Haizhou Du - RankMe

79 papers A* 3A 3B 4C 3Misc 1Journal 30Unranked 35

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FedHyperGraph: A layer-wise personalized federated learning with correlation graphs in hyperbolic space. Neural Networks Haizhou Du, Chongyi Qiu, Huan Huo
2026	A*	`conf`	FedRGL: Federated Riemannian Graph Learning in Mixed-Curvature Spaces with Ricci-Gated Convolution. WWW Haizhou Du, Haolin Wu, Zijie Zhu, Zicheng Shi
2026	—	`conf`	M3RAG: Orchestrating Multi-agent Reasoning for Multi-hop, Multi-modal Understanding. MMM (1) Haizhou Du, Wenhao Li
2026	A*	`conf`	Mnemosyne: Accelerating Multi-Hop Question Answering via Cache Hit Order Fitting. AAAI Haizhou Du, Jiujiu Li, Dongyang Li, Luobin Huang, Lisheng Wang
2026	J	`jnl`	VeriDNS: incremental distributed verification of DNS configurations. Comput. Networks Haizhou Du, Kaiqiang Hu, Yao Wang, Zhihao Guo
2025	—	`conf`	A Communication-Efficient Paradigm for Decentralized Machine Learning with Model Logits. APNet Yiwen Cai, Haizhou Du
2025	—	`conf`	DNS-GraphSentry: A Robust Graph Neural Network Approach for Automated Misconfiguration Diagnosis. APNet Kaiqiang Hu, Haizhou Du
2025	C	`conf`	DNSHolmes: A Scalable Framework for DNS Repair Using Large Language Models. IPCCC Kaiqiang Hu, Haizhou Du, Ziyi Wang
2025	—	`conf`	DNScope: Detecting DNS Misconfigurations through Graph Neural Static Reasoning. FMANO@SIGCOMM Kaiqiang Hu, Haizhou Du, Ziyi Wang
2025	A	`conf`	Decoupling Feature Entanglement for Personalized Federated Learning via Neural Collapse. CIKM Haizhou Du, Pengfei Li
2025	A	`conf`	FedHigh: A Graph-Guided Aggregation Framework for Layer-Wised Personalized Federated Learning. ECAI Haizhou Du, Chongyi Qiu, Huan Huo
2025	—	`conf`	FedHyperClass: Boosting Cross-Modal Consensus for Federated Learning with Unimodal Clients. ICA3PP (2) Haizhou Du, Chongyi Qiu
2025	—	`conf`	Fedcab: A Novel Communication Compression Method for Efficient Federated Learning under Dynamic Bandwidth. APNet Tonghao Chen, Haizhou Du
2025	J	`jnl`	Janus: Leveraging Incremental Computation for Efficient DNS Verification. CoRR Yao Wang, Kexin Yu, Wenyun Xu, Kaiqiang Hu, Ziyi Wang, Lizhao You, Qiang Su, Dong Guo, Haizhou Du, Wanjian Feng, Qingyu Song, Linghe Kong, Qiao Xiang, Jiwu Shu
2025	J	`jnl`	Toward Verifying and Interpreting Learning-Based Networking Systems With SMT. IEEE Trans. Netw. Haohao Song, Yuling Lin, Yangfan Huang, Haizhou Du, Qiao Xiang, Yijian Chen, Linghe Kong, Qiang Li, Franck Le, Jiwu Shu
2024	—	`conf`	A Data-Driven Coordinated Active and Reactive Dispatching Strategy for Photovoltaics. ICPCSEE (3) Ye Xu, Haizhou Du
2024	—	`conf`	A Distributed Multi-microgrid Intelligent Scheduling for New Power System. ICPCSEE (1) Xiaohan Guo, Haizhou Du, Weina Zhang
2024	J	`jnl`	A unified momentum-based paradigm of decentralized SGD for non-convex models and heterogeneous data. Artif. Intell. Haizhou Du, Chaoqian Cheng, Chengdong Ni
2024	—	`conf`	An Efficient Anomaly Detection Model of Power Consumption Behavior for Industrial Customers. BESC Jiayu Wang, Yun Chen, Ran Geng, Wenkai Zhao, Zhijun Pan, Chaoran Fu, Xiaohui Wang, Tonghao Chen, Yiwen Cai, Haizhou Du
2024	J	`jnl`	An efficient federated learning framework for graph learning in hyperbolic space. Knowl. Based Syst. Haizhou Du, Conghao Liu, Haotian Liu, Xiaoyu Ding, Huan Huo
2024	—	`conf`	Causal Inference KGC: A Multi-Hop Reasoning Framework Over Sparse Knowledge Graph. BESC Chen Shen, Haizhou Du, Pengfei Li
2024	—	`conf`	Context Dynamics Tracking and Curriculum Learning for Emotion Recognition in Conversation. BESC Feifei Xu, Jiahao Lu, Haizhou Du, Wang Zhou, Ziheng Yu, Tao Sun
2024	—	`conf`	DCCN-Informer: An Attention-Based Long Time Series Prediction Method for Power Load. BESC Rongkai Zhang, Haizhou Du, Xuewen Lv
2024	—	`conf`	FedPrime: An Adaptive Critical Learning Periods Control Framework for Efficient Federated Learning in Heterogeneity Scenarios. ECML/PKDD (5) Haizhou Du, Zhiyuan Yang
2024	J	`jnl`	FedSwarm: An Adaptive Federated Learning Framework for Scalable AIoT. IEEE Internet Things J. Haizhou Du, Chengdong Ni, Chaoqian Cheng, Qiao Xiang, Xi Chen, Xue Liu
2024	—	`conf`	FedZipper: A Layer-wise Quantization Compression Framework for Federated Learning with Statistical Heterogeneity. NPC (2) Haizhou Du, Yan Peng
2024	C	`conf`	FlowSeer: A Novel Framework for Generalized Network Performance Estimation at Flow Level. CSCWD Haizhou Du, Ming Li
2024	—	`conf`	Heracles: A Novel State-based Distributed Verification Framework for DNS Configurations. FMANO@SIGCOMM Kaiqiang Hu, Haizhou Du, Yao Wang
2024	A*	`conf`	HyperPrism: An Adaptive Non-linear Aggregation Framework for Distributed Machine Learning over Non-IID Data and Time-varying Communication Links. NeurIPS Haizhou Du, Yijian Chen, Ryan Yang, Yuchen Li, Linghe Kong
2024	—	`conf`	Rethinking DNS Configuration Verification with a Distributed Architecture. APNet Yao Wang, Kexin Yu, Ziyi Wang, Kaiqiang Hu, Haizhou Du, Qiao Xiang, Xing Fang, Geng Li, Ruiting Zhou, Linghe Kong, Jiwu Shu
2024	—	`conf`	Trafficnet: A Novel Network Performance Prediction Model via Aggregator-Based Enhancement. ICPCSEE (3) Ming Li, Haizhou Du
2023	J	`jnl`	A Unified Momentum-based Paradigm of Decentralized SGD for Non-Convex Models and Heterogeneous Data. CoRR Haizhou Du, Chengdong Ni
2023	J	`jnl`	An efficient federated learning framework for multi-channeled mobile edge network with layered gradient compression. Comput. Networks Haizhou Du, Yijian Chen, Xiaojie Feng, Qiao Xiang, Haoyu Liu
2023	J	`jnl`	An efficient joint framework for interacting knowledge graph and item recommendation. Knowl. Inf. Syst. Haizhou Du, Yue Tang, Zebang Cheng
2023	Misc	`conf`	Baileys: An Efficient Distributed Machine Learning Framework by Dynamic Grouping. ICMLC Chengdong Ni, Haizhou Du
2023	J	`jnl`	Heterogeneous Reinforcement Learning Network for Aspect-Based Sentiment Classification With External Knowledge. IEEE Trans. Affect. Comput. Yukun Cao, Yijia Tang, Haizhou Du, Feifei Xu, Ziyue Wei, ChengKun Jin
2023	B	`conf`	Toward a Unified Framework for Verifying and Interpreting Learning-Based Networking Systems. IWQoS Yangfan Huang, Yuling Lin, Haizhou Du, Yijian Chen, Haohao Song, Linghe Kong, Qiao Xiang, Qiang Li, Franck Le, Jiwu Shu
2023	B	`conf`	What Appears Suboptimal May Surprise You: A Fixed-Rate Scheduling Policy for Geo-Distributed CoFlows. ICPADS Haoyu Liu, Feiyan Ding, Yao Wang, Qiao Xiang, Jiwu Shu, Haizhou Du, Linghe Kong, Xue Liu
2022	J	`jnl`	Achieving Efficient Distributed Machine Learning Using a Novel Non-Linear Class of Aggregation Functions. CoRR Haizhou Du, Ryan Yang, Yijian Chen, Qiao Xiang, Andre Wibisono, Wei Huang
2022	—	`conf`	Aggregation in the Mirror Space (AIMS): Fast, Accurate Distributed Machine Learning in Military Settings. MILCOM Ryan Yang, Haizhou Du, Andre Wibisono, Patrick Baker
2022	J	`jnl`	Aggregation in the Mirror Space (AIMS): Fast, Accurate Distributed Machine Learning in Military Settings. CoRR Ryan Yang, Haizhou Du, Andre Wibisono, Patrick Baker
2022	J	`jnl`	Finder: A novel approach of change point detection for multivariate time series. Appl. Intell. Haizhou Du, Ziyi Duan
2022	J	`jnl`	Isomer: Transfer enhanced dual-channel heterogeneous dependency attention network for aspect-based sentiment classification. Knowl. Based Syst. Yukun Cao, Yijia Tang, Haizhou Du, Feifei Xu, Ziyue Wei, ChengKun Jin
2022	J	`jnl`	Nostradamus: A novel event propagation prediction approach with spatio-temporal characteristics in non-Euclidean space. Neural Networks Haizhou Du, Yan Zhou
2022	—	`conf`	Orchestra: adaptively accelerating distributed deep learning in heterogeneous environments. CF Haizhou Du, Sheng Huang, Qiao Xiang
2022	—	`conf`	Sailfish: A Fast Bayesian Change Point Detection Framework with Gaussian Process for Time Series. ICANN (3) Haizhou Du, Yang Zheng
2021	J	`jnl`	Astrologer: Exploiting graph neural Hawkes process for event propagation prediction with spatio-temporal characteristics. Knowl. Based Syst. Haizhou Du, Yan Zhou, Yunpu Ma, Shiwei Wang
2021	J	`jnl`	CPMAN: Change Point Detection Approach in Time Series Based on the Prediction of Multi-stage Attention Networks. Int. J. Artif. Intell. Tools Haizhou Du, Ziyi Duan, Yang Zheng
2021	—	`conf`	FLZip: An Efficient and Privacy-Preserving Framework for Cross-Silo Federated Learning. iThings/GreenCom/CPSCom/SmartData/Cybermatics Xiaojie Feng, Haizhou Du
2021	J	`jnl`	Isomer: Transfer enhanced Dual-Channel Heterogeneous Dependency Attention Network for Aspect-based Sentiment Classification. CoRR Yukun Cao, Yijia Tang, Ziyue Wei, ChengKun Jin, Zeyu Miao, Yixin Fang, Haizhou Du, Feifei Xu
2021	J	`jnl`	Stargazer: Toward efficient data analytics scheduling via task completion time inference. Comput. Electr. Eng. Haizhou Du, Keke Zhang, Qiao Xiang
2021	C	`conf`	Symbiosis: A Novel Framework for Integrating Hierarchies from Knowledge Graph into Recommendation System. KSEM Haizhou Du, Yue Tang
2021	J	`jnl`	Toward Efficient Federated Learning in Multi-Channeled Mobile Edge Network with Layerd Gradient Compression. CoRR Haizhou Du, Xiaojie Feng, Qiao Xiang, Haoyu Liu
2021	B	`conf`	Trident: Change Point Detection for Multivariate Time Series via Dual-Level Attention Learning. ACIIDS Ziyi Duan, Haizhou Du, Yang Zheng
2021	J	`jnl`	Vulcan: Solving the Steiner Tree Problem with Graph Neural Networks and Deep Reinforcement Learning. CoRR Haizhou Du, Zong Yan, Qiao Xiang, Qinqing Zhan
2021	J	`jnl`	XFinder: Detecting Unknown Anomalies in Distributed Machine Learning Scenario. Frontiers Comput. Sci. Haizhou Du, Shiwei Wang, Huan Huo
2020	A	`conf`	Controllable Multi-Character Psychology-Oriented Story Generation. CIKM Feifei Xu, Xinpeng Wang, Yunpu Ma, Volker Tresp, Yuyi Wang, Shanlin Zhou, Haizhou Du
2020	J	`jnl`	Controllable Multi-Character Psychology-Oriented Story Generation. CoRR Feifei Xu, Xinpeng Wang, Yunpu Ma, Volker Tresp, Yuyi Wang, Shanlin Zhou, Haizhou Du
2020	—	`conf`	Dawn: Co-programming Distributed Applications with Network Control. NAI@SIGCOMM Shuhe Wang, Dong Guo, Wei Jiang, Haizhou Du, Mingwei Xu
2020	J	`jnl`	Hawkeye: Adaptive Straggler Identification on Heterogeneous Spark Cluster With Reinforcement Learning. IEEE Access Haizhou Du, Shaohua Zhang
2020	J	`jnl`	MonkeyKing: Adaptive Parameter Tuning on Big Data Platforms with Deep Reinforcement Learning. Big Data Haizhou Du, Ping Han, Qiao Xiang, Sheng Huang
2019	J	`jnl`	A novel graph compression algorithm for data-intensive scientific networks. Int. J. High Perform. Comput. Netw. Xiao Lin, Haizhou Du, Shenshen Chen
2019	—	`conf`	Cheetah: A Dynamic Performance Optimization Approach on Heterogeneous Big Data Analytics Cluster. BigCom Haizhou Du, Shaohua Zhang, Ping Han, Keke Zhang, Bin Xu
2019	J	`jnl`	Hephaistos: A fast and distributed outlier detection approach for big mixed attribute data. Intell. Data Anal. Haizhou Du, Wei Fang, Yi Wang
2019	—	`conf`	Multi-Stage Mixed Attribute Outlier Detection Algorithm Based on Neighborhood Density Difference. BigCom Haizhou Du, Wei Fang, Qing Liu, Zhenchen Yang, Xiaofeng Wang
2019	B	`conf`	OctopusKing: A TCT-Aware Task Scheduling on Spark Platform. ICPADS Haizhou Du, Keke Zhang, Sheng Huang
2018	—	`conf`	FASTBEE: A Fast and Self-Adaptive Clustering Algorithm Towards to Edge Computing. CSCloud/EdgeCom Haizhou Du, Shuqing Zeng, Tingting Dou, Wei Fang, Yi Wang, Chenlu Zhang
2018	—	`conf`	Hierarchical Gated Convolutional Networks with Multi-Head Attention for Text Classification. ICSAI Haizhou Du, Jingu Qian
2018	—	`conf`	MMDBC: Density-Based Clustering Algorithm for Mixed Attributes and Multi-dimension Data. BigComp Haizhou Du, Wei Fang, Haining Huang, Shuqing Zeng
2018	—	`conf`	Octopus: Based on Congestion-aware Scheduling on Geo-distributed Big Data Analytics Cluster. ICSAI Haizhou Du, Keke Zhang, Zhenchen Yang
2018	—	`conf`	Otterman: A Novel Approach of Spark Auto-tuning by a Hybrid Strategy. ICSAI Haizhou Du, Ping Han, Wei Chen, Yi Wang, Chenlu Zhang
2016	—	`conf`	A Novel Text Feature Weight Calculation Method Applied to Power Field. Trustcom/BigDataSE/ISPA Haizhou Du, Zhengbo Chen, Qifen Li, Yongwen Yang
2016	—	`conf`	Novel clustering-based approach for Local Outlier Detection. INFOCOM Workshops Haizhou Du, Shengjie Zhao, Daqiang Zhang, Jinsong Wu
2016	J	`jnl`	Robust K-means algorithm with automatically splitting and merging clusters and its applications for surveillance data. Multim. Tools Appl. Jingsheng Lei, Teng Jiang, Kui Wu, Haizhou Du, Guokang Zhu, Zhaoqing Wang
2015	—	`conf`	Robust Local Outlier Detection. ICDM Workshops Haizhou Du, Shengjie Zhao, Daqiang Zhang
2015	J	`jnl`	Robust local outlier detection with statistical parameter for big data. Comput. Syst. Sci. Eng. Jingsheng Lei, Teng Jiang, Kui Wu, Haizhou Du, Lin Zhu
2012	—	`conf`	A fuzzy clustering algorithm based on interval valued fuzzy sets. FSKD Haizhou Du, Weiguo Pan
2011	—	`conf`	An Efficient Fuzzy Rough Approach for Feature Selection. RSKT Feifei Xu, Weiguo Pan, Lai Wei, Haizhou Du
2011	—	`conf`	Study of a Fuzzy Clustering Algorithm Based on Interval Value. WISM (1) Haizhou Du