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Hong Huang
7 papers at tracked venues · 6 at CORE A* · active 2024–2026
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Venues
SIGKDD
×2
AAAI
×1
ACL
×1
IJCAI
×1
NeurIPS
×1
WWW
×1
Frequent coauthors
Hai Jin
×6
Kehan Yin
×4
Zihan Luo
×3
Jianxun Lian
×2
Jiping Zhang
×2
Hua Zhu
×2
Yongkang Zhou
×2
Bang Liu
×2
Wei Zhou
×2
Ruize Shi
×2
Yu Chang
×1
Xing Xie
×1
Papers
Can AI Revise Research Papers with Human Review Feedback? An Empirical Study and Benchmark
BibTeX ⧉
ACL 2026
·
Zihan Luo
,
Hong Huang
,
Jianxun Lian
,
Yu Chang
,
Xing Xie
,
Hai Jin
EIAN: Explicit Interaction-aware Attention Network for Interpretable Event Modeling
BibTeX ⧉
WWW 2026
·
Jiping Zhang
,
Hua Zhu
,
Hong Huang
,
Yongkang Zhou
,
Kehan Yin
,
Bang Liu
Towards Controllable Hybrid Fairness in Graph Neural Networks
BibTeX ⧉
SIGKDD 2025
·
Zihan Luo
,
Hong Huang
,
Jianxun Lian
,
Xiran Song
,
Hai Jin
An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs
BibTeX ⧉
AAAI 2024
·
Wei Zhou
,
Hong Huang
,
Ruize Shi
,
Kehan Yin
,
Hai Jin
Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections
BibTeX ⧉
NeurIPS 2024
·
Zihan Luo
,
Hong Huang
,
Yongkang Zhou
,
Jiping Zhang
,
Nuo Chen
,
Hai Jin
CausalNET: Unveiling Causal Structures on Event Sequences by Topology-Informed Causal Attention
BibTeX ⧉
IJCAI 2024
·
Hua Zhu
,
Hong Huang
,
Kehan Yin
,
Zejun Fan
,
Hai Jin
,
Bang Liu
Orthogonality Matters: Invariant Time Series Representation for Out-of-distribution Classification
BibTeX ⧉
SIGKDD 2024
·
Ruize Shi
,
Hong Huang
,
Kehan Yin
,
Wei Zhou
,
Hai Jin