Hong Huang

Orcid: 0000-0002-5282-551X

Affiliations:
  • Huazhong University of Science and Technology, Wuhan, China
  • University of Göttingen, Institute for Informatics, Germany (former)


According to our database1, Hong Huang authored at least 44 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
XGCN: a library for large-scale graph neural network recommendations.
Frontiers Comput. Sci., June, 2024

An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Temporal Heterogeneous Information Network Embedding via Semantic Evolution.
IEEE Trans. Knowl. Data Eng., December, 2023

Revisiting Core Maintenance for Dynamic Hypergraphs.
IEEE Trans. Parallel Distributed Syst., March, 2023

xGCN: An Extreme Graph Convolutional Network for Large-scale Social Link Prediction.
Proceedings of the ACM Web Conference 2023, 2023

Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Modeling Information Diffusion With Sequential Interactive Hypergraphs.
IEEE Trans. Sustain. Comput., 2022

Multitask Representation Learning With Multiview Graph Convolutional Networks.
IEEE Trans. Neural Networks Learn. Syst., 2022

Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Enhance Temporal Knowledge Graph Completion via Time-Aware Attention Graph Convolutional Network.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Friend Recommendations with Self-Rescaling Graph Neural Networks.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021
Core decomposition and maintenance in weighted graph.
World Wide Web, 2021

Multi-Stage Network Embedding for Exploring Heterogeneous Edges.
ACM Trans. Knowl. Discov. Data, 2021

Mining World Indicators for Analyzing and Modeling the Development of Countries.
Trans. Data Sci., 2021

Enhancing Graph Neural Networks via auxiliary training for semi-supervised node classification.
Knowl. Based Syst., 2021

China in the eyes of news media: a case study under COVID-19 epidemic.
Frontiers Inf. Technol. Electron. Eng., 2021

Multi-Task Representation Learning with Multi-View Graph Convolutional Networks.
CoRR, 2021

Outlier-Resilient Web Service QoS Prediction.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Temporal Heterogeneous Information Network Embedding.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Predicting individual socioeconomic status from mobile phone data: a semi-supervised hypergraph-based factor graph approach.
Int. J. Data Sci. Anal., 2020

Outlier Resilient Collaborative Web Service QoS Prediction.
CoRR, 2020

Information Diffusion Prediction with Personalized Graph Neural Networks.
Proceedings of the Knowledge Science, Engineering and Management, 2020

Motif-Preserving Temporal Network Embedding.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Maxson: Reduce Duplicate Parsing Overhead on Raw Data.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Modeling Heterogeneous Edges to Represent Networks with Graph Auto-Encoder.
Proceedings of the Database Systems for Advanced Applications, 2020

2019
Deep Learning-based Short Video Recommendation and Prefetching for Mobile Commuting Users.
Proceedings of the ACM SIGCOMM 2019 Workshop on Networking for Emerging Applications and Technologies, 2019

TPLP: Two-Phase Selection Link Prediction for Vertex in Graph Streams.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

High Performance DDoS Attack Detection System Based on Distribution Statistics.
Proceedings of the Network and Parallel Computing, 2019

Dependent task placement and scheduling with function configuration in edge computing.
Proceedings of the International Symposium on Quality of Service, 2019

Estimating Socioeconomic Status via Temporal-Spatial Mobility Analysis - A Case Study of Smart Card Data.
Proceedings of the 28th International Conference on Computer Communication and Networks, 2019

Decoding Homomorphically Encrypted Flac Audio without Decryption.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Will Triadic Closure Strengthen Ties in Social Networks?
ACM Trans. Knowl. Discov. Data, 2018

DeepScan: Exploiting Deep Learning for Malicious Account Detection in Location-Based Social Networks.
IEEE Commun. Mag., 2018

A Cross-Platform Consumer Behavior Analysis of Large-Scale Mobile Shopping Data.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

A Preliminary Study of E-Commerce User Behavior Based on Mobile Big Data - Invited Paper.
Proceedings of the 87th IEEE Vehicular Technology Conference, 2018

GRAM: A GPU-Based Property Graph Traversal and Query for HPC Rich Metadata Management.
Proceedings of the Network and Parallel Computing, 2018

A comparative analysis of school pupils' daily habits in Germany and China.
Proceedings of the IEEE INFOCOM 2018, 2018

Identifying Topical Opinion Leaders in Social Community Question Answering.
Proceedings of the Database Systems for Advanced Applications, 2018

MomentSA: A Fast and Accurate Method for Stochastic Kronecker Graph Parameter Computing.
Proceedings of the 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, 2018

2017
Predicting Happiness State Based on Emotion Representative Mining in Online Social Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

2015
Triadic Closure Pattern Analysis and Prediction in Social Networks.
IEEE Trans. Knowl. Data Eng., 2015

2014
Mining triadic closure patterns in social networks.
Proceedings of the 23rd International World Wide Web Conference, 2014


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