ICDE A*

502 papers

YearTitle / Authors
202440th IEEE International Conference on Data Engineering, ICDE 2024, Utrecht, The Netherlands, May 13-16, 2024
2024A CXL- Powered Database System: Opportunities and Challenges.
Yunyan Guo, Guoliang Li
2024A Coarse-to-Fine Framework for Entity-Relation Joint Extraction.
Mingchen Zhang, Jiaan Wang, Jianfeng Qu, Zhixu Li, An Liu, Lei Zhao, Zhigang Chen, Xiaofang Zhou
2024A Compact and Accurate Sketch for Estimating a Large Range of Set Difference Cardinalities.
Peng Jia, Pinghui Wang, Rundong Li, Junzhou Zhao, Junlan Feng, Xidian Wang, Xiaohong Guan
2024A Comprehensive Tutorial on Over 100 Years of Diagrammatic Representations of Logical Statements and Relational Queries.
Wolfgang Gatterbauer
2024A Critical Re-evaluation of Record Linkage Benchmarks for Learning-Based Matching Algorithms.
George Papadakis, Nishadi Kirielle, Peter Christen, Themis Palpanas
2024A Fast Plan Enumerator for Recursive Queries.
Amela Fejza, Pierre Genevès, Nabil Layaïda
2024A Framework for Continuous kNN Ranking of EV Chargers with Estimated Components.
Soteris Constantinou, Constantinos Costa, Andreas Konstantinidis, Mohamed F. Mokbel, Demetrios Zeinalipour-Yazti
2024A Fully On-Disk Updatable Learned Index.
Hai Lan, Zhifeng Bao, J. Shane Culpepper, Renata Borovica-Gajic, Yu Dong
2024A Just-In-Time Framework for Continuous Routing.
Jing Zhao, Lei Li, Mengxuan Zhang, Zihan Luo, Xi Zhao, Xiaofang Zhou
2024A Multi-Task Learning Framework for Reading Comprehension of Scientific Tabular Data.
Xu Yang, Meihui Zhang, Ju Fan, Zeyu Luo, Yuxin Yang
2024A Multi-View Clustering Algorithm for Short Text.
Minkuan Lu, Jianhua Yin, Kaijun Wang, Liqiang Nie
2024A Neural Database for Answering Aggregate Queries on Incomplete Relational Data (Extended Abstract).
Sepanta Zeighami, Raghav Seshadri, Cyrus Shahabi
2024A Predictive Profiling and Performance Modeling Approach for Distributed Stream Processing in Edge.
Hasan Geren, Nasrin Sohrabi, Zahir Tari, Nour Moustafa
2024A Revisit to Graph Neighborhood Cardinality Estimation.
Pinghui Wang, Yuanming Zhang, Kuankuan Cheng, Junzhou Zhao
2024A Robust Low-Rank Tensor Decomposition and Quantization based Compression Method.
Yudian Ouyang, Kun Xie, Jigang Wen, Gaogang Xie, Kenli Li
2024A Robust Prioritized Anomaly Detection when Not All Anomalies are of Primary Interest.
Guanyu Lu, Fang Zhou, Martin Pavlovski, Chenyi Zhou, Cheqing Jin
2024A Spatio-Temporal Series Data Model with Efficient Indexing and Layout for Cloud-Based Trajectory Data Management.
Yang Guo, Zhiqi Wang, Jin Xue, Zili Shao
2024A Two-Phase Recall-and-Select Framework for Fast Model Selection.
Jianwei Cui, Wenhang Shi, Honglin Tao, Wei Lu, Xiaoyong Du
2024A Unified Model for Spatio-Temporal Prediction Queries with Arbitrary Modifiable Areal Units.
Liyue Chen, Jiangyi Fang, Tengfei Liu, Shaosheng Cao, Leye Wang
2024A Unified Replay-Based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data.
Hao Miao, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Feiteng Huang, Jiandong Xie, Christian S. Jensen
2024ADecimo: Model Selection for Time Series Anomaly Detection.
Paul Boniol, Emmanouil Sylligardos, John Paparrizos, Panos E. Trahanias, Themis Palpanas
2024AFTER: Adaptive Friend Discovery for Temporal-Spatial and Social-Aware XR.
Bing-Jyue Chen, Ho Chiok Yew, De-Nian Yang
2024ARTS: A System for Aggregate Related Table Search.
Junjie Xing, H. V. Jagadish
2024Accelerating Aggregation Using a Real Processing-in-Memory System.
Muhammad Attahir Jibril, Hani Al-Sayeh, Kai-Uwe Sattler
2024Accelerating Biclique Counting on GPU.
Linshan Qiu, Zhonggen Li, Xiangyu Ke, Lu Chen, Yunjun Gao
2024Accelerating Deletion Interventions on OLAP Workload.
Haneen Mohammed, Alexander Yao, Lampros Flokas, Hongbin Zhong, Charlie Summers, Eugene Wu
2024Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation.
Xinyi Gao, Wentao Zhang, Junliang Yu, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin
2024Accelerating SpMV for Scale-Free Graphs with Optimized Bins.
Yuang Chen, Jeffrey Xu Yu
2024Accurate Explanation Model for Image Classifiers using Class Association Embedding.
Ruitao Xie, Jingbang Chen, Limai Jiang, Rui Xiao, Yi Pan, Yunpeng Cai
2024Across Images and Graphs for Question Answering.
Zhenyu Wen, Jiaxu Qian, Bin Qian, Qin Yuan, Jianbin Qin, Qi Xuan, Ye Yuan
2024AdaEdge: A Dynamic Compression Selection Framework for Resource Constrained Devices.
Chunwei Liu, John Paparrizos, Aaron J. Elmore
2024AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity.
Xunkai Li, Zhengyu Wu, Wentao Zhang, Henan Sun, Rong-Hua Li, Guoren Wang
2024AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction.
Tangwen Qian, Yile Chen, Gao Cong, Yongjun Xu, Fei Wang
2024Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation.
Bowen Zheng, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ming Chen, Ji-Rong Wen
2024Adaptive Hypergraph Network for Trust Prediction.
Rongwei Xu, Guanfeng Liu, Yan Wang, Xuyun Zhang, Kai Zheng, Xiaofang Zhou
2024Adaptive Recursive Query Optimization.
Anna Herlihy, Guillaume Martres, Anastasia Ailamaki, Martin Odersky
2024Adaptive Truss Maximization on Large Graphs: A Minimum Cut Approach.
Zitan Sun, Xin Huang, Chengzhi Piao, Cheng Long, Jianliang Xu
2024Addressing the Nested Data Processing Gap: JSONiq Queries on Snowflake Through Snowpark.
Dan Graur, Remo Röthlisberger, Adrian Jenny, Ghislain Fourny, Filip Drozdowski, Choden Konigsmark, Ingo Müller, Gustavo Alonso
2024Alleviating the Inconsistency of Multimodal Data in Cross-Modal Retrieval.
Tieying Li, Xiaochun Yang, Yiping Ke, Bin Wang, Yinan Liu, Jiaxing Xu
2024Ambiguous Entity Oriented Targeted Document Detection.
Wei Shen, Haixu Went
2024An Effective, Efficient, and Stable Framework for Query Clustering.
Chang Lu, Liuqing Li, Donghyun Kim, Xinyue Wang, Rao Shen
2024An Efficient Algorithm for Continuous Complex Event Matching Using Bit-Parallelism.
Tao Qiu, Shenwang Jiang, Xiaochun Yang, Bin Wang, Chuanyu Zong, Rui Zhu
2024An Efficient Fuzzy Stream Clustering Method Based on Granular-Ball Structure.
Jiang Xie, Minggao Dai, Shuyin Xia, Jinajinz Zhang, Guoyin Wang, Xinbo Gao
2024An Experimental Survey of Missing Data Imputation Algorithms (Extended Abstract).
Xiaoye Miao, Yangyang Wu, Lu Chen, Yunjun Gao, Jianwei Yin
2024An Interactive Dive into Time-Series Anomaly Detection.
Paul Boniol, John Paparrizos, Themis Palpanas
2024An Investigation of SMOTE Based Methods for Imbalanced Datasets with Data Complexity Analysis (Extended Abstract).
Nur Athirah Azhar, Muhammad Syafiq Mohd Pozi, Aniza Mohamed Din, Adam Jatowt
2024AntDT: A Self-Adaptive Distributed Training Framework for Leader and Straggler Nodes.
Youshao Xiao, Lin Ju, Zhenglei Zhou, Siyuan Li, Zhaoxin Huan, Dalong Zhang, Rujie Jiang, Lin Wang, Xiaolu Zhang, Lei Liang, Jun Zhou
2024Applications and Challenges for Large Language Models: From Data Management Perspective.
Meihui Zhang, Zhaoxuan Ji, Zhaojing Luo, Yuncheng Wu, Chengliang Chai
2024Approximate Skyline Index for Constrained Shortest Pathfinding with Theoretical Guarantee.
Ziyi Liu, Lei Li, Mengxuan Zhang, Wen Hua, Xiaofang Zhou
2024Are ID Embeddings Necessary? Whitening Pre-trained Text Embeddings for Effective Sequential Recommendation.
Lingzi Zhang, Xin Zhou, Zhiwei Zeng, Zhiqi Shen
2024Are There Fundamental Limitations in Supporting Vector Data Management in Relational Databases? A Case Study of PostgreSQL.
Yunan Zhang, Shige Liu, Jianguo Wang
2024Attributed Network Embedding in Streaming Style.
Anbiao Wu, Ye Yuan, Changsheng Li, Yuliang Ma, Hao Zhang
2024Authenticated Keyword Search on Large-Scale Graphs in Hybrid-Storage Blockchains.
Siyu Li, Zhiwei Zhang, Jiang Xiao, Meihui Zhang, Ye Yuan, Guoren Wang
2024Authenticated Subgraph Matching in Hybrid-Storage Blockchains.
Siyu Li, Zhiwei Zhang, Meihui Zhang, Ye Yuan, Guoren Wang
2024AutoFeat: Transitive Feature Discovery over Join Paths.
Andra Ionescu, Kiril Vasilev, Florena Buse, Rihan Hai, Asterios Katsifodimos
2024AutoMC: Automated Model Compression Based on Domain Knowledge and Progressive Search.
Chunnan Wang, Hongzhi Wang, Xiangyu Shi
2024BClean: A Bayesian Data Cleaning System.
Jianbin Qin, Sifan Huang, Yaoshu Wang, Jing Zhu, Yifan Zhang, Yukai Miao, Rui Mao, Makoto Onizuka, Chuan Xiao
2024BIFROST: A Future Graph Database Runtime.
James Clarkson, Georgios Theodorakis, Jim Webber
2024BIM: Improving Graph Neural Networks with Balanced Influence Maximization.
Wentao Zhang, Xinyi Gao, Ling Yang, Meng Cao, Ping Huang, Jiulong Shan, Hongzhi Yin, Bin Cui
2024BOURNE: Bootstrapped Self-Supervised Learning Framework for Unified Graph Anomaly Detection.
Jie Liu, Mengting He, Xuequn Shang, Jieming Shi, Bin Cui, Hongzhi Yin
2024BSL: Understanding and Improving Softmax Loss for Recommendation.
Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Jizhi Zhang, Xiang Wang
2024BTS: Load-Balanced Distributed Union-Find for Finding Connected Components with Balanced Tree Structures.
Chaeeun Kim, Changhun Han, Ha-Myung Park
2024Batch Hop-Constrained s-t Simple Path Query Processing in Large Graphs.
Long Yuan, Kongzhang Hao, Xuemin Lin, Wenjie Zhang
2024Benchmarking Data Management Systems for Microservices.
Rodrigo Laigner, Yongluan Zhou
2024Benchtemp: A General Benchmark for Evaluating Temporal Graph Neural Networks.
Qiang Huang, Xin Wang, Susie Xi Rao, Zhichao Han, Zitao Zhang, Yongjun He, Quanqing Xu, Yang Zhao, Zhigao Zheng, Jiawei Jiang
2024Bipartite Graph Analytics: Current Techniques and Future Trends.
Hanchen Wang, Kai Wang, Wenjie Zhang, Ying Zhang
2024BitMatcher: Bit-level Counter Adjustment for Sketches.
Qilong Shi, Chengjun Jia, Wenjun Li, Zaoxing Liu, Tong Yang, Jianan Ji, Gaogang Xie, Weizhe Zhang, Minlan Yu
2024Boosting Meaningful Dependency Mining with Clustering and Covariance Analysis.
Xi Wang, Ruochun Jin, Wanrong Huang, Yuhua Tang
2024Boosting Write Performance of KV Stores: An NVM - Enabled Storage Collaboration Approach.
Yi Wang, Jiajian He, Kaoyi Sun, Yunhao Dong, Jiaxian Chen, Chenlin Ma, Amelie Chi Zhou, Rui Mao
2024Bottom-up k-Vertex Connected Component Enumeration by Multiple Expansion.
Haoyu Liu, Yongcai Wang, Xiaojia Xu, Deying Li
2024Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification.
Henan Sun, Xunkai Li, Zhengyu Wu, Daohan Su, Rong-Hua Li, Guoren Wang
2024BushStore: Efficient B+Tree Group Indexing for LSM-Tree in Non-Volatile Memory.
Zhenghao Wang, Lidan Shou, Ke Chen, Xuan Zhou
2024Butterfly Counting over Bipartite Graphs with Local Differential Privacy.
Yizhang He, Kai Wang, Wenjie Zhang, Xuemin Lin, Wei Ni, Ying Zhang
2024Bw
Rui Wang, Xinjun Yang, Feifei Li, David B. Lomet, Xin Liu, Panfeng Zhou, Yongxiang Chen, David Zhang, Jingren Zhou, Jiesheng Wu
2024CAGRA: Highly Parallel Graph Construction and Approximate Nearest Neighbor Search for GPUs.
Hiroyuki Ootomo, Akira Naruse, Corey Nolet, Ray Wang, Tamas Feher, Yong Wang
2024CAMO: Explaining Consensus Across MOdels.
Andy Yu, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta
2024CARGO: Crypto-Assisted Differentially Private Triangle Counting Without Trusted Servers.
Shang Liu, Yang Cao, Takao Murakami, Jinfei Liu, Masatoshi Yoshikawa
2024CINA: Curvature-Based Integrated Network Alignment with Hypergraph.
Pengfei Jiao, Yuanqi Liu, Yinghui Wang, Ge Zhang
2024CLIMBER: Pivot-Based Approximate Similarity Search Over Big Data Series.
Liang Zhang, Mohamed Y. Eltabakh, Elke A. Rundensteiner, Khalid Alnuaim
2024COUPLE: Orchestrating Video Analytics on Heterogeneous Mobile Processors.
Hao Bao, Zhi Zhou, Fei Xu, Xu Chen
2024CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks.
Yuanchen Bei, Hao Xu, Sheng Zhou, Huixuan Chi, Haishuai Wang, Mengdi Zhang, Zhao Li, Jiajun Bu
2024CSM-TopK: Continuous Subgraph Matching with TopK Density Constraints.
chuchu Gao, Youhuan Li, Zhibang Yang, Xu Zhou
2024CUBE: Causal Intervention-based Counterfactual Explanation for Prediction Models (Extended Abstract).
Xinyue Shao, Hongzhi Wang, Xiang Chen, Xiao Zhu, Yan Zhang
2024Cascade: Optimal Transaction Scheduling for High-Contention Workloads.
Tim Baccaert, Bas Ketsman
2024CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection.
Wenbin Li, Di Yao, Chang Gong, Xiaokai Chu, Quanliang Jing, Xiaolei Zhou, Yuxuan Zhang, Yunxia Fan, Jingping Bi
2024Chameleon: Towards Update-Efficient Learned Indexing for Locally Skewed Data.
Na Guo, Yaqi Wang, Wenli Sun, Yu Gu, Jianzhong Qi, Zhenghao Liu, Xiufeng Xia, Ge Yu
2024Chat2Query: A Zero-Shot Automatic Exploratory Data Analysis System with Large Language Models.
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
2024ChatGraph: Chat with Your Graphs.
Yun Peng, Sen Lin, Qian Chen, Shaowei Wang, Lyu Xu, Xiaojun Ren, Yafei Li, Jianliang Xu
2024CheckMate: Evaluating Checkpointing Protocols for Streaming Dataflows.
George Siachamis, Kyriakos Psarakis, Marios Fragkoulis, Arie van Deursen, Paris Carbone, Asterios Katsifodimos
2024CleanEr: Interactive, Query-Guided Error Mitigation for Data Cleaning Systems.
Ran Schreiber, Yael Amsterdamer
2024Clients Help Clients: Alternating Collaboration for Semi-Supervised Federated Learning.
Zhida Jiang, Yang Xu, Hongli Xu, Zhiyuan Wang, Chunming Qiao
2024CoachLM: Automatic Instruction Revisions Improve the Data Quality in LLM Instruction Tuning.
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
2024CodingSketch: A Hierarchical Sketch with Efficient Encoding and Recursive Decoding.
Qizhi Chen, Yisen Hong, Yuhan Wu, Tong Yang, Bin Cui
2024Collectively Simplifying Trajectories in a Database: A Query Accuracy Driven Approach.
Zheng Wang, Cheng Long, Gao Cong, Christian S. Jensen
2024Comparing Personalized Relevance Algorithms for Directed Graphs.
Luca Cavalcanti, Cristian Consonni, Martin Brugnara, David Laniado, Alberto Montresor
2024Complex Event Summarization Using Multi-Social Attribute Correlation (Extended Abstract).
Xi Chen, Xiangmin Zhou, Jeffrey Chan, Lei Chen, Timos Sellis, Yanchun Zhang
2024Compression and In-Situ Query Processing for Fine-Grained Array Lineage.
Jinjin Zhao, Sanjay Krishnan
2024Computing All Restricted Skyline Probabilities on Uncertain Datasets.
Xiangyu Gao, Jianzhong Li, Dongjing Miao
2024Congestion-Mitigating Spatiotemporal Routing in Road Networks.
Libin Wang, Raymond Chi-Wing Wong, Christian S. Jensen
2024Construction and Enhancement of an RNA-Based Knowledge Graph for Discovering New RNA Drugs.
Emanuele Cavalleri, Marco Mesiti
2024Contact Tracing over Uncertain Indoor Positioning Data (Extended Abstract).
Tiantian Liu, Huan Li, Hua Lu, Muhammad Aamir Cheema, Harry Kai-Ho Chan
2024Contrastive Graph Representations for Logical Formulas Embedding (Extended Abstract).
Qika Lin, Jun Liu, Lingling Zhang, Yudai Pan, Xin Hu, Fangzhi Xu, Hongwei Zeng
2024Contrastive Learning for Fraud Detection from Noisy Labels.
Vinay M. S., Shuhan Yuan, Xintao Wu
2024Cooperative Air-Ground Instant Delivery by UAVs and Crowdsourced Taxis.
Junhui Gao, Qianru Wang, Xin Zhang, Juan Shi, Xiang Zhao, Qingye Han, Yan Pan
2024Cooperative Global Path Planning for Multiple Platforms.
Xiaoxi Cui, Yurong Cheng, Siyi Zhang, Ye Yuan, Guoren Wang
2024Corruption Robust Dynamic Pricing in Liner Shipping under Capacity Constraint.
Yongyi Hu, Xueyan Li, Xikai Wei, Yangguang Shi, Xiaofeng Gao, Guihai Chen
2024Cost-Effective In-Context Learning for Entity Resolution: A Design Space Exploration.
Meihao Fan, Xiaoyue Han, Ju Fan, Chengliang Chai, Nan Tang, Guoliang Li, Xiaoyong Du
2024Costream: Learned Cost Models for Operator Placement in Edge-Cloud Environments.
Roman Heinrich, Carsten Binnig, Harald Kornmayer, Manisha Luthra
2024Couler: Unified Machine Learning Workflow Optimization in Cloud.
Xiaoda Wang, Yuan Tang, Tengda Guo, Bo Sang, Jiewei Wu, Jian Sha, Ke Zhang, Jiang Qian, Mingjie Tang
2024Counting Butterflies in Fully Dynamic Bipartite Graph Streams.
Serafeim Papadias, Zoi Kaoudi, Varun Pandey, Jorge-Arnulfo Quiané-Ruiz, Volker Markl
2024Cross Online Assignment of Hybrid Task in Spatial Crowdsourcing.
Zhao Liu, Guoqing Xiao, Xu Zhou, Yunchuan Qin, Yunjun Gao, Kenli Li
2024Cross Online Ride-Sharing for Multiple-Platform Cooperations in Spatial Crowdsourcing.
Yurong Cheng, Zhaohe Liao, Xiaosong Huang, Yi Yang, Xiangmin Zhou, Ye Yuan, Guoren Wang
2024Cross-Domain-Aware Worker Selection with Training for Crowdsourced Annotation.
Yushi Sun, Jiachuan Wang, Peng Cheng, Libin Zheng, Lei Chen, Jian Yin
2024Cross-Insight Trader: A Trading Approach Integrating Policies with Diverse Investment Horizons for Portfolio Management.
Zetao Zheng, Jie Shao, Shilong Deng, Anjie Zhu, Heng Tao Shen, Xiaofang Zhou
2024Cross-Source ML Model Training.
Wenbo Sun, Rihan Hai
2024DACE: A Database-Agnostic Cost Estimator.
Zibo Liang, Xu Chen, Yuyang Xia, Runfan Ye, Haitian Chen, Jiandong Xie, Kai Zheng
2024DATALORE: Can a Large Language Model Find All Lost Scrolls in a Data Repository?
Yuze Lou, Chuan Lei, Xiao Qin, Zichen Wang, Christos Faloutsos, Rishita Anubhai, Huzefa Rangwala
2024DISCO: A Dynamically Configurable Sketch Framework in Skewed Data Streams.
Jiaqian Liu, Ran Ben Basat, Louis De Wardt, Haipeng Dai, Guihai Chen
2024DKWS: A Distributed System for Keyword Search on Massive Graphs (Extended Abstract).
Jiaxin Jiang, Byron Choi, Xin Huang, Jianliang Xu, Sourav S. Bhowmick
2024DMRNet: Effective Network for Accurate Discharge Medication Recommendation.
Jiyun Shi, Yuqiao Wang, Chi Zhang, Zhaojing Luo, Chengliang Chai, Meihui Zhang
2024DROPP: Structure-Aware PCA for Ordered Data: A General Method and its Applications in Climate Research and Molecular Dynamics.
Anna Beer, Olivér Palotás, Andrea Maldonado, Andrew Draganov, Ira Assent
2024Data Flow Architectures for Data Processing on Modern Hardware.
Alberto Lerner, Gustavo Alonso
2024Data Lakes: A Survey of Functions and Systems (Extended abstract).
Rihan Hai, Christos Koutras, Christoph Quix, Matthias Jarke
2024Data Level Privacy Preserving: A Stochastic Perturbation Approach Based on Differential Privacy (Extended abstract).
Chuan Ma, Long Yuan, Li Han, Ming Ding, Raghav Bhaskar, Jun Li
2024Deep Dirichlet Process Mixture Model for Non-parametric Trajectory Clustering.
Di Yao, Jin Wang, Wenjie Chen, Fangda Guo, Peng Han, Jingping Bi
2024Deep Learning with Spatiotemporal Data: A Deep Dive into GeotorchAI.
Kanchan Chowdhury, Mohamed Sarwat
2024DeepMapping: Learned Data Mapping for Lossless Compression and Efficient Lookup.
Lixi Zhou, K. Selçuk Candan, Jia Zou
2024Demonstration of FeVisQA: Free-Form Question Answering over Data Visualization.
Yuanfeng Song, Jinwei Lu, Xuefang Zhao, Raymond Chi-Wing Wong, Haodi Zhang
2024Denoising High-Order Graph Clustering.
Yonghao Chen, Ruibing Chen, Qiaoyun Li, Xiaozhao Fang, Jiaxing Li, Wai Keung Wong
2024Differentiable and Scalable Generative Adversarial Models for Data Imputation (Extended Abstract).
Yangyang Wu, Jun Wang, Xiaoye Miao, Wenjia Wang, Jianwei Yin
2024Differential Analysis for System Provenance.
Yuta Nakamura, Tanu Malik
2024Differentially Private Graph Neural Networks for Link Prediction.
Xun Ran, Qingqing Ye, Haibo Hu, Xin Huang, Jianliang Xu, Jie Fu
2024DiscoGNN: A Sample-Efficient Framework for Self-Supervised Graph Representation Learning.
Jun Xia, Shaorong Chen, Yue Liu, Zhangyang Gao, Jiangbin Zheng, Xihong Yang, Stan Z. Li
2024Discovering Denial Constraints in Dynamic Datasets.
Eduardo H. M. Pena, Fábio Porto, Felix Naumann
2024Discovering Personalized Characteristic Communities in Attributed Graphs.
Yudong Niu, Yuchen Li, Panagiotis Karras, Yanhao Wang, Zhao Li
2024Distilled Neural Networks for Efficient Learning to Rank: (Extended Abstract).
Franco Maria Nardini, Cosimo Rulli, Salvatore Trani, Rossano Venturini
2024DmRPC: Disaggregated Memory-aware Datacenter RPC for Data-intensive Applications.
Jie Zhang, Xuzheng Chen, Yin Zhang, Zeke Wang
2024Dual-Teacher De-Biasing Distillation Framework for Multi-Domain Fake News Detection.
Jiayang Li, Xuan Feng, Tianlong Gu, Liang Chang
2024Duet: Efficient and Scalable Hybrid Neural Relation Understanding.
Kaixin Zhang, Hongzhi Wang, Yabin Lu, Ziqi Li, Chang Shu, Yu Yan, Donghua Yang
2024Dynamic Data Layout Optimization with Worst-Case Guarantees.
Kexin Rong, Paul Liu, Sarah Ashok Sonje, Moses Charikar
2024E
Haoyang Li, Shimin Di, Lei Chen, Xiaofang Zhou
2024EADS: An Early Anomaly Detection System for Sensor-Based Multivariate Time Series.
Yihao Ang, Qiang Huang, Anthony K. H. Tung, Zhiyong Huang
2024Effective Data Selection and Replay for Unsupervised Continual Learning.
Hanmo Liu, Shimin Di, Haoyang Li, Shuangyin Li, Lei Chen, Xiaofang Zhou
2024Effective Entry-Wise Flow for Molecule Generation.
Qifan Zhang, Junjie Yao, Yuquan Yang, Yizhou Shi, Wei Gao, Xiaoling Wang
2024Efficient Approximate Maximum Inner Product Search Over Sparse Vectors.
Xi Zhao, Zhonghan Chen, Kai Huang, Ruiyuan Zhang, Bolong Zheng, Xiaofang Zhou
2024Efficient Community Search in Edge-Attributed Graphs (Extended Abstract).
Ling Li, Yuhai Zhao, Siqiang Luo, Guoren Wang, Zhengkui Wang
2024Efficient Core Decomposition Over Large Heterogeneous Information Networks.
Yucan Guo, Chenhao Ma, Yixiang Fang
2024Efficient Cross-layer Community Search in Large Multilayer Graphs.
Longxu Sun, Xin Huang, Zheng Wu, Jianliang Xu
2024Efficient Discovery of Functional Dependencies on Massive Data (Extended Abstract).
Xiaolong Wan, Xixian Han, Jinbao Wang, Jianzhong Li
2024Efficient Example-Guided Interactive Graph Search.
Zhuowei Zhao, Junhao Gan, Jianzhong Qi, Zhifeng Bao
2024Efficient Fault Tolerance for Pipelined Query Engines via Write-ahead Lineage.
Ziheng Wang, Alex Aiken
2024Efficient Learning-based Top-k Representative Similar Subtrajectory Query.
Kunming Wang, Shiyu Yang, Jiabao Jin, Peng Cheng, Jianye Yang, Xuemin Lin
2024Efficient Maximal Temporal Plex Enumeration.
Yanping Wu, Renjie Sun, Xiaoyang Wang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin
2024Efficient Multi-Query Oriented Continuous Subgraph Matching.
Ziyi Ma, Jianye Yang, Xu Zhou, Guoqing Xiao, Jianhua Wang, Liang Yang, Kenli Li, Xuemin Lin
2024Efficient Partial Order Based Transaction Processing for Permissioned Blockchains.
Shuai Zhao, Zhiwei Zhang, Junkai Wang, Ye Yuan, Meihui Zhang, Guoren Wang, Jiang Xiao
2024Efficient Relaxed Functional Dependency Discovery with Minimal Set Cover.
Xiaoou Ding, Yida Liu, Hongzhi Wang, Chen Wang, Yichen Song, Donghua Yang, Jianmin Wang
2024Efficient Reverse k Approximate Nearest Neighbor Search Over High-Dimensional Vectors.
Yitong Song, Kai Wang, Bin Yao, Zhida Chen, Jiong Xie, Feifei Li
2024Efficient Semi-External SCC Computation (Extended Abstract).
Xiaolong Wan, Hongzhi Wang
2024Efficient Set-Based Order Dependency Discovery with a Level-Wise Hybrid Strategy.
Yihan Li, Ruifeng Li, Zijing Tan, Weidong Yang, Shuai Ma
2024Efficiently Estimating Mutual Information Between Attributes Across Tables.
Aécio S. R. Santos, Flip Korn, Juliana Freire
2024Enabling Efficient NVM-Based Text Analytics without Decompression.
Xiaokun Fang, Feng Zhang, Junxiang Nong, Mingxing Zhang, Puyun Hu, Yunpeng Chai, Xiaoyong Du
2024Enabling Efficient, Verifiable, and Secure Conjunctive Keyword Search in Hybrid-Storage Blockchains.
Ningning Cui, Dong Wang, Jianxin Li, Huaijie Zhu, Xiaochun Yang, Jianliang Xu, Jie Cui, Hong Zhong
2024Enabling Roll-Up and Drill-Down Operations in News Exploration with Knowledge Graphs for Due Diligence and Risk Management.
Sha Wang, Yuchen Li, Hanhua Xiao, Zhifeng Bao, Lambert Deng, Yanfei Dong
2024Enhancing Data Systems Performance by Exploiting SSD Concurrency & Asymmetry.
Tarikul Islam Papon
2024Enhancing LSM-Tree Key-Value Stores for Read-Modify-Writes via Key-Delta Separation.
Jinhong Li, Yanjing Ren, Shujie Han, Patrick P. C. Lee
2024Enhancing Quantitative Reasoning Skills of Large Language Models through Dimension Perception.
Yuncheng Huang, Qianyu He, Jiaqing Liang, Sihang Jiang, Yanghua Xiao, Yunwen Chen
2024Enhancing Topic Interpretability for Neural Topic Modeling Through Topic-Wise Contrastive Learning.
Xin Gao, Yang Lin, Ruiqing Li, Yasha Wang, Xu Chu, Xinyu Ma, Hailong Yu
2024Enhancing the Performance of Bandit-based Hyperparameter Optimization.
Yile Chen, Zeyi Wen, Jian Chen, Jin Huang
2024Enhancing the Rationale-Input Alignment for Self-explaining Rationalization.
Wei Liu, Haozhao Wang, Jun Wang, Zhiying Deng, Yuankai Zhang, Cheng Wang, Ruixuan Li
2024Entity/Relationship Profiling.
Henning Koehler, Sebastian Link
2024Etude - Evaluating the Inference Latency of Session-Based Recommendation Models at Scale.
Barrie Kersbergen, Olivier Sprangers, Frank Kootte, Shubha Guha, Maarten de Rijke, Sebastian Schelter
2024Evaluating Text-to-SQL Model Failures on Real-World Data.
Manasi Ganti, Laurel J. Orr, Sen Wu
2024Everything Everyway All at Once - Time Traveling Debugging for Stream Processing Applications.
Timo Räth, Marius Schlegel, Kai-Uwe Sattler
2024Explainable Database Management System Configuration Tuning through Counterfactuals.
Xinyue Shao, Hongzhi Wang, Xiao Zhu, Tianyu Mu, Yan Zhang
2024Explainable Disparity Compensation for Efficient Fair Ranking.
Abraham Gale, Amélie Marian
2024Explaining Entity Matching with Clusters of Words.
Riccardo Benassi, Francesco Guerra, Matteo Paganelli, Donato Tiano
2024Explaining Expert Search Systems with ExES.
Kiarash Golzadeh, Lukasz Golab, Jaroslaw Szlichta
2024Exploiting Persistent CPU Cache for Scalable Persistent Hash Index.
Bowen Zhang, Shengan Zheng, Liangxu Nie, Zhenlin Qi, Linpeng Huang, Hong Mei
2024Exploring Optimal Parameters for Expected Results on Radius-Bounded k-Core Queries.
Chuanyu Zong, Zefang Dong, Xiaochun Yang, Bin Wang, Huaijie Zhu, Tao Qiu, Rui Zhu
2024Exploring the Space of Model Comparisons.
Andy Yu, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta
2024F-TADOC: FPGA-Based Text Analytics Directly on Compression with HLS.
Yanliang Zhou, Feng Zhang, Tuo Lin, Yuanjie Huang, Saiqin Long, Jidong Zhai, Xiaoyong Du
2024FC: Adaptive Atomic Commit via Failure Detection.
Hexiang Pan, Quang-Trung Ta, Meihui Zhang, Zhanhao Zhao, Yeow Meng Chee, Gang Chen, Beng Chin Ooi
2024FONT: A Flexible Polystore Evaluation Platform.
Gengyuan Shi, Chaokun Wang, Minghao Zhang, Binbin Wang
2024FOSS: A Self-Learned Doctor for Query Optimizer.
Kai Zhong, Luming Sun, Tao Ji, Cuiping Li, Hong Chen
2024FRESH: Towards Efficient Graph Queries in an Outsourced Graph.
Kai Huang, Yunqi Li, Qingqing Ye, Yao Tian, Xi Zhao, Yue Cui, Haibo Hu, Xiaofang Zhou
2024FSD-Inference: Fully Serverless Distributed Inference with Scalable Cloud Communication.
Joe Oakley, Hakan Ferhatosmanoglu
2024FSM-Explorer: An Interactive Tool for Frequent Subgraph Pattern Mining From a Big Graph.
Jalal Khalil, Da Yan, Lyuheng Yuan, Jiao Han, Saugat Adhikari, Cheng Long, Yang Zhou
2024FUDJ: Flexible User-Defined Distributed Joins.
Akil Sevim, Ahmed Eldawy, E. Preston Carman, Michael J. Carey, Vassilis J. Tsotras
2024Fair Top-k Query on Alpha-Fairness.
Hao Liu, Raymond Chi-Wing Wong, Zheng Zhang, Min Xie, Bo Tang
2024FairCR - An Evaluation and Recommendation System for Fair Classification Algorithms.
Nico Lässig, Melanie Herschel, Ole Nies
2024Fairgen: Towards Fair Graph Generation.
Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He
2024Fairness-Aware Data Preparation for Entity Matching.
Nima Shahbazi, Jin Wang, Zhengjie Miao, Nikita Bhutani
2024Fast Iterative Graph Computing with Updated Neighbor States.
Yijie Zhou, Shufeng Gong, Feng Yao, Hanzhang Chen, Song Yu, Pengxi Liu, Yanfeng Zhang, Ge Yu, Jeffrey Xu Yu
2024Fast Multilayer Core Decomposition and Indexing.
Dandan Liu, Run-An Wang, Zhaonian Zou, Xin Huang
2024Fast Parallel Recovery for Transactional Stream Processing on Multicores.
Jianjun Zhao, Haikun Liu, Shuhao Zhang, Zhuohui Duan, Xiaofei Liao, Hai Jin, Yu Zhang
2024Fast Query Answering by Labeling Index on Uncertain Graphs.
Zeyu Wang, Qihao Shi, Jiawei Chen, Can Wang, Mingli Song, Xinyu Wang
2024Fast, Robust and Interpretable Participant Contribution Estimation for Federated Learning.
Yong Wang, Kaiyu Li, Yuyu Luo, Guoliang Li, Yunyan Guo, Zhuo Wang
2024Faster Depth-First Subgraph Matching on GPUs.
Lyuheng Yuan, Da Yan, Jiao Han, Akhlaque Ahmad, Yang Zhou, Zhe Jiang
2024FeatAug: Automatic Feature Augmentation From One-to-Many Relationship Tables.
Danrui Qi, Weiling Zheng, Jiannan Wang
2024FedCTQ: A Federated-Based Framework for Accurate and Efficient Contact Tracing Query.
Zhihao Zeng, Ziquan Fang, Lu Chen, Yunjun Gao, Kai Zheng, Gang Chen
2024FedCross: Towards Accurate Federated Learning via Multi-Model Cross-Aggregation.
Ming Hu, Peiheng Zhou, Zhihao Yue, Zhiwei Ling, Yihao Huang, Anran Li, Yang Liu, Xiang Lian, Mingsong Chen
2024FedMix: Boosting with Data Mixture for Vertical Federated Learning.
Yihang Cheng, Lan Zhang, Junyang Wang, Xiaokai Chu, Dongbo Huang, Lan Xu
2024Feed: Towards Personalization-Effective Federated Learning.
Pengpeng Qiao, Kangfei Zhao, Bei Bi, Zhiwei Zhang, Ye Yuan, Guoren Wang
2024FieldSwap: Data Augmentation for Effective Form-Like Document Extraction.
Jing Xie, James B. Wendt, Yichao Zhou, Seth Ebner, Sandeep Tata
2024Finding the Maximum k- Balanced Biclique on Weighted Bipartite Graphs (Extended abstract).
Yiwei Zhao, Zi Chen, Chen Chen, Xiaoyang Wang, Xuemin Lin, Wenjie Zhang
2024Fine-Grained Anomaly Detection on Dynamic Graphs via Attention Alignment.
Dong Chen, Xiang Zhao, Weidong Xiao
2024Firzen: Firing Strict Cold-Start Items with Frozen Heterogeneous and Homogeneous Graphs for Recommendation.
Hulingxiao He, Xiangteng He, Yuxin Peng, Zifei Shan, Xin Su
2024FocusCore Decomposition of Multilayer Graphs.
Run-An Wang, Dandan Liu, Zhaonian Zou
2024FreqyWM: Frequency Watermarking for the New Data Economy.
Devris Isler, Elisa Cabana, Álvaro García-Recuero, Georgia Koutrika, Nikolaos Laoutaris
2024From Chaos to Clarity: Time Series Anomaly Detection in Astronomical Observations.
Xinli Hao, Yile Chen, Chen Yang, Zhihui Du, Chaohong Ma, Chao Wu, Xiaofeng Meng
2024From Motif to Path: Connectivity and Homophily.
Qihao Wang, Hongtai Cao, Xiaodong Li, Kevin Chen-Chuan Chang, Reynold Cheng
2024Functionality-Aware Database Tuning via Multi-Task Learning.
Zhongwei Yue, Shujian Peng, Peng Cai, Xuan Zhou, Huiqi Hu, Rong Zhang, Quanqing Xu, Chuanhui Yang
2024G
Lyuheng Yuan, Akhlaque Ahmad, Da Yan, Jiao Han, Saugat Adhikari, Xiaodong Yu, Yang Zhou
2024GA-Tag: Data Enrichment with an Automatic Tagging System Utilizing Large Language Models.
Genki Kusano
2024GAGE: Genetic Algorithm-Based Graph Explainer for Malware Analysis.
Mohd Saqib, Benjamin C. M. Fung, Philippe Charland, Andrew Walenstein
2024GLO: Towards Generalized Learned Query Optimization.
Tianyi Chen, Jun Gao, Yaofeng Tu, Mo Xu
2024GPU-Accelerated Batch-Dynamic Subgraph Matching.
Linshan Qiu, Lu Chen, Hailiang Jie, Xiangyu Ke, Yunjun Gao, Yang Liu, Zetao Zhang
2024GPU-Based Efficient Parallel Heuristic Algorithm for High-Utility Itemset Mining in Large Transaction Datasets (Extended Abstract).
Wei Fang, Haipeng Jiang, Hengyang Lu, Jun Sun, Xiaojun Wu, Jerry Chun-Wei Lin
2024GShop: Towards Flexible Pricing for Graph Statistics.
Chen Chen, Ye Yuan, Zhenyu Wen, Yu-Ping Wang, Guoren Wang
2024GaussDB-Global: A Geographically Distributed Database System.
Puya Memarzia, Huaxin Zhang, Kelvin Ho, Ronen Grosman, Jiang Wang
2024GaussML: An End-to-End In-Database Machine Learning System.
Guoliang Li, Ji Sun, Lijie Xu, Shifu Li, Jiang Wang, Wen Nie
2024Gen-T: Table Reclamation in Data Lakes.
Grace Fan, Roee Shraga, Renée J. Miller
2024Generating Explanations to Understand and Repair Embedding-Based Entity Alignment.
Xiaobin Tian, Zequn Sun, Wei Hu
2024Generating Robust Counterfactual Witnesses for Graph Neural Networks.
Dazhuo Qiu, Mengying Wang, Arijit Khan, Yinghui Wu
2024Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning.
Yuxiang Wang, Xiao Yan, Chuang Hu, Quanqing Xu, Chuanhui Yang, Fangcheng Fu, Wentao Zhang, Hao Wang, Bo Du, Jiawei Jiang
2024GradGCL: Gradient Graph Contrastive Learning.
Ran Li, Shimin Di, Lei Chen, Xiaofang Zhou
2024Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach.
Xing Ai, Jialong Zhou, Yulin Zhu, Gaolei Li, Tomasz P. Michalak, Xiapu Luo, Kai Zhou
2024Graph Anomaly Detection with Domain-Agnostic Pre-Training and Few-Shot Adaptation.
Xujia Li, Lei Chen
2024Graph Augmentation for Recommendation.
Qianru Zhang, Lianghao Xia, Xuheng Cai, Siu-Ming Yiu, Chao Huang, Christian S. Jensen
2024Graph Computation with Adaptive Granularity.
Ruiqi Xu, Yue Wang, Xiaokui Xiao
2024Graph Condensation for Inductive Node Representation Learning.
Xinyi Gao, Tong Chen, Yilong Zang, Wentao Zhang, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin
2024Graph Contrastive Learning for Truth Inference.
Hao Liu, Jiacheng Liu, Feilong Tang, Peng Li, Long Chen, Jiadi Yu, Yanmin Zhu, Min Gao, Yanqin Yang, Xiaofeng Hou
2024GraphHI: Boosting Graph Neural Networks for Large-Scale Graphs.
Hao Feng, Chaokun Wang, Ziyang Liu, Yunkai Lou, Zhenyu Liu, Xiaokun Zhu, Yongjun Bao, Weipeng Yan
2024GraphLingo: Domain Knowledge Exploration by Synchronizing Knowledge Graphs and Large Language Models.
Duy Le, Kris Zhao, Mengying Wang, Yinghui Wu
2024GraphRARE: Reinforcement Learning Enhanced Graph Neural Network with Relative Entropy.
Tianhao Peng, Wenjun Wu, Haitao Yuan, Zhifeng Bao, Zhao Pengrui, Xin Yu, Xuetao Lin, Yu Liang, Yanjun Pu
2024Graphix: "One User's JSON is Another User's Graph".
Glenn Galvizo, Michael J. Carey
2024Guided SQL-Based Data Exploration with User Feedback.
Antonis Mandamadiotis, Georgia Koutrika, Sihem Amer-Yahia
2024HGAMLP: Heterogeneous Graph Attention MLP with De-Redundancy Mechanism.
Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Jiawei Jiang, Yunhai Tong, Bin Cui
2024HIT: Solving Partial Index Tracking via Hierarchical Reinforcement Learning.
Zetao Zheng, Jie Shao, Feiyu Chen, Anjie Zhu, Shilong Deng, Heng Tao Shen
2024HITSnDIFFs: From Truth Discovery to Ability Discovery by Recovering Matrices with the Consecutive Ones Property.
Zixuan Chen, Subhodeep Mitra, R. Ravi, Wolfgang Gatterbauer
2024HJG: An Effective Hierarchical Joint Graph for ANNS in Multi-Metric Spaces.
Yifan Zhu, Lu Chen, Yunjun Gao, Ruiyao Ma, Baihua Zheng, Jingwen Zhao
2024HYPPO: Using Equivalences to Optimize Pipelines in Exploratory Machine Learning.
Antonios Kontaxakis, Dimitris Sacharidis, Alkis Simitsis, Alberto Abelló, Sergi Nadal
2024HeteFedRec: Federated Recommender Systems with Model Heterogeneity.
Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin
2024Hide Your Model: A Parameter Transmission-free Federated Recommender System.
Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin
2024Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning (Extended Abstract).
Ning Liu, Songlei Jian, Dongsheng Li, Yiming Zhang, Zhiquan Lai, Hongzuo Xu
2024Higher-Order SQL Lambda Functions.
Maximilian E. Schüle, Jakob Hornung
2024Higher-Order Truss Decomposition in Graphs (Extended Abstract).
Zi Chen, Long Yuan, Li Han, Zhengping Qian
2024Hill-Cache: Adaptive Integration of Recency and Frequency in Caching with Hill-Climbing.
Yunfan Li, Huiqi Hu, Chaojing Lei, Xuan Zhou, Weining Qian
2024Hybrid Evaluation for Occlusion-based Explanations on CNN Inference Queries.
Guangyao Ding, Chen Xu, Weining Qian
2024Hybrid Regret Minimization: A Submodular Approach (Extended Abstract).
Jiping Zheng, Fanxu Meng, Yanhao Wang, Xiaoyang Wang, Sheng Wang, Yuan Ma, Zhiyang Hao
2024I/O Efficient Max-Truss Computation in Large Static and Dynamic Graphs.
Jiaqi Jiang, Qi Zhang, Rong-Hua Li, Qiangqiang Dai, Guoren Wang
2024IVE: Accelerating Enumeration-Based Subgraph Matching via Exploring Isolated Vertices.
Zite Jiang, Shuai Zhang, Xingzhong Hou, Mengting Yuan, Haihang You
2024Improve ROI with Causal Learning and Conformal Prediction.
Meng Ai, Zhuo Chen, Jibin Wang, Jing Shang, Tao Tao, Zhen Li
2024Improving the Relationship Between B
Wei Yan, Xingjun Zhang
2024In Situ Neural Relational Schema Matcher.
Xingyu Du, Gongsheng Yuan, Sai Wu, Gang Chen, Peng Lu
2024Incorporating Dynamic Temperature Estimation into Contrastive Learning on Graphs.
Ziyang Liu, Chaokun Wang, Liqun Yang, Yunkai Lou, Hao Feng, Cheng Wu, Kai Zheng, Yang Song
2024Incremental Fusion: Unifying Compiled and Vectorized Query Execution.
Benjamin Wagner, André Kohn, Peter Boncz, Viktor Leis
2024Incremental Graph Computation: Anchored Vertex Tracking in Dynamic Social Networks (Extended Abstract).
Taotao Cai, Shuiqiao Yang, Jianxin Li, Quan Z. Sheng, Jian Yang, Xin Wang, Wei Emma Zhang, Longxiang Gao
2024IndeXY: A Framework for Constructing Indexes Larger than Memory.
Chen Zhong, Qingqing Zhou, Yuxing Chen, Xingsheng Zhao, Kuang He, Anqun Pan, Song Jiang
2024Independent Range Sampling on Interval Data.
Daichi Amagata
2024Inductive Link Prediction for Sequential-emerging Knowledge Graph.
Yufeng Zhang, Wei Chen, Xi Chen, Qingzhi Ma, Lei Zhao
2024Interactive Trimming Against Evasive Online Data Manipulation Attacks: A Game-Theoretic Approach.
Yue Fu, Qingqing Ye, Rong Du, Haibo Hu
2024Interpretable Knowledge Tracing via Response Influence-based Counterfactual Reasoning.
Jiajun Cui, Minghe Yu, Bo Jiang, Aimin Zhou, Jianyong Wang, Wei Zhang
2024Joint Directory, File and IO Trace Feature Extraction and Feature-based Trace Regeneration for Enterprise Storage Systems.
Kecheng Huang, Xijun Li, Mingxuan Yuan, Ji Zhang, Zili Shao
2024Joint Mobile Edge Caching and Pricing: A Mean-Field Game Approach.
Yin Xu, Xichong Zhang, Mingjun Xiao, Jie Wu, An Liu, Sheng Zhang
2024KGLiDS: A Platform for Semantic Abstraction, Linking, and Automation of Data Science.
Mossad Helali, Niki Monjazeb, Shubham Vashisth, Philippe Carrier, Ahmed Helal, Antonio Cavalcante, Khaled Ammar, Katja Hose, Essam Mansour
2024KGLink: A Column Type Annotation Method that Combines Knowledge Graph and Pre-Trained Language Model.
Yubo Wang, Hao Xin, Lei Chen
2024KGSEC: A Modular Framework for Knowledge Graph Schema Extraction and Comparison.
Petros Skoufis, Dimitrios Skoutas
2024KartGPS: Knowledge Base Update with Temporal Graph Pattern-based Semantic Rules.
Hao Xin, Lei Chen
2024Knowledge Graph Enhanced Multimodal Transformer for Image-Text Retrieval.
Juncheng Zheng, MeiYu Liang, Yang Yu, Yawen Li, Zhe Xue
2024Knowledge-Enhanced Recommendation with User-Centric Subgraph Network.
Guangyi Liu, Quanming Yao, Yongqi Zhang, Lei Chen
2024Kondo: Efficient Provenance-Driven Data Debloating.
Aniket Modi, Rohan Tikmany, Tanu Malik, Raghavan Komondoor, Ashish Gehani, Deepak D'Souza
2024LBSC: A Cost-Aware Caching Framework for Cloud Databases.
Zhaoxuan Ji, Zhongle Xie, Yuncheng Wu, Meihui Zhang
2024LDPRecover: Recovering Frequencies from Poisoning Attacks Against Local Differential Privacy.
Xinyue Sun, Qingqing Ye, Haibo Hu, Jiawei Duan, Tianyu Wo, Jie Xu, Renyu Yang
2024LT
Xiaokai Chu, Changying Hao, Shuaiqiang Wang, Dawei Yin, Jiashu Zhao, Lixin Zou, Chenliang Li
2024LTPG: Large-Batch Transaction Processing on GPUs with Deterministic Concurrency Control.
Jianpeng Wei, Yu Gu, Tianyi Li, Jianzhong Qi, Chuanwen Li, Yanfeng Zhang, Christian S. Jensen, Ge Yu
2024Label Constrained Reachability Queries on Time Dependent Graphs.
Yishu Wang, Jinlong Chu, Ye Yuan, Yu Gu, Hangxu Ji, Hao Zhang
2024Label Noise Correction for Federated Learning: A Secure, Efficient and Reliable Realization.
Haodi Wang, Tangyu Jiang, Yu Guo, Fangda Guo, Rongfang Bie, Xiaohua Jia
2024LakeHarbor: Making Structures First-Class Citizens in Data Lakes.
Hiroyuki Yamada, Masaru Kitsuregawa, Kazuo Goda
2024Large Language Models as Storage for SQL Querying.
Paolo Papotti
2024Large Language Models: Principles and Practice.
Immanuel Trummer
2024Large Subgraph Matching: A Comprehensive and Efficient Approach for Heterogeneous Graphs.
Hongtai Cao, Qihao Wang, Xiaodong Li, Matin Najafi, Kevin Chen-Chuan Chang, Reynold Cheng
2024LeaderKV: Improving Read Performance of KV Stores via Learned Index and Decoupled KV Table.
Yi Wang, Jianan Yuan, Shangyu Wu, Huan Liu, Jiaxian Chen, Chenlin Ma, Jianbin Qin
2024LearnSC: An Efficient and Unified Learning-Based Framework for Subgraph Counting Problem.
Wenzhe Hou, Xiang Zhao, Bo Tang
2024Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection.
Feiyi Chen, Yingying Zhang, Zhen Qin, Lunting Fan, Renhe Jiang, Yuxuan Liang, Qingsong Wen, Shuiguang Deng
2024Learning Time-Aware Graph Structures for Spatially Correlated Time Series Forecasting.
Minbo Ma, Jilin Hu, Christian S. Jensen, Fei Teng, Peng Han, Zhiqiang Xu, Tianrui Li
2024Learning k-Determinantal Point Processes for Personalized Ranking.
Yuli Liu, Christian Walder, Lexing Xie
2024Learning to Hash for Trajectory Similarity Computation and Search.
Liwei Deng, Yan Zhao, Jin Chen, Shuncheng Liu, Yuyang Xia, Kai Zheng
2024LightLT: A Lightweight Representation Quantization Framework for Long-Tail Data.
Haoyu Wang, Ruirui Li, Zhengyang Wang, Xianfeng Tang, Danqing Zhang, Monica Xiao Cheng, Bing Yin, Jasha Droppo, Suhang Wang, Jing Gao
2024LightTR: A Lightweight Framework for Federated Trajectory Recovery.
Ziqiao Liu, Hao Miao, Yan Zhao, Chenxi Liu, Kai Zheng, Huan Li
2024Lion: Minimizing Distributed Transactions Through Adaptive Replica Provision.
Qiushi Zheng, Zhanhao Zhao, Wei Lu, Chang Yao, Yuxing Chen, Anqun Pan, Xiaoyong Du
2024Local-Global History-Aware Contrastive Learning for Temporal Knowledge Graph Reasoning.
Wei Chen, Huaiyu Wan, Yuting Wu, Shuyuan Zhao, Jiayaqi Cheng, Yuxin Li, Youfang Lin
2024Log Replaying for Real-Time HTAP: An Adaptive Epoch-Based Two-Stage Framework.
Jun-Peng Zhu, Zhiwei Ye, Peng Cai, Donghui Wang, Fengyan Zhang, Dunbo Cai, Ling Qian
2024Logical Relation Modeling and Mining in Hyperbolic Space for Recommendation.
Yanchao Tan, Hang Lv, Zihao Zhou, Wenzhong Guo, Bo Xiong, Weiming Liu, Chaochao Chen, Shiping Wang, Carl Yang
2024M4: A Framework for Per-Flow Quantile Estimation.
Siyuan Dong, Zhuochen Fan, Tianyu Bai, Tong Yang, Hanyu Xue, Peiqing Chen, Yuhan Wu
2024MACRO: Incentivizing Multi-Leader Game-Based Pareto-Efficient Crowdsourcing for Video Analytics.
Yu Chen, Sheng Zhang, Ziying Zhou, Xiaokun Wang, Yu Liang, Ning Chen, Yuting Yan, Mingjun Xiao, Jie Wu, Zhuzhong Qian, Harry Xu
2024MFIX: An Efficient and Reliable Index Advisor via Multi-Fidelity Bayesian Optimization.
Zhuo Chang, Xinyi Zhang, Yang Li, Xupeng Miao, Yanzhao Qin, Bin Cui
2024MUSE-Net: Disentangling Multi-Periodicity for Traffic Flow Forecasting.
Jianyang Qin, Yan Jia, Yongxin Tong, Heyan Chai, Ye Ding, Xuan Wang, Binxing Fang, Qing Liao
2024MUST: An Effective and Scalable Framework for Multimodal Search of Target Modality.
Mengzhao Wang, Xiangyu Ke, Xiaoliang Xu, Lu Chen, Yunjun Gao, Pinpin Huang, Runkai Zhu
2024Managing the Future: Route Planning Influence Evaluation in Transportation Systems.
Zizhuo Xu, Lei Li, Mengxuan Zhang, Yehong Xu, Xiaofang Zhou
2024Masked Graph Modeling with Multi- View Contrast.
Yanchen Luo, Sihang Li, Yongduo Sui, Junkang Wu, Jiancan Wu, Xiang Wang
2024Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study [Extended Abstract].
Weixin Zeng, Xiang Zhao, Zhen Tan, Jiuyang Tang, Xueqi Cheng
2024Maximal Biclique Enumeration: A Prefix Tree Based Approach.
Jiujian Chen, Kai Wang, Ronghua Li, Hongchao Qin, Xuemin Lin, Guoren Wang
2024Mccatch: Scalable Microcluster Detection in Dimensional and Nondimensional Datasets.
Braulio Valentin Sanchez Vinces, Robson L. F. Cordeiro, Christos Faloutsos
2024Measuring Approximate Functional Dependencies: A Comparative Study.
Marcel Parciak, Sebastiaan Weytjens, Niel Hens, Frank Neven, Liesbet M. Peeters, Stijn Vansummeren
2024MergeSFL: Split Federated Learning with Feature Merging and Batch Size Regulation.
Yunming Liao, Yang Xu, Hongli Xu, Lun Wang, Zhiwei Yao, Chunming Qiao
2024Meta-Optimized Joint Generative and Contrastive Learning for Sequential Recommendation.
Yongjing Hao, Pengpeng Zhao, Junhua Fang, Jianfeng Qu, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou
2024Meta-optimized Structural and Semantic Contrastive Learning for Graph Collaborative Filtering.
Yongjing Hao, Pengpeng Zhao, Jianfeng Qu, Lei Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou
2024Metasql: A Generate-Then-Rank Framework for Natural Language to SQL Translation.
Yuankai Fan, Zhenying He, Tonghui Ren, Can Huang, Yinan Jing, Kai Zhang, X. Sean Wang
2024Mining Quasi-Periodic Communities in Temporal Network.
Yue Zeng, Hongchao Qin, Rong-Hua Li, Kai Wang, Guoren Wang, Xuemin Lin
2024Mirage: Generating Enormous Databases for Complex Workloads.
Qingshuai Wang, Hao Li, Zirui Hu, Rong Zhang, Chengcheng Yang, Peng Cai, Xuan Zhou, Aoying Zhou
2024Mitigating Data Scarcity in Supervised Machine Learning Through Reinforcement Learning Guided Data Generation.
Chengliang Chai, Kaisen Jin, Nan Tang, Ju Fan, Lianpeng Qiao, Yuping Wang, Yuyu Luo, Ye Yuan, Guoren Wang
2024Mitigating Data Sparsity in Integrated Data through Text Conceptualization.
Md. Ataur Rahman, Sergi Nadal, Oscar Romero, Dimitris Sacharidis
2024Mitigating Subgroup Unfairness in Machine Learning Classifiers: A Data-Driven Approach.
Yin Lin, Samika Gupta, H. V. Jagadish
2024MixedSearch: An Interactive System of Searching for the Best Tuple with Mixed Attributes.
Weicheng Wang, Min Xie, Raymond Chi-Wing Wong
2024Model Selection with Model Zoo via Graph Learning.
Ziyu Li, Hilco van der Wilk, Danning Zhan, Megha Khosla, Alessandro Bozzon, Rihan Hai
2024Model Trip: Enhancing Privacy and Fairness in Model Fusion Across Multi-Federations for Trustworthy Global Healthcare.
Qian Chen, Yiqiang Chen, Bingjie Yan, Xinlong Jiang, Xiaojin Zhang, Yan Kang, Teng Zhang, Wuliang Huang, Chenlong Gao, Lixin Fan, Qiang Yang
2024Modeling User Attention in Music Recommendation.
Sunhao Dai, Ninglu Shao, Jieming Zhu, Xiao Zhang, Zhenhua Dong, Jun Xu, Quanyu Dai, Ji-Rong Wen
2024MorphStream: Scalable Processing of Transactions over Streams.
Siqi Xiang, Zhonghao Yang, Jianjun Zhao, Yancan Mao, Shuhao Zhang
2024MuFuzz: Sequence-Aware Mutation and Seed Mask Guidance for Blockchain Smart Contract Fuzzing.
Peng Qian, Hanjie Wu, Zeren Du, Turan Vural, Dazhong Rong, Zheng Cao, Lun Zhang, Yanbin Wang, Jianhai Chen, Qinming He
2024Multi- View Teacher with Curriculum Data Fusion for Robust Unsupervised Domain Adaptation.
Yuhao Tang, Junyu Luo, Ling Yang, Xiao Luo, Wentao Zhang, Bin Cui
2024Multi-Grained Semantics-Aware Graph Neural Networks (Extended abstract).
Zhiqiang Zhong, Cheng-Te Li, Jun Pang
2024Multi-Modal Siamese Network for Few-Shot Knowledge Graph Completion.
Yuyang Wei, Wei Chen, Xiaofang Zhang, Pengpeng Zhao, Jianfeng Qu, Lei Zhao
2024Multi-Modality is All You Need for Transferable Recommender Systems.
Youhua Li, Hanwen Du, Yongxin Ni, Pengpeng Zhao, Qi Guo, Fajie Yuan, Xiaofang Zhou
2024Multi-view Attentive Variational Learning for Group Recommendation.
Wen Yang, Jiajie Xu, Rui Zhou, Lu Chen, Jianxin Li, Pengpeng Zhao, Chengfei Liu
2024MultiEM: Efficient and Effective Unsupervised Multi-Table Entity Matching.
Xiaocan Zeng, Pengfei Wang, Yuren Mao, Lu Chen, Xiaoze Liu, Yunjun Gao
2024Multifaceted Reformulations for Null & Low queries and its parallelism with Counterfactuals.
Jayanth Yetukuri, Yuyan Wang, Ishita K. Khan, Liyang Hao, Zhe Wu, Yang Liu
2024Multiple Continuous Top-K Queries Over Data Stream.
Rui Zhu, Yujin Jia, Xiaochun Yang, Baihua Zheng, Bin Wang, Chuanyu Zong
2024Multivariate Similarity Search - A Call for a New Breed of Similarity Search Algorithms.
Odysseas Papapetrou, Jens E. d'Hondt
2024Mutual Information-Guided GA for Bayesian Network Structure Learning (Extended Abstract).
Kefei Yan, Wei Fang, Hengyang Lu, Xin Zhang, Jun Sun, Xiaojun Wu
2024NC-ALG: Graph-Based Active Learning Under Noisy Crowd.
Wentao Zhang, Yexin Wang, Zhenbang You, Yang Li, Gang Cao, Zhi Yang, Bin Cui
2024Neos: A NVMe-GPUs Direct Vector Service Buffer in User Space.
Yuchen Huang, Xiaopeng Fan, Song Yan, Chuliang Weng
2024Neural Similarity Search on Supergraph Containment (Extended Abstract).
Hanchen Wang, Jianke Yu, Xiaoyang Wang, Chen Chen, Wenjie Zhang, Xuemin Lin
2024NewSP: A New Search Process for Continuous Subgraph Matching over Dynamic Graphs.
Ziming Li, Youhuan Li, Xinhuan Chen, Lei Zou, Yang Li, Xiaofeng Yang, Hongbo Jiang
2024Newton Sketches: Estimating Node Intimacy in Dynamic Graphs Using Newton's Law of Cooling.
Qizhi Chen, Ke Wang, Aoran Li, Yuhan Wu, Tong Yang, Bin Cui
2024Non-Invasive Fairness in Learning Through the Lens of Data Drift.
Ke Yang, Alexandra Meliou
2024OOD-GNN: Out-of-Distribution Generalized Graph Neural Network: (Extended Abstract).
Haoyang Li, Xin Wang, Ziwei Zhang, Wenwu Zhu
2024Observations and Opportunities in Solving Large-Scale Graph Data Processing Challenges at ByteDance by Using Heterogeneous Hardware.
Cheng Chen, Shuai Zhang
2024Ocean: Online Clustering and Evolution Analysis for Dynamic Streaming Data.
Chunhui Feng, Junhua Fang, Yue Xia, Pingfu Chao, Pengpeng Zhao, Jiajie Xu, Xiaofang Zhou
2024On Native Location-Optimized Data Systems.
Walid G. Aref
2024On Searching Maximum Directed (k, 𝓁)-Plex.
Shuohao Gao, Kaiqiang Yu, Shengxin Liu, Cheng Long, Zelong Qiu
2024On Tuning Raft for IoT Workload in Apache IoTDB.
Tian Jiang, Xiangdong Huang, Shaoxu Song, Chen Wang, Jianmin Wang
2024Online Anomaly Detection over Live Social Video Streaming.
Chengkun He, Xiangmin Zhou, Chen Wang, Iqbal Gondal, Jie Shao, Xun Yi
2024Online Container Caching with Late-Warm for IoT Data Processing.
Guopeng Li, Haisheng Tan, Xuan Zhang, Chi Zhang, Ruiting Zhou, Zhenhua Han, Guoliang Chen
2024Online Detection of Outstanding Quantiles with QuantileFilter.
Yuhan Wu, Aomufei Yuan, Zhouran Shi, Yuanpeng Li, Yikai Zhao, Peiqing Chen, Tong Yang, Bin Cui
2024Online Index Recommendation for Slow Queries.
Gan Peng, Peng Cai, Kaikai Ye, Kai Li, Jinlong Cai, Yufeng Shen, Han Su, Weiyuan Xu
2024Online Query-Based Data Pricing with Time-Discounting Valuations.
Yicheng Fu, Xiaoye Miao, Huanhuan Peng, Chongning Na, Shuiguang Deng, Jianwei Yin
2024Ontology-Mediated Query Answering Using Graph Patterns with Conditions.
Ping Lu, Ting Deng, Haoyuan Zhang, Yufeng Jin, Feiyi Liu, Tiancheng Mao, Lexiao Liu
2024Open-World Semi-Supervised Learning for Node Classification.
Yanling Wang, Jing Zhang, Lingxi Zhang, Lixin Liu, Yuxiao Dong, Cuiping Li, Hong Chen, Hongzhi Yin
2024Optimized Locking in SQL Azure.
Chaitanya Sreenivas Ravella, Prashanth Purnananda, Hanuma Kodavalla, Peter Byrne, Adrian-Leonard Radu, Wayne Chen, Srikanth Sampath, Naga Bhavana Atluri, Srinag Rao, Priyanka Kakade
2024Optimizing Context-Enhanced Relational Joins.
Viktor Sanca, Manos Chatzakis, Anastasia Ailamaki
2024Optimizing Probabilistic Box Embeddings with Distance Measures.
Lang Mei, Jiaxin Mao, Ji-Rong Wen
2024PLAME: Piecewise-Linear Approximate Measure for Additive Kernel SVM (Extended abstract).
Tsz Nam Chan, Zhe Li, Leong Hou U, Reynold Cheng
2024PP-Stream: Toward High-Performance Privacy-Preserving Neural Network Inference via Distributed Stream Processing.
Qingxiu Liu, Qun Huang, Xiang Chen, Sa Wang, Wenhao Wang, Shujie Han, Patrick P. C. Lee
2024PR-GNN: Enhancing PoC Report Recommendation with Graph Neural Network.
Jiangtao Lu, Song Huang
2024PURPLE: Making a Large Language Model a Better SQL Writer.
Tonghui Ren, Yuankai Fan, Zhenying He, Ren Huang, Jiaqi Dai, Can Huang, Yinan Jing, Kai Zhang, Yifan Yang, X. Sean Wang
2024Parameterized Decision-Making with Multi-Modality Perception for Autonomous Driving.
Yuyang Xia, Shuncheng Liu, Quanlin Yu, Liwei Deng, You Zhang, Han Su, Kai Zheng
2024Personal Manifold: Management of Personal Data in the Age of Large Language Models.
Alon Y. Halevy, Yuliang Li, Wang-Chiew Tan
2024Personalized PageRanks over Dynamic Graphs - The Case for Optimizing Quality of Service.
Zulun Zhu, Siqiang Luo, Wenqing Lin, Sibo Wang, Dingheng Mo, Chunbo Li
2024PlatoD2GL: An Efficient Dynamic Deep Graph Learning System for Graph Neural Network Training on Billion-Scale Graphs.
Xing Huang, Dandan Lin, Weiyi Huang, Shijie Sun, Jie Wen, Chuan Chen
2024Porygon: Scaling Blockchain via 3D Parallelism.
Wuhui Chen, Ding Xia, Zhongteng Cai, Hong-Ning Dai, Jianting Zhang, Zicong Hong, Junyuan Liang, Zibin Zheng
2024Positive Communities on Signed Graphs That Are Not Echo Chambers: A Clique-Based Approach.
Alexander Zhou, Yue Wang, Lei Chen, M. Tamer Özsu
2024Preserving Topological Feature with Sign-of-Determinant Predicates in Lossy Compression: A Case Study of Vector Field Critical Points.
Mingze Xia, Sheng Di, Franck Cappello, Pu Jiao, Kai Zhao, Jinyang Liu, Xuan Wu, Xin Liang, Hanqi Guo
2024PrestigeBFT: Revolutionizing View Changes in BFT Consensus Algorithms with Reputation Mechanisms.
Gengrui Zhang, Fei Pan, Sofia Tijanic, Hans-Arno Jacobsen
2024Preventing the Popular Item Embedding Based Attack in Federated Recommendations.
Jun Zhang, Huan Li, Dazhong Rong, Yan Zhao, Ke Chen, Lidan Shou
2024PrivShape: Extracting Shapes in Time Series Under User-Level Local Differential Privacy.
Yulian Mao, Qingqing Ye, Haibo Hu, Qi Wang, Kai Huang
2024Privacy-Aware Analysis based on Data Series.
Stephan A. Fahrenkrog-Petersen, Han van der Aa, Matthias Weidlich
2024Privacy-Preserving Traffic Flow Release with Consistency Constraints.
Xiaoting Zhu, Libin Zheng, Chen Jason Zhang, Peng Cheng, Rui Meng, Lei Chen, Xuemin Lin, Jian Yin
2024Pushing ML Predictions into DBMSs (Extended Abstract).
Matteo Paganelli, Paolo Sottovia, Kwanghyun Park, Matteo Interlandi, Francesco Guerra
2024PyTond: Efficient Python Data Science on the Shoulders of Databases.
Hesam Shahrokhi, Amirali Kaboli, Mahdi Ghorbani, Amir Shaikhha
2024Pyneapple-R: Scalable and Expressive Spatial Regionalization.
Yunfan Kang, Yongyi Liu, Hussah Alrashid, Akash Bilgi, Siddhant Purohit, Ahmed Mahmood, Sergio J. Rey, Amr Magdy
2024QCFE: An Efficient Feature Engineering for Query Cost Estimation.
Yu Yan, Hongzhi Wang, Junfang Huang, Dake Zhong, Tao Yu, Kaixin Zhang, Man Yang, Tianqing Wang
2024QFusor: A UDF Optimizer Plugin for SQL Databases.
Konstantinos Chasialis, Theoni Palaiologou, Yannis Foufoulas, Alkis Simitsis, Yannis E. Ioannidis
2024QSRP: Efficient Reverse k-Ranks Query Processing on High-Dimensional Embeddings.
Zheng Bian, Xiao Yan, Jiahao Zhang, Man Lung Yiu, Bo Tang
2024Quantum Algorithms for the Maximum K-Plex Problem.
Xiaofan Li, Gao Cong, Rui Zhou
2024Quantum Data Management: From Theory to Opportunities.
Rihan Hai, Shih-Han Hung, Sebastian Feld
2024Querying Cohesive Subgraph Regarding Span-Constrained Triangles on Temporal Graphs.
Chuhan Hu, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Ting Yu, Hongyang Chen, Mengchi Liu, Jeffrey Xu Yu
2024Querying Historical Cohesive Subgraphs Over Temporal Bipartite Graphs.
Shunyang Li, Kai Wang, Xuemin Lin, Wenjie Zhang, Yizhang He, Long Yuan
2024Querying Numeric-Constrained Shortest Distances on Road Networks.
Mingyu Yang, Wentao Li, Wei Wang, Dong Wen, Lu Qin
2024Querying Shortest Path on Large Time-Dependent Road Networks with Shortcuts.
Zengyang Gong, Yuxiang Zeng, Lei Chen
2024RA
Lei Chai, Lu Qi, Hailong Sun, Jingzheng Li
2024RAGE Against the Machine: Retrieval-Augmented LLM Explanations.
Joel Rorseth, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta
2024REGER: Reordering Time Series Data for Regression Encoding.
Jinzhao Xiao, Wendi He, Shaoxu Song, Xiangdong Huang, Chen Wang, Jianmin Wang
2024Range Cache: An Efficient Cache Component for Accelerating Range Queries on LSM - Based Key-Value Stores.
Xiaoliang Wang, Peiquan Jin, Yongping Luo, Zhaole Chu
2024RapidGKC: GPU-Accelerated K-Mer Counting.
Yiran Cheng, Xibo Sun, Qiong Luo
2024Reactive Knowledge Management.
Stefano Ceri, Anna Bernasconi, Alessia Gagliardi
2024Real-Time Trajectory Synthesis with Local Differential Privacy.
Yujia Hu, Yuntao Du, Zhikun Zhang, Ziquan Fang, Lu Chen, Kai Zheng, Yunjun Gao
2024Recommending Learning Objects through Attentive Heterogeneous Graph Convolution and Operation- Aware Neural Network (Extended Abstract).
Yifan Zhu, Qika Lin, Hao Lu, Kaize Shi, Donglei Liu, James Chambua, Shanshan Wan, Zhendong Niu
2024Reconsidering Tree based Methods for k-Maximum Inner-Product Search: The LRUS-CoverTree.
Hengzhao Ma, Jianzhong Li, Yong Zhang
2024Reducing Resource Usage for Continuous Model Updating and Predictive Query Answering in Graph Streams.
Qu Liu, Adam King, Tingjian Ge
2024Representation Learning for Entity Alignment in Knowledge Graph: A Design Space Exploration.
Peng Huang, Meihui Zhang, Ziyue Zhong, Chengliang Chai, Ju Fan
2024Representation Learning of Tangled Key-Value Sequence Data for Early Classification.
Tao Duan, Junzhou Zhao, Shuo Zhang, Jing Tao, Pinghui Wang
2024Resistance Eccentricity in Graphs: Distribution, Computation and Optimization.
Zenan Lu, Xiaotian Zhou, Ahad N. Zehmakan, Zhongzhi Zhang
2024Resource Allocation with Service Affinity in Large-Scale Cloud Environments.
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
2024Reverse Regret Query.
Weicheng Wang, Raymond Chi-Wing Wong, H. V. Jagadish, Min Xie
2024Riveter: Adaptive Query Suspension and Resumption Framework for Cloud Native Databases.
Rui Liu, Aaron J. Elmore, Michael J. Franklin, Sanjay Krishnan
2024RobFL: Robust Federated Learning via Feature Center Separation and Malicious Center Detection.
Ting Zhou, Ning Liu, Bo Song, Hongtao Lv, Deke Guo, Lei Liu
2024Robust Auto-Scaling with Probabilistic Workload Forecasting for Cloud Databases.
Haitian Hang, Xiu Tang, Jianling Sun, Lingfeng Bao, David Lo, Haoye Wang
2024Robust External Hash Aggregation in the Solid State Age.
Laurens Kuiper, Peter Boncz, Hannes Mühleisen
2024Robust Query Optimization in the Era of Machine Learning: State-of-the-Art and Future Directions.
Amin Kamali, Verena Kantere, Calisto Zuzarte
2024Routing with Massive Trajectory Data.
Christian S. Jensen, Bin Yang, Chenjuan Guo, Jilin Hu, Kristian Torp
2024Routing-Guided Learned Product Quantization for Graph-Based Approximate Nearest Neighbor Search.
Qiang Yue, Xiaoliang Xu, Yuxiang Wang, Yikun Tao, Xuliyuan Luo
2024S i 1 o F use: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion Models.
Aditya Shankar, Hans Brouwer, Rihan Hai, Lydia Y. Chen
2024SACH: Significant-Attributed Community Search in Heterogeneous Information Networks.
Yanghao Liu, Fangda Guo, Bingbing Xu, Peng Bao, Huawei Shen, Xueqi Cheng
2024SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting.
Yue Jiang, Xiucheng Li, Yile Chen, Shuai Liu, Weilong Kong, Antonis F. Lentzakis, Gao Cong
2024SES: Bridging the Gap Between Explainability and Prediction of Graph Neural Networks.
Zhenhua Huang, Kunhao Li, Shaojie Wang, Zhaohong Jia, Wentao Zhu, Sharad Mehrotra
2024SGCL: Semantic-aware Graph Contrastive Learning with Lipschitz Graph Augmentation.
Jinhao Cui, Heyan Chai, Xu Yang, Ye Ding, Binxing Fang, Qing Liao
2024SPES: Towards Optimizing Performance-Resource Trade-Off for Serverless Functions.
Cheryl Lee, Zhouruixin Zhu, Tianyi Yang, Yintong Huo, Yuxin Su, Pinjia He, Michael R. Lyu
2024SQL++: We Can Finally Relax!
Michael J. Carey, Don Chamberlin, Almann Goo, Kian Win Ong, Yannis Papakonstantinou, Chris Suver, Sitaram Vemulapalli, Till Westmann
2024SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation.
Chi Zhang, Qilong Han, Rui Chen, Xiangyu Zhao, Peng Tang, Hongtao Song
2024ST-ABC: Spatio-Temporal Attention-Based Convolutional Network for Multi-Scale Lane-Level Traffic Prediction.
Shuhao Li, Yue Cui, Libin Li, Weidong Yang, Fan Zhang, Xiaofang Zhou
2024STEM: Streaming-Based FPGA Acceleration for Large-Scale Compactions in LSM KV.
Dongdong Tang, Weilan Wang, Yu Mao, Jinghuan Yu, Tei-Wei Kuo, Chun Jason Xue
2024SWISP: Distributed Convoy Mining via Sliding Window-based Indexing and Sub-track Partitioning.
Chenxu Wang, Xin Yang, Tianyi Li, Jiaxing Wei, Pinghui Wang, Hongzhen Xiang, Christian S. Jensen
2024Scalable Community Search with Accuracy Guarantee on Attributed Graphs.
Yuxiang Wang, Shuzhan Ye, Xiaoliang Xu, Yuxia Geng, Zhenghe Zhao, Xiangyu Ke, Tianxing Wu
2024Scalable Distance Labeling Maintenance and Construction for Dynamic Small-World Networks.
Xinjie Zhou, Mengxuan Zhang, Lei Li, Xiaofang Zhou
2024Scalable Overspeed Item Detection in Streams.
Yuhan Wu, Hanbo Wu, Chengjun Jia, Bo Peng, Ziyun Zhang, Tong Yang, Peiqing Chen, Kaicheng Yang, Bin Cui
2024Scaling Up Multivariate Time Series Pre-Training with Decoupled Spatial-Temporal Representations.
Rui Zha, Le Zhang, Shuangli Li, Jingbo Zhou, Tong Xu, Hui Xiong, Enhong Chen
2024Scavenger: Better Space-Time Trade-Offs for Key-Value Separated LSM-trees.
Jianshun Zhang, Fang Wang, Sheng Qiu, Yi Wang, Jiaxin Ou, Junxun Huang, Baoquan Li, Peng Fang, Dan Feng
2024Search to Fine-Tune Pre-Trained Graph Neural Networks for Graph-Level Tasks.
Zhili Wang, Shimin Di, Lei Chen, Xiaofang Zhou
2024Searching Personalized k-wing in Bipartite Graphs (Extended Abstract).
Aman Abidi, Lu Chen, Rui Zhou, Chengfei Liu
2024SecMdp: Towards Privacy-Preserving Multimodal Deep Learning in End-Edge-Cloud.
Zhao Bai, Mingyue Wang, Fangda Guo, Yu Guo, Chengjun Cai, Rongfang Bie, Xiaohua Jia
2024Secure Normal Form: Mediation Among Cross Cryptographic Leakages in Encrypted Databases.
Shufan Zhang, Xi He, Ashish Kundu, Sharad Mehrotra, Shantanu Sharma
2024Secure and Practical Functional Dependency Discovery in Outsourced Databases.
Xinle Cao, Yuhan Li, Dmytro Bogatov, Jian Liu, Kui Ren
2024Self-Training GNN-based Community Search in Large Attributed Heterogeneous Information Networks.
Yuan Li, Xiuxu Chen, Yuhai Zhao, Wen Shan, Zhengkui Wang, Guoli Yang, Guoren Wang
2024Semi-Asynchronous Online Federated Crowdsourcing.
Xiangping Kang, Guoxian Yu, Qingzhong Li, Jun Wang, Hui Li, Carlotta Domeniconi
2024Separation Is for Better Reunion: Data Lake Storage at Huawei.
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
2024SharDAG: Scaling DAG-Based Blockchains Via Adaptive Sharding.
Feng Cheng, Jiang Xiao, Cunyang Liu, Shijie Zhang, Yifan Zhou, Bo Li, Baochun Li, Hai Jin
2024Share: Stackelberg-Nash based Data Markets.
Yuran Bi, Jinfei Liu, Chen Zhao, Junyi Zhao, Kui Ren, Li Xiong
2024Short-Text Author Linking Through Multi-Facet Temporal-Textual Embedding (Extended Abstract).
Saeed Najafipour Najafipour, Saeid Hosseini, Wen Hua, Mohammad Reza Kangavari, Xiaofang Zhou
2024ShrinkHPO: Towards Explainable Parallel Hyperparameter Optimization.
Tianyu Mu, Hongzhi Wang, Haoyun Tang, Xinyue Shao
2024Simultaneous Deep Clustering and Feature Selection via K-concrete Autoencoder (Extended abstract).
Woojin Doo, Heeyoung Kim
2024Sketches-Based Join Size Estimation Under Local Differential Privacy.
Meifan Zhang, Xin Liu, Lihua Yin
2024SoulMate: Short-Text Author Linking Through Multi-Aspect Temporal-Textual Embedding (Extended Abstract).
Saeed Najafi Pour, Saeid Hosseini, Wen Hua, Mohammad Reza Kangavari, Xiaofang Zhou
2024Space-Efficient Indexes for Uncertain Strings.
Estéban Gabory, Chang Liu, Grigorios Loukides, Solon P. Pissis, Wiktor Zuba
2024SparDL: Distributed Deep Learning Training with Efficient Sparse Communication.
Minjun Zhao, Yichen Yin, Yuren Mao, Qing Liu, Lu Chen, Yunjun Gao
2024SpotLess: Concurrent Rotational Consensus Made Practical Through Rapid View Synchronization.
Dakai Kang, Sajjad Rahnama, Jelle Hellings, Mohammad Sadoghi
2024Stable Heterogeneous Treatment Effect Estimation across Out-of-Distribution Populations.
Yuling Zhang, Anpeng Wu, Kun Kuang, Liang Du, Zixun Sun, Zhi Wang
2024Structure- and Logic-Aware Heterogeneous Graph Learning for Recommendation.
Anchen Li, Bo Yang, Huan Huo, Farookh Khadeer Hussain, Guandong Xu
2024Sylvie: 3D-Adaptive and Universal System for Large-Scale Graph Neural Network Training.
Meng Zhang, Qinghao Hu, Cheng Wan, Haozhao Wang, Peng Sun, Yonggang Wen, Tianwei Zhang
2024Synergies Between Graph Data Management and Machine Learning in Graph Data Pipeline.
Arijit Khan
2024T-Rex (Tree-Rectangles): Reformulating Decision Tree Traversal as Hyperrectangle Enclosure.
Meghana Madhyastha, Tamas Budavari, Vladimir Braverman, Joshua T. Vogelstein, Randal C. Burns
2024TASKS: A Real-Time Query System for Instant Error-Tolerant Spatial Keyword Queries on Road Networks.
Chengyang Luo, Lu Jin, Qing Liu, Yunjun Gao, Lu Chen
2024TELL: Efficient Transaction Execution Protocol Towards Leaderless Consensus.
Xing Tong, Zheming Ye, Zhao Zhang, Cheqing Jin, Aoying Zhou
2024TEngine: A Native Distributed Table Storage Engine.
Xiaopeng Fan, Song Yan, Yuchen Huang, Chuliang Weng
2024TMan: A High-Performance Trajectory Data Management System Based on Key-Value Stores.
Huajun He, Zihang Xu, Ruiyuan Li, Jie Bao, Tianrui Li, Yu Zheng
2024TP-GNN: Continuous Dynamic Graph Neural Network for Graph Classification.
Jie Liu, Jiamou Liu, Kaiqi Zhao, Yanni Tang, Wu Chen
2024TRAP: Tailored Robustness Assessment for Index Advisors via Adversarial Perturbation.
Wei Zhou, Chen Lin, Xuanhe Zhou, Guoliang Li, Tianqing Wang
2024TS3Net: Triple Decomposition with Spectrum Gradient for Long-Term Time Series Analysis.
Xiangkai Ma, Xiaobin Hong, Sanglu Lu, Wenzhong Li
2024TSDDISCOVER: Discovering Data Dependency for Time Series Data.
Xiaoou Ding, Yingze Li, Hongzhi Wang, Chen Wang, Yida Liu, Jianmin Wang
2024TSec: An Efficient and Effective Framework for Time Series Classification.
Yuanyuan Yao, Hailiang Jie, Lu Chen, Tianyi Li, Yunjun Gao, Shiting Wen
2024Target-agnostic Source-free Domain Adaptation for Regression Tasks.
Tianlang He, Zhiqiu Xia, Jierun Chen, Haoliang Li, S.-H. Gary Chan
2024Task Recommendation in Spatial Crowdsourcing: A Trade-Off Between Diversity and Coverage.
Liwei Deng, Yan Zhao, Yue Cui, Yuyang Xia, Jin Chen, Kai Zheng
2024Task-Oriented GNNs Training on Large Knowledge Graphs for Accurate and Efficient Modeling.
Hussein Abdallah, Waleed Afandi, Panos Kalnis, Essam Mansour
2024Temporal Graph Generation Featuring Time-Bound Communities.
Shuwen Zheng, Chaokun Wang, Cheng Wu, Yunkai Lou, Hao Feng, Xuran Yang
2024Temporal-Frequency Masked Autoencoders for Time Series Anomaly Detection.
Yuchen Fang, Jiandong Xie, Yan Zhao, Lu Chen, Yunjun Gao, Kai Zheng
2024The Indistinguishability Query.
Ashwin Lall
2024Time Series Data Cleaning Under Expressive Constraints on Both Rows and Columns.
Xiaoou Ding, Genglong Li, Hongzhi Wang, Chen Wang, Yichen Song
2024Time-Constrained Continuous Subgraph Matching Using Temporal Information for Filtering and Backtracking.
Seunghwan Min, Jihoon Jang, Kunsoo Park, Dora Giammarresi, Giuseppe F. Italiano, Wook-Shin Han
2024TimeDRL: Disentangled Representation Learning for Multivariate Time-Series.
Ching Chang, Chiao-Tung Chan, Wei-Yao Wang, Wen-Chih Peng, Tien-Fu Chen
2024TimeSGN: Scalable and Effective Temporal Graph Neural Network.
Yuanyuan Xu, Wenjie Zhang, Ying Zhang, Maria E. Orlowska, Xuemin Lin
2024Top-
Nan Zhang, Yutong Ye, Xiang Lian, Mingsong Chen
2024Topic Modeling on Document Networks with Dirichlet Optimal Transport Barycenter.
Delvin Ce Zhang, Hady Wirawan Lauw
2024Towards Cross-Domain Continual Learning.
Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Haoyan Chua, Edward Kien Yee Yapp
2024Towards Effective Next POI Prediction: Spatial and Semantic Augmentation with Remote Sensing Data.
Nan Jiang, Haitao Yuan, Jianing Si, Minxiao Chen, Shangguang Wang
2024Towards Explainability in Retrieval-Augmented LLMs.
Joel Rorseth, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta
2024Towards Exploratory Query Optimization for Template-Based SQL Workloads.
Jieming Feng, Zhanhuai Li, Qun Chen
2024Towards Semantic Consistency: Dirichlet Energy Driven Robust Multi-Modal Entity Alignment.
Yuanyi Wang, Haifeng Sun, Jiabo Wang, Jingyu Wang, Wei Tang, Qi Qi, Shaoling Sun, Jianxin Liao
2024Towards Streaming Consistency Management.
Samuele Langhi, Angela Bonifati, Riccardo Tommasini
2024Towards Task-Conflicts Momentum-Calibrated Approach for Multi-task Learning.
Heyan Chai, Zeyu Liu, Yongxin Tong, Ziyi Yao, Binxing Fang, Qing Liao
2024Towards a Shared-Storage-Based Serverless Database Achieving Seamless Scale-Up and Read Scale-Out.
Yingqiang Zhang, Xinjun Yang, Hao Chen, Feifei Li, Jiawei Xu, Jie Zhou, Xudong Wu, Qiang Zhang
2024Trajectory-Aware Task Coalition Assignment in Spatial Crowdsourcing (Extended Abstract).
Yuan Xie, Fan Wu, Xu Zhou, Wensheng Luo, Yifang Yin, Roger Zimmermann, Keqin Li, Kenli Li
2024TrendSharing: A Framework to Discover and Follow the Trends for Shared Mobility Services.
Jiexi Zhan, Han Wu, Peng Cheng, Libin Zheng, Lei Chen, Chen Jason Zhang, Xuemin Lin, Wenjie Zhang
2024Triple-D: Denoising Distant Supervision for High-Quality Data Creation.
Xinyi Zhu, Yongqi Zhang, Lei Chen, Kai Chen
2024UltraPrecise: A GPU-Based Framework for Arbitrary-Precision Arithmetic in Database Systems.
Xin Li, Mengbai Xiao, Dongxiao Yu, Rubao Lee, Xiaodong Zhang
2024Uncovering the Propensity Identification Problem in Debiased Recommendations.
Honglei Zhang, Shuyi Wang, Haoxuan Li, Chunyuan Zheng, Xu Chen, Li Liu, Shanshan Luo, Peng Wu
2024Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks.
He Zhang, Xingliang Yuan, Shirui Pan
2024Unraveling the 'Anomaly' in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution.
Yuting Sun, Guansong Pang, Guanhua Ye, Tong Chen, Xia Hu, Hongzhi Yin
2024Unsupervised Multimodal Graph Contrastive Semantic Anchor Space Dynamic Knowledge Distillation Network for Cross-Media Hash Retrieval.
Yang Yu, MeiYu Liang, Mengran Yin, Kangkang Lu, Junping Du, Zhe Xue
2024Unveiling Dis-Integration.
George Papadakis, Ekaterini Ioannou, Yannis Velegrakis
2024Urban Region Representation Learning with Attentive Fusion.
Fengze Sun, Jianzhong Qi, Yanchuan Chang, Xiaoliang Fan, Shanika Karunasekera, Egemen Tanin
2024Urban Sensing for Multi-Destination Workers via Deep Reinforcement Learning.
Shuliang Wang, Song Tang, Sijie Ruan, Cheng Long, Yuxuan Liang, Qi Li, Ziqiang Yuan, Jie Bao, Yu Zheng
2024User Learning In Interactive Data Exploration.
Sanad Saha, Nischal Aryal, Leilani Battle, Arash Termehchy
2024V2FS : A Verifiable Virtual Filesystem for Multi-Chain Query Authentication.
Haixin Wang, Cheng Xu, Xiaojie Chen, Ce Zhang, Haibo Hu, Shikun Tian, Ying Yan, Jianliang Xu
2024V2V: Efficiently Synthesizing Video Results for Video Queries.
Dominik Winecki, Arnab Nandi
2024VASIM: Vertical Autoscaling Simulator Toolkit.
Anna Pavlenko, Karla Saur, Yiwen Zhu, Brian Kroth, Joyce Cahoon, Jesús Camacho-Rodríguez
2024VDTuner: Automated Performance Tuning for Vector Data Management Systems.
Tiannuo Yang, Wen Hu, Wangqi Peng, Yusen Li, Jianguo Li, Gang Wang, Xiaoguang Liu
2024Value-Wise ConvNet for Transformer Models: An Infinite Time-Aware Recommender System (Extended Abstract).
Mohsen Saaki, Saeid Hosseini, Sana Rahmani, Mohammad Reza Kangavari, Wen Hua, Xiaofang Zhou
2024Variable-Length Path Query Evaluation Based on Worst-Case Optimal Joins.
Mingdao Li, Peng Peng, Zheyuan Hu, Lei Zou, Zheng Qin
2024VisionEmbedder: Bit-Level-Compact Key-Value Storage with Constant Lookup, Rapid Updates, and Rare Failure.
Yuhan Wu, Feiyu Wang, Yifan Zhu, Zhuochen Fan, Zhiting Xiong, Tong Yang, Bin Cui
2024W-GBC: An Adaptive Weighted Clustering Method Based on Granular-Ball Structure.
Jiang Xie, Chunfeng Hua, Shuyin Xia, Yuxin Cheng, Guoyin Wang, Xinbo Gao
2024Wait to be Faster: A Smart Pooling Framework for Dynamic Ridesharing.
Xiaoyao Zhong, Jiabao Jin, Peng Cheng, Wangze Ni, Libin Zheng, Lei Chen, Xuemin Lin
2024Wearables for Health (W4H) Toolkit for Acquisition, Storage, Analysis and Visualization of Data from Various Wearable Devices.
Arash Hajisafi, Maria Despoina Siampou, Jize Bi, Luciano Nocera, Cyrus Shahabi
2024When Data Pricing Meets Non-Cooperative Game Theory.
Yuran Bi, Yihang Wu, Jinfei Liu, Kui Ren, Li Xiong
2024When Multi-Behavior Meets Multi-Interest: Multi-Behavior Sequential Recommendation with Multi-Interest Self-Supervised Learning.
Binquan Wu, Yu Cheng, Haitao Yuan, Qianli Ma
2024Why Files If You Have a DBMS?
Lam-Duy Nguyen, Viktor Leis
2024Why Model-Based Lossy Compression is Great for Wind Turbine Analytics.
Søren Kejser Jensen, Christian Thomsen, Torben Bach Pedersen, Carlos Enrique Muñiz-Cuza, Abduvoris Abduvakhobov
2024Why-Not Explainable Graph Recommender.
Hervé-Madelein Attolou, Katerina Tzompanaki, Kostas Stefanidis, Dimitris Kotzinos
2024Wings: Efficient Online Multiple Graph Pattern Matching.
Guanxian Jiang, Yunjian Zhao, Yichao Li, Zhi Liu, Tatiana Jin, Wanying Zheng, Boyang Li, James Cheng
2024Xorbits: Automating Operator Tiling for Distributed Data Science.
Weizheng Lu, Kaisheng He, Xuye Qin, Chengjie Li, Zhong Wang, Tao Yuan, Xia Liao, Feng Zhang, Yueguo Chen, Xiaoyong Du
2024ZERoTuNE: Learned Zero-Shot Cost Models for Parallelism Tuning in Stream Processing.
Pratyush Agnihotri, Boris Koldehofe, Paul Stiegele, Roman Heinrich, Carsten Binnig, Manisha Luthra
2024dsymb Playground: An Interactive Tool to Explore Large Multivariate Time Series Datasets.
Sylvain W. Combettes, Paul Boniol, Charles Truong, Laurent Oudre