Hong Huang

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 45

Top Topics

Link Prediction

Community Question Answering

Space Exploration

Top Venues

ACM Trans. Knowl. Discov. Data

IEEE Trans. Knowl. Data Eng.

Publications

Ruize Shi, Hong Huang, Kehan Yin, Wei Zhou, Hai Jin
Orthogonality Matters: Invariant Time Series Representation for Out-of-distribution Classification. KDD (2024)
Xiran Song, Hong Huang, Jianxun Lian, Hai Jin
XGCN: a library for large-scale graph neural network recommendations. Frontiers Comput. Sci. 18 (3) (2024)
Wei Zhou, Hong Huang, Ruize Shi, Kehan Yin, Hai Jin
An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs. AAAI (2024)
Wei Zhou, Hong Huang, Guowen Zhang, Ruize Shi, Kehan Yin, Yuanyuan Lin, Bang Liu
OCDB: Revisiting Causal Discovery with a Comprehensive Benchmark and Evaluation Framework. CoRR (2024)
Qiang-Sheng Hua, Xiaohui Zhang, Hai Jin, Hong Huang
Revisiting Core Maintenance for Dynamic Hypergraphs. IEEE Trans. Parallel Distributed Syst. 34 (3) (2023)
Wei Zhou, Hong Huang, Ruize Shi, Xiran Song, Xue Lin, Xiao Wang, Hai Jin
Temporal Heterogeneous Information Network Embedding via Semantic Evolution. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Zihan Luo, Hong Huang, Jianxun Lian, Xiran Song, Xing Xie, Hai Jin
Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective. NeurIPS (2023)
Xiran Song, Jianxun Lian, Hong Huang, Zihan Luo, Wei Zhou, Xue Lin, Mingqi Wu, Chaozhuo Li, Xing Xie, Hai Jin
xGCN: An Extreme Graph Convolutional Network for Large-scale Social Link Prediction. WWW (2023)
Hong Huang, Yu Song, Yao Wu, Jia Shi, Xia Xie, Hai Jin
Multitask Representation Learning With Multiview Graph Convolutional Networks. IEEE Trans. Neural Networks Learn. Syst. 33 (3) (2022)
Hai Jin, Yao Wu, Hong Huang, Yu Song, HaoHui Wei, Xuanhua Shi
Modeling Information Diffusion With Sequential Interactive Hypergraphs. IEEE Trans. Sustain. Comput. 7 (3) (2022)
Zihan Luo, Jianxun Lian, Hong Huang, Hai Jin, Xing Xie
Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks. WSDM (2022)
HaoHui Wei, Hong Huang, Teng Zhang, Xuanhua Shi, Hai Jin
Enhance Temporal Knowledge Graph Completion via Time-Aware Attention Graph Convolutional Network. ECML/PKDD (2) (2022)
Lu Wang, Yu Song, Hong Huang, Fanghua Ye, Xuanhua Shi, Hai Jin
Modeling Heterogeneous Edges to Represent Networks with Graph Auto-Encoder. CoRR (2021)
Yao Wu, Yu Song, Hong Huang, Fanghua Ye, Xing Xie, Hai Jin
Enhancing Graph Neural Networks via auxiliary training for semi-supervised node classification. Knowl. Based Syst. 220 (2021)
Hong Huang, Yu Song, Fanghua Ye, Xing Xie, Xuanhua Shi, Hai Jin
Multi-Stage Network Embedding for Exploring Heterogeneous Edges. ACM Trans. Knowl. Discov. Data 15 (1) (2021)
Hong Huang, Mingyuan Chi, Yu Song, Hai Jin
Mining World Indicators for Analyzing and Modeling the Development of Countries. Trans. Data Sci. 2 (4) (2021)
Hong Huang, Zhexue Chen, Xuanhua Shi, Chenxu Wang, Zepeng He, Hai Jin, Mingxin Zhang, Zongya Li
China in the eyes of news media: a case study under COVID-19 epidemic. Frontiers Inf. Technol. Electron. Eng. 22 (11) (2021)
Zhexue Chen, Hong Huang, Bang Liu, Xuanhua Shi, Hai Jin
Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction. ACL/IJCNLP (Findings) (2021)
Hong Huang, Ruize Shi, Wei Zhou, Xiao Wang, Hai Jin, Xiaoming Fu
Temporal Heterogeneous Information Network Embedding. IJCAI (2021)
Fanghua Ye, Zhiwei Lin, Chuan Chen, Zibin Zheng, Hong Huang
Outlier-Resilient Web Service QoS Prediction. WWW (2021)
Hong Huang, Yu Song, Yao Wu, Jia Shi, Xia Xie, Hai Jin
Multi-Task Representation Learning with Multi-View Graph Convolutional Networks. CoRR (2021)
Zhexue Chen, Hong Huang, Bang Liu, Xuanhua Shi, Hai Jin
Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction. CoRR (2021)
Yu Song, Jianxun Lian, Shuai Sun, Hong Huang, Yu Li, Hai Jin, Xing Xie
Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations. CoRR (2021)
Wei Zhou, Hong Huang, Qiang-Sheng Hua, Dongxiao Yu, Hai Jin, Xiaoming Fu
Core decomposition and maintenance in weighted graph. World Wide Web 24 (2) (2021)
Hong Huang, Yu Song, Fanghua Ye, Xing Xie, Xuanhua Shi, Hai Jin
Multi-Stage Network Embedding for Exploring Heterogeneous Edges. CoRR (2021)
Fanghua Ye, Zhiwei Lin, Chuan Chen, Zibin Zheng, Hong Huang, Emine Yilmaz
Outlier Resilient Collaborative Web Service QoS Prediction. CoRR (2020)
Tao Zhao, Hong Huang, Xiaoming Yao, Jarder Luo, Xiaoming Fu
Predicting individual socioeconomic status from mobile phone data: a semi-supervised hypergraph-based factor graph approach. Int. J. Data Sci. Anal. 9 (3) (2020)
Yao Wu, Hong Huang, Hai Jin
Information Diffusion Prediction with Personalized Graph Neural Networks. KSEM (2) (2020)
Hong Huang, Zixuan Fang, Xiao Wang, Youshan Miao, Hai Jin
Motif-Preserving Temporal Network Embedding. IJCAI (2020)
Lu Wang, Yu Song, Hong Huang, Fanghua Ye, Xuanhua Shi, Hai Jin
Modeling Heterogeneous Edges to Represent Networks with Graph Auto-Encoder. DASFAA (2) (2020)
Xuanhua Shi, Yipeng Zhang, Hong Huang, Zhenyu Hu, Hai Jin, Huan Shen, Yongluan Zhou, Bingsheng He, Ruibo Li, Keyong Zhou
Maxson: Reduce Duplicate Parsing Overhead on Raw Data. ICDE (2020)
Xia Xie, Jinpeng Li, Xiaoyang Hu, Hai Jin, Hanhua Chen, Xiaojing Ma, Hong Huang
High Performance DDoS Attack Detection System Based on Distribution Statistics. NPC (2019)
Yang Xiao, Hong Huang, Feng Zhao, Hai Jin
TPLP: Two-Phase Selection Link Prediction for Vertex in Graph Streams. PAKDD (2) (2019)
Shichang Ding, Hong Huang, Tao Zhao, Xiaoming Fu
Estimating Socioeconomic Status via Temporal-Spatial Mobility Analysis - A Case Study of Smart Card Data. ICCCN (2019)
Liuyan Liu, Haisheng Tan, Shaofeng H.-C. Jiang, Zhenhua Han, Xiang-Yang Li, Hong Huang
Dependent task placement and scheduling with function configuration in edge computing. IWQoS (2019)
Shichang Ding, Hong Huang, Tao Zhao, Xiaoming Fu
Estimating Socioeconomic Status via Temporal-Spatial Mobility Analysis - A Case Study of Smart Card Data. CoRR (2019)
Yongqiang Li, Zhiyuan Shao, Hong Huang, Yinuo Li, Hai Jin
MomentSA: A Fast and Accurate Method for Stochastic Kronecker Graph Parameter Computing. CSCWD (2018)
Hong Huang, Yuxiao Dong, Jie Tang, Hongxia Yang, Nitesh V. Chawla, Xiaoming Fu
Will Triadic Closure Strengthen Ties in Social Networks? ACM Trans. Knowl. Discov. Data 12 (3) (2018)
Hong Huang, Bo Zhao, Hao Zhao, Zhou Zhuang, Zhenxuan Wang, Xiaoming Yao, Xinggang Wang, Hai Jin, Xiaoming Fu
A Cross-Platform Consumer Behavior Analysis of Large-Scale Mobile Shopping Data. WWW (2018)
Bo Zhao, Hong Huang, Jarder Luo, Xinggang Wang, Xiaoming Yao, Ramin Yahyapour, Zhenxuan Wang, Xiaoming Fu
A Preliminary Study of E-Commerce User Behavior Based on Mobile Big Data - Invited Paper. VTC Spring (2018)
Tao Zhao, Hong Huang, Xiaoming Fu
Identifying Topical Opinion Leaders in Social Community Question Answering. DASFAA (1) (2018)
Qingyuan Gong, Yang Chen, Xinlei He, Zhou Zhuang, Tianyi Wang, Hong Huang, Xin Wang, Xiaoming Fu
DeepScan: Exploiting Deep Learning for Malicious Account Detection in Location-Based Social Networks. IEEE Commun. Mag. 56 (11) (2018)
Xiaoming Fu, Hong Huang, Xiang-Yang Li, Haisheng Tan, Jie Tang
A comparative analysis of school pupils' daily habits in Germany and China. INFOCOM Workshops (2018)
Wenke Li, Xuanhua Shi, Hong Huang, Peng Zhao, Hai Jin, Dong Dai, Yong Chen
GRAM: A GPU-Based Property Graph Traversal and Query for HPC Rich Metadata Management. NPC (2018)
Xiao Zhang, Wenzhong Li, Hong Huang, Cam-Tu Nguyen, Xu Chen, Xiaoliang Wang, Sanglu Lu
Predicting Happiness State Based on Emotion Representative Mining in Online Social Networks. PAKDD (1) (2017)
Hong Huang, Jie Tang, Lu Liu, Jarder Luo, Xiaoming Fu
Triadic Closure Pattern Analysis and Prediction in Social Networks. IEEE Trans. Knowl. Data Eng. 27 (12) (2015)
Hong Huang, Jie Tang, Sen Wu, Lu Liu, Xiaoming Fu
Mining triadic closure patterns in social networks. WWW (Companion Volume) (2014)