Huang, Hong

10 publications

NeurIPS 2025 FedRTS: Federated Robust Pruning via Combinatorial Thompson Sampling Hong Huang, Jinhai Yang, Yuan Chen, Jiaxun Ye, Dapeng Wu

AAAI 2024 An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs Wei Zhou, Hong Huang, Ruize Shi, Kehan Yin, Hai Jin

NeurIPS 2024 Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections Zihan Luo, Hong Huang, Yongkang Zhou, Jiping Zhang, Nuo Chen, Hai Jin

IJCAI 2024 CausalNET: Unveiling Causal Structures on Event Sequences by Topology-Informed Causal Attention Hua Zhu, Hong Huang, Kehan Yin, Zejun Fan, Hai Jin, Bang Liu

CVPR 2024 FedMef: Towards Memory-Efficient Federated Dynamic Pruning Hong Huang, Weiming Zhuang, Chen Chen, Lingjuan Lyu

ECML-PKDD 2024 Molecular Graph Representation Learning via Structural Similarity Information Chengyu Yao, Hong Huang, Hang Gao, Fengge Wu, Haiming Chen, Junsuo Zhao

NeurIPS 2023 Cross-Links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective Zihan Luo, Hong Huang, Jianxun Lian, Xiran Song, Xing Xie, Hai Jin

ECML-PKDD 2022 Enhance Temporal Knowledge Graph Completion via Time-Aware Attention Graph Convolutional Network HaoHui Wei, Hong Huang, Teng Zhang, Xuanhua Shi, Hai Jin

IJCAI 2021 Temporal Heterogeneous Information Network Embedding Hong Huang, Ruize Shi, Wei Zhou, Xiao Wang, Hai Jin, Xiaoming Fu

IJCAI 2020 Motif-Preserving Temporal Network Embedding Hong Huang, Zixuan Fang, Xiao Wang, Youshan Miao, Hai Jin