Table of Contents

• Trajectory Completion via Context-Guided Neural Filtering and EncodingDi Yao 0001, Fangda Guo, Zhenyu Wen, Yu Guo 0003, Peng Cheng, Yangyuan He, Jingping Bi. 3-19 [doi]
• Event Time Prediction via Survival Analysis Based Multivariate Transformer Point ProcessYan Zhou, Xiaodong Li. 20-36 [doi]
• On Compressing Historical Cliques in Temporal GraphsKaiyu Chen, Dong Wen 0001, Wentao Li 0001, Zhengyi Yang 0001, Wenjie Zhang 0001. 37-53 [doi]
• Exploring Idealized Regional Match for Cross-City Cross-Mode Traffic Flow PredictionGuoliang Shi, Qiang Zhou, Jingjing Gu. 54-69 [doi]
• MIPM: A Multidimensional Information Perception Model for Estimating Time of Arrival on Real Road NetworksTangpeng Dan, Xiao Pan, Yingtao Peng, Haojie Wei, Xiaofeng Meng 0001. 70-85 [doi]
• Parallel Processing of Temporal Anti-Joins in MemoryIoannis Reppas, Meghdad Mirabi, Leila Fathi, Carsten Binnig, Anton Dignös, Johann Gamper. 86-102 [doi]
• TimeGAE: A Multivariate Time-Series Generation Method via Graph Auto EncoderZhao Bai, Fangda Guo, Yuxin Xi, Zhuoming Zhu, Yu Guo 0003, Rongfang Bie. 103-118 [doi]
• Beyond SweepLine: Efficient MaxRS Queries over Inaccurate Location DataYuanjun Liu, Zhengcao Zhang, Jianfeng Qu, Guanfeng Liu, An Liu. 119-135 [doi]
• Simulating Individual Infection Risk over Big Trajectory DataHaiyan Wang, Shanshan Feng, Lisi Chen, Yang Liu, Shuo Shang. 136-151 [doi]
• Flexible Contact Correlation Learning on Spatio-Temporal TrajectoriesChenhao Wang, Lisi Chen, Shanshan Feng, Shuo Shang. 152-168 [doi]
• Inductive Spatial Temporal Prediction Under Data Drift with Informative Graph Neural NetworkJialun Zheng, Divya Saxena, Jiannong Cao 0001, Hanchen Yang, Penghui Ruan. 169-185 [doi]
• STS2ANet: Spatio-Temporal Synchronized Sliding Attention Network for Accurate Cross-Day Origin-Destination PredictionHaoli Wang, Jiangnan Xia, Yu Yang 0012, Senzhang Wang, Jiannong Cao 0001. 186-202 [doi]
• Streaming Trajectory Segmentation Based on Stay-Point DetectionYangYang Sun, Fei Meng, Ruiyuan Li, Yongxin Tang, Chao Chen 0004, Jiang Zhong. 203-213 [doi]
• A Hierarchy-Aware Approach to Cross-Region Spatial-Temporal Inference of Unarchived Event in Urban Mobility InfrastructureFandel Lin, Hsun-Ping Hsieh. 214-224 [doi]
• POI-Based Traffic Generation via Supervised Contrastive Learning on Reconstructed GraphZiyang Su, Zhanyu Liu, Jianrong Ding, Guanjie Zheng. 225-234 [doi]
• STMGF: An Effective Spatial-Temporal Multi-granularity Framework for Traffic ForecastingZhengyang Zhao, Haitao Yuan, Nan Jiang, Minxiao Chen, Ning Liu, Zengxiang Li. 235-245 [doi]
• One Size Cannot Fit All: A Self-adaptive Dispatcher for Skewed Hash Join in Shared-Nothing RDBMSsJinxin Yang, Hui Li 0005, Wenlong Song, Yiming Si, Hui Zhang, Kankan Zhao, Kewei Wei, Yingfan Liu, JiangTao Cui. 249-265 [doi]
• + : Query Aware Database Generation for Match OperatorsHao Li, Qingshuai Wang, Zirui Hu, Xuhua Huang, Lyu Ni, Rong Zhang 0002, Peng Cai, Xuan Zhou 0001, Quanqing Xu. 266-282 [doi]
• CPCF: A Flexible Chunking and Proactive Insertion Cuckoo FilterWendi Hua, Ping Xie, Xiao Qin, Rui Mao 0001, Yan Ji, Hao Chen, Hua Yan, Jianbin Qin. 283-298 [doi]
• Optimal Update Repair with Maximum Likelihood and Minimum CostWenyu Li, Anzhen Zhang, Chuanyu Zong, Rui Zhu 0003, Tao Qiu. 299-314 [doi]
• SPQO: Learning to Safely Reuse Cached Plans for Dynamic WorkloadsSijia Li, Peng Cai, Yiqi Shen, Huiqi Hu, Rong Zhang 0002, Xuan Zhou 0001, Xuquan Qing, Ri Zhao. 315-330 [doi]
• MODT: Multi-Objective Database Tuner Using Hierarchical Reinforcement LearningKecheng Luo, Jun-Peng Zhu, Peng Cai, Aoying Zhou. 331-347 [doi]
• ACEKV: An In-Memory Key-Value Store with Optimized Cuckoo InsertionHuijuan Xiao, Wenbin Bao, Kai Zhang 0006, Zhenying He, Yinan Jing, X. Sean Wang. 348-356 [doi]
• SLSM: An Efficient Strategy for Lazy Schema Migration on Shared-Nothing DatabasesZhilin Zeng, Hui Li, Xiyue Gao, Hui Zhang, Huiquan Zhang, JiangTao Cui. 357-367 [doi]
• Graph-Specific Schema-Guided Query OptimizationChaijun Xu, Yunlong Liang, Yu Zhang, HaiRong Hu, Jingjing Huang, Kaiwei Li, Tao Wang, Yanyong Zhang. 368-378 [doi]
• SEDIT: Space-Efficient Discriminative Bit Tree for Hybrid Memory IndexingZexuan Li, Yuanjin Lin, Kaixin Huang, Kuankuan Guo, Linpeng Huang. 379-389 [doi]
• FedDGCL: Federated Graph Neural Network with Dual Graph Contrast Learning for Multivariable Time Series ForecastingYe Zhou, Yu Guo 0003, Fangda Guo, Fangming Jing, Jiangrong Yang, Rongfang Bie. 393-408 [doi]
• VFDV-IM: An Efficient and Securely Vertical Federated Data ValuationXiaokai Zhou, Xiao Yan 0002, Xinyan Li, Hao Huang 0001, Quanqing Xu, Qinbo Zhang, Yen Jerome, Zhaohui Cai, Jiawei Jiang 0001. 409-424 [doi]
• TreeCSS: An Efficient Framework for Vertical Federated LearningQinbo Zhang, Xiao Yan 0002, Yukai Ding, Quanqing Xu, Chuang Hu, Xiaokai Zhou, Jiawei Jiang 0001. 425-441 [doi]
• An Efficient SVM-Based Method for Client Access Permission Distribution in Federated LearningXuanran Yu, Yue Cui, Kai Zheng. 442-456 [doi]
• Enhancing Privacy of Spatiotemporal Federated Learning Against Gradient Inversion AttacksLele Zheng, Yang Cao 0011, Renhe Jiang, Kenjiro Taura, Yulong Shen, Sheng Li 0010, Masatoshi Yoshikawa. 457-473 [doi]
• FedSig: A Federated Graph Augmentation for Class-Imbalanced Node ClassificationBei Bi, Zhiwei Zhang, Pengpeng Qiao, Ye Yuan 0001, Guoren Wang. 474-490 [doi]
• A Federated Learning Framework Using a Secure, Controllable and Efficient Multi-Key Homomorphic Encryption SchemeYuhan Cai, Wei Song. 491-500 [doi]
• Mediate: Mixture Domain Model-Agnostic Federated LearningChang Liu 0078, Yuwen Yang, Xun Cai, Yue Ding 0001, Hongtao Lu. 501-510 [doi]
• Privacy-Preserving and Efficient Model Aggregation in Edge-Assisted Federated LearningShuyang Wang, Hongcheng Xie, Yu Guo 0003, Fangda Guo, Fangming Jing, Rongfang Bie. 511-521 [doi]