Haizhou Du

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 51

Top Topics

Reinforcement Learning

Temporal Characteristics

Top Venues

Knowl. Based Syst.

Publications

Haizhou Du, Chengdong Ni, Chaoqian Cheng, Qiao Xiang, Xi Chen, Xue Liu
FedSwarm: An Adaptive Federated Learning Framework for Scalable AIoT. IEEE Internet Things J. 11 (5) (2024)
Kaiqiang Hu, Haizhou Du, Yao Wang
Heracles: A Novel State-based Distributed Verification Framework for DNS Configurations. FMANO@SIGCOMM (2024)
Haizhou Du, Chaoqian Cheng, Chengdong Ni
A unified momentum-based paradigm of decentralized SGD for non-convex models and heterogeneous data. Artif. Intell. 332 (2024)
Haizhou Du, Conghao Liu, Haotian Liu, Xiaoyu Ding, Huan Huo
An efficient federated learning framework for graph learning in hyperbolic space. Knowl. Based Syst. 289 (2024)
Yao Wang, Kexin Yu, Ziyi Wang, Kaiqiang Hu, Haizhou Du, Qiao Xiang, Xing Fang, Geng Li, Ruiting Zhou, Linghe Kong, Jiwu Shu
Rethinking DNS Configuration Verification with a Distributed Architecture. APNet (2024)
Haizhou Du, Ming Li
FlowSeer: A Novel Framework for Generalized Network Performance Estimation at Flow Level. CSCWD (2024)
Haoyu Liu, Feiyan Ding, Yao Wang, Qiao Xiang, Jiwu Shu, Haizhou Du, Linghe Kong, Xue Liu
What Appears Suboptimal May Surprise You: A Fixed-Rate Scheduling Policy for Geo-Distributed CoFlows. ICPADS (2023)
Haizhou Du, Chengdong Ni
A Unified Momentum-based Paradigm of Decentralized SGD for Non-Convex Models and Heterogeneous Data. CoRR (2023)
Yangfan Huang, Yuling Lin, Haizhou Du, Yijian Chen, Haohao Song, Linghe Kong, Qiao Xiang, Qiang Li, Franck Le, Jiwu Shu
Toward a Unified Framework for Verifying and Interpreting Learning-Based Networking Systems. IWQoS (2023)
Chengdong Ni, Haizhou Du
Baileys: An Efficient Distributed Machine Learning Framework by Dynamic Grouping. ICMLC (2023)
Haizhou Du, Yue Tang, Zebang Cheng
An efficient joint framework for interacting knowledge graph and item recommendation. Knowl. Inf. Syst. 65 (4) (2023)
Yukun Cao, Yijia Tang, Haizhou Du, Feifei Xu, Ziyue Wei, ChengKun Jin
Heterogeneous Reinforcement Learning Network for Aspect-Based Sentiment Classification With External Knowledge. IEEE Trans. Affect. Comput. 14 (4) (2023)
Haizhou Du, Yijian Chen, Xiaojie Feng, Qiao Xiang, Haoyu Liu
An efficient federated learning framework for multi-channeled mobile edge network with layered gradient compression. Comput. Networks 221 (2023)
Haizhou Du, Yan Zhou
Nostradamus: A novel event propagation prediction approach with spatio-temporal characteristics in non-Euclidean space. Neural Networks 145 (2022)
Ryan Yang, Haizhou Du, Andre Wibisono, Patrick Baker
Aggregation in the Mirror Space (AIMS): Fast, Accurate Distributed Machine Learning in Military Settings. MILCOM (2022)
Haizhou Du, Ryan Yang, Yijian Chen, Qiao Xiang, Andre Wibisono, Wei Huang
Achieving Efficient Distributed Machine Learning Using a Novel Non-Linear Class of Aggregation Functions. CoRR (2022)
Haizhou Du, Yang Zheng
Sailfish: A Fast Bayesian Change Point Detection Framework with Gaussian Process for Time Series. ICANN (3) (2022)
Haizhou Du, Sheng Huang, Qiao Xiang
Orchestra: adaptively accelerating distributed deep learning in heterogeneous environments. CF (2022)
Haizhou Du, Ziyi Duan
Finder: A novel approach of change point detection for multivariate time series. Appl. Intell. 52 (3) (2022)
Ryan Yang, Haizhou Du, Andre Wibisono, Patrick Baker
Aggregation in the Mirror Space (AIMS): Fast, Accurate Distributed Machine Learning in Military Settings. CoRR (2022)
Yukun Cao, Yijia Tang, Haizhou Du, Feifei Xu, Ziyue Wei, ChengKun Jin
Isomer: Transfer enhanced dual-channel heterogeneous dependency attention network for aspect-based sentiment classification. Knowl. Based Syst. 256 (2022)
Haizhou Du, Yan Zhou, Yunpu Ma, Shiwei Wang
Astrologer: Exploiting graph neural Hawkes process for event propagation prediction with spatio-temporal characteristics. Knowl. Based Syst. 228 (2021)
Haizhou Du, Xiaojie Feng, Qiao Xiang, Haoyu Liu
Toward Efficient Federated Learning in Multi-Channeled Mobile Edge Network with Layerd Gradient Compression. CoRR (2021)
Haizhou Du, Shiwei Wang, Huan Huo
XFinder: Detecting Unknown Anomalies in Distributed Machine Learning Scenario. Frontiers Comput. Sci. 3 (2021)
Haizhou Du, Zong Yan, Qiao Xiang, Qinqing Zhan
Vulcan: Solving the Steiner Tree Problem with Graph Neural Networks and Deep Reinforcement Learning. CoRR (2021)
Yukun Cao, Yijia Tang, Ziyue Wei, ChengKun Jin, Zeyu Miao, Yixin Fang, Haizhou Du, Feifei Xu
Isomer: Transfer enhanced Dual-Channel Heterogeneous Dependency Attention Network for Aspect-based Sentiment Classification. CoRR (2021)
Haizhou Du, Ziyi Duan, Yang Zheng
CPMAN: Change Point Detection Approach in Time Series Based on the Prediction of Multi-stage Attention Networks. Int. J. Artif. Intell. Tools 30 (5) (2021)
Ziyi Duan, Haizhou Du, Yang Zheng
Trident: Change Point Detection for Multivariate Time Series via Dual-Level Attention Learning. ACIIDS (2021)
Haizhou Du, Keke Zhang, Qiao Xiang
Stargazer: Toward efficient data analytics scheduling via task completion time inference. Comput. Electr. Eng. 92 (2021)
Xiaojie Feng, Haizhou Du
FLZip: An Efficient and Privacy-Preserving Framework for Cross-Silo Federated Learning. iThings/GreenCom/CPSCom/SmartData/Cybermatics (2021)
Haizhou Du, Yue Tang
Symbiosis: A Novel Framework for Integrating Hierarchies from Knowledge Graph into Recommendation System. KSEM (2021)
Feifei Xu, Xinpeng Wang, Yunpu Ma, Volker Tresp, Yuyi Wang, Shanlin Zhou, Haizhou Du
Controllable Multi-Character Psychology-Oriented Story Generation. CIKM (2020)
Haizhou Du, Ping Han, Qiao Xiang, Sheng Huang
MonkeyKing: Adaptive Parameter Tuning on Big Data Platforms with Deep Reinforcement Learning. Big Data 8 (4) (2020)
Feifei Xu, Xinpeng Wang, Yunpu Ma, Volker Tresp, Yuyi Wang, Shanlin Zhou, Haizhou Du
Controllable Multi-Character Psychology-Oriented Story Generation. CoRR (2020)
Haizhou Du, Shaohua Zhang
Hawkeye: Adaptive Straggler Identification on Heterogeneous Spark Cluster With Reinforcement Learning. IEEE Access 8 (2020)
Shuhe Wang, Dong Guo, Wei Jiang, Haizhou Du, Mingwei Xu
Dawn: Co-programming Distributed Applications with Network Control. NAI@SIGCOMM (2020)
Haizhou Du, Shaohua Zhang, Ping Han, Keke Zhang, Bin Xu
Cheetah: A Dynamic Performance Optimization Approach on Heterogeneous Big Data Analytics Cluster. BigCom (2019)
Haizhou Du, Wei Fang, Yi Wang
Hephaistos: A fast and distributed outlier detection approach for big mixed attribute data. Intell. Data Anal. 23 (4) (2019)
Xiao Lin, Haizhou Du, Shenshen Chen
A novel graph compression algorithm for data-intensive scientific networks. Int. J. High Perform. Comput. Netw. 14 (4) (2019)
Haizhou Du, Wei Fang, Qing Liu, Zhenchen Yang, Xiaofeng Wang
Multi-Stage Mixed Attribute Outlier Detection Algorithm Based on Neighborhood Density Difference. BigCom (2019)
Haizhou Du, Keke Zhang, Sheng Huang
OctopusKing: A TCT-Aware Task Scheduling on Spark Platform. ICPADS (2019)
Haizhou Du, Wei Fang, Haining Huang, Shuqing Zeng
MMDBC: Density-Based Clustering Algorithm for Mixed Attributes and Multi-dimension Data. BigComp (2018)
Haizhou Du, Jingu Qian
Hierarchical Gated Convolutional Networks with Multi-Head Attention for Text Classification. ICSAI (2018)
Haizhou Du, Shuqing Zeng, Tingting Dou, Wei Fang, Yi Wang, Chenlu Zhang
FASTBEE: A Fast and Self-Adaptive Clustering Algorithm Towards to Edge Computing. CSCloud/EdgeCom (2018)
Haizhou Du, Keke Zhang, Zhenchen Yang
Octopus: Based on Congestion-aware Scheduling on Geo-distributed Big Data Analytics Cluster. ICSAI (2018)
Haizhou Du, Ping Han, Wei Chen, Yi Wang, Chenlu Zhang
Otterman: A Novel Approach of Spark Auto-tuning by a Hybrid Strategy. ICSAI (2018)
Haizhou Du, Shengjie Zhao, Daqiang Zhang, Jinsong Wu
Novel clustering-based approach for Local Outlier Detection. INFOCOM Workshops (2016)
Haizhou Du, Zhengbo Chen, Qifen Li, Yongwen Yang
A Novel Text Feature Weight Calculation Method Applied to Power Field. Trustcom/BigDataSE/ISPA (2016)
Jingsheng Lei, Teng Jiang, Kui Wu, Haizhou Du, Guokang Zhu, Zhaoqing Wang
Robust K-means algorithm with automatically splitting and merging clusters and its applications for surveillance data. Multim. Tools Appl. 75 (19) (2016)
Jingsheng Lei, Teng Jiang, Kui Wu, Haizhou Du, Lin Zhu
Robust local outlier detection with statistical parameter for big data. Comput. Syst. Sci. Eng. 30 (5) (2015)
Haizhou Du, Shengjie Zhao, Daqiang Zhang
Robust Local Outlier Detection. ICDM Workshops (2015)
Haizhou Du, Weiguo Pan
A fuzzy clustering algorithm based on interval valued fuzzy sets. FSKD (2012)
Haizhou Du
Study of a Fuzzy Clustering Algorithm Based on Interval Value. WISM (1) (2011)
Feifei Xu, Weiguo Pan, Lai Wei, Haizhou Du
An Efficient Fuzzy Rough Approach for Feature Selection. RSKT (2011)