Hong Huang
Orcid: 0000-0002-5282-551XAffiliations:
- 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 51 papers
between 2014 and 2025.
Collaborative distances:
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Bibliography
2025
Frontiers Comput. Sci., April, 2025
2024
Frontiers Comput. Sci., June, 2024
OCDB: Revisiting Causal Discovery with a Comprehensive Benchmark and Evaluation Framework.
CoRR, 2024
Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections.
CoRR, 2024
GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability.
CoRR, 2024
Orthogonality Matters: Invariant Time Series Representation for Out-of-distribution Classification.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
CausalNET: Unveiling Causal Structures on Event Sequences by Topology-Informed Causal Attention.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Knowl. Data Eng., December, 2023
IEEE Trans. Parallel Distributed Syst., March, 2023
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
IEEE Trans. Sustain. Comput., 2022
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
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
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
2021
ACM Trans. Knowl. Discov. Data, 2021
Trans. Data Sci., 2021
Enhancing Graph Neural Networks via auxiliary training for semi-supervised node classification.
Knowl. Based Syst., 2021
Frontiers Inf. Technol. Electron. Eng., 2021
CoRR, 2021
Proceedings of the WWW '21: The Web Conference 2021, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
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
Proceedings of the Knowledge Science, Engineering and Management, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
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
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019
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
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
ACM Trans. Knowl. Discov. Data, 2018
DeepScan: Exploiting Deep Learning for Malicious Account Detection in Location-Based Social Networks.
IEEE Commun. Mag., 2018
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
Proceedings of the IEEE INFOCOM 2018, 2018
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
IEEE Trans. Knowl. Data Eng., 2015
2014
Proceedings of the 23rd International World Wide Web Conference, 2014