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Haizhou Du
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2020 – today
- 2024
- [j19]Haizhou Du
, Chaoqian Cheng, Chengdong Ni:
A unified momentum-based paradigm of decentralized SGD for non-convex models and heterogeneous data. Artif. Intell. 332: 104130 (2024) - [j18]Haizhou Du
FedSwarm: An Adaptive Federated Learning Framework for Scalable AIoT. IEEE Internet Things J. 11(5): 8268-8287 (2024) - [j17]Haizhou Du
An efficient federated learning framework for graph learning in hyperbolic space. Knowl. Based Syst. 289: 111438 (2024) - [c29]Yao Wang
Rethinking DNS Configuration Verification with a Distributed Architecture. APNet 2024: 23-30 - [c28]Haizhou Du, Ming Li:
FlowSeer: A Novel Framework for Generalized Network Performance Estimation at Flow Level. CSCWD 2024: 2834-2839 - [c27]Kaiqiang Hu
Heracles: A Novel State-based Distributed Verification Framework for DNS Configurations. FMANO@SIGCOMM 2024 - [c26]Haizhou Du, Zhiyuan Yang:
FedPrime: An Adaptive Critical Learning Periods Control Framework for Efficient Federated Learning in Heterogeneity Scenarios. ECML/PKDD (5) 2024: 125-141 - 2023
- [j16]Haizhou Du
An efficient federated learning framework for multi-channeled mobile edge network with layered gradient compression. Comput. Networks 221: 109517 (2023) - [j15]Haizhou Du, Yue Tang, Zebang Cheng:
An efficient joint framework for interacting knowledge graph and item recommendation. Knowl. Inf. Syst. 65(4): 1685-1712 (2023) - [j14]Yukun Cao
Heterogeneous Reinforcement Learning Network for Aspect-Based Sentiment Classification With External Knowledge. IEEE Trans. Affect. Comput. 14(4): 3362-3375 (2023) - [c25]Chengdong Ni
Baileys: An Efficient Distributed Machine Learning Framework by Dynamic Grouping. ICMLC 2023: 92-96 - [c24]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: 1342-1349 - [c23]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: 1-10 - [i7]Haizhou Du, Chengdong Ni:
A Unified Momentum-based Paradigm of Decentralized SGD for Non-Convex Models and Heterogeneous Data. CoRR abs/2303.00179 (2023) - 2022
- [j13]Haizhou Du, Ziyi Duan:
Finder: A novel approach of change point detection for multivariate time series. Appl. Intell. 52(3): 2496-2509 (2022) - [j12]Yukun Cao, Yijia Tang
Isomer: Transfer enhanced dual-channel heterogeneous dependency attention network for aspect-based sentiment classification. Knowl. Based Syst. 256: 109879 (2022) - [j11]Haizhou Du, Yan Zhou:
Nostradamus: A novel event propagation prediction approach with spatio-temporal characteristics in non-Euclidean space. Neural Networks 145: 386-394 (2022) - [c22]Haizhou Du, Sheng Huang, Qiao Xiang:
Orchestra: adaptively accelerating distributed deep learning in heterogeneous environments. CF 2022: 181-184 - [c21]Haizhou Du
Sailfish: A Fast Bayesian Change Point Detection Framework with Gaussian Process for Time Series. ICANN (3) 2022: 740-751 - [c20]Ryan Yang, Haizhou Du, Andre Wibisono, Patrick Baker:
Aggregation in the Mirror Space (AIMS): Fast, Accurate Distributed Machine Learning in Military Settings. MILCOM 2022: 470-477 - [i6]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 abs/2201.12488 (2022) - [i5]Ryan Yang, Haizhou Du, Andre Wibisono, Patrick Baker:
Aggregation in the Mirror Space (AIMS): Fast, Accurate Distributed Machine Learning in Military Settings. CoRR abs/2210.16181 (2022) - 2021
- [j10]Haizhou Du, Keke Zhang, Qiao Xiang:
Stargazer: Toward efficient data analytics scheduling via task completion time inference. Comput. Electr. Eng. 92: 107092 (2021) - [j9]Haizhou Du, Shiwei Wang, Huan Huo:
XFinder: Detecting Unknown Anomalies in Distributed Machine Learning Scenario. Frontiers Comput. Sci. 3: 710384 (2021) - [j8]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): 2150026:1-2150026:25 (2021) - [j7]Haizhou Du, Yan Zhou, Yunpu Ma
Astrologer: Exploiting graph neural Hawkes process for event propagation prediction with spatio-temporal characteristics. Knowl. Based Syst. 228: 107247 (2021) - [c19]Ziyi Duan, Haizhou Du, Yang Zheng:
Trident: Change Point Detection for Multivariate Time Series via Dual-Level Attention Learning. ACIIDS 2021: 799-810 - [c18]Xiaojie Feng, Haizhou Du:
FLZip: An Efficient and Privacy-Preserving Framework for Cross-Silo Federated Learning. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2021: 209-216 - [c17]Haizhou Du, Yue Tang:
Symbiosis: A Novel Framework for Integrating Hierarchies from Knowledge Graph into Recommendation System. KSEM 2021: 242-254 - [i4]Haizhou Du, Xiaojie Feng, Qiao Xiang, Haoyu Liu:
Toward Efficient Federated Learning in Multi-Channeled Mobile Edge Network with Layerd Gradient Compression. CoRR abs/2109.08819 (2021) - [i3]Haizhou Du, Zong Yan, Qiao Xiang, Qinqing Zhan:
Vulcan: Solving the Steiner Tree Problem with Graph Neural Networks and Deep Reinforcement Learning. CoRR abs/2111.10810 (2021) - [i2]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 abs/2112.03011 (2021) - 2020
- [j6]Haizhou Du
Hawkeye: Adaptive Straggler Identification on Heterogeneous Spark Cluster With Reinforcement Learning. IEEE Access 8: 57822-57832 (2020) - [j5]Haizhou Du, Ping Han, Qiao Xiang, Sheng Huang:
MonkeyKing: Adaptive Parameter Tuning on Big Data Platforms with Deep Reinforcement Learning. Big Data 8(4): 270-290 (2020) - [c16]Feifei Xu, Xinpeng Wang, Yunpu Ma, Volker Tresp, Yuyi Wang, Shanlin Zhou, Haizhou Du:
Controllable Multi-Character Psychology-Oriented Story Generation. CIKM 2020: 1675-1684 - [c15]Shuhe Wang, Dong Guo, Wei Jiang, Haizhou Du, Mingwei Xu:
Dawn: Co-programming Distributed Applications with Network Control. NAI@SIGCOMM 2020: 14-19 - [i1]Feifei Xu, Xinpeng Wang, Yunpu Ma, Volker Tresp, Yuyi Wang, Shanlin Zhou, Haizhou Du:
Controllable Multi-Character Psychology-Oriented Story Generation. CoRR abs/2010.05230 (2020)
2010 – 2019
- 2019
- [j4]Haizhou Du, Wei Fang, Yi Wang:
Hephaistos: A fast and distributed outlier detection approach for big mixed attribute data. Intell. Data Anal. 23(4): 759-778 (2019) - [j3]Xiao Lin, Haizhou Du, Shenshen Chen:
A novel graph compression algorithm for data-intensive scientific networks. Int. J. High Perform. Comput. Netw. 14(4): 425-434 (2019) - [c14]Haizhou Du, Wei Fang, Qing Liu, Zhenchen Yang, Xiaofeng Wang:
Multi-Stage Mixed Attribute Outlier Detection Algorithm Based on Neighborhood Density Difference. BigCom 2019: 160-168 - [c13]Haizhou Du, Shaohua Zhang, Ping Han, Keke Zhang, Bin Xu:
Cheetah: A Dynamic Performance Optimization Approach on Heterogeneous Big Data Analytics Cluster. BigCom 2019: 169-177 - [c12]Haizhou Du, Keke Zhang, Sheng Huang:
OctopusKing: A TCT-Aware Task Scheduling on Spark Platform. ICPADS 2019: 159-162 - 2018
- [c11]Haizhou Du, Wei Fang, Haining Huang, Shuqing Zeng:
MMDBC: Density-Based Clustering Algorithm for Mixed Attributes and Multi-dimension Data. BigComp 2018: 549-552 - [c10]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: 128-133 - [c9]Haizhou Du, Ping Han, Wei Chen, Yi Wang, Chenlu Zhang:
Otterman: A Novel Approach of Spark Auto-tuning by a Hybrid Strategy. ICSAI 2018: 478-483 - [c8]Haizhou Du, Keke Zhang, Zhenchen Yang:
Octopus: Based on Congestion-aware Scheduling on Geo-distributed Big Data Analytics Cluster. ICSAI 2018: 490-495 - [c7]Haizhou Du, Jingu Qian:
Hierarchical Gated Convolutional Networks with Multi-Head Attention for Text Classification. ICSAI 2018: 1170-1175 - 2016
- [j2]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): 12043-12059 (2016) - [c6]Haizhou Du, Shengjie Zhao, Daqiang Zhang, Jinsong Wu
Novel clustering-based approach for Local Outlier Detection. INFOCOM Workshops 2016: 802-811 - [c5]Haizhou Du, Zhengbo Chen, Qifen Li, Yongwen Yang:
A Novel Text Feature Weight Calculation Method Applied to Power Field. Trustcom/BigDataSE/ISPA 2016: 1700-1705 - 2015
- [j1]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) - [c4]Haizhou Du, Shengjie Zhao, Daqiang Zhang:
Robust Local Outlier Detection. ICDM Workshops 2015: 116-123 - 2012
- [c3]Haizhou Du, Weiguo Pan:
A fuzzy clustering algorithm based on interval valued fuzzy sets. FSKD 2012: 283-286 - 2011
- [c2]Feifei Xu, Weiguo Pan, Lai Wei, Haizhou Du:
An Efficient Fuzzy Rough Approach for Feature Selection. RSKT 2011: 95-100 - [c1]Haizhou Du:
Study of a Fuzzy Clustering Algorithm Based on Interval Value. WISM (1) 2011: 141-147
Coauthor Index
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last updated on 2024-09-09 00:18 CEST by the dblp team
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