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40th ICDE 2024: Utrecht, The Netherlands
- 40th IEEE International Conference on Data Engineering, ICDE 2024, Utrecht, The Netherlands, May 13-16, 2024. IEEE 2024, ISBN 979-8-3503-1715-2
- Manasi Ganti, Laurel J. Orr, Sen Wu:
Evaluating Text-to-SQL Model Failures on Real-World Data. 1 - Sha Wang, Yuchen Li, Hanhua Xiao, Zhifeng Bao, Lambert Deng, Yanfei Dong:
Enabling Roll-Up and Drill-Down Operations in News Exploration with Knowledge Graphs for Due Diligence and Risk Management. 1-7 - Hanchen Wang, Kai Wang, Wenjie Zhang, Ying Zhang:
Bipartite Graph Analytics: Current Techniques and Future Trends. 1-7 - Lixi Zhou, K. Selçuk Candan, Jia Zou:
DeepMapping: Learned Data Mapping for Lossless Compression and Efficient Lookup. 1-14 - Tonghui Ren, Yuankai Fan, Zhenying He, Ren Huang, Jiaqi Dai, Can Huang, Yinan Jing, Kai Zhang, Yifan Yang, X. Sean Wang:
PURPLE: Making a Large Language Model a Better SQL Writer. 15-28 - Yi Wang, Jianan Yuan, Shangyu Wu, Huan Liu, Jiaxian Chen, Chenlin Ma, Jianbin Qin:
LeaderKV: Improving Read Performance of KV Stores via Learned Index and Decoupled KV Table. 29-41 - Wei Zhou, Chen Lin, Xuanhe Zhou, Guoliang Li, Tianqing Wang:
TRAP: Tailored Robustness Assessment for Index Advisors via Adversarial Perturbation. 42-55 - Kaixin Zhang, Hongzhi Wang, Yabin Lu, Ziqi Li, Chang Shu, Yu Yan, Donghua Yang:
Duet: Efficient and Scalable Hybrid Neural Relation Understanding. 56-69 - Juncheng Zheng, Meiyu Liang, Yang Yu, Yawen Li, Zhe Xue:
Knowledge Graph Enhanced Multimodal Transformer for Image-Text Retrieval. 70-82 - Zhongwei Yue, Shujian Peng, Peng Cai, Xuan Zhou, Huiqi Hu, Rong Zhang, Quanqing Xu, Chuanhui Yang:
Functionality-Aware Database Tuning via Multi-Task Learning. 83-95 - Roman Heinrich, Carsten Binnig, Harald Kornmayer, Manisha Luthra:
Costream: Learned Cost Models for Operator Placement in Edge-Cloud Environments. 96-109 - Aditya Shankar, Hans Brouwer, Rihan Hai, Lydia Y. Chen:
S i 1 o F use: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion Models. 110-123 - Xinyue Shao, Hongzhi Wang, Xiao Zhu, Tianyu Mu, Yan Zhang:
Explainable Database Management System Configuration Tuning through Counterfactuals. 124-137 - Xingyu Du, Gongsheng Yuan, Sai Wu, Gang Chen, Peng Lu:
In Situ Neural Relational Schema Matcher. 138-150 - Jieming Feng, Zhanhuai Li, Qun Chen:
Towards Exploratory Query Optimization for Template-Based SQL Workloads. 151-164 - Cheryl Lee, Zhouruixin Zhu, Tianyi Yang, Yintong Huo, Yuxin Su, Pinjia He, Michael R. Lyu:
SPES: Towards Optimizing Performance-Resource Trade-Off for Serverless Functions. 165-178 - Mossad Helali, Niki Monjazeb, Shubham Vashisth, Philippe Carrier, Ahmed Helal, Antonio Cavalcante, Khaled Ammar, Katja Hose, Essam Mansour:
KGLiDS: A Platform for Semantic Abstraction, Linking, and Automation of Data Science. 179-192 - Aécio S. R. Santos, Flip Korn, Juliana Freire:
Efficiently Estimating Mutual Information Between Attributes Across Tables. 193-206 - Qifan Zhang, Junjie Yao, Yuquan Yang, Yizhou Shi, Wei Gao, Xiaoling Wang:
Effective Entry-Wise Flow for Molecule Generation. 207-220 - Antonios Kontaxakis, Dimitris Sacharidis, Alkis Simitsis, Alberto Abelló, Sergi Nadal:
HYPPO: Using Equivalences to Optimize Pipelines in Exploratory Machine Learning. 221-234 - Zixuan Chen, Subhodeep Mitra, R. Ravi, Wolfgang Gatterbauer:
HITSnDIFFs: From Truth Discovery to Ability Discovery by Recovering Matrices with the Consecutive Ones Property. 235-248 - Yushi Sun, Jiachuan Wang, Peng Cheng, Libin Zheng, Lei Chen, Jian Yin:
Cross-Domain-Aware Worker Selection with Training for Crowdsourced Annotation. 249-262 - Hao Liu, Jiacheng Liu, Feilong Tang, Peng Li, Long Chen, Jiadi Yu, Yanmin Zhu, Min Gao, Yanqin Yang, Xiaofeng Hou:
Graph Contrastive Learning for Truth Inference. 263-275 - Liwei Deng, Yan Zhao, Yue Cui, Yuyang Xia, Jin Chen, Kai Zheng:
Task Recommendation in Spatial Crowdsourcing: A Trade-Off Between Diversity and Coverage. 276-288 - Yu Chen, Sheng Zhang, Ziying Zhou, Xiaokun Wang, Yu Liang, Ning Chen, Yuting Yan, Mingjun Xiao, Jie Wu, Zhuzhong Qian, Harry Xu:
MACRO: Incentivizing Multi-Leader Game-Based Pareto-Efficient Crowdsourcing for Video Analytics. 289-302 - Xiaoxi Cui, Yurong Cheng, Siyi Zhang, Ye Yuan, Guoren Wang:
Cooperative Global Path Planning for Multiple Platforms. 303-316 - Zhao Liu, Guoqing Xiao, Xu Zhou, Yunchuan Qin, Yunjun Gao, Kenli Li:
Cross Online Assignment of Hybrid Task in Spatial Crowdsourcing. 317-329 - Lei Chai, Lu Qi, Hailong Sun, Jingzheng Li:
RA3: A Human-in-the-loop Framework for Interpreting and Improving Image Captioning with Relation-Aware Attribution Analysis. 330-341 - Zhuowei Zhao, Junhao Gan, Jianzhong Qi, Zhifeng Bao:
Efficient Example-Guided Interactive Graph Search. 342-354 - Xiaoyao Zhong, Jiabao Jin, Peng Cheng, Wangze Ni, Libin Zheng, Lei Chen, Xuemin Lin:
Wait to be Faster: A Smart Pooling Framework for Dynamic Ridesharing. 355-367 - Anna Herlihy, Guillaume Martres, Anastasia Ailamaki, Martin Odersky:
Adaptive Recursive Query Optimization. 368-381 - Ping Lu, Ting Deng, Haoyuan Zhang, Yufeng Jin, Feiyi Liu, Tiancheng Mao, Lexiao Liu:
Ontology-Mediated Query Answering Using Graph Patterns with Conditions. 382-395 - Tao Qiu, Shenwang Jiang, Xiaochun Yang, Bin Wang, Chuanyu Zong, Rui Zhu:
An Efficient Algorithm for Continuous Complex Event Matching Using Bit-Parallelism. 396-408 - Zulun Zhu, Siqiang Luo, Wenqing Lin, Sibo Wang, Dingheng Mo, Chunbo Li:
Personalized PageRanks over Dynamic Graphs - The Case for Optimizing Quality of Service. 409-422 - Hesam Shahrokhi, Amirali Kaboli, Mahdi Ghorbani, Amir Shaikhha:
PyTond: Efficient Python Data Science on the Shoulders of Databases. 423-435 - Ziheng Wang, Alex Aiken:
Efficient Fault Tolerance for Pipelined Query Engines via Write-ahead Lineage. 436-448 - Daichi Amagata:
Independent Range Sampling on Interval Data. 449-461 - Benjamin Wagner, André Kohn, Peter A. Boncz, Viktor Leis:
Incremental Fusion: Unifying Compiled and Vectorized Query Execution. 462-474 - Ashwin Lall:
The Indistinguishability Query. 475-487 - Xiaoliang Wang, Peiquan Jin, Yongping Luo, Zhaole Chu:
Range Cache: An Efficient Cache Component for Accelerating Range Queries on LSM - Based Key-Value Stores. 488-500 - Viktor Sanca, Manos Chatzakis, Anastasia Ailamaki:
Optimizing Context-Enhanced Relational Joins. 501-515 - Chen Zhong, Qingqing Zhou, Yuxing Chen, Xingsheng Zhao, Kuang He, Anqun Pan, Song Jiang:
IndeXY: A Framework for Constructing Indexes Larger than Memory. 516-529 - Lingzi Zhang, Xin Zhou, Zhiwei Zeng, Zhiqi Shen:
Are ID Embeddings Necessary? Whitening Pre-trained Text Embeddings for Effective Sequential Recommendation. 530-543 - Anchen Li, Bo Yang, Huan Huo, Farookh Khadeer Hussain, Guandong Xu:
Structure- and Logic-Aware Heterogeneous Graph Learning for Recommendation. 544-556 - Qianru Zhang, Lianghao Xia, Xuheng Cai, Siu-Ming Yiu, Chao Huang, Christian S. Jensen:
Graph Augmentation for Recommendation. 557-569 - Xinli Hao, Yile Chen, Chen Yang, Zhihui Du, Chaohong Ma, Chao Wu, Xiaofeng Meng:
From Chaos to Clarity: Time Series Anomaly Detection in Astronomical Observations. 570-583 - Xin Gao, Yang Lin, Ruiqing Li, Yasha Wang, Xu Chu, Xinyu Ma, Hailong Yu:
Enhancing Topic Interpretability for Neural Topic Modeling Through Topic-Wise Contrastive Learning. 584-597 - Meng Ai, Zhuo Chen, Jibin Wang, Jing Shang, Tao Tao, Zhen Li:
Improve ROI with Causal Learning and Conformal Prediction. 598-610 - Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin:
Hide Your Model: A Parameter Transmission-free Federated Recommender System. 611-624 - Ching Chang, Chiao-Tung Chan, Wei-Yao Wang, Wen-Chih Peng, Tien-Fu Chen:
TimeDRL: Disentangled Representation Learning for Multivariate Time-Series. 625-638 - Xi Wang, Ruochun Jin, Wanrong Huang, Yuhua Tang:
Boosting Meaningful Dependency Mining with Clustering and Covariance Analysis. 639-652 - Honglei Zhang, Shuyi Wang, Haoxuan Li, Chunyuan Zheng, Xu Chen, Li Liu, Shanshan Luo, Peng Wu:
Uncovering the Propensity Identification Problem in Debiased Recommendations. 653-666 - Rui Zha, Le Zhang, Shuangli Li, Jingbo Zhou, Tong Xu, Hui Xiong, Enhong Chen:
Scaling Up Multivariate Time Series Pre-Training with Decoupled Spatial-Temporal Representations. 667-678 - Yongjing Hao, Pengpeng Zhao, Jianfeng Qu, Lei Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou:
Meta-optimized Structural and Semantic Contrastive Learning for Graph Collaborative Filtering. 679-691 - Yihan Li, Ruifeng Li, Zijing Tan, Weidong Yang, Shuai Ma:
Efficient Set-Based Order Dependency Discovery with a Level-Wise Hybrid Strategy. 692-704 - Yongjing Hao, Pengpeng Zhao, Junhua Fang, Jianfeng Qu, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou:
Meta-Optimized Joint Generative and Contrastive Learning for Sequential Recommendation. 705-718 - Yuyang Wei, Wei Chen, Xiaofang Zhang, Pengpeng Zhao, Jianfeng Qu, Lei Zhao:
Multi-Modal Siamese Network for Few-Shot Knowledge Graph Completion. 719-732 - Wei Chen, Huaiyu Wan, Yuting Wu, Shuyuan Zhao, Jiayaqi Cheng, Yuxin Li, Youfang Lin:
Local-Global History-Aware Contrastive Learning for Temporal Knowledge Graph Reasoning. 733-746 - Feiyi Chen, Yingying Zhang, Zhen Qin, Lunting Fan, Renhe Jiang, Yuxuan Liang, Qingsong Wen, Shuiguang Deng:
Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection. 747-760 - Sunhao Dai, Ninglu Shao, Jieming Zhu, Xiao Zhang, Zhenhua Dong, Jun Xu, Quanyu Dai, Ji-Rong Wen:
Modeling User Attention in Music Recommendation. 761-774 - Guanyu Lu, Fang Zhou, Martin Pavlovski, Chenyi Zhou, Cheqing Jin:
A Robust Prioritized Anomaly Detection when Not All Anomalies are of Primary Interest. 775-788 - Yuncheng Huang, Qianyu He, Jiaqing Liang, Sihang Jiang, Yanghua Xiao, Yunwen Chen:
Enhancing Quantitative Reasoning Skills of Large Language Models through Dimension Perception. 789-802 - Chi Zhang, Qilong Han, Rui Chen, Xiangyu Zhao, Peng Tang, Hongtao Song:
SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation. 803-815 - Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Jizhi Zhang, Xiang Wang:
BSL: Understanding and Improving Softmax Loss for Recommendation. 816-830 - Yuhan Wu, Aomufei Yuan, Zhouran Shi, Yuanpeng Li, Yikai Zhao, Peiqing Chen, Tong Yang, Bin Cui:
Online Detection of Outstanding Quantiles with QuantileFilter. 831-844 - Binquan Wu, Yu Cheng, Haitao Yuan, Qianli Ma:
When Multi-Behavior Meets Multi-Interest: Multi-Behavior Sequential Recommendation with Multi-Interest Self-Supervised Learning. 845-858 - Haoyang Li, Shimin Di, Lei Chen, Xiaofang Zhou:
E2GCL: Efficient and Expressive Contrastive Learning on Graph Neural Networks. 859-873 - Wei Shen, Haixu Went:
Ambiguous Entity Oriented Targeted Document Detection. 874-886 - Xiangkai Ma, Xiaobin Hong, Sanglu Lu, Wenzhong Li:
TS3Net: Triple Decomposition with Spectrum Gradient for Long-Term Time Series Analysis. 887-900 - Jiang Xie, Minggao Dai, Shuyin Xia, Jinajinz Zhang, Guoyin Wang, Xinbo Gao:
An Efficient Fuzzy Stream Clustering Method Based on Granular-Ball Structure. 901-913 - Jiang Xie, Chunfeng Hua, Shuyin Xia, Yuxin Cheng, Guoyin Wang, Xinbo Gao:
W-GBC: An Adaptive Weighted Clustering Method Based on Granular-Ball Structure. 914-925 - Ting Zhou, Ning Liu, Bo Song, Hongtao Lv, Deke Guo, Lei Liu:
RobFL: Robust Federated Learning via Feature Center Separation and Malicious Center Detection. 926-938 - Heyan Chai, Zeyu Liu, Yongxin Tong, Ziyi Yao, Binxing Fang, Qing Liao:
Towards Task-Conflicts Momentum-Calibrated Approach for Multi-task Learning. 939-952 - Guangyao Ding, Chen Xu, Weining Qian:
Hybrid Evaluation for Occlusion-based Explanations on CNN Inference Queries. 953-966 - Yile Chen, Zeyi Wen, Jian Chen, Jin Huang:
Enhancing the Performance of Bandit-based Hyperparameter Optimization. 967-980 - Yuting Sun, Guansong Pang, Guanhua Ye, Tong Chen, Xia Hu, Hongzhi Yin:
Unraveling the 'Anomaly' in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution. 981-994 - Yudian Ouyang, Kun Xie, Jigang Wen, Gaogang Xie, Kenli Li:
A Robust Low-Rank Tensor Decomposition and Quantization based Compression Method. 995-1008 - Mingchen Zhang, Jiaan Wang, Jianfeng Qu, Zhixu Li, An Liu, Lei Zhao, Zhigang Chen, Xiaofang Zhou:
A Coarse-to-Fine Framework for Entity-Relation Joint Extraction. 1009-1022 - Yubo Wang, Hao Xin, Lei Chen:
KGLink: A Column Type Annotation Method that Combines Knowledge Graph and Pre-Trained Language Model. 1023-1035 - Yuli Liu, Christian Walder, Lexing Xie:
Learning k-Determinantal Point Processes for Personalized Ranking. 1036-1049 - Hao Miao, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Feiteng Huang, Jiandong Xie, Christian S. Jensen:
A Unified Replay-Based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data. 1050-1062 - Tao Duan, Junzhou Zhao, Shuo Zhang, Jing Tao, Pinghui Wang:
Representation Learning of Tangled Key-Value Sequence Data for Early Classification. 1063-1075 - Jianwei Cui, Wenhang Shi, Honglin Tao, Wei Lu, Xiaoyong Du:
A Two-Phase Recall-and-Select Framework for Fast Model Selection. 1076-1089 - Chaeeun Kim, Changhun Han, Ha-Myung Park:
BTS: Load-Balanced Distributed Union-Find for Finding Connected Components with Balanced Tree Structures. 1090-1102 - Jiajun Cui, Minghe Yu, Bo Jiang, Aimin Zhou, Jianyong Wang, Wei Zhang:
Interpretable Knowledge Tracing via Response Influence-based Counterfactual Reasoning. 1103-1116 - Yuling Zhang, Anpeng Wu, Kun Kuang, Liang Du, Zixun Sun, Zhi Wang:
Stable Heterogeneous Treatment Effect Estimation across Out-of-Distribution Populations. 1117-1130 - Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Haoyan Chua, Edward Kien Yee Yapp:
Towards Cross-Domain Continual Learning. 1131-1142 - Anna Beer, Olivér Palotás, Andrea Maldonado, Andrew Draganov, Ira Assent:
DROPP: Structure-Aware PCA for Ordered Data: A General Method and its Applications in Climate Research and Molecular Dynamics. 1143-1156 - Yuhan Wu, Hanbo Wu, Chengjun Jia, Bo Peng, Ziyun Zhang, Tong Yang, Peiqing Chen, Kaicheng Yang, Bin Cui:
Scalable Overspeed Item Detection in Streams. 1157-1170 - Yang Guo, Zhiqi Wang, Jin Xue, Zili Shao:
A Spatio-Temporal Series Data Model with Efficient Indexing and Layout for Cloud-Based Trajectory Data Management. 1171-1184 - Ran Li, Shimin Di, Lei Chen, Xiaofang Zhou:
GradGCL: Gradient Graph Contrastive Learning. 1171-1184 - Shuhao Li, Yue Cui, Libin Li, Weidong Yang, Fan Zhang, Xiaofang Zhou:
ST-ABC: Spatio-Temporal Attention-Based Convolutional Network for Multi-Scale Lane-Level Traffic Prediction. 1185-1198 - Yuanchen Bei, Hao Xu, Sheng Zhou, Huixuan Chi, Haishuai Wang, Mengdi Zhang, Zhao Li, Jiajun Bu:
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks. 1199-1212 - Xing Ai, Jialong Zhou, Yulin Zhu, Gaolei Li, Tomasz P. Michalak, Xiapu Luo, Kai Zhou:
Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach. 1213-1227 - Yuchen Fang, Jiandong Xie, Yan Zhao, Lu Chen, Yunjun Gao, Kai Zheng:
Temporal-Frequency Masked Autoencoders for Time Series Anomaly Detection. 1228-1241 - Jinzhao Xiao, Wendi He, Shaoxu Song, Xiangdong Huang, Chen Wang, Jianmin Wang:
REGER: Reordering Time Series Data for Regression Encoding. 1242-1254 - Yue Jiang, Xiucheng Li, Yile Chen, Shuai Liu, Weilong Kong, Antonis F. Lentzakis, Gao Cong:
SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting. 1255-1268 - Guangyi Liu, Quanming Yao, Yongqi Zhang, Lei Chen:
Knowledge-Enhanced Recommendation with User-Centric Subgraph Network. 1269-1281 - Jianyang Qin, Yan Jia, Yongxin Tong, Heyan Chai, Ye Ding, Xuan Wang, Binxing Fang, Qing Liao:
MUSE-Net: Disentangling Multi-Periodicity for Traffic Flow Forecasting. 1282-1295 - Ziyu Li, Hilco van der Wilk, Danning Zhan, Megha Khosla, Alessandro Bozzon, Rihan Hai:
Model Selection with Model Zoo via Graph Learning. 1296-1309 - Yanchao Tan, Hang Lv, Zihao Zhou, Wenzhong Guo, Bo Xiong, Weiming Liu, Chaochao Chen, Shiping Wang, Carl Yang:
Logical Relation Modeling and Mining in Hyperbolic Space for Recommendation. 1310-1323 - Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin:
HeteFedRec: Federated Recommender Systems with Model Heterogeneity. 1324-1337 - Peng Jia, Pinghui Wang, Rundong Li, Junzhou Zhao, Junlan Feng, Xidian Wang, Xiaohong Guan:
A Compact and Accurate Sketch for Estimating a Large Range of Set Difference Cardinalities. 1338-1351 - Liyue Chen, Jiangyi Fang, Tengfei Liu, Shaosheng Cao, Leye Wang:
A Unified Model for Spatio-Temporal Prediction Queries with Arbitrary Modifiable Areal Units. 1352-1365 - Zhenyu Wen, Jiaxu Qian, Bin Qian, Qin Yuan, Jianbin Qin, Qi Xuan, Ye Yuan:
Across Images and Graphs for Question Answering. 1366-1379 - Haoyu Wang, Ruirui Li, Zhengyang Wang, Xianfeng Tang, Danqing Zhang, Monica Xiao Cheng, Bing Yin, Jasha Droppo, Suhang Wang, Jing Gao:
LightLT: A Lightweight Representation Quantization Framework for Long-Tail Data. 1380-1393 - Yuanyuan Yao, Hailiang Jie, Lu Chen, Tianyi Li, Yunjun Gao, Shiting Wen:
TSec: An Efficient and Effective Framework for Time Series Classification. 1394-1406 - Braulio Valentin Sanchez Vinces, Robson L. F. Cordeiro, Christos Faloutsos:
Mccatch: Scalable Microcluster Detection in Dimensional and Nondimensional Datasets. 1407-1420 - Vinay M. S., Shuhan Yuan, Xintao Wu:
Contrastive Learning for Fraud Detection from Noisy Labels. 1421-1434 - Bowen Zheng, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ming Chen, Ji-Rong Wen:
Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation. 1435-1448 - Hanmo Liu, Shimin Di, Haoyang Li, Shuangyin Li, Lei Chen, Xiaofang Zhou:
Effective Data Selection and Replay for Unsupervised Continual Learning. 1449-1463 - Tianlang He, Zhiqiu Xia, Jierun Chen, Haoliang Li, S.-H. Gary Chan:
Target-agnostic Source-free Domain Adaptation for Regression Tasks. 1464-1477 - Jianjun Zhao, Haikun Liu, Shuhao Zhang, Zhuohui Duan, Xiaofei Liao, Hai Jin, Yu Zhang:
Fast Parallel Recovery for Transactional Stream Processing on Multicores. 1478-1491 - Qingxiu Liu, Qun Huang, Xiang Chen, Sa Wang, Wenhao Wang, Shujie Han, Patrick P. C. Lee:
PP-Stream: Toward High-Performance Privacy-Preserving Neural Network Inference via Distributed Stream Processing. 1492-1505 - Chunwei Liu, John Paparrizos, Aaron J. Elmore:
AdaEdge: A Dynamic Compression Selection Framework for Resource Constrained Devices. 1506-1519 - Hasan Geren, Nasrin Sohrabi, Zahir Tari, Nour Moustafa:
A Predictive Profiling and Performance Modeling Approach for Distributed Stream Processing in Edge. 1520-1532 - Yin Xu, Xichong Zhang, Mingjun Xiao, Jie Wu, An Liu, Sheng Zhang:
Joint Mobile Edge Caching and Pricing: A Mean-Field Game Approach. 1533-1546 - Guopeng Li, Haisheng Tan, Xuan Zhang, Chi Zhang, Ruiting Zhou, Zhenhua Han, Guoliang Chen:
Online Container Caching with Late-Warm for IoT Data Processing. 1547-1560 - Hao Bao, Zhi Zhou, Fei Xu, Xu Chen:
COUPLE: Orchestrating Video Analytics on Heterogeneous Mobile Processors. 1561-1574 - Rui Zhu, Yujin Jia, Xiaochun Yang, Baihua Zheng, Bin Wang, Chuanyu Zong:
Multiple Continuous Top-K Queries Over Data Stream. 1575-1588 - Qizhi Chen, Yisen Hong, Yuhan Wu, Tong Yang, Bin Cui:
CodingSketch: A Hierarchical Sketch with Efficient Encoding and Recursive Decoding. 1592-1605 - Timo Räth, Marius Schlegel, Kai-Uwe Sattler:
Everything Everyway All at Once - Time Traveling Debugging for Stream Processing Applications. 1606-1618 - Xinyue Sun, Qingqing Ye, Haibo Hu, Jiawei Duan, Tianyu Wo, Jie Xu, Renyu Yang:
LDPRecover: Recovering Frequencies from Poisoning Attacks Against Local Differential Privacy. 1619-1631 - Xun Ran, Qingqing Ye, Haibo Hu, Xin Huang, Jianliang Xu, Jie Fu:
Differentially Private Graph Neural Networks for Link Prediction. 1632-1644 - Xinle Cao, Yuhan Li, Dmytro Bogatov, Jian Liu, Kui Ren:
Secure and Practical Functional Dependency Discovery in Outsourced Databases. 1645-1658 - Zhao Bai, Mingyue Wang, Fangda Guo, Yu Guo, Chengjun Cai, Rongfang Bie, Xiaohua Jia:
SecMdp: Towards Privacy-Preserving Multimodal Deep Learning in End-Edge-Cloud. 1659-1670 - Shang Liu, Yang Cao, Takao Murakami, Jinfei Liu, Masatoshi Yoshikawa:
CARGO: Crypto-Assisted Differentially Private Triangle Counting Without Trusted Servers. 1671-1684 - Yujia Hu, Yuntao Du, Zhikun Zhang, Ziquan Fang, Lu Chen, Kai Zheng, Yunjun Gao:
Real-Time Trajectory Synthesis with Local Differential Privacy. 1685-1698 - Xiaoting Zhu, Libin Zheng, Chen Jason Zhang, Peng Cheng, Rui Meng, Lei Chen, Xuemin Lin, Jian Yin:
Privacy-Preserving Traffic Flow Release with Consistency Constraints. 1699-1711 - He Zhang, Xingliang Yuan, Shirui Pan:
Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks. 1712-1725 - Meifan Zhang, Xin Liu, Lihua Yin:
Sketches-Based Join Size Estimation Under Local Differential Privacy. 1726-1738 - Yulian Mao, Qingqing Ye, Haibo Hu, Qi Wang, Kai Huang:
PrivShape: Extracting Shapes in Time Series Under User-Level Local Differential Privacy. 1739-1751 - Minjun Zhao, Yichen Yin, Yuren Mao, Qing Liu, Lu Chen, Yunjun Gao:
SparDL: Distributed Deep Learning Training with Efficient Sparse Communication. 1752-1764 - Yuankai Fan, Zhenying He, Tonghui Ren, Can Huang, Yinan Jing, Kai Zhang, X. Sean Wang:
Metasql: A Generate-Then-Rank Framework for Natural Language to SQL Translation. 1765-1778 - Pengpeng Qiao, Kangfei Zhao, Bei Bi, Zhiwei Zhang, Ye Yuan, Guoren Wang:
Feed: Towards Personalization-Effective Federated Learning. 1779-1791 - Meghana Madhyastha, Tamas Budavari, Vladimir Braverman, Joshua T. Vogelstein, Randal C. Burns:
T-Rex (Tree-Rectangles): Reformulating Decision Tree Traversal as Hyperrectangle Enclosure. 1792-1804 - Danrui Qi, Weiling Zheng, Jiannan Wang:
FeatAug: Automatic Feature Augmentation From One-to-Many Relationship Tables. 1805-1818 - Chunnan Wang, Hongzhi Wang, Xiangyu Shi:
AutoMC: Automated Model Compression Based on Domain Knowledge and Progressive Search. 1819-1832 - Hussein Abdallah, Waleed Afandi, Panos Kalnis, Essam Mansour:
Task-Oriented GNNs Training on Large Knowledge Graphs for Accurate and Efficient Modeling. 1833-1846 - Zhida Jiang, Yang Xu, Hongli Xu, Zhiyuan Wang, Chunming Qiao:
Clients Help Clients: Alternating Collaboration for Semi-Supervised Federated Learning. 1847-1860 - Andra Ionescu, Kiril Vasilev, Florena Buse, Rihan Hai, Asterios Katsifodimos:
AutoFeat: Transitive Feature Discovery over Join Paths. 1861-1873 - Xinyi Zhu, Yongqi Zhang, Lei Chen, Kai Chen:
Triple-D: Denoising Distant Supervision for High-Quality Data Creation. 1874-1887 - Shuai Zhao, Zhiwei Zhang, Junkai Wang, Ye Yuan, Meihui Zhang, Guoren Wang, Jiang Xiao:
Efficient Partial Order Based Transaction Processing for Permissioned Blockchains. 1888-1901 - Xing Tong, Zheming Ye, Zhao Zhang, Cheqing Jin, Aoying Zhou:
TELL: Efficient Transaction Execution Protocol Towards Leaderless Consensus. 1902-1915 - Dakai Kang, Sajjad Rahnama, Jelle Hellings, Mohammad Sadoghi:
SpotLess: Concurrent Rotational Consensus Made Practical Through Rapid View Synchronization. 1916-1929 - Gengrui Zhang, Fei Pan, Sofia Tijanic, Hans-Arno Jacobsen:
PrestigeBFT: Revolutionizing View Changes in BFT Consensus Algorithms with Reputation Mechanisms. 1930-1943 - Wuhui Chen, Ding Xia, Zhongteng Cai, Hong-Ning Dai, Jianting Zhang, Zicong Hong, Junyuan Liang, Zibin Zheng:
Porygon: Scaling Blockchain via 3D Parallelism. 1944-1957 - Siyu Li, Zhiwei Zhang, Jiang Xiao, Meihui Zhang, Ye Yuan, Guoren Wang:
Authenticated Keyword Search on Large-Scale Graphs in Hybrid-Storage Blockchains. 1958-1971 - Peng Qian, Hanjie Wu, Zeren Du, Turan Vural, Dazhong Rong, Zheng Cao, Lun Zhang, Yanbin Wang, Jianhai Chen, Qinming He:
MuFuzz: Sequence-Aware Mutation and Seed Mask Guidance for Blockchain Smart Contract Fuzzing. 1972-1985 - Siyu Li, Zhiwei Zhang, Meihui Zhang, Ye Yuan, Guoren Wang:
Authenticated Subgraph Matching in Hybrid-Storage Blockchains. 1986-1998 - Haixin Wang, Cheng Xu, Xiaojie Chen, Ce Zhang, Haibo Hu, Shikun Tian, Ying Yan, Jianliang Xu:
V2FS : A Verifiable Virtual Filesystem for Multi-Chain Query Authentication. 1999-2011 - Qiushi Zheng, Zhanhao Zhao, Wei Lu, Chang Yao, Yuxing Chen, Anqun Pan, Xiaoyong Du:
Lion: Minimizing Distributed Transactions Through Adaptive Replica Provision. 2012-2025 - Hexiang Pan, Quang-Trung Ta, Meihui Zhang, Zhanhao Zhao, Yeow Meng Chee, Gang Chen, Beng Chin Ooi:
FC: Adaptive Atomic Commit via Failure Detection. 2026-2039 - Pratyush Agnihotri, Boris Koldehofe, Paul Stiegele, Roman Heinrich, Carsten Binnig, Manisha Luthra:
ZERoTuNE: Learned Zero-Shot Cost Models for Parallelism Tuning in Stream Processing. 2040-2053 - Yunming Liao, Yang Xu, Hongli Xu, Lun Wang, Zhiwei Yao, Chunming Qiao:
MergeSFL: Split Federated Learning with Feature Merging and Batch Size Regulation. 2054-2067 - Feng Cheng, Jiang Xiao, Cunyang Liu, Shijie Zhang, Yifan Zhou, Bo Li, Baochun Li, Hai Jin:
SharDAG: Scaling DAG-Based Blockchains Via Adaptive Sharding. 2068-2081 - Yi Wang, Jiajian He, Kaoyi Sun, Yunhao Dong, Jiaxian Chen, Chenlin Ma, Amelie Chi Zhou, Rui Mao:
Boosting Write Performance of KV Stores: An NVM - Enabled Storage Collaboration Approach. 2082-2095 - Jun-Peng Zhu, Zhiwei Ye, Peng Cai, Donghui Wang, Fengyan Zhang, Dunbo Cai, Ling Qian:
Log Replaying for Real-Time HTAP: An Adaptive Epoch-Based Two-Stage Framework. 2096-2108 - Joe Oakley, Hakan Ferhatosmanoglu:
FSD-Inference: Fully Serverless Distributed Inference with Scalable Cloud Communication. 2109-2122 - Ruiqi Xu, Yue Wang, Xiaokui Xiao:
Graph Computation with Adaptive Granularity. 2123-2136 - Ming Hu, Peiheng Zhou, Zhihao Yue, Zhiwei Ling, Yihao Huang, Anran Li, Yang Liu, Xiang Lian, Mingsong Chen:
FedCross: Towards Accurate Federated Learning via Multi-Model Cross-Aggregation. 2137-2150 - Yin Lin, Samika Gupta, H. V. Jagadish:
Mitigating Subgroup Unfairness in Machine Learning Classifiers: A Data-Driven Approach. 2151-2163 - Ke Yang, Alexandra Meliou:
Non-Invasive Fairness in Learning Through the Lens of Data Drift. 2164-2178 - Jun Zhang, Huan Li, Dazhong Rong, Yan Zhao, Ke Chen, Lidan Shou:
Preventing the Popular Item Embedding Based Attack in Federated Recommendations. 2179-2191 - Abraham Gale, Amélie Marian:
Explainable Disparity Compensation for Efficient Fair Ranking. 2192-2204 - Xiaobin Tian, Zequn Sun, Wei Hu:
Generating Explanations to Understand and Repair Embedding-Based Entity Alignment. 2205-2217 - Wei Liu, Haozhao Wang, Jun Wang, Zhiying Deng, Yuankai Zhang, Cheng Wang, Ruixuan Li:
Enhancing the Rationale-Input Alignment for Self-explaining Rationalization. 2218-2230 - Qian Chen, Yiqiang Chen, Bingjie Yan, Xinlong Jiang, Xiaojin Zhang, Yan Kang, Teng Zhang, Wuliang Huang, Chenlong Gao, Lixin Fan, Qiang Yang:
Model Trip: Enhancing Privacy and Fairness in Model Fusion Across Multi-Federations for Trustworthy Global Healthcare. 2231-2244 - Hervé-Madelein Attolou, Katerina Tzompanaki, Kostas Stefanidis, Dimitris Kotzinos:
Why-Not Explainable Graph Recommender. 2245-2257 - Mohd Saqib, Benjamin C. M. Fung, Philippe Charland, Andrew Walenstein:
GAGE: Genetic Algorithm-Based Graph Explainer for Malware Analysis. 2258-2270 - Ruitao Xie, Jingbang Chen, Limai Jiang, Rui Xiao, Yi Pan, Yunpeng Cai:
Accurate Explanation Model for Image Classifiers using Class Association Embedding. 2271-2284 - Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He:
Fairgen: Towards Fair Graph Generation. 2285-2297 - Yong Wang, Kaiyu Li, Yuyu Luo, Guoliang Li, Yunyan Guo, Zhuo Wang:
Fast, Robust and Interpretable Participant Contribution Estimation for Federated Learning. 2298-2311 - Chuanyu Zong, Zefang Dong, Xiaochun Yang, Bin Wang, Huaijie Zhu, Tao Qiu, Rui Zhu:
Exploring Optimal Parameters for Expected Results on Radius-Bounded k-Core Queries. 2312-2324 - Riccardo Benassi, Francesco Guerra, Matteo Paganelli, Donato Tiano:
Explaining Entity Matching with Clusters of Words. 2325-2337 - Hao Liu, Raymond Chi-Wing Wong, Zheng Zhang, Min Xie, Bo Tang:
Fair Top-k Query on Alpha-Fairness. 2338-2350 - Yizhang He, Kai Wang, Wenjie Zhang, Xuemin Lin, Wei Ni, Ying Zhang:
Butterfly Counting over Bipartite Graphs with Local Differential Privacy. 2351-2364 - Shuwen Zheng, Chaokun Wang, Cheng Wu, Yunkai Lou, Hao Feng, Xuran Yang:
Temporal Graph Generation Featuring Time-Bound Communities. 2365-2378 - Henan Sun, Xunkai Li, Zhengyu Wu, Daohan Su, Rong-Hua Li, Guoren Wang:
Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification. 2379-2392 - Yucan Guo, Chenhao Ma, Yixiang Fang:
Efficient Core Decomposition Over Large Heterogeneous Information Networks. 2393-2406 - YuAng Chen, Jeffrey Xu Yu:
Accelerating SpMV for Scale-Free Graphs with Optimized Bins. 2407-2420 - Xing Huang, Dandan Lin, Weiyi Huang, Shijie Sun, Jie Wen, Chuan Chen:
PlatoD2GL: An Efficient Dynamic Deep Graph Learning System for Graph Neural Network Training on Billion-Scale Graphs. 2421-2434 - Xiaofan Li, Gao Cong, Rui Zhou:
Quantum Algorithms for the Maximum K-Plex Problem. 2435-2448 - Yijie Zhou, Shufeng Gong, Feng Yao, Hanzhang Chen, Song Yu, Pengxi Liu, Yanfeng Zhang, Ge Yu, Jeffrey Xu Yu:
Fast Iterative Graph Computing with Updated Neighbor States. 2449-2462 - Mingyu Yang, Wentao Li, Wei Wang, Dong Wen, Lu Qin:
Querying Numeric-Constrained Shortest Distances on Road Networks. 2463-2475 - Yue Zeng, Hongchao Qin, Rong-Hua Li, Kai Wang, Guoren Wang, Xuemin Lin:
Mining Quasi-Periodic Communities in Temporal Network. 2476-2488 - Tianhao Peng, Wenjun Wu, Haitao Yuan, Zhifeng Bao, Zhao Pengrui, Xin Yu, Xuetao Lin, Yu Liang, Yanjun Pu:
GraphRARE: Reinforcement Learning Enhanced Graph Neural Network with Relative Entropy. 2489-2502 - Shunyang Li, Kai Wang, Xuemin Lin, Wenjie Zhang, Yizhang He, Long Yuan:
Querying Historical Cohesive Subgraphs Over Temporal Bipartite Graphs. 2503-2516 - Xunkai Li, Zhengyu Wu, Wentao Zhang, Henan Sun, Rong-Hua Li, Guoren Wang:
AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity. 2517-2530 - Alexander Zhou, Yue Wang, Lei Chen, M. Tamer Özsu:
Positive Communities on Signed Graphs That Are Not Echo Chambers: A Clique-Based Approach. 2531-2543 - Jiujian Chen, Kai Wang, Ronghua Li, Hongchao Qin, Xuemin Lin, Guoren Wang:
Maximal Biclique Enumeration: A Prefix Tree Based Approach. 2544-2556 - Long Yuan, Kongzhang Hao, Xuemin Lin, Wenjie Zhang:
Batch Hop-Constrained s-t Simple Path Query Processing in Large Graphs. 2557-2569 - Shuohao Gao, Kaiqiang Yu, Shengxin Liu, Cheng Long, Zelong Qiu:
On Searching Maximum Directed (k, 𝓁)-Plex. 2570-2583 - Yanchen Luo, Sihang Li, Yongduo Sui, Junkang Wu, Jiancan Wu, Xiang Wang:
Masked Graph Modeling with Multi- View Contrast. 2584-2597 - Yuhao Tang, Junyu Luo, Ling Yang, Xiao Luo, Wentao Zhang, Bin Cui:
Multi- View Teacher with Curriculum Data Fusion for Robust Unsupervised Domain Adaptation. 2598-2611 - Chen Chen, Ye Yuan, Zhenyu Wen, Yu-Ping Wang, Guoren Wang:
GShop: Towards Flexible Pricing for Graph Statistics. 2612-2624 - Wenzhe Hou, Xiang Zhao, Bo Tang:
LearnSC: An Efficient and Unified Learning-Based Framework for Subgraph Counting Problem. 2625-2638 - Bing-Jyue Chen, Ho Chiok Yew, De-Nian Yang:
AFTER: Adaptive Friend Discovery for Temporal-Spatial and Social-Aware XR. 2639-2652 - Qu Liu, Adam King, Tingjian Ge:
Reducing Resource Usage for Continuous Model Updating and Predictive Query Answering in Graph Streams. 2653-2666 - Xujia Li, Lei Chen:
Graph Anomaly Detection with Domain-Agnostic Pre-Training and Few-Shot Adaptation. 2667-2680 - Wentao Zhang, Yexin Wang, Zhenbang You, Yang Li, Gang Cao, Zhi Yang, Bin Cui:
NC-ALG: Graph-Based Active Learning Under Noisy Crowd. 2681-2694 - Dandan Liu, Run-An Wang, Zhaonian Zou, Xin Huang:
Fast Multilayer Core Decomposition and Indexing. 2695-2708 - Pengfei Jiao, Yuanqi Liu, Yinghui Wang, Ge Zhang:
CINA: Curvature-Based Integrated Network Alignment with Hypergraph. 2709-2722 - Yanling Wang, Jing Zhang, Lingxi Zhang, Lixin Liu, Yuxiao Dong, Cuiping Li, Hong Chen, Hongzhi Yin:
Open-World Semi-Supervised Learning for Node Classification. 2723-2736 - Yuxiang Wang, Shuzhan Ye, Xiaoliang Xu, Yuxia Geng, Zhenghe Zhao, Xiangyu Ke, Tianxing Wu:
Scalable Community Search with Accuracy Guarantee on Attributed Graphs. 2737-2750 - Qihao Wang, Hongtai Cao, Xiaodong Li, Kevin Chen-Chuan Chang, Reynold Cheng:
From Motif to Path: Connectivity and Homophily. 2751-2764 - Yuan Li, Xiuxu Chen, Yuhai Zhao, Wen Shan, Zhengkui Wang, Guoli Yang, Guoren Wang:
Self-Training GNN-based Community Search in Large Attributed Heterogeneous Information Networks. 2765-2778 - Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Jiawei Jiang, Yunhai Tong, Bin Cui:
HGAMLP: Heterogeneous Graph Attention MLP with De-Redundancy Mechanism. 2779-2791 - Run-An Wang, Dandan Liu, Zhaonian Zou:
FocusCore Decomposition of Multilayer Graphs. 2792-2804 - Zhili Wang, Shimin Di, Lei Chen, Xiaofang Zhou:
Search to Fine-Tune Pre-Trained Graph Neural Networks for Graph-Level Tasks. 2805-2819 - Jie Liu, Mengting He, Xuequn Shang, Jieming Shi, Bin Cui, Hongzhi Yin:
BOURNE: Bootstrapped Self-Supervised Learning Framework for Unified Graph Anomaly Detection. 2820-2833 - Yudong Niu, Yuchen Li, Panagiotis Karras, Yanhao Wang, Zhao Li:
Discovering Personalized Characteristic Communities in Attributed Graphs. 2834-2847 - Jie Liu, Jiamou Liu, Kaiqi Zhao, Yanni Tang, Wu Chen:
TP-GNN: Continuous Dynamic Graph Neural Network for Graph Classification. 2848-2861 - Hao Feng, Chaokun Wang, Ziyang Liu, Yunkai Lou, Zhenyu Liu, Xiaokun Zhu, Yongjun Bao, Weipeng Yan:
GraphHI: Boosting Graph Neural Networks for Large-Scale Graphs. 2862-2875 - Jun Xia, Shaorong Chen, Yue Liu, Zhangyang Gao, Jiangbin Zheng, Xihong Yang, Stan Z. Li:
DiscoGNN: A Sample-Efficient Framework for Self-Supervised Graph Representation Learning. 2876-2888 - Ziyang Liu, Chaokun Wang, Liqun Yang, Yunkai Lou, Hao Feng, Cheng Wu, Kai Zheng, Yang Song:
Incorporating Dynamic Temperature Estimation into Contrastive Learning on Graphs. 2889-2903 - Qizhi Chen, Ke Wang, Aoran Li, Yuhan Wu, Tong Yang, Bin Cui:
Newton Sketches: Estimating Node Intimacy in Dynamic Graphs Using Newton's Law of Cooling. 2904-2916 - Serafeim Papadias, Zoi Kaoudi, Varun Pandey, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
Counting Butterflies in Fully Dynamic Bipartite Graph Streams. 2917-2930 - Wentao Zhang, Xinyi Gao, Ling Yang, Meng Cao, Ping Huang, Jiulong Shan, Hongzhi Yin, Bin Cui:
BIM: Improving Graph Neural Networks with Balanced Influence Maximization. 2931-2944 - Zhenhua Huang, Kunhao Li, Shaojie Wang, Zhaohong Jia, Wentao Zhu, Sharad Mehrotra:
SES: Bridging the Gap Between Explainability and Prediction of Graph Neural Networks. 2945-2958 - Longxu Sun, Xin Huang, Zheng Wu, Jianliang Xu:
Efficient Cross-layer Community Search in Large Multilayer Graphs. 2959-2971 - Hongtai Cao, Qihao Wang, Xiaodong Li, Matin Najafi, Kevin Chen-Chuan Chang, Reynold Cheng:
Large Subgraph Matching: A Comprehensive and Efficient Approach for Heterogeneous Graphs. 2972-2985 - Rongwei Xu, Guanfeng Liu, Yan Wang, Xuyun Zhang, Kai Zheng, Xiaofang Zhou:
Adaptive Hypergraph Network for Trust Prediction. 2986-2999 - Haoyu Liu, Yongcai Wang, Xiaojia Xu, Deying Li:
Bottom-up k-Vertex Connected Component Enumeration by Multiple Expansion. 3000-3012 - Guanxian Jiang, Yunjian Zhao, Yichao Li, Zhi Liu, Tatiana Jin, Wanying Zheng, Boyang Li, James Cheng:
Wings: Efficient Online Multiple Graph Pattern Matching. 3013-3027 - Jinhao Cui, Heyan Chai, Xu Yang, Ye Ding, Binxing Fang, Qing Liao:
SGCL: Semantic-aware Graph Contrastive Learning with Lipschitz Graph Augmentation. 3028-3041 - Xinyi Gao, Wentao Zhang, Junliang Yu, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin:
Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation. 3042-3055 - Xinyi Gao, Tong Chen, Yilong Zang, Wentao Zhang, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin:
Graph Condensation for Inductive Node Representation Learning. 3056-3069 - Glenn Galvizo, Michael J. Carey:
Graphix: "One User's JSON is Another User's Graph". 3070-3083 - Chuchu Gao, Youhuan Li, Zhibang Yang, Xu Zhou:
CSM-TopK: Continuous Subgraph Matching with TopK Density Constraints. 3084-3097 - Yanping Wu, Renjie Sun, Xiaoyang Wang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin:
Efficient Maximal Temporal Plex Enumeration. 3098-3110 - Yonghao Chen, Ruibing Chen, Qiaoyun Li, Xiaozhao Fang, Jiaxing Li, Wai Keung Wong:
Denoising High-Order Graph Clustering. 3111-3124 - Pinghui Wang, Yuanming Zhang, Kuankuan Cheng, Junzhou Zhao:
A Revisit to Graph Neighborhood Cardinality Estimation. 3125-3137 - Anbiao Wu, Ye Yuan, Changsheng Li, Yuliang Ma, Hao Zhang:
Attributed Network Embedding in Streaming Style. 3138-3150 - Lyuheng Yuan, Da Yan, Jiao Han, Akhlaque Ahmad, Yang Zhou, Zhe Jiang:
Faster Depth-First Subgraph Matching on GPUs. 3151-3163 - Lyuheng Yuan, Akhlaque Ahmad, Da Yan, Jiao Han, Saugat Adhikari, Xiaodong Yu, Yang Zhou:
G2-AIMD: A Memory-Efficient Subgraph-Centric Framework for Efficient Subgraph Finding on GPUs. 3164-3177 - Dong Chen, Xiang Zhao, Weidong Xiao:
Fine-Grained Anomaly Detection on Dynamic Graphs via Attention Alignment. 3178-3190 - Linshan Qiu, Zhonggen Li, Xiangyu Ke, Lu Chen, Yunjun Gao:
Accelerating Biclique Counting on GPU. 3191-3203 - Linshan Qiu, Lu Chen, Hailiang Jie, Xiangyu Ke, Yunjun Gao, Yang Liu, Zetao Zhang:
GPU-Accelerated Batch-Dynamic Subgraph Matching. 3204-3216 - Jiaqi Jiang, Qi Zhang, Rong-Hua Li, Qiangqiang Dai, Guoren Wang:
I/O Efficient Max-Truss Computation in Large Static and Dynamic Graphs. 3217-3229 - Ziyi Ma, Jianye Yang, Xu Zhou, Guoqing Xiao, Jianhua Wang, Liang Yang, Kenli Li, Xuemin Lin:
Efficient Multi-Query Oriented Continuous Subgraph Matching. 3230-3243 - Yishu Wang, Jinlong Chu, Ye Yuan, Yu Gu, Hangxu Ji, Hao Zhang:
Label Constrained Reachability Queries on Time Dependent Graphs. 3244-3256 - Seunghwan Min, Jihoon Jang, Kunsoo Park, Dora Giammarresi, Giuseppe F. Italiano, Wook-Shin Han:
Time-Constrained Continuous Subgraph Matching Using Temporal Information for Filtering and Backtracking. 3257-3269 - Zitan Sun, Xin Huang, Chengzhi Piao, Cheng Long, Jianliang Xu:
Adaptive Truss Maximization on Large Graphs: A Minimum Cut Approach. 3270-3282 - Yanghao Liu, Fangda Guo, Bingbing Xu, Peng Bao, Huawei Shen, Xueqi Cheng:
SACH: Significant-Attributed Community Search in Heterogeneous Information Networks. 3283-3296 - Yuanyuan Xu, Wenjie Zhang, Ying Zhang, Maria E. Orlowska, Xuemin Lin:
TimeSGN: Scalable and Effective Temporal Graph Neural Network. 3297-3310 - Mingdao Li, Peng Peng, Zheyuan Hu, Lei Zou, Zheng Qin:
Variable-Length Path Query Evaluation Based on Worst-Case Optimal Joins. 3311-3323 - Ziming Li, Youhuan Li, Xinhuan Chen, Lei Zou, Yang Li, Xiaofeng Yang, Hongbo Jiang:
NewSP: A New Search Process for Continuous Subgraph Matching over Dynamic Graphs. 3324-3337 - Chuhan Hu, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Ting Yu, Hongyang Chen, Mengchi Liu, Jeffrey Xu Yu:
Querying Cohesive Subgraph Regarding Span-Constrained Triangles on Temporal Graphs. 3338-3350 - Dazhuo Qiu, Mengying Wang, Arijit Khan, Yinghui Wu:
Generating Robust Counterfactual Witnesses for Graph Neural Networks. 3351-3363 - Yuxiang Wang, Xiao Yan, Chuang Hu, Quanqing Xu, Chuanhui Yang, Fangcheng Fu, Wentao Zhang, Hao Wang, Bo Du, Jiawei Jiang:
Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning. 3364-3378 - Yihang Cheng, Lan Zhang, Junyang Wang, Xiaokai Chu, Dongbo Huang, Lan Xu:
FedMix: Boosting with Data Mixture for Vertical Federated Learning. 3379-3392 - Jiyun Shi, Yuqiao Wang, Chi Zhang, Zhaojing Luo, Chengliang Chai, Meihui Zhang:
DMRNet: Effective Network for Accurate Discharge Medication Recommendation. 3393-3406 - Jianbin Qin, Sifan Huang, Yaoshu Wang, Jing Zhu, Yifan Zhang, Yukai Miao, Rui Mao, Makoto Onizuka, Chuan Xiao:
BClean: A Bayesian Data Cleaning System. 3407-3420 - Xiaocan Zeng, Pengfei Wang, Yuren Mao, Lu Chen, Xiaoze Liu, Yunjun Gao:
MultiEM: Efficient and Effective Unsupervised Multi-Table Entity Matching. 3421-3434 - George Papadakis, Nishadi Kirielle, Peter Christen, Themis Palpanas:
A Critical Re-evaluation of Record Linkage Benchmarks for Learning-Based Matching Algorithms. 3435-3448 - Yicheng Fu, Xiaoye Miao, Huanhuan Peng, Chongning Na, Shuiguang Deng, Jianwei Yin:
Online Query-Based Data Pricing with Time-Discounting Valuations. 3449-3461 - Peng Huang, Meihui Zhang, Ziyue Zhong, Chengliang Chai, Ju Fan:
Representation Learning for Entity Alignment in Knowledge Graph: A Design Space Exploration. 3462-3475 - Nima Shahbazi, Jin Wang, Zhengjie Miao, Nikita Bhutani:
Fairness-Aware Data Preparation for Entity Matching. 3476-3489 - Md Ataur Rahman, Sergi Nadal, Oscar Romero, Dimitris Sacharidis:
Mitigating Data Sparsity in Integrated Data through Text Conceptualization. 3490-3504 - Marcel Parciak, Sebastiaan Weytjens, Niel Hens, Frank Neven, Liesbet M. Peeters, Stijn Vansummeren:
Measuring Approximate Functional Dependencies: A Comparative Study. 3505-3518 - Xiaoou Ding, Yida Liu, Hongzhi Wang, Chen Wang, Yichen Song, Donghua Yang, Jianmin Wang:
Efficient Relaxed Functional Dependency Discovery with Minimal Set Cover. 3519-3531 - Grace Fan, Roee Shraga, Renée J. Miller:
Gen-T: Table Reclamation in Data Lakes. 3532-3545 - Eduardo H. M. Pena, Fábio Porto, Felix Naumann:
Discovering Denial Constraints in Dynamic Datasets. 3546-3558 - Yuanyi Wang, Haifeng Sun, Jiabo Wang, Jingyu Wang, Wei Tang, Qi Qi, Shaoling Sun, Jianxin Liao:
Towards Semantic Consistency: Dirichlet Energy Driven Robust Multi-Modal Entity Alignment. 3559-3572 - Yuran Bi, Jinfei Liu, Chen Zhao, Junyi Zhao, Kui Ren, Li Xiong:
Share: Stackelberg-Nash based Data Markets. 3573-3586 - Yue Fu, Qingqing Ye, Rong Du, Haibo Hu:
Interactive Trimming Against Evasive Online Data Manipulation Attacks: A Game-Theoretic Approach. 3587-3599 - Haodi Wang, Tangyu Jiang, Yu Guo, Fangda Guo, Rongfang Bie, Xiaohua Jia:
Label Noise Correction for Federated Learning: A Secure, Efficient and Reliable Realization. 3600-3612 - Chengliang Chai, Kaisen Jin, Nan Tang, Ju Fan, Lianpeng Qiao, Yuping Wang, Yuyu Luo, Ye Yuan, Guoren Wang:
Mitigating Data Scarcity in Supervised Machine Learning Through Reinforcement Learning Guided Data Generation. 3613-3626 - Jiayang Li, Xuan Feng, Tianlong Gu, Liang Chang:
Dual-Teacher De-Biasing Distillation Framework for Multi-Domain Fake News Detection. 3627-3639 - Yunan Zhang, Shige Liu, Jianguo Wang:
Are There Fundamental Limitations in Supporting Vector Data Management in Relational Databases? A Case Study of PostgreSQL. 3640-3653 - Jinjin Zhao, Sanjay Krishnan:
Compression and In-Situ Query Processing for Fine-Grained Array Lineage. 3654-3667 - Xiaoou Ding, Yingze Li, Hongzhi Wang, Chen Wang, Yida Liu, Jianmin Wang:
TSDDISCOVER: Discovering Data Dependency for Time Series Data. 3668-3681 - Xiaoou Ding, Genglong Li, Hongzhi Wang, Chen Wang, Yichen Song:
Time Series Data Cleaning Under Expressive Constraints on Both Rows and Columns. 3682-3695 - Meihao Fan, Xiaoyue Han, Ju Fan, Chengliang Chai, Nan Tang, Guoliang Li, Xiaoyong Du:
Cost-Effective In-Context Learning for Entity Resolution: A Design Space Exploration. 3696-3709 - Xu Yang, Meihui Zhang, Ju Fan, Zeyu Luo, Yuxin Yang:
A Multi-Task Learning Framework for Reading Comprehension of Scientific Tabular Data. 3710-3724 - Xiaokun Fang, Feng Zhang, Junxiang Nong, Mingxing Zhang, Puyun Hu, Yunpeng Chai, Xiaoyong Du:
Enabling Efficient NVM-Based Text Analytics without Decompression. 3725-3738 - Yanliang Zhou, Feng Zhang, Tuo Lin, Yuanjie Huang, Saiqin Long, Jidong Zhai, Xiaoyong Du:
F-TADOC: FPGA-Based Text Analytics Directly on Compression with HLS. 3739-3752 - Laurens Kuiper, Peter A. Boncz, Hannes Mühleisen:
Robust External Hash Aggregation in the Solid State Age. 3753-3766 - Yuchen Huang, Xiaopeng Fan, Song Yan, Chuliang Weng:
Neos: A NVMe-GPUs Direct Vector Service Buffer in User Space. 3767-3781 - Xiaopeng Fan, Song Yan, Yuchen Huang, Chuliang Weng:
TEngine: A Native Distributed Table Storage Engine. 3782-3795 - Jie Zhang, Xuzheng Chen, Yin Zhang, Zeke Wang:
DmRPC: Disaggregated Memory-aware Datacenter RPC for Data-intensive Applications. 3796-3809 - Yiran Cheng, Xibo Sun, Qiong Luo:
RapidGKC: GPU-Accelerated K-Mer Counting. 3810-3822 - Meng Zhang, Qinghao Hu, Cheng Wan, Haozhao Wang, Peng Sun, Yonggang Wen, Tianwei Zhang:
Sylvie: 3D-Adaptive and Universal System for Large-Scale Graph Neural Network Training. 3823-3836 - Xin Li, Mengbai Xiao, Dongxiao Yu, Rubao Lee, Xiaodong Zhang:
UltraPrecise: A GPU-Based Framework for Arbitrary-Precision Arithmetic in Database Systems. 3837-3850 - Bowen Zhang, Shengan Zheng, Liangxu Nie, Zhenlin Qi, Linpeng Huang, Hong Mei:
Exploiting Persistent CPU Cache for Scalable Persistent Hash Index. 3851-3864 - Jianpeng Wei, Yu Gu, Tianyi Li, Jianzhong Qi, Chuanwen Li, Yanfeng Zhang, Christian S. Jensen, Ge Yu:
LTPG: Large-Batch Transaction Processing on GPUs with Deterministic Concurrency Control. 3865-3877 - Lam-Duy Nguyen, Viktor Leis:
Why Files If You Have a DBMS? 3878-3892 - Dongdong Tang, Weilan Wang, Yu Mao, Jinghuan Yu, Tei-Wei Kuo, Chun Jason Xue:
STEM: Streaming-Based FPGA Acceleration for Large-Scale Compactions in LSM KV. 3893-3905 - Wei Yan, Xingjun Zhang:
Improving the Relationship Between B+-Tree and Memory Allocator for Persistent Memory. 3906-3919 - Muhammad Attahir Jibril, Hani Al-Sayeh, Kai-Uwe Sattler:
Accelerating Aggregation Using a Real Processing-in-Memory System. 3920-3932 - Liang Zhang, Mohamed Y. Eltabakh, Elke A. Rundensteiner, Khalid Alnuaim:
CLIMBER: Pivot-Based Approximate Similarity Search Over Big Data Series. 3933-3946 - Yunfan Li, Huiqi Hu, Chaojing Lei, Xuan Zhou, Weining Qian:
Hill-Cache: Adaptive Integration of Recency and Frequency in Caching with Hill-Climbing. 3947-3960 - Xi Zhao, Zhonghan Chen, Kai Huang, Ruiyuan Zhang, Bolong Zheng, Xiaofang Zhou:
Efficient Approximate Maximum Inner Product Search Over Sparse Vectors. 3961-3974 - Rui Liu, Aaron J. Elmore, Michael J. Franklin, Sanjay Krishnan:
Riveter: Adaptive Query Suspension and Resumption Framework for Cloud Native Databases. 3975-3988 - Qingshuai Wang, Hao Li, Zirui Hu, Rong Zhang, Chengcheng Yang, Peng Cai, Xuan Zhou, Aoying Zhou:
Mirage: Generating Enormous Databases for Complex Workloads. 3989-4001 - Kecheng Huang, Xijun Li, Mingxuan Yuan, Ji Zhang, Zili Shao:
Joint Directory, File and IO Trace Feature Extraction and Feature-based Trace Regeneration for Enterprise Storage Systems. 4002-4015 - Haitian Hang, Xiu Tang, Jianling Sun, Lingfeng Bao, David Lo, Haoye Wang:
Robust Auto-Scaling with Probabilistic Workload Forecasting for Cloud Databases. 4016-4029 - George Siachamis, Kyriakos Psarakis, Marios Fragkoulis, Arie van Deursen, Paris Carbone, Asterios Katsifodimos:
CheckMate: Evaluating Checkpointing Protocols for Streaming Dataflows. 4030-4043 - Qiang Huang, Xin Wang, Susie Xi Rao, Zhichao Han, Zitao Zhang, Yongjun He, Quanqing Xu, Yang Zhao, Zhigao Zheng, Jiawei Jiang:
Benchtemp: A General Benchmark for Evaluating Temporal Graph Neural Networks. 4044-4057 - Zeyu Wang, Qihao Shi, Jiawei Chen, Can Wang, Mingli Song, Xinyu Wang:
Fast Query Answering by Labeling Index on Uncertain Graphs. 4058-4071 - Jianshun Zhang, Fang Wang, Sheng Qiu, Yi Wang, Jiaxin Ou, Junxun Huang, Baoquan Li, Peng Fang, Dan Feng:
Scavenger: Better Space-Time Trade-Offs for Key-Value Separated LSM-trees. 4072-4085 - Weicheng Wang, Raymond Chi-Wing Wong, H. V. Jagadish, Min Xie:
Reverse Regret Query. 4100-4112 - Zenan Lu, Xiaotian Zhou, Ahad N. Zehmakan, Zhongzhi Zhang:
Resistance Eccentricity in Graphs: Distribution, Computation and Optimization. 4113-4126 - Zhenghao Wang, Lidan Shou, Ke Chen, Xuan Zhou:
BushStore: Efficient B+Tree Group Indexing for LSM-Tree in Non-Volatile Memory. 4127-4139 - Yurong Cheng, Zhaohe Liao, Xiaosong Huang, Yi Yang, Xiangmin Zhou, Ye Yuan, Guoren Wang:
Cross Online Ride-Sharing for Multiple-Platform Cooperations in Spatial Crowdsourcing. 4140-4152 - Junhui Gao, Qianru Wang, Xin Zhang, Juan Shi, Xiang Zhao, Qingye Han, Yan Pan:
Cooperative Air-Ground Instant Delivery by UAVs and Crowdsourced Taxis. 4153-4166 - Shuliang Wang, Song Tang, Sijie Ruan, Cheng Long, Yuxuan Liang, Qi Li, Ziqiang Yuan, Jie Bao, Yu Zheng:
Urban Sensing for Multi-Destination Workers via Deep Reinforcement Learning. 4167-4179 - Xiangping Kang, Guoxian Yu, Qingzhong Li, Jun Wang, Hui Li, Carlotta Domeniconi:
Semi-Asynchronous Online Federated Crowdsourcing. 4180-4193 - Akil Sevim, Ahmed Eldawy, E. Preston Carman, Michael J. Carey, Vassilis J. Tsotras:
FUDJ: Flexible User-Defined Distributed Joins. 4194-4207 - Zite Jiang, Shuai Zhang, Xingzhong Hou, Mengting Yuan, Haihang You:
IVE: Accelerating Enumeration-Based Subgraph Matching via Exploring Isolated Vertices. 4208-4221 - Ziyi Liu, Lei Li, Mengxuan Zhang, Wen Hua, Xiaofang Zhou:
Approximate Skyline Index for Constrained Shortest Pathfinding with Theoretical Guarantee. 4222-4235 - Hiroyuki Ootomo, Akira Naruse, Corey Nolet, Ray Wang, Tamas Feher, Yong Wang:
CAGRA: Highly Parallel Graph Construction and Approximate Nearest Neighbor Search for GPUs. 4236-4247 - Yuhan Wu, Feiyu Wang, Yifan Zhu, Zhuochen Fan, Zhiting Xiong, Tong Yang, Bin Cui:
VisionEmbedder: Bit-Level-Compact Key-Value Storage with Constant Lookup, Rapid Updates, and Rare Failure. 4248-4261 - Yitong Song, Kai Wang, Bin Yao, Zhida Chen, Jiong Xie, Feifei Li:
Efficient Reverse k Approximate Nearest Neighbor Search Over High-Dimensional Vectors. 4262-4274 - Yifan Zhu, Lu Chen, Yunjun Gao, Ruiyao Ma, Baihua Zheng, Jingwen Zhao:
HJG: An Effective Hierarchical Joint Graph for ANNS in Multi-Metric Spaces. 4275-4287 - Kexin Rong, Paul Liu, Sarah Ashok Sonje, Moses Charikar:
Dynamic Data Layout Optimization with Worst-Case Guarantees. 4288-4301 - Yu Yan, Hongzhi Wang, Junfang Huang, Dake Zhong, Tao Yu, Kaixin Zhang, Man Yang, Tianqing Wang:
QCFE: An Efficient Feature Engineering for Query Cost Estimation. 4302-4315 - Na Guo, Yaqi Wang, Wenli Sun, Yu Gu, Jianzhong Qi, Zhenghao Liu, Xiufeng Xia, Ge Yu:
Chameleon: Towards Update-Efficient Learned Indexing for Locally Skewed Data. 4316-4328 - Kai Zhong, Luming Sun, Tao Ji, Cuiping Li, Hong Chen:
FOSS: A Self-Learned Doctor for Query Optimizer. 4329-4342 - Zhuo Chang, Xinyi Zhang, Yang Li, Xupeng Miao, Yanzhao Qin, Bin Cui:
MFIX: An Efficient and Reliable Index Advisor via Multi-Fidelity Bayesian Optimization. 4343-4356 - Tiannuo Yang, Wen Hu, Wangqi Peng, Yusen Li, Jianguo Li, Gang Wang, Xiaoguang Liu:
VDTuner: Automated Performance Tuning for Vector Data Management Systems. 4357-4369 - Jiexi Zhan, Han Wu, Peng Cheng, Libin Zheng, Lei Chen, Chen Jason Zhang, Xuemin Lin, Wenjie Zhang:
TrendSharing: A Framework to Discover and Follow the Trends for Shared Mobility Services. 4370-4382 - Zheng Wang, Cheng Long, Gao Cong, Christian S. Jensen:
Collectively Simplifying Trajectories in a Database: A Query Accuracy Driven Approach. 4383-4395 - Kunming Wang, Shiyu Yang, Jiabao Jin, Peng Cheng, Jianye Yang, Xuemin Lin:
Efficient Learning-based Top-k Representative Similar Subtrajectory Query. 4396-4408 - Fengze Sun, Jianzhong Qi, Yanchuan Chang, Xiaoliang Fan, Shanika Karunasekera, Egemen Tanin:
Urban Region Representation Learning with Attentive Fusion. 4409-4421 - Ziqiao Liu, Hao Miao, Yan Zhao, Chenxi Liu, Kai Zheng, Huan Li:
LightTR: A Lightweight Framework for Federated Trajectory Recovery. 4422-4434 - Minbo Ma, Jilin Hu, Christian S. Jensen, Fei Teng, Peng Han, Zhiqiang Xu, Tianrui Li:
Learning Time-Aware Graph Structures for Spatially Correlated Time Series Forecasting. 4435-4448 - Di Yao, Jin Wang, Wenjie Chen, Fangda Guo, Peng Han, Jingping Bi:
Deep Dirichlet Process Mixture Model for Non-parametric Trajectory Clustering. 4449-4462 - Yuyang Xia, Shuncheng Liu, Quanlin Yu, Liwei Deng, You Zhang, Han Su, Kai Zheng:
Parameterized Decision-Making with Multi-Modality Perception for Autonomous Driving. 4463-4476 - Wenbin Li, Di Yao, Chang Gong, Xiaokai Chu, Quanliang Jing, Xiaolei Zhou, Yuxuan Zhang, Yunxia Fan, Jingping Bi:
CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection. 4477-4490 - Liwei Deng, Yan Zhao, Jin Chen, Shuncheng Liu, Yuyang Xia, Kai Zheng:
Learning to Hash for Trajectory Similarity Computation and Search. 4491-4503 - Chunhui Feng, Junhua Fang, Yue Xia, Pingfu Chao, Pengpeng Zhao, Jiajie Xu, Xiaofang Zhou:
Ocean: Online Clustering and Evolution Analysis for Dynamic Streaming Data. 4504-4517 - Chenxu Wang, Xin Yang, Tianyi Li, Jiaxing Wei, Pinghui Wang, Hongzhen Xiang, Christian S. Jensen:
SWISP: Distributed Convoy Mining via Sliding Window-based Indexing and Sub-track Partitioning. 4518-4531 - Zengyang Gong, Yuxiang Zeng, Lei Chen:
Querying Shortest Path on Large Time-Dependent Road Networks with Shortcuts. 4532-4544 - Kai Huang, Yunqi Li, Qingqing Ye, Yao Tian, Xi Zhao, Yue Cui, Haibo Hu, Xiaofang Zhou:
FRESH: Towards Efficient Graph Queries in an Outsourced Graph. 4545-4557 - Zizhuo Xu, Lei Li, Mengxuan Zhang, Yehong Xu, Xiaofang Zhou:
Managing the Future: Route Planning Influence Evaluation in Transportation Systems. 4558-4572 - Xinjie Zhou, Mengxuan Zhang, Lei Li, Xiaofang Zhou:
Scalable Distance Labeling Maintenance and Construction for Dynamic Small-World Networks. 4573-4585 - Libin Wang, Raymond Chi-Wing Wong, Christian S. Jensen:
Congestion-Mitigating Spatiotemporal Routing in Road Networks. 4586-4599 - Jing Zhao, Lei Li, Mengxuan Zhang, Zihan Luo, Xi Zhao, Xiaofang Zhou:
A Just-In-Time Framework for Continuous Routing. 4600-4613 - Zheng Bian, Xiao Yan, Jiahao Zhang, Man Lung Yiu, Bo Tang:
QSRP: Efficient Reverse k-Ranks Query Processing on High-Dimensional Embeddings. 4614-4627 - Zhihao Zeng, Ziquan Fang, Lu Chen, Yunjun Gao, Kai Zheng, Gang Chen:
FedCTQ: A Federated-Based Framework for Accurate and Efficient Contact Tracing Query. 4628-4642 - Tieying Li, Xiaochun Yang, Yiping Ke, Bin Wang, Yinan Liu, Jiaxing Xu:
Alleviating the Inconsistency of Multimodal Data in Cross-Modal Retrieval. 4643-4656 - Hulingxiao He, Xiangteng He, Yuxin Peng, Zifei Shan, Xin Su:
Firzen: Firing Strict Cold-Start Items with Frozen Heterogeneous and Homogeneous Graphs for Recommendation. 4657-4670 - Hengzhao Ma, Jianzhong Li, Yong Zhang:
Reconsidering Tree based Methods for k-Maximum Inner-Product Search: The LRUS-CoverTree. 4671-4684 - Zetao Zheng, Jie Shao, Shilong Deng, Anjie Zhu, Heng Tao Shen, Xiaofang Zhou:
Cross-Insight Trader: A Trading Approach Integrating Policies with Diverse Investment Horizons for Portfolio Management. 4685-4698 - Yang Yu, Meiyu Liang, Mengran Yin, Kangkang Lu, Junping Du, Zhe Xue:
Unsupervised Multimodal Graph Contrastive Semantic Anchor Space Dynamic Knowledge Distillation Network for Cross-Media Hash Retrieval. 4699-4708 - Zetao Zheng, Jie Shao, Feiyu Chen, Anjie Zhu, Shilong Deng, Heng Tao Shen:
HIT: Solving Partial Index Tracking via Hierarchical Reinforcement Learning. 4709-4721 - Jing Xie, James B. Wendt, Yichao Zhou, Seth Ebner, Sandeep Tata:
FieldSwap: Data Augmentation for Effective Form-Like Document Extraction. 4722-4732 - Xiaokai Chu, Changying Hao, Shuaiqiang Wang, Dawei Yin, Jiashu Zhao, Lixin Zou, Chenliang Li:
LT2R: Learning to Online Learning to Rank for Web Search. 4733-4746 - Mengzhao Wang, Xiangyu Ke, Xiaoliang Xu, Lu Chen, Yunjun Gao, Pinpin Huang, Runkai Zhu:
MUST: An Effective and Scalable Framework for Multimodal Search of Target Modality. 4747-4759 - Chengkun He, Xiangmin Zhou, Chen Wang, Iqbal Gondal, Jie Shao, Xun Yi:
Online Anomaly Detection over Live Social Video Streaming. 4760-4772 - Xiangyu Gao, Jianzhong Li, Dongjing Miao:
Computing All Restricted Skyline Probabilities on Uncertain Datasets. 4773-4786 - Siyuan Dong, Zhuochen Fan, Tianyu Bai, Tong Yang, Hanyu Xue, Peiqing Chen, Yuhan Wu:
M4: A Framework for Per-Flow Quantile Estimation. 4787-4800 - Jiaqian Liu, Ran Ben Basat, Louis De Wardt, Haipeng Dai, Guihai Chen:
DISCO: A Dynamically Configurable Sketch Framework in Skewed Data Streams. 4801-4814 - Qilong Shi, Chengjun Jia, Wenjun Li, Zaoxing Liu, Tong Yang, Jianan Ji, Gaogang Xie, Weizhe Zhang, Minlan Yu:
BitMatcher: Bit-level Counter Adjustment for Sketches. 4815-4827 - Estéban Gabory, Chang Liu, Grigorios Loukides, Solon P. Pissis, Wiktor Zuba:
Space-Efficient Indexes for Uncertain Strings. 4828-4842 - Tianyi Chen, Jun Gao, Yaofeng Tu, Mo Xu:
GLO: Towards Generalized Learned Query Optimization. 4843-4855 - Hai Lan, Zhifeng Bao, J. Shane Culpepper, Renata Borovica-Gajic, Yu Dong:
A Fully On-Disk Updatable Learned Index. 4856-4869 - Qiang Yue, Xiaoliang Xu, Yuxiang Wang, Yikun Tao, Xuliyuan Luo:
Routing-Guided Learned Product Quantization for Graph-Based Approximate Nearest Neighbor Search. 4870-4883 - Antonis Mandamadiotis, Georgia Koutrika, Sihem Amer-Yahia:
Guided SQL-Based Data Exploration with User Feedback. 4884-4896 - Tianyu Mu, Hongzhi Wang, Haoyun Tang, Xinyue Shao:
ShrinkHPO: Towards Explainable Parallel Hyperparameter Optimization. 4897-4910 - Zhaoxuan Ji, Zhongle Xie, Yuncheng Wu, Meihui Zhang:
LBSC: A Cost-Aware Caching Framework for Cloud Databases. 4911-4924 - Zibo Liang, Xu Chen, Yuyang Xia, Runfan Ye, Haitian Chen, Jiandong Xie, Kai Zheng:
DACE: A Database-Agnostic Cost Estimator. 4925-4937 - Jinhong Li, Yanjing Ren, Shujie Han, Patrick P. C. Lee:
Enhancing LSM-Tree Key-Value Stores for Read-Modify-Writes via Key-Delta Separation. 4938-4950 - Huajun He, Zihang Xu, Ruiyuan Li, Jie Bao, Tianrui Li, Yu Zheng:
TMan: A High-Performance Trajectory Data Management System Based on Key-Value Stores. 4951-4964 - Aniket Modi, Rohan Tikmany, Tanu Malik, Raghavan Komondoor, Ashish Gehani, Deepak D'Souza:
Kondo: Efficient Provenance-Driven Data Debloating. 4965-4978 - Mingze Xia, Sheng Di, Franck Cappello, Pu Jiao, Kai Zhao, Jinyang Liu, Xuan Wu, Xin Liang, Hanqi Guo:
Preserving Topological Feature with Sign-of-Determinant Predicates in Lossy Compression: A Case Study of Vector Field Critical Points. 4979-4992 - Devris Isler, Elisa Cabana, Álvaro García-Recuero, Georgia Koutrika, Nikolaos Laoutaris:
FreqyWM: Frequency Watermarking for the New Data Economy. 4993-5007 - Youhua Li, Hanwen Du, Yongxin Ni, Pengpeng Zhao, Qi Guo, Fajie Yuan, Xiaofang Zhou:
Multi-Modality is All You Need for Transferable Recommender Systems. 5008-5021 - Wen Yang, Jiajie Xu, Rui Zhou, Lu Chen, Jianxin Li, Pengpeng Zhao, Chengfei Liu:
Multi-view Attentive Variational Learning for Group Recommendation. 5022-5034 - Yongyi Hu, Xueyan Li, Xikai Wei, Yangguang Shi, Xiaofeng Gao, Guihai Chen:
Corruption Robust Dynamic Pricing in Liner Shipping under Capacity Constraint. 5035-5047 - Tangwen Qian, Yile Chen, Gao Cong, Yongjun Xu, Fei Wang:
AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction. 5048-5060 - Nan Jiang, Haitao Yuan, Jianing Si, Minxiao Chen, Shangguang Wang:
Towards Effective Next POI Prediction: Spatial and Semantic Augmentation with Remote Sensing Data. 5061-5074 - Hao Xin, Lei Chen:
KartGPS: Knowledge Base Update with Temporal Graph Pattern-based Semantic Rules. 5075-5087 - Lang Mei, Jiaxin Mao, Ji-Rong Wen:
Optimizing Probabilistic Box Embeddings with Distance Measures. 5088-5100 - Minkuan Lu, Jianhua Yin, Kaijun Wang, Liqiang Nie:
A Multi-View Clustering Algorithm for Short Text. 5101-5110 - Puya Memarzia, Huaxin Zhang, Kelvin Ho, Ronen Grosman, Jiang Wang:
GaussDB-Global: A Geographically Distributed Database System. 5111-5118 - Yingqiang Zhang, Xinjun Yang, Hao Chen, Feifei Li, Jiawei Xu, Jie Zhou, Xudong Wu, Qiang Zhang:
Towards a Shared-Storage-Based Serverless Database Achieving Seamless Scale-Up and Read Scale-Out. 5119-5131 - Chaitanya Sreenivas Ravella, Prashanth Purnananda, Hanuma Kodavalla, Peter Byrne, Adrian-Leonard Radu, Wayne Chen, Srikanth Sampath, Naga Bhavana Atluri, Srinag Rao, Priyanka Kakade:
Optimized Locking in SQL Azure. 5132-5141 - Xin Tang, Chengliang Chai, Dawei Zhao, Haohai Ma, Yong Zheng, Zhenyong Fan, Xin Wu, Jiaquan Zhang, Rui Zhang, Duanshun Li, Yi He, Keji Huang, Guangbin Meng, Yidong Wang, Yuefeng Zhou, Tao Tao, Lirong Jian, Jiwu Shu, Yuping Wang, Ye Yuan, Guoren Wang, Guoliang Li:
Separation Is for Better Reunion: Data Lake Storage at Huawei. 5142-5155 - Kanchan Chowdhury, Mohamed Sarwat:
Deep Learning with Spatiotemporal Data: A Deep Dive into GeotorchAI. 5156-5169 - Yuze Lou, Chuan Lei, Xiao Qin, Zichen Wang, Christos Faloutsos, Rishita Anubhai, Huzefa Rangwala:
DATALORE: Can a Large Language Model Find All Lost Scrolls in a Data Repository? 5170-5176 - Barrie Kersbergen, Olivier Sprangers, Frank Kootte, Shubha Guha, Maarten de Rijke, Sebastian Schelter:
Etude - Evaluating the Inference Latency of Session-Based Recommendation Models at Scale. 5177-5183 - Yilun Liu, Shimin Tao, Xiaofeng Zhao, Ming Zhu, Wenbing Ma, Junhao Zhu, Chang Su, Yutai Hou, Miao Zhang, Min Zhang, Hongxia Ma, Li Zhang, Hao Yang, Yanfei Jiang:
CoachLM: Automatic Instruction Revisions Improve the Data Quality in LLM Instruction Tuning. 5184-5197 - Guoliang Li, Ji Sun, Lijie Xu, Shifu Li, Jiang Wang, Wen Nie:
GaussML: An End-to-End In-Database Machine Learning System. 5198-5210 - Weizheng Lu, Kaisheng He, Xuye Qin, Chengjie Li, Zhong Wang, Tao Yuan, Xia Liao, Feng Zhang, Yueguo Chen, Xiaoyong Du:
Xorbits: Automating Operator Tiling for Distributed Data Science. 5211-5223 - Xiaoda Wang, Yuan Tang, Tengda Guo, Bo Sang, Jiewei Wu, Jian Sha, Ke Zhang, Jiang Qian, Mingjie Tang:
Couler: Unified Machine Learning Workflow Optimization in Cloud. 5224-5237 - Youshao Xiao, Lin Ju, Zhenglei Zhou, Siyuan Li, Zhaoxin Huan, Dalong Zhang, Rujie Jiang, Lin Wang, Xiaolu Zhang, Lei Liang, Jun Zhou:
AntDT: A Self-Adaptive Distributed Training Framework for Leader and Straggler Nodes. 5238-5251 - Dan Graur, Remo Röthlisberger, Adrian Jenny, Ghislain Fourny, Filip Drozdowski, Choden Konigsmark, Ingo Müller, Gustavo Alonso:
Addressing the Nested Data Processing Gap: JSONiq Queries on Snowflake Through Snowpark. 5252-5265 - Rui Wang, Xinjun Yang, Feifei Li, David B. Lomet, Xin Liu, Panfeng Zhou, Yongxiang Chen, David Zhang, Jingren Zhou, Jiesheng Wu:
Bwe-tree: An Evolution of Bw-tree on Fast Storage. 5266-5279 - Zuzhi Chen, Fuxin Jiang, Binbin Chen, Yu Li, Yunkai Zhang, Chao Huang, Rui Yang, Fan Jiang, Jianjun Chen, Wu Xiang, Guozhu Cheng, Rui Shi, Ning Ma, Wei Zhang, Tieying Zhang:
Resource Allocation with Service Affinity in Large-Scale Cloud Environments. 5280-5293 - Gan Peng, Peng Cai, Kaikai Ye, Kai Li, Jinlong Cai, Yufeng Shen, Han Su, Weiyuan Xu:
Online Index Recommendation for Slow Queries. 5294-5306 - Tian Jiang, Xiangdong Huang, Shaoxu Song, Chen Wang, Jianmin Wang:
On Tuning Raft for IoT Workload in Apache IoTDB. 5307-5319 - Jayanth Yetukuri, Yuyan Wang, Ishita Khan, Liyang Hao, Zhe Wu, Yang Liu:
Multifaceted Reformulations for Null & Low queries and its parallelism with Counterfactuals. 5327-5333 - Chang Lu, Liuqing Li, Donghyun Kim, Xinyue Wang, Rao Shen:
An Effective, Efficient, and Stable Framework for Query Clustering. 5334-5340 - Soteris Constantinou, Constantinos Costa, Andreas Konstantinidis, Mohamed F. Mokbel, Demetrios Zeinalipour-Yazti:
A Framework for Continuous kNN Ranking of EV Chargers with Estimated Components. 5341-5353 - Immanuel Trummer:
Large Language Models: Principles and Practice. 5354-5357 - Stephan A. Fahrenkrog-Petersen, Han van der Aa, Matthias Weidlich:
Privacy-Aware Analysis based on Data Series. 5365-5370 - Amin Kamali, Verena Kantere, Calisto Zuzarte:
Robust Query Optimization in the Era of Machine Learning: State-of-the-Art and Future Directions. 5371-5375 - Rihan Hai, Shih-Han Hung, Sebastian Feld:
Quantum Data Management: From Theory to Opportunities. 5376-5381 - Paul Boniol, John Paparrizos, Themis Palpanas:
An Interactive Dive into Time-Series Anomaly Detection. 5382-5386 - Wolfgang Gatterbauer:
A Comprehensive Tutorial on Over 100 Years of Diagrammatic Representations of Logical Statements and Relational Queries. 5387-5392 - Henning Koehler, Sebastian Link:
Entity/Relationship Profiling. 5393-5396 - Genki Kusano:
GA-Tag: Data Enrichment with an Automatic Tagging System Utilizing Large Language Models. 5397-5400 - Luca Cavalcanti, Cristian Consonni, Martin Brugnara, David Laniado, Alberto Montresor:
Comparing Personalized Relevance Algorithms for Directed Graphs. 5401-5404 - Jalal Khalil, Da Yan, Lyuheng Yuan, Jiao Han, Saugat Adhikari, Cheng Long, Yang Zhou:
FSM-Explorer: An Interactive Tool for Frequent Subgraph Pattern Mining From a Big Graph. 5405-5408 - Chengyang Luo, Lu Jin, Qing Liu, Yunjun Gao, Lu Chen:
TASKS: A Real-Time Query System for Instant Error-Tolerant Spatial Keyword Queries on Road Networks. 5409-5412 - Anna Pavlenko, Karla Saur, Yiwen Zhu, Brian Kroth, Joyce Cahoon, Jesús Camacho-Rodríguez:
VASIM: Vertical Autoscaling Simulator Toolkit. 5413-5416 - Yuanfeng Song, Jinwei Lu, Xuefang Zhao, Raymond Chi-Wing Wong, Haodi Zhang:
Demonstration of FeVisQA: Free-Form Question Answering over Data Visualization. 5417-5420 - Ran Schreiber, Yael Amsterdamer:
CleanEr: Interactive, Query-Guided Error Mitigation for Data Cleaning Systems. 5421-5424 - Arash Hajisafi, Maria Despoina Siampou, Jize Bi, Luciano Nocera, Cyrus Shahabi:
Wearables for Health (W4H) Toolkit for Acquisition, Storage, Analysis and Visualization of Data from Various Wearable Devices. 5425-5428 - Jun-Peng Zhu, Peng Cai, Boyan Niu, Zheming Ni, Kai Xu, Jiajun Huang, Jianwei Wan, Shengbo Ma, Bing Wang, Donghui Zhang, Liu Tang, Qi Liu:
Chat2Query: A Zero-Shot Automatic Exploratory Data Analysis System with Large Language Models. 5429-5432 - Yihao Ang, Qiang Huang, Anthony K. H. Tung, Zhiyong Huang:
EADS: An Early Anomaly Detection System for Sensor-Based Multivariate Time Series. 5433-5436 - Sylvain W. Combettes, Paul Boniol, Charles Truong, Laurent Oudre:
dsymb Playground: An Interactive Tool to Explore Large Multivariate Time Series Datasets. 5437-5440 - Paul Boniol, Emmanouil Sylligardos, John Paparrizos, Panos E. Trahanias, Themis Palpanas:
ADecimo: Model Selection for Time Series Anomaly Detection. 5441-5444 - Yun Peng, Sen Lin, Qian Chen, Shaowei Wang, Lyu Xu, Xiaojun Ren, Yafei Li, Jianliang Xu:
ChatGraph: Chat with Your Graphs. 5445-5448 - Amela Fejza, Pierre Genevès, Nabil Layaïda:
A Fast Plan Enumerator for Recursive Queries. 5449-5452 - Petros Skoufis, Dimitrios Skoutas:
KGSEC: A Modular Framework for Knowledge Graph Schema Extraction and Comparison. 5453-5456 - Konstantinos Chasialis, Theoni Palaiologou, Yannis Foufoulas, Alkis Simitsis, Yannis E. Ioannidis:
QFusor: A UDF Optimizer Plugin for SQL Databases. 5457-5460 - Junjie Xing, H. V. Jagadish:
ARTS: A System for Aggregate Related Table Search. 5461-5464 - Kiarash Golzadeh, Lukasz Golab, Jaroslaw Szlichta:
Explaining Expert Search Systems with ExES. 5465-5468 - Joel Rorseth, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta:
RAGE Against the Machine: Retrieval-Augmented LLM Explanations. 5469-5472 - Nico Lässig, Melanie Herschel, Ole Nies:
FairCR - An Evaluation and Recommendation System for Fair Classification Algorithms. 5473-5476 - Duy Le, Kris Zhao, Mengying Wang, Yinghui Wu:
GraphLingo: Domain Knowledge Exploration by Synchronizing Knowledge Graphs and Large Language Models. 5477-5480 - Weicheng Wang, Min Xie, Raymond Chi-Wing Wong:
MixedSearch: An Interactive System of Searching for the Best Tuple with Mixed Attributes. 5481-5484 - Siqi Xiang, Zhonghao Yang, Jianjun Zhao, Yancan Mao, Shuhao Zhang:
MorphStream: Scalable Processing of Transactions over Streams. 5485-5488 - Gengyuan Shi, Chaokun Wang, Minghao Zhang, Binbin Wang:
FONT: A Flexible Polystore Evaluation Platform. 5489-5492 - Andy Yu, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta:
CAMO: Explaining Consensus Across MOdels. 5493-5496 - Yunfan Kang, Yongyi Liu, Hussah Alrashid, Akash Bilgi, Siddhant Purohit, Ahmed Mahmood, Sergio J. Rey, Amr Magdy:
Pyneapple-R: Scalable and Expressive Spatial Regionalization. 5497-5500 - Michael J. Carey, Don Chamberlin, Almann Goo, Kian Win Ong, Yannis Papakonstantinou, Chris Suver, Sitaram Vemulapalli, Till Westmann:
SQL++: We Can Finally Relax! 5501-5510 - Alberto Lerner, Gustavo Alonso:
Data Flow Architectures for Data Processing on Modern Hardware. 5511-5522 - Alon Y. Halevy, Yuliang Li, Wang-Chiew Tan:
Personal Manifold: Management of Personal Data in the Age of Large Language Models. 5523-5529 - Meihui Zhang, Zhaoxuan Ji, Zhaojing Luo, Yuncheng Wu, Chengliang Chai:
Applications and Challenges for Large Language Models: From Data Management Perspective. 5530-5541 - Christian S. Jensen, Bin Yang, Chenjuan Guo, Jilin Hu, Kristian Torp:
Routing with Massive Trajectory Data. 5542-5547 - Yuran Bi, Yihang Wu, Jinfei Liu, Kui Ren, Li Xiong:
When Data Pricing Meets Non-Cooperative Game Theory. 5548-5559 - Shufan Zhang, Xi He, Ashish Kundu, Sharad Mehrotra, Shantanu Sharma:
Secure Normal Form: Mediation Among Cross Cryptographic Leakages in Encrypted Databases. 5560-5573 - Stefano Ceri, Anna Bernasconi, Alessia Gagliardi:
Reactive Knowledge Management. 5574-5582 - Hiroyuki Yamada, Masaru Kitsuregawa, Kazuo Goda:
LakeHarbor: Making Structures First-Class Citizens in Data Lakes. 5583-5592 - Yunyan Guo, Guoliang Li:
A CXL- Powered Database System: Opportunities and Challenges. 5593-5604 - James Clarkson, Georgios Theodorakis, Jim Webber:
BIFROST: A Future Graph Database Runtime. 5605-5613 - Dominik Winecki, Arnab Nandi:
V2V: Efficiently Synthesizing Video Results for Video Queries. 5614-5621 - Maximilian E. Schüle, Jakob Hornung:
Higher-Order SQL Lambda Functions. 5622-5628 - Jiangtao Lu, Song Huang:
PR-GNN: Enhancing PoC Report Recommendation with Graph Neural Network. 5629-5633 - Tim Baccaert, Bas Ketsman:
Cascade: Optimal Transaction Scheduling for High-Contention Workloads. 5634-5638 - Emanuele Cavalleri, Marco Mesiti:
Construction and Enhancement of an RNA-Based Knowledge Graph for Discovering New RNA Drugs. 5639-5643 - Tarikul Islam Papon:
Enhancing Data Systems Performance by Exploiting SSD Concurrency & Asymmetry. 5644-5648 - Yuta Nakamura, Tanu Malik:
Differential Analysis for System Provenance. 5649-5653 - Arijit Khan:
Synergies Between Graph Data Management and Machine Learning in Graph Data Pipeline. 5655-5656 - Paolo Papotti:
Large Language Models as Storage for SQL Querying. 5657-5658 - Haneen Mohammed, Alexander Yao, Lampros Flokas, Hongbin Zhong, Charlie Summers, Eugene Wu:
Accelerating Deletion Interventions on OLAP Workload. 5659 - Sanad Saha, Nischal Aryal, Leilani Battle, Arash Termehchy:
User Learning In Interactive Data Exploration. 5660-5661 - Odysseas Papapetrou, Jens E. d'Hondt:
Multivariate Similarity Search - A Call for a New Breed of Similarity Search Algorithms. 5662 - Samuele Langhi, Angela Bonifati, Riccardo Tommasini:
Towards Streaming Consistency Management. 5663 - George Papadakis, Ekaterini Ioannou, Yannis Velegrakis:
Unveiling Dis-Integration. 5664 - Wenbo Sun, Rihan Hai:
Cross-Source ML Model Training. 5665-5666 - Søren Kejser Jensen, Christian Thomsen, Torben Bach Pedersen, Carlos Enrique Muñiz-Cuza, Abduvoris Abduvakhobov:
Why Model-Based Lossy Compression is Great for Wind Turbine Analytics. 5667-5668 - Joel Rorseth, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta:
Towards Explainability in Retrieval-Augmented LLMs. 5669-5670 - Rodrigo Laigner, Yongluan Zhou:
Benchmarking Data Management Systems for Microservices. 5671-5672 - Andy Yu, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta:
Exploring the Space of Model Comparisons. 5673-5674 - Walid G. Aref:
On Native Location-Optimized Data Systems. 5675-5676 - Cheng Chen, Shuai Zhang:
Observations and Opportunities in Solving Large-Scale Graph Data Processing Challenges at ByteDance by Using Heterogeneous Hardware. 5677-5678 - Rihan Hai, Christos Koutras, Christoph Quix, Matthias Jarke:
Data Lakes: A Survey of Functions and Systems (Extended abstract). 5679-5680 - Haoyang Li, Xin Wang, Ziwei Zhang, Wenwu Zhu:
OOD-GNN: Out-of-Distribution Generalized Graph Neural Network: (Extended Abstract). 5681-5682 - Ning Liu, Songlei Jian, Dongsheng Li, Yiming Zhang, Zhiquan Lai, Hongzuo Xu:
Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning (Extended Abstract). 5683-5684 - Tsz Nam Chan, Zhe Li, Leong Hou U, Reynold Cheng:
PLAME: Piecewise-Linear Approximate Measure for Additive Kernel SVM (Extended abstract). 5685-5686 - Saeed Najafipour Najafipour, Saeid Hosseini, Wen Hua, Mohammad Reza Kangavari, Xiaofang Zhou:
Short-Text Author Linking Through Multi-Facet Temporal-Textual Embedding (Extended Abstract). 5687-5688 - Jiaxin Jiang, Byron Choi, Xin Huang, Jianliang Xu, Sourav S. Bhowmick:
DKWS: A Distributed System for Keyword Search on Massive Graphs (Extended Abstract). 5689-5690 - Zhiqiang Zhong, Cheng-Te Li, Jun Pang:
Multi-Grained Semantics-Aware Graph Neural Networks (Extended abstract). 5691-5692 - Franco Maria Nardini, Cosimo Rulli, Salvatore Trani, Rossano Venturini:
Distilled Neural Networks for Efficient Learning to Rank: (Extended Abstract). 5693-5694 - Zi Chen, Long Yuan, Li Han, Zhengping Qian:
Higher-Order Truss Decomposition in Graphs (Extended Abstract). 5695-5696 - Yiwei Zhao, Zi Chen, Chen Chen, Xiaoyang Wang, Xuemin Lin, Wenjie Zhang:
Finding the Maximum k- Balanced Biclique on Weighted Bipartite Graphs (Extended abstract). 5697-5698 - Ningning Cui, Dong Wang, Jianxin Li, Huaijie Zhu, Xiaochun Yang, Jianliang Xu, Jie Cui, Hong Zhong:
Enabling Efficient, Verifiable, and Secure Conjunctive Keyword Search in Hybrid-Storage Blockchains. 5699-5700 - Jiping Zheng, Fanxu Meng, Yanhao Wang, Xiaoyang Wang, Sheng Wang, Yuan Ma, Zhiyang Hao:
Hybrid Regret Minimization: A Submodular Approach (Extended Abstract). 5701-5702 - Sepanta Zeighami, Raghav Seshadri, Cyrus Shahabi:
A Neural Database for Answering Aggregate Queries on Incomplete Relational Data (Extended Abstract). 5703-5704 - Kefei Yan, Wei Fang, Hengyang Lu, Xin Zhang, Jun Sun, Xiaojun Wu:
Mutual Information-Guided GA for Bayesian Network Structure Learning (Extended Abstract). 5705-5706 - Xiaolong Wan, Xixian Han, Jinbao Wang, Jianzhong Li:
Efficient Discovery of Functional Dependencies on Massive Data (Extended Abstract). 5707-5708 - Hanchen Wang, Jianke Yu, Xiaoyang Wang, Chen Chen, Wenjie Zhang, Xuemin Lin:
Neural Similarity Search on Supergraph Containment (Extended Abstract). 5709-5710 - Tiantian Liu, Huan Li, Hua Lu, Muhammad Aamir Cheema, Harry Kai-Ho Chan:
Contact Tracing over Uncertain Indoor Positioning Data (Extended Abstract). 5711-5712 - Xiaolong Wan, Hongzhi Wang:
Efficient Semi-External SCC Computation (Extended Abstract). 5713-5714 - Mohsen Saaki, Saeid Hosseini, Sana Rahmani, Mohammad Reza Kangavari, Wen Hua, Xiaofang Zhou:
Value-Wise ConvNet for Transformer Models: An Infinite Time-Aware Recommender System (Extended Abstract). 5715-5716 - Qika Lin, Jun Liu, Lingling Zhang, Yudai Pan, Xin Hu, Fangzhi Xu, Hongwei Zeng:
Contrastive Graph Representations for Logical Formulas Embedding (Extended Abstract). 5717-5718 - Xinyue Shao, Hongzhi Wang, Xiang Chen, Xiao Zhu, Yan Zhang:
CUBE: Causal Intervention-based Counterfactual Explanation for Prediction Models (Extended Abstract). 5719-5720 - Chuan Ma, Long Yuan, Li Han, Ming Ding, Raghav Bhaskar, Jun Li:
Data Level Privacy Preserving: A Stochastic Perturbation Approach Based on Differential Privacy (Extended abstract). 5721-5722 - Taotao Cai, Shuiqiao Yang, Jianxin Li, Quan Z. Sheng, Jian Yang, Xin Wang, Wei Emma Zhang, Longxiang Gao:
Incremental Graph Computation: Anchored Vertex Tracking in Dynamic Social Networks (Extended Abstract). 5723-5724 - Matteo Paganelli, Paolo Sottovia, Kwanghyun Park, Matteo Interlandi, Francesco Guerra:
Pushing ML Predictions into DBMSs (Extended Abstract). 5725-5726 - Aman Abidi, Lu Chen, Rui Zhou, Chengfei Liu:
Searching Personalized k-wing in Bipartite Graphs (Extended Abstract). 5727-5728 - Xi Chen, Xiangmin Zhou, Jeffrey Chan, Lei Chen, Timos Sellis, Yanchun Zhang:
Complex Event Summarization Using Multi-Social Attribute Correlation (Extended Abstract). 5729-5730 - Ling Li, Yuhai Zhao, Siqiang Luo, Guoren Wang, Zhengkui Wang:
Efficient Community Search in Edge-Attributed Graphs (Extended Abstract). 5731-5732 - Wei Fang, Haipeng Jiang, Hengyang Lu, Jun Sun, Xiaojun Wu, Jerry Chun-Wei Lin:
GPU-Based Efficient Parallel Heuristic Algorithm for High-Utility Itemset Mining in Large Transaction Datasets (Extended Abstract). 5733-5734 - Nur Athirah Azhar, Muhammad Syafiq Mohd Pozi, Aniza Mohamed Din, Adam Jatowt:
An Investigation of SMOTE Based Methods for Imbalanced Datasets with Data Complexity Analysis (Extended Abstract). 5735-5736 - Xiaoye Miao, Yangyang Wu, Lu Chen, Yunjun Gao, Jianwei Yin:
An Experimental Survey of Missing Data Imputation Algorithms (Extended Abstract). 5737-5738 - Yangyang Wu, Jun Wang, Xiaoye Miao, Wenjia Wang, Jianwei Yin:
Differentiable and Scalable Generative Adversarial Models for Data Imputation (Extended Abstract). 5739-5740 - Weixin Zeng, Xiang Zhao, Zhen Tan, Jiuyang Tang, Xueqi Cheng:
Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study [Extended Abstract]. 5741-5742 - Delvin Ce Zhang, Hady Wirawan Lauw:
Topic Modeling on Document Networks with Dirichlet Optimal Transport Barycenter. 5743-5744 - Yuan Xie, Fan Wu, Xu Zhou, Wensheng Luo, Yifang Yin, Roger Zimmermann, Keqin Li, Kenli Li:
Trajectory-Aware Task Coalition Assignment in Spatial Crowdsourcing (Extended Abstract). 5745-5746 - Yifan Zhu, Qika Lin, Hao Lu, Kaize Shi, Donglei Liu, James Chambua, Shanshan Wan, Zhendong Niu:
Recommending Learning Objects through Attentive Heterogeneous Graph Convolution and Operation- Aware Neural Network (Extended Abstract). 5747-5748 - Woojin Doo, Heeyoung Kim:
Simultaneous Deep Clustering and Feature Selection via K-concrete Autoencoder (Extended abstract). 5749-5750 - Saeed Najafi Pour, Saeid Hosseini, Wen Hua, Mohammad Reza Kangavari, Xiaofang Zhou:
SoulMate: Short-Text Author Linking Through Multi-Aspect Temporal-Textual Embedding (Extended Abstract). 5751-5752 - Yufeng Zhang, Wei Chen, Xi Chen, Qingzhi Ma, Lei Zhao:
Inductive Link Prediction for Sequential-emerging Knowledge Graph. 5753-5766 - Nan Zhang, Yutong Ye, Xiang Lian, Mingsong Chen:
Top-L Most Influential Community Detection Over Social Networks. 5767-5779
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