default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID40th 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