华为云数据库创新LAB论文列表
【摘要】 本文列举华为云数据库创新LAB近年发表的论文。
Year 2024
1. A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data
Hao Miao,Jiandong Xie,Feiteng Huang,Kai Zheng
ICDE 2024
论文解读敬请期待
2. ESTELLE: An Efficient and Cost-effective Cloud Log Engine
Yupu Zhang, Guanglin Cong,Jihan Qu,Ran Xu,Yuan Fu,Weiqi Li,Feiran Hu,Jing Liu,Wenliang Zhang,Kai Zheng
SIGMOD 2024
3. Temporal-Frequency Masked Autoencoders for Time Series Anomaly Detection
Yuchen Fang, Jiandong Xie, Yan Zhao, Yunjun Gao, Kai Zheng
ICDE 2024 暂不能检索
论文解读敬请期待
4. TenGraph: A Tensor-Based Graph Query Engine
Guanhua Li, Hao Zhang, Xibo Sun, Qiong Luo, Yuanyuan Zhu
PVLDB 2024 暂不能检索
论文解读敬请期待
5. Label Constrained Reacability Queries on Time Dependent Graphs
Yishu Wang, Jinlong Chu, Ye Yuan, Yu Gu, Hangxu Ji, Hao Zhang
ICDE 2024 暂不能检索
论文解读敬请期待
6. Attributed Network Embedding in Streaming Style
Anbiao Wu, Ye Yuan, Changsheng Li, Yuliang Ma, Hao Zhang
ICDE 2024 暂不能检索
论文解读敬请期待
7. GaussDB-AISQL: Putting SQL in the Hands of Multimedia Users
Cheng Chen,Wenlong Ma,Congli Gao,Yueguo Chen,Xiaoyong Du,Wenliang Zhang
ACM Multimedia 2024 暂不能检索
论文解读敬请期待
Year 2023
1. Learned Bloom Filter for Multi-key Membership
Yunchuan Li, Ziwei Wang, Ruixin Yang, Yan Zhao, Rui Zhou, Kai Zheng
DASFAA 2023
论文解读敬请期待
2. Learned sketch for subgraph counting: a holistic approach
Kangfei Zhao, Jeffrey Xu Yu, Qiyan Li, Hao Zhang, Yu Rong
VLDB Journal 2023
论文解读敬请期待
3. SimiDTR: Deep Trajectory Recovery with Enhanced Trajectory Similarity
Yupu Zhang, Liwei Deng, Yan Zhao, Jin Chen, Kai Zheng, Jiandong Xie
DASFAA 2023
论文解读敬请期待
4. Learned Bloom Filter for Multi-key Membership Testing
Yunchuan Li, Ziwei Wang, Ruixin Yang, Yan Zhao, Rui Zhou,Kai Zheng
DASFAA 2023
论文解读敬请期待
5. Impact-aware Maneuver Decision with Enhanced Perception for Autonomous Vehicle
Shuncheng Liu,Yuyang Xia,Xu Chen,Jiandong Xie,Han Su,Kai Zheng
ICDE 2023
论文解读敬请期待
6. Deep learning based Bloom filter for efficient multi-key membership testing
haitian chen, ziwei wang, yunchuan li, ruixin yang, yan zhao, rui zhou, kai zheng
Data Science and Engineering 2023
论文解读敬请期待
7. Efficient Cardinality and Cost Estimation with Bidirectional Compressor-based Ensemble Learning
Zibo Liang, Xu Chen, Yan Zhao, Jiandong Xie, Kai Zeng, Kai Zheng
IEEE International Conference on Data Mining (ICDM)
Year 2022
1. Skeena: Efficient and Consistent Cross-Engine Transactions
by Jianqiu Zhang,Kaisong Huang,Tianzheng Wang,King Lv
SIGMOD 2022
论文解读敬请期待
2. HiEngine: How to Architect a Cloud-Native Memory-Optimized Database Engine
by Yunus Ma,Siphrey Xie,Henry Zhong,Leon Lee,King Lv
SIGMOD 2022
3. Robust and Explainable Autoencoders for Time Series Outlier Detection
by Tung Kieu,Bin Yang,Chenjuan Guo,Christian S. Jensen,Yan Zhao,Feiteng Huang,Kai Zheng
ICDE 2022
4. A Comparative Study on Unsupervised Anomaly Detection for Time Series Experiments and Analysis
by Yan Zhao,Liwei Deng,Xuanhao Chen,Chenjuan Guo,Bin Yang,Tung Kieu,Feiteng Huang,Torben Bach Pedersen,Kai Zheng,Christian S. Jensen
PVLDB 2022
论文解读敬请期待
5. Efficient Join Order Selection Learning with Graph-based Representation
by Jin Chen,Guanyu Ye,Yan Zhao,Shuncheng Liu,Liwei Deng,Xu Chen,Rui Zhou,Kai Zheng
KDD 2022
论文解读敬请期待
6. Efficient Learning with Pseudo Labels for Query Cost Estimation
Shuncheng Liu, Yan Zhao,Xu Chen,Jin Chen,Han Su,Zhou Rui,zhangzongquan,kai Zheng
CIKM 2022
论文解读敬请期待
7. Index Checkpoints for Instant Recovery in In-Memory Database Systems
by Leon Lee,Siphrey Xie,Yunus Ma,Shimin Chen
PVLDB 2022
8. MARINA:An MLP-Attention Model for Multivariate Time-Series Analysis
by Jiandong Xie, Yue Cui, Feiteng Huang, Chao Liu and Kai Zheng
CIKM 2022
Year 2021
1. Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles
by David Campos,Tung Kieu,Chenjuan Guo,Feiteng Huang,Kai Zheng,Bin Yang,Christian S. Jensen
PVLDB 2021
2. METRO: a generic graph neural network framework for multivariate time series forecasting
by Yue Cui,Kai Zheng,Dingshan Cui,Jiandong Xie,Liwei Deng,Feiteng Huang,Xiaofang Zhou
PVLDB 2021
3. Historical Inertia: A Neglected but Powerful Baseline for Long Sequence Time-series Forecasting
by Yue Cui, Jiandong Xie, Kai Zheng
CIKM 2021
4. PeriodicMove: Shift-aware Human Mobility Recovery with Graph Neural Network
by Hao Sun,Changjie Yang,Liwei Deng,Fan Zhou,Feiteng Huang,Kai Zheng
CIKM 2021
5. DAEMON: Unsupervised Anomaly Detection and Interpretation for Multivariate Time Series
by Xuanhao Chen,Liwei Deng,Feiteng Huang,Chengwei Zhang,Zongquan Zhang,Yan Zhao,Kai Zheng
ICDE 2021
Year 2020
1. Intelligent Index Tuning Approach for Relational Databases
by Tao Qiu,Bin Wang,Zhaowei Shu,Zhibo Zhao,Ziwen Song,Yanhui Zhong
Journal of Software,2020,31(3):634−647
2. Toward Scalable Blockchain for Data Management in VANETs
by El-hacen Diallo,Khaldoun Al Agha,Omar Dib,Alexandre Laubé,Hafedh Mohamed-Babou
Advanced Information Networking and Applications(AINA),2020
Year 2019
1. Efficient Block replication to optimize the blockchain resources
by El-hacen Diallo,Alexandre Laube,Khaldoun Al Agha,Steven Martin
IEEE Cyber Security in Networking Conference (CSNet),2019
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yd_2929403212024/08/23 09:24:261楼编辑删除举报
素晴らしい、たくさんの論文が発表されました。