1063–1072. DOI: 10.1145/3487553.3524718 (PDF) (CODE)
  • Xu Yuan, Na Zhou, Shuo Yu, Huafei Huang, Zhikui Chen, and Feng Xia. 2021. Higher-order Structure Based Anomaly Detection on Attributed Networks. In 2021 IEEE International Conference on Big Data (IEEE BigData 2021). 2691–2700. DOI: 10.1109/BigData52589.2021.9671990. (PDF) (CODE)