Finder: A novel approach of change point detection for multivariate time series von Du, Haizhou, Duan, Ziyi

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Hawkeye: Adaptive Straggler Identification on Heterogeneous Spark Cluster With Reinforcement Learning von Du, Haizhou, Zhang, Shaohua

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Enhancing Machine Comprehension Using Multi-Knowledge Bases and Offline Answer Span Improving System von Feifei Xu, Feifei Xu, Feifei Xu, Wenkai Zhang, Wenkai Zhang, Haizhou Du, Haizhou Du, Shanlin Zhou

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XFinder: Detecting Unknown Anomalies in Distributed Machine Learning Scenario von Du, Haizhou, Wang, Shiwei, Huo, Huan

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Nostradamus: A novel event propagation prediction approach with spatio-temporal characteristics in non-Euclidean space von Du, Haizhou, Zhou, Yan

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A unified momentum-based paradigm of decentralized SGD for non-convex models and heterogeneous data von Du, Haizhou, Cheng, Chaoqian, Ni, Chengdong

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An efficient joint framework for interacting knowledge graph and item recommendation von Du, Haizhou, Tang, Yue, Cheng, Zebang

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An efficient federated learning framework for graph learning in hyperbolic space von Du, Haizhou, Liu, Conghao, Liu, Haotian, Ding, Xiaoyu, Huo, Huan

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An efficient federated learning framework for multi-channeled mobile edge network with layered gradient compression von Du, Haizhou, Chen, Yijian, Feng, Xiaojie, Xiang, Qiao, Liu, Haoyu

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Astrologer: Exploiting graph neural Hawkes process for event propagation prediction with spatio-temporal characteristics von Du, Haizhou, Zhou, Yan, Ma, Yunpu, Wang, Shiwei

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Stargazer: Toward efficient data analytics scheduling via task completion time inference von Du, Haizhou, Zhang, Keke, Xiang, Qiao

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FedPrime: An Adaptive Critical Learning Periods Control Framework for Efficient Federated Learning in Heterogeneity Scenarios von Du, Haizhou, Yang, Zhiyuan

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Isomer: Transfer enhanced dual-channel heterogeneous dependency attention network for aspect-based sentiment classification von Cao, Yukun, Tang, Yijia, Du, Haizhou, Xu, Feifei, Wei, Ziyue, Jin, Chengkun

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Sailfish: A Fast Bayesian Change Point Detection Framework with Gaussian Process for Time Series von Du, Haizhou, Zheng, Yang

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Heterogeneous Reinforcement Learning Network for Aspect-based Sentiment Classification with External Knowledge von Cao, Yukun, Tang, Yijia, Du, Haizhou, Xu, Feifei, Wei, Ziyue, Jin, Chengkun

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Hephaistos: A fast and distributed outlier detection approach for big mixed attribute data von Du, Haizhou, Fang, Wei, Wang, Yi

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FedSwarm: An Adaptive Federated Learning Framework for Scalable AIoT von Du, Haizhou, Ni, Chengdong, Cheng, Chaoqian, Xiang, Qiao, Chen, Xi, Liu, Xue

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Symbiosis: A Novel Framework for Integrating Hierarchies from Knowledge Graph into Recommendation System von Du, Haizhou, Tang, Yue

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MonkeyKing: Adaptive Parameter Tuning on Big Data Platforms with Deep Reinforcement Learning von Du, Haizhou, Han, Ping, Xiang, Qiao, Huang, Sheng

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Robust K-means algorithm with automatically splitting and merging clusters and its applications for surveillance data von Lei, Jingsheng, Jiang, Teng, Wu, Kui, Du, Haizhou, Zhu, Guokang, Wang, Zhaoqing

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