Haizhou Du
Orcid: 0000-0002-1875-5159
According to our database1,
Haizhou Du
authored at least 47 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
IEEE Internet Things J., 2024
2023
An efficient joint framework for interacting knowledge graph and item recommendation.
Knowl. Inf. Syst., April, 2023
An efficient federated learning framework for multi-channeled mobile edge network with layered gradient compression.
Comput. Networks, February, 2023
Heterogeneous Reinforcement Learning Network for Aspect-Based Sentiment Classification With External Knowledge.
IEEE Trans. Affect. Comput., 2023
A Unified Momentum-based Paradigm of Decentralized SGD for Non-Convex Models and Heterogeneous Data.
CoRR, 2023
Toward a Unified Framework for Verifying and Interpreting Learning-Based Networking Systems.
Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023
What Appears Suboptimal May Surprise You: A Fixed-Rate Scheduling Policy for Geo-Distributed CoFlows.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023
Proceedings of the 15th International Conference on Machine Learning and Computing, 2023
2022
Nostradamus: A novel event propagation prediction approach with spatio-temporal characteristics in non-Euclidean space.
Neural Networks, 2022
Isomer: Transfer enhanced dual-channel heterogeneous dependency attention network for aspect-based sentiment classification.
Knowl. Based Syst., 2022
Achieving Efficient Distributed Machine Learning Using a Novel Non-Linear Class of Aggregation Functions.
CoRR, 2022
Appl. Intell., 2022
Aggregation in the Mirror Space (AIMS): Fast, Accurate Distributed Machine Learning in Military Settings.
Proceedings of the IEEE Military Communications Conference, 2022
Sailfish: A Fast Bayesian Change Point Detection Framework with Gaussian Process for Time Series.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
Orchestra: adaptively accelerating distributed deep learning in heterogeneous environments.
Proceedings of the CF '22: 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17, 2022
2021
Astrologer: Exploiting graph neural Hawkes process for event propagation prediction with spatio-temporal characteristics.
Knowl. Based Syst., 2021
CPMAN: Change Point Detection Approach in Time Series Based on the Prediction of Multi-stage Attention Networks.
Int. J. Artif. Intell. Tools, 2021
Frontiers Comput. Sci., 2021
Isomer: Transfer enhanced Dual-Channel Heterogeneous Dependency Attention Network for Aspect-based Sentiment Classification.
CoRR, 2021
Vulcan: Solving the Steiner Tree Problem with Graph Neural Networks and Deep Reinforcement Learning.
CoRR, 2021
Toward Efficient Federated Learning in Multi-Channeled Mobile Edge Network with Layerd Gradient Compression.
CoRR, 2021
Stargazer: Toward efficient data analytics scheduling via task completion time inference.
Comput. Electr. Eng., 2021
Symbiosis: A Novel Framework for Integrating Hierarchies from Knowledge Graph into Recommendation System.
Proceedings of the Knowledge Science, Engineering and Management, 2021
FLZip: An Efficient and Privacy-Preserving Framework for Cross-Silo Federated Learning.
Proceedings of the 2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2021
Trident: Change Point Detection for Multivariate Time Series via Dual-Level Attention Learning.
Proceedings of the Intelligent Information and Database Systems - 13th Asian Conference, 2021
2020
MonkeyKing: Adaptive Parameter Tuning on Big Data Platforms with Deep Reinforcement Learning.
Big Data, 2020
Hawkeye: Adaptive Straggler Identification on Heterogeneous Spark Cluster With Reinforcement Learning.
IEEE Access, 2020
Proceedings of the 2020 Workshop on Network Application Integration/CoDesign, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
2019
Int. J. High Perform. Comput. Netw., 2019
Hephaistos: A fast and distributed outlier detection approach for big mixed attribute data.
Intell. Data Anal., 2019
Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019
Cheetah: A Dynamic Performance Optimization Approach on Heterogeneous Big Data Analytics Cluster.
Proceedings of the 5th International Conference on Big Data Computing and Communications, 2019
Multi-Stage Mixed Attribute Outlier Detection Algorithm Based on Neighborhood Density Difference.
Proceedings of the 5th International Conference on Big Data Computing and Communications, 2019
2018
Octopus: Based on Congestion-aware Scheduling on Geo-distributed Big Data Analytics Cluster.
Proceedings of the 5th International Conference on Systems and Informatics, 2018
Hierarchical Gated Convolutional Networks with Multi-Head Attention for Text Classification.
Proceedings of the 5th International Conference on Systems and Informatics, 2018
Proceedings of the 5th International Conference on Systems and Informatics, 2018
Proceedings of the 5th IEEE International Conference on Cyber Security and Cloud Computing, 2018
MMDBC: Density-Based Clustering Algorithm for Mixed Attributes and Multi-dimension Data.
Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018
2016
Robust K-means algorithm with automatically splitting and merging clusters and its applications for surveillance data.
Multim. Tools Appl., 2016
Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016
Proceedings of the IEEE Conference on Computer Communications Workshops, 2016
2015
Robust local outlier detection with statistical parameter for big data.
Comput. Syst. Sci. Eng., 2015
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015
2012
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012
2011
Proceedings of the Web Information Systems and Mining - International Conference, 2011
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011