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ORCID29th DASFAA 2024: Gifu, Japan - Part I
- Makoto Onizuka
, Jae-Gil Lee, Yongxin Tong, Chuan Xiao, Yoshiharu Ishikawa, Sihem Amer-Yahia, H. V. Jagadish, Kejing Lu:
Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14850, Springer 2024, ISBN 978-981-97-5551-6
Spatial and Temporal Data
- Di Yao, Fangda Guo, Zhenyu Wen, Yu Guo, Peng Cheng, Yangyuan He, Jingping Bi:
Trajectory Completion via Context-Guided Neural Filtering and Encoding. 3-19 - Yan Zhou, Xiaodong Li:
Event Time Prediction via Survival Analysis Based Multivariate Transformer Point Process. 20-36 - Kaiyu Chen, Dong Wen, Wentao Li, Zhengyi Yang, Wenjie Zhang:
On Compressing Historical Cliques in Temporal Graphs. 37-53 - Guoliang Shi, Qiang Zhou, Jingjing Gu:
Exploring Idealized Regional Match for Cross-City Cross-Mode Traffic Flow Prediction. 54-69 - Tangpeng Dan, Xiao Pan, Yingtao Peng, Haojie Wei, Xiaofeng Meng:
MIPM: A Multidimensional Information Perception Model for Estimating Time of Arrival on Real Road Networks. 70-85 - Ioannis Reppas, Meghdad Mirabi, Leila Fathi, Carsten Binnig, Anton Dignös, Johann Gamper:
Parallel Processing of Temporal Anti-Joins in Memory. 86-102 - Zhao Bai, Fangda Guo, Yuxin Xi, Zhuoming Zhu, Yu Guo, Rongfang Bie:
TimeGAE: A Multivariate Time-Series Generation Method via Graph Auto Encoder. 103-118 - Yuanjun Liu, Zhengcao Zhang, Jianfeng Qu, Guanfeng Liu, An Liu:
Beyond SweepLine: Efficient MaxRS Queries over Inaccurate Location Data. 119-135 - Haiyan Wang, Shanshan Feng, Lisi Chen, Yang Liu, Shuo Shang:
Simulating Individual Infection Risk over Big Trajectory Data. 136-151 - Chenhao Wang, Lisi Chen, Shanshan Feng, Shuo Shang:
Flexible Contact Correlation Learning on Spatio-Temporal Trajectories. 152-168 - Jialun Zheng, Divya Saxena, Jiannong Cao, Hanchen Yang, Penghui Ruan:
Inductive Spatial Temporal Prediction Under Data Drift with Informative Graph Neural Network. 169-185 - Haoli Wang, Jiangnan Xia, Yu Yang, Senzhang Wang, Jiannong Cao:
STS2ANet: Spatio-Temporal Synchronized Sliding Attention Network for Accurate Cross-Day Origin-Destination Prediction. 186-202 - Yangyang Sun, Fei Meng, Ruiyuan Li, Yongxin Tang, Chao Chen, Jiang Zhong:
Streaming Trajectory Segmentation Based on Stay-Point Detection. 203-213 - Fandel Lin, Hsun-Ping Hsieh:
A Hierarchy-Aware Approach to Cross-Region Spatial-Temporal Inference of Unarchived Event in Urban Mobility Infrastructure. 214-224 - Ziyang Su, Zhanyu Liu, Jianrong Ding, Guanjie Zheng:
POI-Based Traffic Generation via Supervised Contrastive Learning on Reconstructed Graph. 225-234 - Zhengyang Zhao, Haitao Yuan, Nan Jiang, Minxiao Chen, Ning Liu, Zengxiang Li:
STMGF: An Effective Spatial-Temporal Multi-granularity Framework for Traffic Forecasting. 235-245
Database Core Technology
- Jinxin Yang, Hui Li, Wenlong Song, Yiming Si, Hui Zhang, Kankan Zhao, Kewei Wei, Yingfan Liu, Jiangtao Cui:
One Size Cannot Fit All: A Self-adaptive Dispatcher for Skewed Hash Join in Shared-Nothing RDBMSs. 249-265 - Hao Li, Qingshuai Wang, Zirui Hu, Xuhua Huang, Lyu Ni, Rong Zhang, Peng Cai, Xuan Zhou, Quanqing Xu:
Touchstone+ : Query Aware Database Generation for Match Operators. 266-282 - Wendi Hua, Ping Xie, Xiao Qin, Rui Mao, Yan Ji, Hao Chen, Hua Yan, Jianbin Qin:
CPCF: A Flexible Chunking and Proactive Insertion Cuckoo Filter. 283-298 - Wenyu Li, Anzhen Zhang, Chuanyu Zong, Rui Zhu, Tao Qiu:
Optimal Update Repair with Maximum Likelihood and Minimum Cost. 299-314 - Sijia Li, Peng Cai, Yiqi Shen, Huiqi Hu, Rong Zhang, Xuan Zhou, Xuquan Qing, Ri Zhao:
SPQO: Learning to Safely Reuse Cached Plans for Dynamic Workloads. 315-330 - Kecheng Luo, Jun-Peng Zhu, Peng Cai, Aoying Zhou:
MODT: Multi-Objective Database Tuner Using Hierarchical Reinforcement Learning. 331-347 - Huijuan Xiao, Wenbin Bao, Kai Zhang, Zhenying He, Yinan Jing, X. Sean Wang:
ACEKV: An In-Memory Key-Value Store with Optimized Cuckoo Insertion. 348-356 - Zhilin Zeng, Hui Li, Xiyue Gao, Hui Zhang, Huiquan Zhang, Jiangtao Cui:
SLSM: An Efficient Strategy for Lazy Schema Migration on Shared-Nothing Databases. 357-367 - Chaijun Xu, Yunlong Liang, Yu Zhang, Hairong Hu, Jingjing Huang, Kaiwei Li, Tao Wang, Yanyong Zhang:
Graph-Specific Schema-Guided Query Optimization. 368-378 - Zexuan Li, Yuanjin Lin, Kaixin Huang, Kuankuan Guo, Linpeng Huang:
SEDIT: Space-Efficient Discriminative Bit Tree for Hybrid Memory Indexing. 379-389
Federated Learning
- Ye Zhou, Yu Guo, Fangda Guo, Fangming Jing, Jiangrong Yang, Rongfang Bie:
FedDGCL: Federated Graph Neural Network with Dual Graph Contrast Learning for Multivariable Time Series Forecasting. 393-408 - Xiaokai Zhou, Xiao Yan, Xinyan Li, Hao Huang, Quanqing Xu, Qinbo Zhang, Yen Jerome, Zhaohui Cai, Jiawei Jiang:
VFDV-IM: An Efficient and Securely Vertical Federated Data Valuation. 409-424 - Qinbo Zhang, Xiao Yan, Yukai Ding, Quanqing Xu, Chuang Hu, Xiaokai Zhou, Jiawei Jiang:
TreeCSS: An Efficient Framework for Vertical Federated Learning. 425-441 - Xuanran Yu, Yue Cui, Kai Zheng:
An Efficient SVM-Based Method for Client Access Permission Distribution in Federated Learning. 442-456 - Lele Zheng, Yang Cao, Renhe Jiang, Kenjiro Taura, Yulong Shen, Sheng Li, Masatoshi Yoshikawa:
Enhancing Privacy of Spatiotemporal Federated Learning Against Gradient Inversion Attacks. 457-473 - Bei Bi, Zhiwei Zhang, Pengpeng Qiao, Ye Yuan, Guoren Wang:
FedSig: A Federated Graph Augmentation for Class-Imbalanced Node Classification. 474-490 - Yuhan Cai, Wei Song:
A Federated Learning Framework Using a Secure, Controllable and Efficient Multi-Key Homomorphic Encryption Scheme. 491-500 - Chang Liu, Yuwen Yang, Xun Cai, Yue Ding, Hongtao Lu:
Mediate: Mixture Domain Model-Agnostic Federated Learning. 501-510 - Shuyang Wang, Hongcheng Xie, Yu Guo, Fangda Guo, Fangming Jing, Rongfang Bie:
Privacy-Preserving and Efficient Model Aggregation in Edge-Assisted Federated Learning. 511-521
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