| 2022 | $O^{2}$-SiteRec: Store Site Recommendation under the O2O Model via Multi-graph Attention Networks. Hua Yan, Shuai Wang, Yu Yang, Baoshen Guo, Tian He, Desheng Zhang |
| 2022 | 38th IEEE International Conference on Data Engineering, ICDE 2022, Kuala Lumpur, Malaysia, May 9-12, 2022 |
| 2022 | A Branch Elimination-based Efficient Algorithm for Large-scale Multiple Longest Common Subsequence Problem (Extended Abstract). Shiwei Wei, Yuping Wang, Yiu-ming Cheung |
| 2022 | A Comparative Study of in-Database Inference Approaches. Qiuru Lin, Sai Wu, Junbo Zhao, Jian Dai, Feifei Li, Gang Chen |
| 2022 | A Data-Driven Spatial-Temporal Graph Neural Network for Docked Bike Prediction. Guanyao Li, Xiaofeng Wang, Gunarto Sindoro Njoo, Shuhan Zhong, S.-H. Gary Chan, Chih-Chieh Hung, Wen-Chih Peng |
| 2022 | A Demonstration of RASED: A Scalable Dashboard for Monitoring Road Network Updates in OSM. Mashaal Musleh, Mohamed F. Mokbel |
| 2022 | A Dual-Store Structure for Knowledge Graphs (Extended Abstract). Zhixin Qi, Hongzhi Wang, Haoran Zhang |
| 2022 | A Generalized Framework for Preserving Both Privacy and Utility in Data Outsourcing (Extended Abstract). Shangyu Xie, Meisam Mohammady, Han Wang, Lingyu Wang, Jaideep Vaidya, Yuan Hong |
| 2022 | A Journey from Commit Processing in Distributed Databases to Consensus in Blockchain. Kamal Kant, Sarvesh Pandey, Udai Shanker |
| 2022 | A Knowledge Base Question Answering System for Cyber Threat Knowledge Acquisition. Zhengjie Ji, Edward Choi, Peng Gao |
| 2022 | A Machine Learning-Aware Data Re-partitioning Framework for Spatial Datasets. Kanchan Chowdhury, Venkata Vamsikrishna Meduri, Mohamed Sarwat |
| 2022 | A Model-Agnostic Approach for Learning with Noisy Labels of Arbitrary Distributions. Shuang Hao, Peng Li, Renzhi Wu, Xu Chu |
| 2022 | A Resource-Aware Deep Cost Model for Big Data Query Processing. Yan Li, Liwei Wang, Sheng Wang, Yuan Sun, Zhiyong Peng |
| 2022 | A Sketch-based Index for Correlated Dataset Search. Aécio S. R. Santos, Aline Bessa, Christopher Musco, Juliana Freire |
| 2022 | AMCAD: Adaptive Mixed-Curvature Representation based Advertisement Retrieval System. Zhirong Xu, Shiyang Wen, Junshan Wang, Guojun Liu, Liang Wang, Zhi Yang, Lei Ding, Yan Zhang, Di Zhang, Jian Xu, Bo Zheng |
| 2022 | APOTS: A Model for Adversarial Prediction of Traffic Speed. Namhyuk Kim, Junho Song, Siyoung Lee, Jaewon Choe, Kyungsik Han, Sunghwan Park, Sang-Wook Kim |
| 2022 | Academic Expert Finding via $(k, \mathcal{P})$-Core based Embedding over Heterogeneous Graphs. Xiaoliang Xu, Jun Liu, Yuxiang Wang, Xiangyu Ke |
| 2022 | Accelerating Entity Lookups in Knowledge Graphs Through Embeddings. Ghadeer Abuoda, Saravanan Thirumuruganathan, Ashraf Aboulnaga |
| 2022 | Accurate and Scalable Graph Neural Networks for Billion-Scale Graphs. Juxiang Zeng, Pinghui Wang, Lin Lan, Junzhou Zhao, Feiyang Sun, Jing Tao, Junlan Feng, Min Hu, Xiaohong Guan |
| 2022 | Adaptive Code Learning for Spark Configuration Tuning. Chen Lin, Junqing Zhuang, Jiadong Feng, Hui Li, Xuanhe Zhou, Guoliang Li |
| 2022 | Adaptive Partitioning for Large-Scale Graph Analytics in Geo-Distributed Data Centers. Amelie Chi Zhou, Juanyun Luo, Ruibo Qiu, Haobin Tan, Bingsheng He, Rui Mao |
| 2022 | Adaptive Task Planning for Large-Scale Robotized Warehouses. Dingyuan Shi, Yongxin Tong, Zimu Zhou, Ke Xu, Wenzhe Tan, Hongbo Li |
| 2022 | Aggregate Queries on Knowledge Graphs: Fast Approximation with Semantic-aware Sampling. Yuxiang Wang, Arijit Khan, Xiaoliang Xu, Jiahui Jin, Qifan Hong, Tao Fu |
| 2022 | AiRS: A Large-Scale Recommender System at NAVER News. Hongjun Lim, Yeon-Chang Lee, Jin-Seo Lee, Sanggyu Han, Seunghyeon Kim, Yeon Jeong Jeong, Changbong Kim, Jaehun Kim, Sunghoon Han, Solbi Choi, Hanjong Ko, Dokyeong Lee, Jaeho Choi, Yungi Kim, Hong-Kyun Bae, Taeho Kim, JeeWon Ahn, Hyun-Soung You, Sang-Wook Kim |
| 2022 | Airphant: Cloud-oriented Document Indexing. Supawit Chockchowwat, Chaitanya Sood, Yongjoo Park |
| 2022 | An Extended SSD-Based Cache for Efficient Object Store Access in SAP IQ. Sagar Shedge, Nishant Sharma, Anant Agarwal, Mohammed Abouzour, Günes Aluç |
| 2022 | Analytics at Scale: Evolution at Infrastructure and Algorithmic Levels. Mohammed Al-Kateb, Mohamed Y. Eltabakh, Awny Al-Omari, Paul G. Brown |
| 2022 | Anomaly Detection in Time Series with Robust Variational Quasi-Recurrent Autoencoders. Tung Kieu, Bin Yang, Chenjuan Guo, Razvan-Gabriel Cirstea, Yan Zhao, Yale Song, Christian S. Jensen |
| 2022 | Apache ShardingSphere: A Holistic and Pluggable Platform for Data Sharding. Ruiyuan Li, Liang Zhang, Juan Pan, Junwen Liu, Peng Wang, Nianjun Sun, Shanmin Wang, Chao Chen, Fuqiang Gu, Songtao Guo |
| 2022 | Application-Oriented Workload Generation for Transactional Database Performance Evaluation. Luyi Qu, Yuming Li, Rong Zhang, Ting Chen, Ke Shu, Weining Qian, Aoying Zhou |
| 2022 | Assessing the Existence of a Function in a Dataset with the g3 Indicator. Pierre Faure-Giovagnoli, Jean-Marc Petit, Vasile-Marian Scuturici |
| 2022 | Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation. Yankai Chen, Yaming Yang, Yujing Wang, Jing Bai, Xiangchen Song, Irwin King |
| 2022 | AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020. Jin Xu, Mingjian Chen, Jianqiang Huang, Xingyuan Tang, Ke Hu, Jian Li, Jia Cheng, Jun Lei |
| 2022 | AutoIndex: An Incremental Index Management System for Dynamic Workloads. Xuanhe Zhou, Luyang Liu, Wenbo Li, Lianyuan Jin, Shifu Li, Tianqing Wang, Jianhua Feng |
| 2022 | Automatic Performance Tuning for Distributed Data Stream Processing Systems. Herodotos Herodotou, Lambros Odysseos, Yuxing Chen, Jiaheng Lu |
| 2022 | BA-GNN: On Learning Bias-Aware Graph Neural Network. Zhengyu Chen, Teng Xiao, Kun Kuang |
| 2022 | BETZE: Benchmarking Data Exploration Tools with (Almost) Zero Effort. Nico Schäfer, Sebastian Michel |
| 2022 | Bamboo Filters: Make Resizing Smooth. Hancheng Wang, Haipeng Dai, Meng Li, Jun Yu, Rong Gu, Jiaqi Zheng, Guihai Chen |
| 2022 | Bilateral Preference-aware Task Assignment in Spatial Crowdsourcing. Xu Zhou, Shiting Liang, Kenli Li, Yunjun Gao, Keqin Li |
| 2022 | BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection. Yulin Zhu, Yuni Lai, Kaifa Zhao, Xiapu Luo, Mingquan Yuan, Jian Ren, Kai Zhou |
| 2022 | Black-box Adversarial Attack and Defense on Graph Neural Networks. Haoyang Li, Shimin Di, Zijian Li, Lei Chen, Jiannong Cao |
| 2022 | BlockOPE: Efficient Order-Preserving Encryption for Permissioned Blockchain. Zhihao Chen, Qingqing Li, Xiaodong Qi, Zhao Zhang, Cheqing Jin, Aoying Zhou |
| 2022 | Boosting Entity Mention Detection for Targetted Twitter Streams with Global Contextual Embeddings. Satadisha Saha Bhowmick, Eduard C. Dragut, Weiyi Meng |
| 2022 | Building Graphs at Scale via Sequence of Edges: Model and Generation Algorithms (Extended Abstract). Yu Liu, Lei Zou, Zhewei Wei |
| 2022 | COCA: Cost-Effective Collaborative Annotation System by Combining Experts and Amateurs. Jiayu Lei, Zheng Zhang, Lan Zhang, Xiang-Yang Li |
| 2022 | CORE-SG: Efficient Computation of Multiple MSTs for Density-Based Methods. Antônio Cavalcante Araújo Neto, Murilo Coelho Naldi, Ricardo J. G. B. Campello, Jörg Sander |
| 2022 | Cheaper Is Better: Exploring Price Competitiveness for Online Purchase Prediction. Han Wu, Hongzhe Zhang, Liangyue Li, Zulong Chen, Fanwei Zhu, Xiao Fang |
| 2022 | CheetahKG: A Demonstration for Core-based Top-$k$ Frequent Pattern Discovery on Knowledge Graphs. Bo Tang, Jian Zeng, Qiandong Tang, Chuan Yang, Qiaomu Shen, Leong Hou U, Xiao Yan, Dan Zeng |
| 2022 | Clock-G: A temporal graph management system with space-efficient storage technique. Maria Massri, Zoltán Miklós, Philippe Raipin Parvédy, Pierre Meye |
| 2022 | Clustering Activation Networks. Zijin Feng, Miao Qiao, Hong Cheng |
| 2022 | Clustering-based Partitioning for Large Web Graphs. Deyu Kong, Xike Xie, Zhuoxu Zhang |
| 2022 | CoANE: Modeling Context Co-occurrence for Attributed Network Embedding. I-Chung Hsieh, Cheng-Te Li |
| 2022 | Collecting Triangle Counts with Edge Relationship Local Differential Privacy. Yuhan Liu, Suyun Zhao, Yixuan Liu, Dan Zhao, Hong Chen, Cuiping Li |
| 2022 | Colorful h-star Core Decomposition. Sen Gao, Rong-Hua Li, Hongchao Qin, Hongzhi Chen, Ye Yuan, Guoren Wang |
| 2022 | Community-aware Social Recommendation: A Unified SCSVD Framework (Extended Abstract). Jiewen Guan, Xin Huang, Bilian Chen |
| 2022 | Comparing Alternative Route Planning Techniques: A Comparative User Study on Melbourne, Dhaka and Copenhagen Road Networks (Extended Abstract). Lingxiao Li, Muhammad Aamir Cheema, Hua Lu, Mohammed Eunus Ali, Adel Nadjaran Toosi |
| 2022 | Competitive Consistent Caching for Transactions. Shuai An, Yang Cao, Wenyue Zhao |
| 2022 | Computation Reuse via Fusion in Amazon Athena. Nicolas Bruno, Johnny Debrodt, Chujun Song, Wei Zheng |
| 2022 | Computing Maximum Structural Balanced Cliques in Signed Graphs. Kai Yao, Lijun Chang, Lu Qin |
| 2022 | Conditional Regression Rules. Rui Kang, Shaoxu Song, Chaokun Wang |
| 2022 | Consistent Answers of Aggregation Queries via SAT. Akhil A. Dixit, Phokion G. Kolaitis |
| 2022 | Consistent Subgraph Matching over Large Graphs. Ye Yuan, Delong Ma, Aoqian Zhang, Guoren Wang |
| 2022 | Constrained Path Search with Submodular Function Maximization. Xuefeng Chen, Xin Cao, Yifeng Zeng, Yixiang Fang, Sibo Wang, Xuemin Lin, Liang Feng |
| 2022 | Constructing Compact Time Series Index for Efficient Window Query Processing. Jing Zhao, Peng Wang, Bo Tang, Lu Liu, Chen Wang, Wei Wang, Jianmin Wang |
| 2022 | Constructing a skeleton database and enriching it using a Generative Adversarial Network (GAN) simulator to assess human movement. Yoram Segal, Ofer Hadar |
| 2022 | Continuous Geo-Social Group Monitoring over Moving Users. Huaijie Zhu, Wei Liu, Jian Yin, Mengxiang Wang, Jianliang Xu, Xin Huang, Wang-Chien Lee |
| 2022 | Continuous Trajectory Similarity Search for Online Outlier Detection (Extended Abstract). Dongxiang Zhang, Zhihao Chang, Sai Wu, Ye Yuan, Kian-Lee Tan, Gang Chen |
| 2022 | Contrastive Learning for Sequential Recommendation. Xu Xie, Fei Sun, Zhaoyang Liu, Shiwen Wu, Jinyang Gao, Jiandong Zhang, Bolin Ding, Bin Cui |
| 2022 | Core Decomposition on Uncertain Graphs Revisited (Extended Abstract). Qiangqiang Dai, Rong-Hua Li, Guoren Wang, Rui Mao, Zhiwei Zhang, Ye Yuan |
| 2022 | Cost-Aware and Distance-Constrained Collective Spatial Keyword Query (Extended Abstract). Harry Kai-Ho Chan, Shengxin Liu, Cheng Long, Raymond Chi-Wing Wong |
| 2022 | Cost-Effective Algorithms for Average-Case Interactive Graph Search. Qianhao Cong, Jing Tang, Yuming Huang, Lei Chen, Yeow Meng Chee |
| 2022 | Croesus: Multi-Stage Processing and Transactions for Video-Analytics in Edge-Cloud Systems. Samaa Gazzaz, Vishal Chakraborty, Faisal Nawab |
| 2022 | Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck. Jiangxia Cao, Jiawei Sheng, Xin Cong, Tingwen Liu, Bin Wang |
| 2022 | Crowdsourced Fact Validation for Knowledge Bases. Libin Zheng, Peng Cheng, Lei Chen, Jianxing Yu, Xuemin Lin, Jian Yin |
| 2022 | Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress (Extended Abstract). Renjie Wu, Eamonn J. Keogh |
| 2022 | DB-LSH: Locality-Sensitive Hashing with Query-based Dynamic Bucketing. Yao Tian, Xi Zhao, Xiaofang Zhou |
| 2022 | DPar2: Fast and Scalable PARAFAC2 Decomposition for Irregular Dense Tensors. Jun-Gi Jang, U Kang |
| 2022 | DRGI: Deep Relational Graph Infomax for Knowledge Graph Completion: (Extended Abstract). Shuang Liang, Jie Shao, Dongyang Zhang, Jiasheng Zhang, Bin Cui |
| 2022 | Database Optimizers in the Era of Learning. Dimitris Tsesmelis, Alkis Simitsis |
| 2022 | Deep Popularity Prediction in Multi-Source Cascade with HERI-GCN. Zhen Wu, Jingya Zhou, Ling Liu, Chaozhuo Li, Fei Gu |
| 2022 | Deep and Collective Entity Resolution in Parallel. Ting Deng, Wenfei Fan, Ping Lu, Xiaomeng Luo, Xiaoke Zhu, Wanhe An |
| 2022 | DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction (Extended abstract). Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Quanjun Chen, Kota Tsubouchi, Xuan Song, Ryosuke Shibasaki |
| 2022 | Detecting Loaded Trajectories for Hazardous Chemicals Transportation. Shuncheng Liu, Zhi Xu, Huimin Ren, Tianfu He, Boyang Han, Jie Bao, Kai Zheng, Yu Zheng |
| 2022 | Discovering Actual Delivery Locations from Mis-Annotated Couriers' Trajectories. Sijie Ruan, Cheng Long, Xiaodu Yang, Tianfu He, Ruiyuan Li, Jie Bao, Yiheng Chen, Shengnan Wu, Jiangtao Cui, Yu Zheng |
| 2022 | Discovering Domain Orders via Order Dependencies. Reza Karegar, Melicaalsadat Mirsafian, Parke Godfrey, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta |
| 2022 | Discovering Hierarchy of Bipartite Graphs with Cohesive Subgraphs. Kai Wang, Wenjie Zhang, Xuemin Lin, Ying Zhang, Shunyang Li |
| 2022 | Discovering Representative Attribute-stars via Minimum Description Length. Jiahong Liu, Min Zhou, Philippe Fournier-Viger, Menglin Yang, Lujia Pan, Mourad Nouioua |
| 2022 | Distributed Influence Maximization for Large-Scale Online Social Networks. Jing Tang, Yuqing Zhu, Xueyan Tang, Kai Han |
| 2022 | Distributed Set Label-Constrained Reachability Queries over Billion-Scale Graphs. Yuanyuan Zeng, Wangdong Yang, Xu Zhou, Guoqing Xiao, Yunjun Gao, Kenli Li |
| 2022 | Distributed Task-Based Training of Tree Models. Da Yan, Md Mashiur Rahman Chowdhury, Guimu Guo, Jalal Khalil, Zhe Jiang, Sushil K. Prasad |
| 2022 | Diverse Preference Augmentation with Multiple Domains for Cold-start Recommendations. Yan Zhang, Changyu Li, Ivor W. Tsang, Hui Xu, Lixin Duan, Hongzhi Yin, Wen Li, Jie Shao |
| 2022 | DualGraph: Improving Semi-supervised Graph Classification via Dual Contrastive Learning. Xiao Luo, Wei Ju, Meng Qu, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang |
| 2022 | DynaHash: Efficient Data Rebalancing in Apache AsterixDB. Chen Luo, Michael J. Carey |
| 2022 | Dynamic Approximate Maximum Independent Set on Massive Graphs. Xiangyu Gao, Jianzhong Li, Dongjing Miao |
| 2022 | Dynamic Functional Dependency Discovery with Dynamic Hitting Set Enumeration. Renjie Xiao, Yong'an Yuan, Zijing Tan, Shuai Ma, Wei Wang |
| 2022 | Dynamic Hypergraph Convolutional Network. Nan Yin, Fuli Feng, Zhigang Luo, Xiang Zhang, Wenjie Wang, Xiao Luo, Chong Chen, Xian-Sheng Hua |
| 2022 | Dynamic Model Tree for Interpretable Data Stream Learning. Johannes Haug, Klaus Broelemann, Gjergji Kasneci |
| 2022 | EC-Graph: A Distributed Graph Neural Network System with Error-Compensated Compression. Zhen Song, Yu Gu, Jianzhong Qi, Zhigang Wang, Ge Yu |
| 2022 | ELDA: Learning Explicit Dual-Interactions for Healthcare Analytics. Qingpeng Cai, Kaiping Zheng, Beng Chin Ooi, Wei Wang, Chang Yao |
| 2022 | EMP: Max-P Regionalization with Enriched Constraints. Yunfan Kang, Amr Magdy |
| 2022 | Effective Explanations for Entity Resolution Models. Tommaso Teofili, Donatella Firmani, Nick Koudas, Vincenzo Martello, Paolo Merialdo, Divesh Srivastava |
| 2022 | Effective Few-Shot Named Entity Linking by Meta-Learning. Xiuxing Li, Zhenyu Li, Zhengyan Zhang, Ning Liu, Haitao Yuan, Wei Zhang, Zhiyuan Liu, Jianyong Wang |
| 2022 | Efficient $k-\text{clique}$ Listing with Set Intersection Speedup. Zhirong Yuan, You Peng, Peng Cheng, Li Han, Xuemin Lin, Lei Chen, Wenjie Zhang |
| 2022 | Efficient Approximate Range Aggregation over Large-scale Spatial Data Federation (Extended Abstract). Yexuan Shi, Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Bolin Ding, Lei Chen |
| 2022 | Efficient Computation of Cohesive Subgraphs in Uncertain Bipartite Graphs. Gengda Zhao, Kai Wang, Wenjie Zhang, Xuemin Lin, Ying Zhang, Yizhang He |
| 2022 | Efficient EMD-based Similarity Search via Batch Pruning and Incremental Computation (Extended Abstract). Yu Chen, Yong Zhang, Jin Wang, Jiacheng Wu, Chunxiao Xing |
| 2022 | Efficient GPU-accelerated Join Optimization for Complex Queries. Vasilis Mageirakos, Riccardo Mancini, Srinivas Karthik, Bikash Chandra, Anastasia Ailamaki |
| 2022 | Efficient Graph Isomorphism Query Processing using Degree Sequences and Color-Label Distributions. Geonmo Gu, Yehyun Nam, Kunsoo Park, Zvi Galil, Giuseppe F. Italiano, Wook-Shin Han |
| 2022 | Efficient Learning-based Community-Preserving Graph Generation. Sheng Xiang, Dawei Cheng, Jianfu Zhang, Zhenwei Ma, Xiaoyang Wang, Ying Zhang |
| 2022 | Efficient Participant Contribution Evaluation for Horizontal and Vertical Federated Learning. Junhao Wang, Lan Zhang, Anran Li, Xuanke You, Haoran Cheng |
| 2022 | Efficient Personalized Maximum Biclique Search. Kai Wang, Wenjie Zhang, Xuemin Lin, Lu Qin, Alexander Zhou |
| 2022 | Efficient Reinforcement of Bipartite Networks at Billion Scale. Yizhang He, Kai Wang, Wenjie Zhang, Xuemin Lin, Ying Zhang |
| 2022 | Efficient Top-k Ego-Betweenness Search. Qi Zhang, Rong-Hua Li, Minjia Pan, Yongheng Dai, Guoren Wang, Ye Yuan |
| 2022 | Efficient Top-k Vulnerable Nodes Detection in Uncertain Graphs (Extended abstract). Dawei Cheng, Chen Chen, Xiaoyang Wang, Sheng Xiang |
| 2022 | Efficient and Oblivious Query Processing for Range and kNN Queries (Extended Abstract). Zhao Chang, Dong Xie, Feifei Li, Jeff M. Phillips, Rajeev Balasubramonian |
| 2022 | Efficiently Transforming Tables for Joinability. Arash Dargahi Nobari, Davood Rafiei |
| 2022 | Enhancing Federated Learning with In-Cloud Unlabeled Data. Lun Wang, Yang Xu, Hongli Xu, Jianchun Liu, Zhiyuan Wang, Liusheng Huang |
| 2022 | Enhancing Federated Learning with Intelligent Model Migration in Heterogeneous Edge Computing. Jianchun Liu, Yang Xu, Hongli Xu, Yunming Liao, Zhiyuan Wang, He Huang |
| 2022 | Enhancing Recommendation with Automated Tag Taxonomy Construction in Hyperbolic Space. Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Longfei Li, Xiaolin Zheng |
| 2022 | Epidemic Spread Optimization for Disease Containment with NPIs and Vaccination. Ya-Wen Teng, Yishuo Shi, De-Nian Yang, Wang-Chien Lee, Philip S. Yu, Ying-Liang Lu, Ming-Syan Chen |
| 2022 | Equi-Joins over Encrypted Data for Series of Queries. Masoumeh Shafieinejad, Suraj Gupta, Jin Yang Liu, Koray Karabina, Florian Kerschbaum |
| 2022 | Estimating Node Importance Values in Heterogeneous Information Networks. Chenji Huang, Yixiang Fang, Xuemin Lin, Xin Cao, Wenjie Zhang, Maria E. Orlowska |
| 2022 | Evaluating Complex Queries on Streaming Graphs. Anil Pacaci, Angela Bonifati, M. Tamer Özsu |
| 2022 | Event Popularity Prediction Using Influential Hashtags from Social Media (Extended Abstract). Xi Chen, Xiangmin Zhou, Jeffrey Chan, Lei Chen, Timos Sellis, Yanchun Zhang |
| 2022 | Evolutionary Clustering of Moving Objects. Tianyi Li, Lu Chen, Christian S. Jensen, Torben Bach Pedersen, Yunjun Gao, Jilin Hu |
| 2022 | ExSample: Efficient Searches on Video Repositories through Adaptive Sampling. Oscar R. Moll, Favyen Bastani, Sam Madden, Mike Stonebraker, Vijay Gadepally, Tim Kraska |
| 2022 | ExSample: Efficient Searches on Video Repositories through Adaptive Sampling. Oscar R. Moll, Favyen Bastani, Sam Madden, Mike Stonebraker, Vijay Gadepally, Tim Kraska |
| 2022 | Example-based Spatial Search at Scale. Hanyuan Zhang, Siqiang Luo, Jieming Shi, Jing Nathan Yan, Weiwei Sun |
| 2022 | Explainable AI: Foundations, Applications, Opportunities for Data Management Research. Romila Pradhan, Aditya Lahiri, Sainyam Galhotra, Babak Salimi |
| 2022 | Exploiting Hierarchical Parallelism and Reusability in Tensor Kernel Processing on Heterogeneous HPC Systems. Yuedan Chen, Guoqing Xiao, M. Tamer Özsu, Zhuo Tang, Albert Y. Zomaya, Kenli Li |
| 2022 | Exploration of Knowledge Graphs via Online Aggregation. Oren Kalinsky, Aidan Hogan, Oren Mishali, Yoav Etsion, Benny Kimelfeld |
| 2022 | FAIR-DB: A system to discover unfairness in datasets. Fabio Azzalini, Chiara Criscuolo, Letizia Tanca |
| 2022 | Factor Windows: Cost-based Query Rewriting for Optimizing Correlated Window Aggregates. Wentao Wu, Philip A. Bernstein, Alex Raizman, Christina Pavlopoulou |
| 2022 | Fairness-Aware Range Queries for Selecting Unbiased Data. Suraj Shetiya, Ian P. Swift, Abolfazl Asudeh, Gautam Das |
| 2022 | Fairness-aware Maximal Clique Enumeration. Minjia Pan, Rong-Hua Li, Qi Zhang, Yongheng Dai, Qun Tian, Guoren Wang |
| 2022 | Farming Your ML-based Query Optimizer's Food. Robin Van De Water, Francesco Ventura, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Volker Markl |
| 2022 | Fast Adaptive Similarity Search through Variance-Aware Quantization. John Paparrizos, Ikraduya Edian, Chunwei Liu, Aaron J. Elmore, Michael J. Franklin |
| 2022 | Fast Error-Bounded Distance Distribution Computation (Extended Abstract). Jiahao Zhang, Man Lung Yiu, Bo Tang, Qing Li |
| 2022 | Fast Reachability Queries Answering based on RCN Reduction (Extended abstract). Junfeng Zhou, Jeffrey Xu Yu, Yaxian Qiu, Xian Tang, Ziyang Chen, Ming Du |
| 2022 | Feature Augmentation with Reinforcement Learning. Jiabin Liu, Chengliang Chai, Yuyu Luo, Yin Lou, Jianhua Feng, Nan Tang |
| 2022 | FedADMM: A Robust Federated Deep Learning Framework with Adaptivity to System Heterogeneity. Yonghai Gong, Yichuan Li, Nikolaos M. Freris |
| 2022 | FedMP: Federated Learning through Adaptive Model Pruning in Heterogeneous Edge Computing. Zhida Jiang, Yang Xu, Hongli Xu, Zhiyuan Wang, Chunming Qiao, Yangming Zhao |
| 2022 | FedRecAttack: Model Poisoning Attack to Federated Recommendation. Dazhong Rong, Shuai Ye, Ruoyan Zhao, Hon Ning Yuen, Jianhai Chen, Qinming He |
| 2022 | Federated Learning on Non-IID Data Silos: An Experimental Study. Qinbin Li, Yiqun Diao, Quan Chen, Bingsheng He |
| 2022 | Field-aware Variational Autoencoders for Billion-scale User Representation Learning. Ge Fan, Chaoyun Zhang, Junyang Chen, Baopu Li, Zenglin Xu, Yingjie Li, Luyu Peng, Zhiguo Gong |
| 2022 | Finding Critical Users in Social Communities via Graph Convolutions (Extended Abstract). Kangfei Zhao, Zhiwei Zhang, Yu Rong, Jeffrey Xu Yu, Junzhou Huang |
| 2022 | Finding Top-r Influential Communities under Aggregation Functions. You Peng, Song Bian, Rui Li, Sibo Wang, Jeffrey Xu Yu |
| 2022 | Fluid: Dataset Abstraction and Elastic Acceleration for Cloud-native Deep Learning Training Jobs. Rong Gu, Kai Zhang, Zhihao Xu, Yang Che, Bin Fan, Haojun Hou, Haipeng Dai, Li Yi, Yu Ding, Guihai Chen, Yihua Huang |
| 2022 | Frequency Estimation in Data Streams: Learning the Optimal Hashing Scheme (Extended Abstract). Dimitris Bertsimas, Vassilis Digalakis |
| 2022 | Frequency-based Randomization for Guaranteeing Differential Privacy in Spatial Trajectories. Fengmei Jin, Wen Hua, Boyu Ruan, Xiaofang Zhou |
| 2022 | From Batch Processing to Real Time Analytics: Running Presto® at Scale. Zhenxiao Luo, Lu Niu, Venki Korukanti, Yutian Sun, Masha Basmanova, Yi He, Beinan Wang, Devesh Agrawal, Hao Luo, Chunxu Tang, Ashish Singh, Yao Li, Peng Du, Girish Baliga, Maosong Fu |
| 2022 | GECCO: Constraint-driven Abstraction of Low-level Event Logs. Adrian Rebmann, Matthias Weidlich, Han van der Aa |
| 2022 | GPU-accelerated Proximity Graph Approximate Nearest Neighbor Search and Construction. Yuanhang Yu, Dong Wen, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin |
| 2022 | GQP: A Framework for Scalable and Effective Graph Query-based Pricing. Chen Chen, Ye Yuan, Zhenyu Wen, Guoren Wang, Anteng Li |
| 2022 | GX-Plug: a Middleware for Plugging Accelerators to Distributed Graph Processing. Kai Zou, Xike Xie, Qi Li, Deyu Kong |
| 2022 | Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce. Borui Ye, Shuo Yang, Binbin Hu, Zhiqiang Zhang, Youqiang He, Kai Huang, Jun Zhou, Yanming Fang |
| 2022 | GloDyNE: Global Topology Preserving Dynamic Network Embedding (Extended Abstract). Chengbin Hou, Han Zhang, Shan He, Ke Tang |
| 2022 | Graph-Driven Federated Data Management (Extended Abstract). Sergi Nadal, Alberto Abelló, Oscar Romero, Stijn Vansummeren, Panos Vassiliadis |
| 2022 | GridTuner: Reinvestigate Grid Size Selection for Spatiotemporal Prediction Models. Jiabao Jin, Peng Cheng, Lei Chen, Xuemin Lin, Wenjie Zhang |
| 2022 | Grow-and-Clip: Informative-yet-Concise Evidence Distillation for Answer Explanation. Yuyan Chen, Yanghua Xiao, Bang Liu |
| 2022 | Guided Task Planning Under Complex Constraints. Sepideh Nikookar, Paras Sakharkar, Baljinder Smagh, Sihem Amer-Yahia, Senjuti Basu Roy |
| 2022 | HET-KG: Communication-Efficient Knowledge Graph Embedding Training via Hotness-Aware Cache. Sicong Dong, Xupeng Miao, Pengkai Liu, Xin Wang, Bin Cui, Jianxin Li |
| 2022 | Hierarchical Core Decomposition in Parallel: From Construction to Subgraph Search. Deming Chu, Fan Zhang, Wenjie Zhang, Xuemin Lin, Ying Zhang |
| 2022 | Hierarchical Representation Learning for Attributed Networks. Shu Zhao, Ziwei Du, Jie Chen, Yanping Zhang, Jie Tang, Philip S. Yu |
| 2022 | Highly Efficient String Similarity Search and Join over Compressed Indexes. Guorui Xiao, Jin Wang, Chunbin Lin, Carlo Zaniolo |
| 2022 | Horae: A Graph Stream Summarization Structure for Efficient Temporal Range Query. Ming Chen, Renxiang Zhou, Hanhua Chen, Jiang Xiao, Hai Jin, Bo Li |
| 2022 | How Learning Can Help Complex Cyclic Join Decomposition. Hao Zhang, Qiyan Li, Kangfei Zhao, Jeffrey Xu Yu, Yuanyuan Zhu |
| 2022 | How Much Storage Do We Need for High Performance Server. Jia Wei, Xingjun Zhang |
| 2022 | How, Where, and Why Data Provenance Improves Query Debugging: A Visual Demonstration of Fine-Grained Provenance Analysis for SQL. Tobias Müller, Pascal Engel |
| 2022 | Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented and Distributed Multi-Agent Deep Reinforcement Learning. Yu Wang, Chi Harold Liu, Chengzhe Piao, Ye Yuan, Rui Han, Guoren Wang, Jian Tang |
| 2022 | Hybrid Subgraph Matching Framework Powered by Sketch Tree for Distributed Systems. Yuejia Zhang, Weiguo Zheng, Zhijie Zhang, Peng Peng, Xuecang Zhang |
| 2022 | HybridGNN: Learning Hybrid Representation for Recommendation in Multiplex Heterogeneous Networks. Tiankai Gu, Chaokun Wang, Cheng Wu, Yunkai Lou, Jingcao Xu, Changping Wang, Kai Xu, Can Ye, Yang Song |
| 2022 | IKAROS: An Indoor Keyword-Aware Routing System. Tiantian Liu, Zijin Feng, Huan Li, Hua Lu, Lidan Shou, Jianliang Xu |
| 2022 | IPS: Instance Profile for Shapelet Discovery for Time Series Classification. GuoZhong Li, Byron Choi, Jianliang Xu, Sourav S. Bhowmick, Daphne Ngar-yin Mah, Grace Lai-Hung Wong |
| 2022 | Identification for Deep Neural Network: Simply Adjusting Few Weights! Yingjie Lao, Peng Yang, Weijie Zhao, Ping Li |
| 2022 | Improving Fairness for Data Valuation in Horizontal Federated Learning. Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Changxin Liu, Yong Zhang |
| 2022 | Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling. Sian Jin, Sheng Di, Jiannan Tian, Suren Byna, Dingwen Tao, Franck Cappello |
| 2022 | Index-based Structural Clustering on Directed Graphs. Lingkai Meng, Long Yuan, Zi Chen, Xuemin Lin, Shiyu Yang |
| 2022 | Influence-aware Task Assignment in Spatial Crowdsourcing. Xuanhao Chen, Yan Zhao, Kai Zheng, Bin Yang, Christian S. Jensen |
| 2022 | Intent Mining: A Social and Semantic Enhanced Topic Model for Operation-Friendly Digital Marketing. Weifan Wang, Xiaocheng Cheng, Ziqi Liu, Yu Lin, Yue Shen, Binbin Hu, Zhiqiang Zhang, Xiaodong Zeng, Jun Zhou, Jinjie Gu, Minnan Luo |
| 2022 | Jarvis: Large-scale Server Monitoring with Adaptive Near-data Processing. Atul Sandur, Chanho Park, Stavros Volos, Gul Agha, Myeongjae Jeon |
| 2022 | Joint Evidential $K$-Nearest Neighbor Classification. Chaoyu Gong, Yongbin Li, Yong Liu, Pei-hong Wang, Yang You |
| 2022 | Knowledge Enhanced Person-Job Fit for Talent Recruitment. Kaichun Yao, Jingshuai Zhang, Chuan Qin, Peng Wang, Hengshu Zhu, Hui Xiong |
| 2022 | LAN: Learning-based Approximate k-Nearest Neighbor Search in Graph Databases. Yun Peng, Byron Choi, Tsz Nam Chan, Jianliang Xu |
| 2022 | Language-aware Indexing for Conjunctive Path Queries. Yuya Sasaki, George Fletcher, Makoto Onizuka |
| 2022 | Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-aware Deep Architecture (Extended Abstract). Xupeng Miao, Wentao Zhang, Yingxia Shao, Bin Cui, Lei Chen, Ce Zhang, Jiawei Jiang |
| 2022 | Learning Evolvable Time-series Shapelets. Akihiro Yamaguchi, Ken Ueno, Hisashi Kashima |
| 2022 | Learning Graph Convolutional Networks based on Quantum Vertex Information Propagation (Extended Abstract). Lu Bai, Yuhang Jiao, Lixin Cui, Luca Rossi, Yue Wang, Philip S. Yu, Edwin R. Hancock |
| 2022 | Learning What You Need from What You Did: Product Taxonomy Expansion with User Behaviors Supervision. Sijie Cheng, Zhouhong Gu, Bang Liu, Rui Xie, Wei Wu, Yanghua Xiao |
| 2022 | Linking Entities across Relations and Graphs. Wenfei Fan, Liang Geng, Ruochun Jin, Ping Lu, Resul Tugay, Wenyuan Yu |
| 2022 | Local Clustering over Labeled Graphs: An Index-Free Approach. Yudong Niu, Yuchen Li, Ju Fan, Zhifeng Bao |
| 2022 | MAD-SGCN: Multivariate Anomaly Detection with Self-learning Graph Convolutional Networks. Panpan Qi, Dan Li, See-Kiong Ng |
| 2022 | MANI-Rank: Multiple Attribute and Intersectional Group Fairness for Consensus Ranking. Kathleen Cachel, Elke A. Rundensteiner, Lane Harrison |
| 2022 | MDZ: An Efficient Error-bounded Lossy Compressor for Molecular Dynamics. Kai Zhao, Sheng Di, Danny Perez, Xin Liang, Zizhong Chen, Franck Cappello |
| 2022 | MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction. Wei Guo, Can Zhang, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang |
| 2022 | MOSE: A Monotonic Selectivity Estimator Using Learned CDF (Extended abstract). Luming Sun, Cuiping Li, Tao Ji, Hong Chen |
| 2022 | MPC: Minimum Property-Cut RDF Graph Partitioning. Peng Peng, M. Tamer Özsu, Lei Zou, Cen Yan, Chengjun Liu |
| 2022 | Machine Learning for Data Management: A System View. Guoliang Li, Xuanhe Zhou |
| 2022 | Manipulating Structural Graph Clustering. Wentao Li, Min Gao, Dong Wen, Hongwei Zhou, Cai Ke, Lu Qin |
| 2022 | Maximal Balanced Signed Biclique Enumeration in Signed Bipartite Graphs. Renjie Sun, Yanping Wu, Chen Chen, Xiaoyang Wang, Wenjie Zhang, Xuemin Lin |
| 2022 | Maximal Directed Quasi -Clique Mining. Guimu Guo, Da Yan, Lyuheng Yuan, Jalal Khalil, Cheng Long, Zhe Jiang, Yang Zhou |
| 2022 | Maximizing Range Sum in Trajectory Data. Kaiqi Zhang, Hong Gao, Xixian Han, Jian Chen, Jianzhong Li |
| 2022 | Maximizing Time-aware Welfare for Mixed Items. Xiaoye Miao, Huanhuan Peng, Kai Chen, Yuchen Peng, Yunjun Gao, Jianwei Yin |
| 2022 | Maximum Biplex Search over Bipartite Graphs. Wensheng Luo, Kenli Li, Xu Zhou, Yunjun Gao, Keqin Li |
| 2022 | Maximum Signed $\theta$-Clique Identification in Large Signed Graphs (Extended abstract). Chen Chen, Yanping Wu, Renjie Sun, Xiaoyang Wang |
| 2022 | Memorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR Prediction. Fuyuan Lyu, Xing Tang, Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang, Xue Liu |
| 2022 | Micro-Behavior Encoding for Session-based Recommendation. Jiahao Yuan, Wendi Ji, Dell Zhang, Jinwei Pan, Xiaoling Wang |
| 2022 | Mixing Transactions with Arbitrary Values on Blockchains. Wangze Ni, Peng Cheng, Lei Chen |
| 2022 | Multi-Dimensional Randomized Response. Josep Domingo-Ferrer, Jordi Soria-Comas |
| 2022 | Multi-Task Learning with Calibrated Mixture of Insightful Experts. Sinan Wang, Yumeng Li, Hongyan Li, Tanchao Zhu, Zhao Li, Wenwu Ou |
| 2022 | Multiset Membership Lookup in Large Datasets (Extended abstract). Lin Chen, Jihong Yu |
| 2022 | Near Data Processing in Taurus Database. Shu Lin, Arunprasad P. Marathe, Per-Åke Larson, Chong Chen, Calvin Sun, Paul Lee, Weidong Yu, Jianwei Li, Juncai Meng, Roulin Lin, Xiaoyang Chen, Qingping Zhu |
| 2022 | Neighbor-Anchoring Adversarial Graph Neural Networks (Extended Abstract). Zemin Liu, Yuan Fang, Yong Liu, Vincent W. Zheng |
| 2022 | Network Alignment with Holistic Embeddings (Extended Abstract). Thanh Trung Huynh, Duong Chi Thang, Thanh Tam Nguyen, Van Vinh Tong, Abdul Sattar, Hongzhi Yin, Quoc Viet Hung Nguyen |
| 2022 | Novel Methods for Aggregating Analyst Estimates. Kheng Kua |
| 2022 | Nucleus Decomposition in Probabilistic Graphs: Hardness and Algorithms. Fatemeh Esfahani, Venkatesh Srinivasan, Alex Thomo, Kui Wu |
| 2022 | ODNET: A Novel Personalized Origin-Destination Ranking Network for Flight Recommendation. Jia Xu, Jin Huang, Zulong Chen, Yang Li, Wanjie Tao, Chuanfei Xu |
| 2022 | OLxPBench: Real-time, Semantically Consistent, and Domain-specific are Essential in Benchmarking, Designing, and Implementing HTAP Systems. Guoxin Kang, Lei Wang, Wanling Gao, Fei Tang, Jianfeng Zhan |
| 2022 | On Compressing Temporal Graphs. Panagiotis Liakos, Katia Papakonstantinopoulou, Theodore Stefou, Alex Delis |
| 2022 | On Efficient Large Maximal Biplex Discovery (Extended abstract). Kaiqiang Yu, Cheng Long, Deepak P, Tanmoy Chakraborty |
| 2022 | On Maximising the Vertex Coverage for Top-k t-Bicliques in Bipartite Graphs. Aman Abidi, Lu Chen, Chengfei Liu, Rui Zhou |
| 2022 | On Time-optimal (k, p)-core Community Search in Dynamic Graphs. Zhao Lu, Yuanyuan Zhu, Ming Zhong, Jeffrey Xu Yu |
| 2022 | On inter-operator data transfers in query processing. Harshad Deshmukh, Bruhathi Sundarmurthy, Jignesh M. Patel |
| 2022 | On the Fairness of Time-Critical Influence Maximization in Social Networks (Extended Abstract). Junaid Ali, Mahmoudreza Babaei, Abhijnan Chakraborty, Baharan Mirzasoleiman, Krishna P. Gummadi, Adish Singla |
| 2022 | Online Cardinality Estimation by Self-morphing Bitmaps. Haibo Wang, Chaoyi Ma, Shigang Chen, Yuanda Wang |
| 2022 | Out-of-Core Edge Partitioning at Linear Run-Time. Ruben Mayer, Kamil Orujzade, Hans-Arno Jacobsen |
| 2022 | PAW: Data Partitioning Meets Workload Variance. Zhe Li, Man Lung Yiu, Tsz Nam Chan |
| 2022 | PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems. Yuanxing Zhang, Langshi Chen, Siran Yang, Man Yuan, Huimin Yi, Jie Zhang, Jiamang Wang, Jianbo Dong, Yunlong Xu, Yue Song, Yong Li, Di Zhang, Wei Lin, Lin Qu, Bo Zheng |
| 2022 | PRISM: Prefix-Sum based Range Queries Processing Method under Local Differential Privacy. Yufei Wang, Xiang Cheng |
| 2022 | PSP: Progressive Space Pruning for Efficient Graph Neural Architecture Search. Guanghui Zhu, Wenjie Wang, Zhuoer Xu, Feng Cheng, Mengchuan Qiu, Chunfeng Yuan, Yihua Huang |
| 2022 | PeriodicSketch: Finding Periodic Items in Data Streams. Zhuochen Fan, Yinda Zhang, Tong Yang, Mingyi Yan, Gang Wen, Yuhan Wu, Hongze Li, Bin Cui |
| 2022 | Personalized Graph Summarization: Formulation, Scalable Algorithms, and Applications. Shinhwan Kang, Kyuhan Lee, Kijung Shin |
| 2022 | PinSQL: Pinpoint Root Cause SQLs to Resolve Performance Issues in Cloud Databases. Xiaoze Liu, Zheng Yin, Chao Zhao, Congcong Ge, Lu Chen, Yunjun Gao, Dimeng Li, Ziting Wang, Gaozhong Liang, Jian Tan, Feifei Li |
| 2022 | Pixels: An Efficient Column Store for Cloud Data Lakes. Haoqiong Bian, Anastasia Ailamaki |
| 2022 | Platform-Oriented Event Time Allocation(Extended Abstract). Heli Sun, Ning Wang, Jingyu Jia, Jianbin Huang, Hui Xiong, Liang He, Xinwang Liu, Shan Zhang, Shaojie Qiao, Jizhong Zhao |
| 2022 | PolarDB-X: An Elastic Distributed Relational Database for Cloud-Native Applications. Wei Cao, Feifei Li, Gui Huang, Jianghang Lou, Jianwei Zhao, Dengcheng He, Mengshi Sun, Yingqiang Zhang, Sheng Wang, Xueqiang Wu, Han Liao, Zilin Chen, Xiaojian Fang, Mo Chen, Chenghui Liang, Yanxin Luo, Huanming Wang, Songlei Wang, Zhanfeng Ma, Xinjun Yang, Xiang Peng, Yubin Ruan, Yuhui Wang, Jie Zhou, Jianying Wang, Qingda Hu, Junbin Kang |
| 2022 | Polynesia: Enabling High-Performance and Energy-Efficient Hybrid Transactional/Analytical Databases with Hardware/Software Co-Design. Amirali Boroumand, Saugata Ghose, Geraldo F. Oliveira, Onur Mutlu |
| 2022 | Prediction Intervals for Learned Cardinality Estimation: An Experimental Evaluation. Saravanan Thirumuruganathan, Suraj Shetiya, Nick Koudas, Gautam Das |
| 2022 | Privacy-Preserving Collaborative Filtering Using Fully Homomorphic Encryption. Seiya Jumonji, Kazuya Sakai, Min-Te Sun, Wei-Shinn Ku |
| 2022 | Provenance in Temporal Interaction Networks. Chrysanthi Kosyfaki, Nikos Mamoulis |
| 2022 | Provenance-aware Discovery of Functional Dependencies on Integrated Views. Ugo Comignani, Laure Berti-Équille, Noël Novelli, Angela Bonifati |
| 2022 | Querying Maximum Quasi-independent Set by Pay-and-Recycle. Xiaochen Liu, Weiguo Zheng, Zhenyi Chen, Zhenying He, X. Sean Wang |
| 2022 | RW-Tree: A Learned Workload-aware Framework for R-tree Construction. Haowen Dong, Chengliang Chai, Yuyu Luo, Jiabin Liu, Jianhua Feng, Chaoqun Zhan |
| 2022 | Rank-Regret Minimization. Xingxing Xiao, Jianzhong Li |
| 2022 | Ranked Window Query Retrieval over Video Repositories. Yueting Chen, Xiaohui Yu, Nick Koudas |
| 2022 | Reachability Labeling for Distributed Graphs. Junhua Zhang, Wentao Li, Lu Qin, Ying Zhang, Dong Wen, Lizhen Cui, Xuemin Lin |
| 2022 | Reachability-Driven Influence Maximization in Time-dependent Road-social Networks. Yishu Wang, Ye Yuan, Wenjie Zhang, Yi Zhang, Xuemin Lin, Guoren Wang |
| 2022 | Recurrent Learning on $\text{PM}_{2.5}$ Prediction Based on Clustered Airbox Dataset: Extended Abstract. Chia-Yu Lo, Wen-Hsing Huang, Ming-Feng Ho, Min-Te Sun, Ling-Jyh Chen, Kazuya Sakai, Wei-Shinn Ku |
| 2022 | Reducing Write Amplification of LSM-Tree with Block-Grained Compaction. Xiaoliang Wang, Peiquan Jin, Bei Hua, Hai Long, Wei Huang |
| 2022 | Regular Path Query Evaluation Sharing a Reduced Transitive Closure Based on Graph Reduction. Inju Na, Yang-Sae Moon, Ilyeop Yi, Kyu-Young Whang, Soon J. Hyun |
| 2022 | Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching. Hanchen Wang, Ying Zhang, Lu Qin, Wei Wang, Wenjie Zhang, Xuemin Lin |
| 2022 | Reliable Community Search on Uncertain Graphs. Xiaoye Miao, Yue Liu, Lu Chen, Yunjun Gao, Jianwei Yin |
| 2022 | Robust Attributed Network Embedding Preserving Community Information. Yunfei Liu, Zhen Liu, Xiaodong Feng, Zhongyi Li |
| 2022 | Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection. Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Yan Zhao, Feiteng Huang, Kai Zheng |
| 2022 | RobustScaler: QoS-Aware Autoscaling for Complex Workloads. Huajie Qian, Qingsong Wen, Liang Sun, Jing Gu, Qiulin Niu, Zhimin Tang |
| 2022 | Rule Learning over Knowledge Graphs with Genetic Logic Programming. Lianlong Wu, Emanuel Sallinger, Evgeny Sherkhonov, Sahar Vahdati, Georg Gottlob |
| 2022 | S-QUERY: Opening the Black Box of Internal Stream Processor State. Jim Verheijde, Vassilios Karakoidas, Marios Fragkoulis, Asterios Katsifodimos |
| 2022 | SCPM-CR: A Novel Method for Spatial Co-location Pattern Mining with Coupling Relation Consideration. Peizhong Yang, Lizhen Wang, Xiaoxuan Wang, Lihua Zhou |
| 2022 | SEFrame: An SGX-enhanced Smart Contract Execution Framework for Permissioned Blockchain. Min Fang, Xinna Zhou, Zhao Zhang, Cheqing Jin, Aoying Zhou |
| 2022 | SLUGGER: Lossless Hierarchical Summarization of Massive Graphs. Kyuhan Lee, Jihoon Ko, Kijung Shin |
| 2022 | SPADE: GPU-Powered Spatial Database Engine for Commodity Hardware. Harish Doraiswamy, Juliana Freire |
| 2022 | SPES: A Symbolic Approach to Proving Query Equivalence Under Bag Semantics. Qi Zhou, Joy Arulraj, Shamkant B. Navathe, William Harris, Jinpeng Wu |
| 2022 | SaPHyRa: A Learning Theory Approach to Ranking Nodes in Large Networks. Phuc Thai, My T. Thai, Tam Vu, Thang N. Dinh |
| 2022 | Salvaging failing and straggling queries. Bruhathi Sundarmurthy, Harshad Deshmukh, Paris Koutris, Jeffrey F. Naughton |
| 2022 | Samba: A System for Secure Federated Multi-Armed Bandits. Gaël Marcadet, Radu Ciucanu, Pascal Lafourcade, Marta Soare, Sihem Amer-Yahia |
| 2022 | Scalable Motif Counting for Large-scale Temporal Graphs. Zhongqiang Gao, Chuanqi Cheng, Yanwei Yu, Lei Cao, Chao Huang, Junyu Dong |
| 2022 | ScaleG: A Distributed Disk-based System for Vertex-centric Graph Processing (Extended Abstract). Xubo Wang, Dong Wen, Lu Qin, Lijun Chang, Wenjie Zhang |
| 2022 | Scape: Scalable Collaborative Analytics System on Private Database with Malicious Security. Feng Han, Lan Zhang, Hanwen Feng, Weiran Liu, Xiang-Yang Li |
| 2022 | Self-Supervised Dual-Channel Attentive Network for Session-based Social Recommendation. Liuyin Wang, Xianghong Xu, Kai Ouyang, Huanzhong Duan, Yanxiong Lu, Hai-Tao Zheng |
| 2022 | Self-reconstructive evidential clustering for high-dimensional data. Chaoyu Gong, Yongbin Liu, Di Fu, Yong Liu, Pei-hong Wang, Yang You |
| 2022 | Semantics Driven Embedding Learning for Effective Entity Alignment. Ziyue Zhong, Meihui Zhang, Ju Fan, Chenxiao Dou |
| 2022 | Separation or Not: On Handing Out-of-Order Time-Series Data in Leveled LSM-Tree. Yuyuan Kang, Xiangdong Huang, Shaoxu Song, Lingzhe Zhang, Jialin Qiao, Chen Wang, Jianmin Wang, Julian Feinauer |
| 2022 | Set-aware Entity Synonym Discovery with Flexible Receptive Fields (Extended Abstract). Shichao Pei, Lu Yu, Xiangliang Zhang |
| 2022 | Social Graph Restoration via Random Walk Sampling. Kazuki Nakajima, Kazuyuki Shudo |
| 2022 | Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction. Zhonghang Li, Chao Huang, Lianghao Xia, Yong Xu, Jian Pei |
| 2022 | Spatial-Temporal Interval Aware Sequential POI Recommendation. En Wang, Yiheng Jiang, Yuanbo Xu, Liang Wang, Yongjian Yang |
| 2022 | Stable Community Detection in Signed Social Networks (Extended abstract). Renjie Sun, Chen Chen, Xiaoyang Wang, Xun Wang |
| 2022 | Streaming Algorithms for Diversity Maximization with Fairness Constraints. Yanhao Wang, Francesco Fabbri, Michael Mathioudakis |
| 2022 | Subgraph Query Generation with Fairness and Diversity Constraints. Hanchao Ma, Sheng Guan, Mengying Wang, Yen-Shuo Chang, Yinghui Wu |
| 2022 | Subspace Embedding Based New Paper Recommendation. Yi Xie, Wen Li, Yuqing Sun, Elisa Bertino, Bin Gong |
| 2022 | Synthesizing Privacy Preserving Entity Resolution Datasets. Xuedi Qin, Chengliang Chai, Nan Tang, Jian Li, Yuyu Luo, Guoliang Li, Yaoyu Zhu |
| 2022 | T-Detector: A Trajectory based Pre-trained Model for Game Bot Detection in MMORPGs. Sha Zhao, Junwei Fang, Shiwei Zhao, Runze Wu, Jianrong Tao, Shijian Li, Gang Pan |
| 2022 | TMN: Trajectory Matching Networks for Predicting Similarity. Peilun Yang, Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Wenjie Zhang |
| 2022 | TSPLIT: Fine-grained GPU Memory Management for Efficient DNN Training via Tensor Splitting. Xiaonan Nie, Xupeng Miao, Zhi Yang, Bin Cui |
| 2022 | TeGraph: A Novel General-Purpose Temporal Graph Computing Engine. Chengying Huan, Hang Liu, Mengxing Liu, Yongchao Liu, Changhua He, Kang Chen, Jinlei Jiang, Yongwei Wu, Shuaiwen Leon Song |
| 2022 | Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation. Jiayuan Ding, Tong Xiang, Zijing Ou, Wangyang Zuo, Ruihui Zhao, Chenghua Lin, Yefeng Zheng, Bang Liu |
| 2022 | Temporal Network Motifs: Models, Limitations, Evaluation (Extended abstract). Penghang Liu, Valerio Guarrasi, Ahmet Erdem Sariyüce |
| 2022 | Temporal Regular Path Queries. Marcelo Arenas, Pedro Bahamondes, Amir Aghasadeghi, Julia Stoyanovich |
| 2022 | The Stair Sketch: Bringing more Clarity to Memorize Recent Events. Yikai Zhao, Yubo Zhang, Pu Yi, Tong Yang, Bin Cui, Steve Uhlig |
| 2022 | Time Series Anomaly Detection Toolkit for Data Scientist. Dhaval Patel, Dzung Phan, Markus Mueller |
| 2022 | Time- and Space-Efficient Regular Path Queries. Diego Arroyuelo, Aidan Hogan, Gonzalo Navarro, Javiel Rojas-Ledesma |
| 2022 | Time-sensitive POI Recommendation by Tensor Completion with Side Information. Bo Hui, Da Yan, Haiquan Chen, Wei-Shinn Ku |
| 2022 | Toward Responsive DBMS: Optimal Join Algorithms, Enumeration, Factorization, Ranking, and Dynamic Programming. Nikolaos Tziavelis, Wolfgang Gatterbauer, Mirek Riedewald |
| 2022 | Towards Backdoor Attack on Deep Learning based Time Series Classification. Daizong Ding, Mi Zhang, Yuanmin Huang, Xudong Pan, Fuli Feng, Erling Jiang, Min Yang |
| 2022 | Towards Real-Time Counting Shortest Cycles on Dynamic Graphs: A Hub Labeling Approach. Qingshuai Feng, You Peng, Wenjie Zhang, Ying Zhang, Xuemin Lin |
| 2022 | Towards Spatio- Temporal Aware Traffic Time Series Forecasting. Razvan-Gabriel Cirstea, Bin Yang, Chenjuan Guo, Tung Kieu, Shirui Pan |
| 2022 | Tower Bridge Net (TB-Net): Bidirectional Knowledge Graph Aware Embedding Propagation for Explainable Recommender Systems. Shendi Wang, Haoyang Li, Caleb Chen Cao, Xiao-Hui Li, Ng Ngai Fai, Jianxin Liu, Xun Xue, Hu Song, Jinyu Li, Guangye Gu, Lei Chen |
| 2022 | TraSS: Efficient Trajectory Similarity Search Based on Key-Value Data Stores. Huajun He, Ruiyuan Li, Sijie Ruan, Tianfu He, Jie Bao, Tianrui Li, Yu Zheng |
| 2022 | Triple-Fact Retriever: An explainable reasoning retrieval model for multi-hop QA problem. Chengmin Wu, Enrui Hu, Ke Zhan, Lan Luo, Xinyu Zhang, Hao Jiang, Qirui Wang, Zhao Cao, Fan Yu, Lei Chen |
| 2022 | TwiCS: Twitter Stream Entity Mention Detection (Extended Abstract). Satadisha Saha Bhowmick, Eduard C. Dragut, Weiyi Meng |
| 2022 | Ubiquitous Verification in Centralized Ledger Database. Xinying Yang, Sheng Wang, Feifei Li, Yuan Zhang, Wenyuan Yan, Fangyu Gai, Benquan Yu, Likai Feng, Qun Gao, Yize Li |
| 2022 | Unified and Incremental SimRank: Index-free Approximation with Scheduled Principle (Extended Abstract). Fanwei Zhu, Yuan Fang, Kai Zhang, Kevin Chen-Chuan Chang, Hongtai Cao, Zhen Jiang, Minghui Wu |
| 2022 | Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning (Extended Abstract). Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang |
| 2022 | Unsupervised Matching of Data and Text. Naser Ahmadi, Hansjorg Sand, Paolo Papotti |
| 2022 | Utility Analysis and Enhancement of LDP Mechanisms in High-Dimensional Space. Jiawei Duan, Qingqing Ye, Haibo Hu |
| 2022 | VC-Tune: Tuning and Exploring Distributed Vertex-Centric Graph Systems. Zichen Zhu, Siqiang Luo, Xiaokui Xiao, Yin Yang, Dingheng Mo, Yufei Han |
| 2022 | VICS-GNN: A Visual Interactive System for Community Search via Graph Neural Network. Jiazun Chen, Jun Gao |
| 2022 | Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning. Sean Bin Yang, Chenjuan Guo, Jilin Hu, Bin Yang, Jian Tang, Christian S. Jensen |
| 2022 | When is Early Classification of Time Series Meaningful? (Extended Abstract). Renjie Wu, Audrey Der, Eamonn J. Keogh |
| 2022 | Who Should Deserve Investment? Attractive Individual and Group Search in Dynamic Information Networks (Extended Abstract). Xinrui Wang, Hong Gao, Zhipeng Cai, Jianzhong Li |
| 2022 | Workload-Aware Shortest Path Distance Querying in Road Networks. Bolong Zheng, Jingyi Wan, Yongyong Gao, Yong Ma, Kai Huang, Xiaofang Zhou, Christian S. Jensen |
| 2022 | XTree: Traversal-Based Partitioning for Extreme-Scale Graph Processing on Supercomputers. Xinbiao Gan, Yiming Zhang, Ruigeng Zeng, Jie Liu, Ruibo Wang, Tiejun Li, Li Chen, Kai Lu |
| 2022 | Zoomer: Boosting Retrieval on Web-scale Graphs by Regions of Interest. Yuezihan Jiang, Yu Cheng, Hanyu Zhao, Wentao Zhang, Xupeng Miao, Yu He, Liang Wang, Zhi Yang, Bin Cui |
| 2022 | abcOD: Mining Band Order Dependencies. Pei Li, Jessica Jessica, Naida Tania, Michael H. Böhlen, Divesh Srivastava, Jaroslaw Szlichta |
| 2022 | exRumourLens: Auditable Rumour Detection with Multi-View Explanations. Thanh Cong Phan, Thanh Tam Nguyen, Matthias Weidlich, Hongzhi Yin, Jun Jo, Quoc Viet Hung Nguyen |
| 2022 | iTemporal: An Extensible Generator of Temporal Benchmarks. Luigi Bellomarini, Markus Nissl, Emanuel Sallinger |
| 2022 | imDedup: A Lossless Deduplication Scheme to Eliminate Fine-grained Redundancy among Images. Cai Deng, Qi Chen, Xiangyu Zou, Erci Xu, Bo Tang, Wen Xia |
| 2022 | k-Pleased Querying (Extended Abstract). Zitong Chen, Ada Wai-Chee Fu, Cheng Long, Yang Wu |
| 2022 | minIL: A Simple and Small Index for String Similarity Search with Edit Distance. Zhong Yang, Bolong Zheng, Xianzhi Wang, Guohui Li, Xiaofang Zhou |
| 2022 | neoDBMS: In-situ Snapshots for Multi-Version DBMS on Native Computational Storage. Arthur Bernhardt, Sajjad Tamimi, Tobias Vinçon, Christian Knödler, Florian Stock, Carsten Heinz, Andreas Koch, Ilia Petrov |
| 2022 | vChain+: Optimizing Verifiable Blockchain Boolean Range Queries. Haixin Wang, Cheng Xu, Ce Zhang, Jianliang Xu, Zhe Peng, Jian Pei |