Hong Huang

62 papers A* 13A 2B 2C 3Misc 1Journal 29Unranked 12
YearRankTypeTitle / Venue / Authors
2026 A* conf
EIAN: Explicit Interaction-aware Attention Network for Interpretable Event Modeling.
WWW
Jiping Zhang, Hua Zhu, Hong Huang, Yongkang Zhou, Kehan Yin, Bang Liu
2026 J jnl
Scalable Heterogeneous Graph Learning via Heterogeneous-aware Orthogonal Prototype Experts.
CoRR
Wei Zhou, Hong Huang, Ruize Shi, Bang Liu
2025 J jnl
Efficient Learning for Billion-Scale Heterogeneous Information Networks.
IEEE Trans. Big Data
Ruize Shi, Hong Huang, Xue Lin, Kehan Yin, Wei Zhou, Hai Jin
2025 J jnl
Soft-GNN: towards robust graph neural networks via self-adaptive data utilization.
Frontiers Comput. Sci.
Yao Wu, Hong Huang, Yu Song, Hai Jin
2025 — conf
Towards Controllable Hybrid Fairness in Graph Neural Networks.
KDD (1)
Zihan Luo, Hong Huang, Jianxun Lian, Xiran Song, Hai Jin
2024 A* conf
An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs.
AAAI
Wei Zhou, Hong Huang, Ruize Shi, Kehan Yin, Hai Jin
2024 A* conf
Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections.
NeurIPS
Zihan Luo, Hong Huang, Yongkang Zhou, Jiping Zhang, Nuo Chen, Hai Jin
2024 J jnl
Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections.
CoRR
Zihan Luo, Hong Huang, Yongkang Zhou, Jiping Zhang, Nuo Chen, Hai Jin
2024 A* conf
CausalNET: Unveiling Causal Structures on Event Sequences by Topology-Informed Causal Attention.
IJCAI
Hua Zhu, Hong Huang, Kehan Yin, Zejun Fan, Hai Jin, Bang Liu
2024 J jnl
From General to Specific: Tailoring Large Language Models for Personalized Healthcare.
CoRR
Ruize Shi, Hong Huang, Wei Zhou, Kehan Yin, Kai Zhao, Yun Zhao
2024 J jnl
GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability.
CoRR
Zihan Luo, Xiran Song, Hong Huang, Jianxun Lian, Chenhao Zhang, Jinqi Jiang, Xing Xie
2024 J jnl
Media Power Measuring via Emotional Contagion.
J. Soc. Comput.
Xue Lin, Hong Huang, Zongya Li, Hai Jin
2024 J jnl
OCDB: Revisiting Causal Discovery with a Comprehensive Benchmark and Evaluation Framework.
CoRR
Wei Zhou, Hong Huang, Guowen Zhang, Ruize Shi, Kehan Yin, Yuanyuan Lin, Bang Liu
2024 A* conf
Orthogonality Matters: Invariant Time Series Representation for Out-of-distribution Classification.
KDD
Ruize Shi, Hong Huang, Kehan Yin, Wei Zhou, Hai Jin
2024 J jnl
XGCN: a library for large-scale graph neural network recommendations.
Frontiers Comput. Sci.
Xiran Song, Hong Huang, Jianxun Lian, Hai Jin
2023 A* conf
Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective.
NeurIPS
Zihan Luo, Hong Huang, Jianxun Lian, Xiran Song, Xing Xie, Hai Jin
2023 J jnl
Revisiting Core Maintenance for Dynamic Hypergraphs.
IEEE Trans. Parallel Distributed Syst.
Qiang-Sheng Hua, Xiaohui Zhang, Hai Jin, Hong Huang
2023 J jnl
Temporal Heterogeneous Information Network Embedding via Semantic Evolution.
IEEE Trans. Knowl. Data Eng.
Wei Zhou, Hong Huang, Ruize Shi, Xiran Song, Xue Lin, Xiao Wang, Hai Jin
2023 A* conf
xGCN: An Extreme Graph Convolutional Network for Large-scale Social Link Prediction.
WWW
Xiran Song, Jianxun Lian, Hong Huang, Zihan Luo, Wei Zhou, Xue Lin, Mingqi Wu, Chaozhuo Li, Xing Xie, Hai Jin
2022 A conf
Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks.
WSDM
Zihan Luo, Jianxun Lian, Hong Huang, Hai Jin, Xing Xie
2022 — conf
Enhance Temporal Knowledge Graph Completion via Time-Aware Attention Graph Convolutional Network.
ECML/PKDD (2)
HaoHui Wei, Hong Huang, Teng Zhang, Xuanhua Shi, Hai Jin
2022 A* conf
Friend Recommendations with Self-Rescaling Graph Neural Networks.
KDD
Xiran Song, Jianxun Lian, Hong Huang, Mingqi Wu, Hai Jin, Xing Xie
2022 J jnl
Modeling Information Diffusion With Sequential Interactive Hypergraphs.
IEEE Trans. Sustain. Comput.
Hai Jin, Yao Wu, Hong Huang, Yu Song, HaoHui Wei, Xuanhua Shi
2022 J jnl
Multitask Representation Learning With Multiview Graph Convolutional Networks.
IEEE Trans. Neural Networks Learn. Syst.
Hong Huang, Yu Song, Yao Wu, Jia Shi, Xia Xie, Hai Jin
2022 A conf
Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations.
WSDM
Yu Song, Shuai Sun, Jianxun Lian, Hong Huang, Yu Li, Hai Jin, Xing Xie
2021 J jnl
China in the eyes of news media: a case study under COVID-19 epidemic.
Frontiers Inf. Technol. Electron. Eng.
Hong Huang, Zhexue Chen, Xuanhua Shi, Chenxu Wang, Zepeng He, Hai Jin, Mingxin Zhang, Zongya Li
2021 J jnl
Core decomposition and maintenance in weighted graph.
World Wide Web
Wei Zhou, Hong Huang, Qiang-Sheng Hua, Dongxiao Yu, Hai Jin, Xiaoming Fu
2021 J jnl
Enhancing Graph Neural Networks via auxiliary training for semi-supervised node classification.
Knowl. Based Syst.
Yao Wu, Yu Song, Hong Huang, Fanghua Ye, Xing Xie, Hai Jin
2021 J jnl
Mining World Indicators for Analyzing and Modeling the Development of Countries.
Trans. Data Sci.
Hong Huang, Mingyuan Chi, Yu Song, Hai Jin
2021 J jnl
Modeling Heterogeneous Edges to Represent Networks with Graph Auto-Encoder.
CoRR
Lu Wang, Yu Song, Hong Huang, Fanghua Ye, Xuanhua Shi, Hai Jin
2021 J jnl
Multi-Stage Network Embedding for Exploring Heterogeneous Edges.
CoRR
Hong Huang, Yu Song, Fanghua Ye, Xing Xie, Xuanhua Shi, Hai Jin
2021 J jnl
Multi-Stage Network Embedding for Exploring Heterogeneous Edges.
ACM Trans. Knowl. Discov. Data
Hong Huang, Yu Song, Fanghua Ye, Xing Xie, Xuanhua Shi, Hai Jin
2021 J jnl
Multi-Task Representation Learning with Multi-View Graph Convolutional Networks.
CoRR
Hong Huang, Yu Song, Yao Wu, Jia Shi, Xia Xie, Hai Jin
2021 A* conf
Outlier-Resilient Web Service QoS Prediction.
WWW
Fanghua Ye, Zhiwei Lin, Chuan Chen, Zibin Zheng, Hong Huang
2021 — conf
Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction.
ACL/IJCNLP (Findings)
Zhexue Chen, Hong Huang, Bang Liu, Xuanhua Shi, Hai Jin
2021 J jnl
Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction.
CoRR
Zhexue Chen, Hong Huang, Bang Liu, Xuanhua Shi, Hai Jin
2021 J jnl
Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations.
CoRR
Yu Song, Jianxun Lian, Shuai Sun, Hong Huang, Yu Li, Hai Jin, Xing Xie
2021 A* conf
Temporal Heterogeneous Information Network Embedding.
IJCAI
Hong Huang, Ruize Shi, Wei Zhou, Xiao Wang, Hai Jin, Xiaoming Fu
2020 — conf
Information Diffusion Prediction with Personalized Graph Neural Networks.
KSEM (2)
Yao Wu, Hong Huang, Hai Jin
2020 A* conf
Maxson: Reduce Duplicate Parsing Overhead on Raw Data.
ICDE
Xuanhua Shi, Yipeng Zhang, Hong Huang, Zhenyu Hu, Hai Jin, Huan Shen, Yongluan Zhou, Bingsheng He, Ruibo Li, Keyong Zhou
2020 — conf
Modeling Heterogeneous Edges to Represent Networks with Graph Auto-Encoder.
DASFAA (2)
Lu Wang, Yu Song, Hong Huang, Fanghua Ye, Xuanhua Shi, Hai Jin
2020 A* conf
Motif-Preserving Temporal Network Embedding.
IJCAI
Hong Huang, Zixuan Fang, Xiao Wang, Youshan Miao, Hai Jin
2020 J jnl
Outlier Resilient Collaborative Web Service QoS Prediction.
CoRR
Fanghua Ye, Zhiwei Lin, Chuan Chen, Zibin Zheng, Hong Huang, Emine Yilmaz
2020 J jnl
Predicting individual socioeconomic status from mobile phone data: a semi-supervised hypergraph-based factor graph approach.
Int. J. Data Sci. Anal.
Tao Zhao, Hong Huang, Xiaoming Yao, Jarder Luo, Xiaoming Fu
2019 Misc conf
Decoding Homomorphically Encrypted Flac Audio without Decryption.
ICASSP
Yuanyuan Tang, Bin Zhu, Xiaojing Ma, P. Takis Mathiopoulos, Xia Xie, Hong Huang
2019 — conf
Deep Learning-based Short Video Recommendation and Prefetching for Mobile Commuting Users.
NEAT@SIGCOMM
Qian Li, Yuan Zhang, Hong Huang, Jinyao Yan
2019 B conf
Dependent task placement and scheduling with function configuration in edge computing.
IWQoS
Liuyan Liu, Haisheng Tan, Shaofeng H.-C. Jiang, Zhenhua Han, Xiang-Yang Li, Hong Huang
2019 B conf
Estimating Socioeconomic Status via Temporal-Spatial Mobility Analysis - A Case Study of Smart Card Data.
ICCCN
Shichang Ding, Hong Huang, Tao Zhao, Xiaoming Fu
2019 J jnl
Estimating Socioeconomic Status via Temporal-Spatial Mobility Analysis - A Case Study of Smart Card Data.
CoRR
Shichang Ding, Hong Huang, Tao Zhao, Xiaoming Fu
2019 C conf
High Performance DDoS Attack Detection System Based on Distribution Statistics.
NPC
Xia Xie, Jinpeng Li, Xiaoyang Hu, Hai Jin, Hanhua Chen, Xiaojing Ma, Hong Huang
2019 — conf
TPLP: Two-Phase Selection Link Prediction for Vertex in Graph Streams.
PAKDD (2)
Yang Xiao, Hong Huang, Feng Zhao, Hai Jin
2018 A* conf
A Cross-Platform Consumer Behavior Analysis of Large-Scale Mobile Shopping Data.
WWW
Hong Huang, Bo Zhao, Hao Zhao, Zhou Zhuang, Zhenxuan Wang, Xiaoming Yao, Xinggang Wang, Hai Jin, Xiaoming Fu
2018 — conf
A Preliminary Study of E-Commerce User Behavior Based on Mobile Big Data - Invited Paper.
VTC Spring
Bo Zhao, Hong Huang, Jarder Luo, Xinggang Wang, Xiaoming Yao, Ramin Yahyapour, Zhenxuan Wang, Xiaoming Fu
2018 — conf
A comparative analysis of school pupils' daily habits in Germany and China.
INFOCOM Workshops
Xiaoming Fu, Hong Huang, Xiang-Yang Li, Haisheng Tan, Jie Tang
2018 J jnl
DeepScan: Exploiting Deep Learning for Malicious Account Detection in Location-Based Social Networks.
IEEE Commun. Mag.
Qingyuan Gong, Yang Chen, Xinlei He, Zhou Zhuang, Tianyi Wang, Hong Huang, Xin Wang, Xiaoming Fu
2018 C conf
GRAM: A GPU-Based Property Graph Traversal and Query for HPC Rich Metadata Management.
NPC
Wenke Li, Xuanhua Shi, Hong Huang, Peng Zhao, Hai Jin, Dong Dai, Yong Chen
2018 — conf
Identifying Topical Opinion Leaders in Social Community Question Answering.
DASFAA (1)
Tao Zhao, Hong Huang, Xiaoming Fu
2018 C conf
MomentSA: A Fast and Accurate Method for Stochastic Kronecker Graph Parameter Computing.
CSCWD
Yongqiang Li, Zhiyuan Shao, Hong Huang, Yinuo Li, Hai Jin
2018 J jnl
Will Triadic Closure Strengthen Ties in Social Networks?
ACM Trans. Knowl. Discov. Data
Hong Huang, Yuxiao Dong, Jie Tang, Hongxia Yang, Nitesh V. Chawla, Xiaoming Fu
2017 — conf
Predicting Happiness State Based on Emotion Representative Mining in Online Social Networks.
PAKDD (1)
Xiao Zhang, Wenzhong Li, Hong Huang, Cam-Tu Nguyen, Xu Chen, Xiaoliang Wang, Sanglu Lu
2015 J jnl
Triadic Closure Pattern Analysis and Prediction in Social Networks.
IEEE Trans. Knowl. Data Eng.
Hong Huang, Jie Tang, Lu Liu, Jarder Luo, Xiaoming Fu
2014 — conf
Mining triadic closure patterns in social networks.
WWW (Companion Volume)
Hong Huang, Jie Tang, Sen Wu, Lu Liu, Xiaoming Fu