Panos Kalnis - RankMe

163 papers A* 27A 9B 18C 4Misc 2Journal 80Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accurate Split Learning on Noisy Signals. Trans. Mach. Learn. Res. Hang Xu, Subhajit Maity, Aritra Dutta, Xin Li, Panos Kalnis
2026	J	`jnl`	CHESS: Context-aware Hierarchical Efficient Semantic Selection for Long-Context LLM Inference. CoRR Chao Fei, GuoZhong Li, Chenxi Liu, Panos Kalnis
2026	—	`conf`	Leveraging LLM-GNN Integration for Open-World Question Answering over Knowledge Graphs. EACL (Volume 1: Long Papers) Hussein Abdallah, Ibrahim Abdelaziz, Panos Kalnis, Essam Mansour
2025	—	`conf`	Beyond Locations: A Motion Range-Aware Similarity Join. KDD (2) Ke Li, Lisi Chen, Shuo Shang, Christian S. Jensen, Panos Kalnis
2025	J	`jnl`	Chatty-KG: A Multi-Agent AI System for On-Demand Conversational Question Answering over Knowledge Graphs. CoRR Reham Omar, Abdelghny Orogat, Ibrahim Abdelaziz, Omij Mangukiya, Panos Kalnis, Essam Mansour
2025	B	`conf`	Comprehending Spatio-temporal Data via Cinematic Storytelling using Large Language Models. SSTD Panos Kalnis, Shuo Shang, Christian S. Jensen
2025	J	`jnl`	Comprehending Spatio-temporal Data via Cinematic Storytelling using Large Language Models. CoRR Panos Kalnis, Shuo Shang, Christian S. Jensen
2025	J	`jnl`	Editorial High-Performance Recommender Systems Based on Spatiotemporal Data. IEEE Trans. Big Data Shuo Shang, Qi Liu, Renhe Jiang, Ryosuke Shibasaki, Panos Kalnis, Christian S. Jensen
2025	J	`jnl`	GraphComp: Extreme Error-bounded Compression of Scientific Data via Temporal Graph Autoencoders. CoRR GuoZhong Li, Muhannad Alhumaidi, Spiros Skiadopoulos, Ibrahim Hoteit, Panos Kalnis
2025	B	`conf`	LLMCOMP: A Language Modeling Paradigm for Error-Bounded Scientific Data Compression. IEEE Big Data GuoZhong Li, Muhannad Alhumaidi, Spiros Skiadopoulos, Panos Kalnis
2025	J	`jnl`	LLMComp: A Language Modeling Paradigm for Error-Bounded Scientific Data Compression. CoRR GuoZhong Li, Muhannad Alhumaidi, Spiros Skiadopoulos, Panos Kalnis
2025	B	`conf`	LLMs Meet Cross-Modal Time Series Analytics: Overview and Directions. SSTD Chenxi Liu, Hao Miao, Cheng Long, Yan Zhao, Ziyue Li, Panos Kalnis
2025	J	`jnl`	LLMs Meet Cross-Modal Time Series Analytics: Overview and Directions. CoRR Chenxi Liu, Hao Miao, Cheng Long, Yan Zhao, Ziyue Li, Panos Kalnis
2025	J	`jnl`	Next Point-of-Interest Recommendation With Adaptive Graph Contrastive Learning. IEEE Trans. Knowl. Data Eng. Xuan Rao, Renhe Jiang, Shuo Shang, Lisi Chen, Peng Han, Bin Yao, Panos Kalnis
2024	A*	`ed.`	IEEE International Conference on Data Mining, ICDM 2024, Abu Dhabi, United Arab Emirates, December 9-12, 2024 ICDM Elena Baralis, Kun Zhang, Ernesto Damiani, Mérouane Debbah, Panos Kalnis, Xindong Wu
2024	A*	`conf`	Multi-Scale Detection of Anomalous Spatio-Temporal Trajectories in Evolving Trajectory Datasets. KDD Chenhao Wang, Lisi Chen, Shuo Shang, Christian S. Jensen, Panos Kalnis
2024	J	`jnl`	RED: Effective Trajectory Representation Learning with Comprehensive Information. CoRR Silin Zhou, Shuo Shang, Lisi Chen, Christian S. Jensen, Panos Kalnis
2024	J	`jnl`	RED: Effective Trajectory Representation Learning with Comprehensive Information. Proc. VLDB Endow. Silin Zhou, Shuo Shang, Lisi Chen, Christian S. Jensen, Panos Kalnis
2024	A*	`conf`	Task-Oriented GNNs Training on Large Knowledge Graphs for Accurate and Efficient Modeling. ICDE Hussein Abdallah, Waleed Afandi, Panos Kalnis, Essam Mansour
2024	J	`jnl`	Task-Oriented GNNs Training on Large Knowledge Graphs for Accurate and Efficient Modeling. CoRR Hussein Abdallah, Waleed Afandi, Panos Kalnis, Essam Mansour
2023	J	`jnl`	A Universal Question-Answering Platform for Knowledge Graphs. CoRR Reham Omar, Ishika Dhall, Panos Kalnis, Essam Mansour
2023	J	`jnl`	A Universal Question-Answering Platform for Knowledge Graphs. Proc. ACM Manag. Data Reham Omar, Ishika Dhall, Panos Kalnis, Essam Mansour
2023	J	`jnl`	ChatGPT versus Traditional Question Answering for Knowledge Graphs: Current Status and Future Directions Towards Knowledge Graph Chatbots. CoRR Reham Omar, Omij Mangukiya, Panos Kalnis, Essam Mansour
2023	J	`jnl`	Deep understanding of big geo-social data for autonomous vehicles. Neural Comput. Appl. Shuo Shang, Jianbing Shen, Ji-Rong Wen, Panos Kalnis
2023	J	`jnl`	ROLE: Rotated Lorentzian Graph Embedding Model for Asymmetric Proximity. IEEE Trans. Knowl. Data Eng. Shanshan Feng, Lisi Chen, Kaiqi Zhao, Wei Wei, Xuemeng Song, Shuo Shang, Panos Kalnis, Ling Shao
2023	A*	`conf`	SLAMB: Accelerated Large Batch Training with Sparse Communication. ICML Hang Xu, Wenxuan Zhang, Jiawei Fei, Yuzhe Wu, Tingwen Xie, Jun Huang, Yuchen Xie, Mohamed Elhoseiny, Panos Kalnis
2023	J	`jnl`	Spatiotemporal data management and analytics for recommender systems. World Wide Web (WWW) Shuo Shang, Xiangliang Zhang, Panos Kalnis
2022	B	`conf`	Incremental Influential Community Detection in Large Networks. SSDBM Klearchos Kosmanos, Panos Kalnis, Apostolos Papadopoulos
2022	A*	`conf`	Towards Controlling the Transmission of Diseases: Continuous Exposure Discovery over Massive-Scale Moving Objects. IJCAI Ke Li, Lisi Chen, Shuo Shang, Haiyan Wang, Yang Liu, Panos Kalnis, Bin Yao
2021	J	`jnl`	Deep understanding of big geospatial data for self-driving cars. Neurocomputing Shuo Shang, Jianbing Shen, Ji-Rong Wen, Panos Kalnis
2021	J	`jnl`	DeepReduce: A Sparse-tensor Communication Framework for Distributed Deep Learning. CoRR Kelly Kostopoulou, Hang Xu, Aritra Dutta, Xin Li, Alexandros Ntoulas, Panos Kalnis
2021	A*	`conf`	DeepReduce: A Sparse-tensor Communication Framework for Federated Deep Learning. NeurIPS Hang Xu, Kelly Kostopoulou, Aritra Dutta, Xin Li, Alexandros Ntoulas, Panos Kalnis
2021	A	`conf`	GRACE: A Compressed Communication Framework for Distributed Machine Learning. ICDCS Hang Xu, Chen-Yu Ho, Ahmed M. Abdelmoniem, Aritra Dutta, El Houcine Bergou, Konstantinos Karatsenidis, Marco Canini, Panos Kalnis
2021	A*	`conf`	Parallel Subtrajectory Alignment over Massive-Scale Trajectory Data. IJCAI Lisi Chen, Shuo Shang, Shanshan Feng, Panos Kalnis
2021	A*	`conf`	Rethinking gradient sparsification as total error minimization. NeurIPS Atal Narayan Sahu, Aritra Dutta, Ahmed M. Abdelmoniem, Trambak Banerjee, Marco Canini, Panos Kalnis
2021	J	`jnl`	Rethinking gradient sparsification as total error minimization. CoRR Atal Narayan Sahu, Aritra Dutta, Ahmed M. Abdelmoniem, Trambak Banerjee, Marco Canini, Panos Kalnis
2021	Misc	`conf`	Scaling Distributed Machine Learning with In-Network Aggregation. NSDI Amedeo Sapio, Marco Canini, Chen-Yu Ho, Jacob Nelson, Panos Kalnis, Changhoon Kim, Arvind Krishnamurthy, Masoud Moshref, Dan R. K. Ports, Peter Richtárik
2021	A*	`conf`	Traffic Congestion Alleviation over Dynamic Road Networks: Continuous Optimal Route Combination for Trip Query Streams. IJCAI Ke Li, Lisi Chen, Shuo Shang, Panos Kalnis, Bin Yao
2020	—	`conf`	Huffman Coding Based Encoding Techniques for Fast Distributed Deep Learning. DistributedML@CoNEXT Rishikesh R. Gajjala, Shashwat Banchhor, Ahmed M. Abdelmoniem, Aritra Dutta, Marco Canini, Panos Kalnis
2020	J	`jnl`	ITISS: an efficient framework for querying big temporal data. GeoInformatica Zhongpu Chen, Bin Yao, Zhi-Jie Wang, Wei Zhang, Kai Zheng, Panos Kalnis, Feilong Tang
2020	J	`jnl`	Introduction to Spatio-temporal data management and analytics for Smart City research. GeoInformatica Shuo Shang, Lisi Chen, Christian S. Jensen, Panos Kalnis
2020	J	`jnl`	Introduction to spatio-temporal data driven urban computing. Distributed Parallel Databases Shuo Shang, Kai Zheng, Panos Kalnis
2020	A*	`conf`	On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning. AAAI Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Panos Kalnis
2020	A*	`conf`	Parallel Semantic Trajectory Similarity Join. ICDE Lisi Chen, Shuo Shang, Christian S. Jensen, Bin Yao, Panos Kalnis
2020	J	`jnl`	Top-k term publish/subscribe for geo-textual data streams. VLDB J. Lisi Chen, Shuo Shang, Christian S. Jensen, Jianliang Xu, Panos Kalnis, Bin Yao, Ling Shao
2019	A*	`conf`	AUC-MF: Point of Interest Recommendation with AUC Maximization. ICDE Peng Han, Shuo Shang, Aixin Sun, Peilin Zhao, Kai Zheng, Panos Kalnis
2019	A*	`conf`	Cluster-Based Subscription Matching for Geo-Textual Data Streams. ICDE Lisi Chen, Shuo Shang, Kai Zheng, Panos Kalnis
2019	A*	`conf`	GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization. KDD Peng Han, Peng Yang, Peilin Zhao, Shuo Shang, Yong Liu, Jiayu Zhou, Xin Gao, Panos Kalnis
2019	A	`conf`	Matrix Algebra Framework for Portable, Scalable and Efficient Query Engines for RDF Graphs. EuroSys Fuad T. Jamour, Ibrahim Abdelaziz, Yuanzhao Chen, Panos Kalnis
2019	J	`jnl`	On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning. CoRR Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Panos Kalnis
2019	J	`jnl`	Parallel Trajectory-to-Location Join. IEEE Trans. Knowl. Data Eng. Shuo Shang, Lisi Chen, Kai Zheng, Christian S. Jensen, Zhewei Wei, Panos Kalnis
2019	B	`conf`	Pivoted Subgraph Isomorphism: The Optimist, the Pessimist and the Realist. EDBT Ehab Abdelhamid, Ibrahim Abdelaziz, Zuhair Khayyat, Panos Kalnis
2019	J	`jnl`	Scaling Distributed Machine Learning with In-Network Aggregation. CoRR Amedeo Sapio, Marco Canini, Chen-Yu Ho, Jacob Nelson, Panos Kalnis, Changhoon Kim, Arvind Krishnamurthy, Masoud Moshref, Dan R. K. Ports, Peter Richtárik
2019	J	`jnl`	Semantics in the Deep: Semantic Analytics for Big Data. Data Dimitrios A. Koutsomitropoulos, Spiridon D. Likothanassis, Panos Kalnis
2018	J	`jnl`	A Demonstration of MAGiQ: Matrix Algebra Approach for Solving RDF Graph Queries. Proc. VLDB Endow. Fuad T. Jamour, Ibrahim Abdelaziz, Panos Kalnis
2018	—	`ch.`	Distributed Spatial Databases. Encyclopedia of Database Systems (2nd ed.) Panos Kalnis
2018	J	`jnl`	Improved suffix blocking for record linkage and entity resolution. Data Knowl. Eng. Amin Allam, Spiros Skiadopoulos, Panos Kalnis
2018	A*	`conf`	Incremental Frequent Subgraph Mining on Large Evolving Graphs. ICDE Ehab Abdelhamid, Mustafa Canim, Mohammad Sadoghi, Bishwaranjan Bhattacharjee, Yuan-Chi Chang, Panos Kalnis
2018	A*	`conf`	Location-Aware Top-k Term Publish/Subscribe. ICDE Lisi Chen, Shuo Shang, Zhiwei Zhang, Xin Cao, Christian S. Jensen, Panos Kalnis
2018	J	`jnl`	Parallel Algorithm for Incremental Betweenness Centrality on Large Graphs. IEEE Trans. Parallel Distributed Syst. Fuad T. Jamour, Spiros Skiadopoulos, Panos Kalnis
2018	J	`jnl`	Parallel trajectory similarity joins in spatial networks. VLDB J. Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Kai Zheng, Panos Kalnis
2018	A*	`conf`	Searching Trajectories by Regions of Interest. ICDE Shuo Shang, Lisi Chen, Christian S. Jensen, Ji-Rong Wen, Panos Kalnis
2018	—	`ch.`	Spatial Anonymity. Encyclopedia of Database Systems (2nd ed.) Panos Kalnis, Gabriel Ghinita
2017	B	`conf`	A Benchmark for Betweenness Centrality Approximation Algorithms on Large Graphs. SSDBM Ziyad AlGhamdi, Fuad T. Jamour, Spiros Skiadopoulos, Panos Kalnis
2017	—	`conf`	A Demonstration of Lusail: Querying Linked Data at Scale. SIGMOD Conference Essam Mansour, Ibrahim Abdelaziz, Mourad Ouzzani, Ashraf Aboulnaga, Panos Kalnis
2017	J	`jnl`	A Survey and Experimental Comparison of Distributed SPARQL Engines for Very Large RDF Data. Proc. VLDB Endow. Ibrahim Abdelaziz, Razen Harbi, Zuhair Khayyat, Panos Kalnis
2017	A*	`conf`	Collective Travel Planning in Spatial Networks. ICDE Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Ji-Rong Wen, Panos Kalnis
2017	J	`jnl`	Combining Vertex-Centric Graph Processing with SPARQL for Large-Scale RDF Data Analytics. IEEE Trans. Parallel Distributed Syst. Ibrahim Abdelaziz, Razen Harbi, Semih Salihoglu, Panos Kalnis
2017	—	`conf`	DAIET: a system for data aggregation inside the network. SoCC Amedeo Sapio, Ibrahim Abdelaziz, Marco Canini, Panos Kalnis
2017	J	`jnl`	Errata for "Lightning Fast and Space Efficient Inequality Joins" (PVLDB 8(13): 2074-2085). Proc. VLDB Endow. Zuhair Khayyat, William Lucia, Meghna Singh, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Panos Kalnis
2017	J	`jnl`	Fast and scalable inequality joins. VLDB J. Zuhair Khayyat, William Lucia, Meghna Singh, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Panos Kalnis
2017	Misc	`conf`	In-Network Computation is a Dumb Idea Whose Time Has Come. HotNets Amedeo Sapio, Ibrahim Abdelaziz, Abdulla Aldilaijan, Marco Canini, Panos Kalnis
2017	J	`jnl`	Incremental Frequent Subgraph Mining on Large Evolving Graphs. IEEE Trans. Knowl. Data Eng. Ehab Abdelhamid, Mustafa Canim, Mohammad Sadoghi, Bishwaranjan Bhattacharjee, Yuan-Chi Chang, Panos Kalnis
2017	J	`jnl`	Lusail: A System for Querying Linked Data at Scale. Proc. VLDB Endow. Ibrahim Abdelaziz, Essam Mansour, Mourad Ouzzani, Ashraf Aboulnaga, Panos Kalnis
2017	—	`ch.`	Olap Results, Distributed Caching. Encyclopedia of GIS Panos Kalnis, Gabriel Ghinita
2017	A*	`conf`	Query Optimizations over Decentralized RDF Graphs. ICDE Ibrahim Abdelaziz, Essam Mansour, Mourad Ouzzani, Ashraf Aboulnaga, Panos Kalnis
2017	C	`conf`	Querying and Mining Strings Made Easy. ADMA Majed Sahli, Essam Mansour, Panos Kalnis
2017	J	`jnl`	Searching Trajectories by Regions of Interest. IEEE Trans. Knowl. Data Eng. Shuo Shang, Lisi Chen, Christian S. Jensen, Ji-Rong Wen, Panos Kalnis
2017	—	`ch.`	Top-k OLAP Queries Using Augmented Spatial Access Methods. Encyclopedia of GIS Nikos Mamoulis, Spiridon Bakiras, Panos Kalnis
2017	J	`jnl`	Trajectory Similarity Join in Spatial Networks. Proc. VLDB Endow. Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Kai Zheng, Panos Kalnis
2016	J	`jnl`	Accelerating SPARQL queries by exploiting hash-based locality and adaptive partitioning. VLDB J. Razen Al-Harbi, Ibrahim Abdelaziz, Panos Kalnis, Nikos Mamoulis, Yasser Ebrahim, Majed Sahli
2016	J	`jnl`	Collective Travel Planning in Spatial Networks. IEEE Trans. Knowl. Data Eng. Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Ji-Rong Wen, Panos Kalnis
2016	J	`jnl`	DASPfind: new efficient method to predict drug-target interactions. J. Cheminformatics Wail Ba-alawi, Othman Soufan, Magbubah Essack, Panos Kalnis, Vladimir B. Bajic
2016	J	`jnl`	DRABAL: novel method to mine large high-throughput screening assays using Bayesian active learning. J. Cheminformatics Othman Soufan, Wail Ba-alawi, Moataz Afeef, Magbubah Essack, Panos Kalnis, Vladimir B. Bajic
2016	J	`jnl`	Progress and challenges in bioinformatics approaches for enhancer identification. Briefings Bioinform. Dimitrios Kleftogiannis, Panos Kalnis, Vladimir B. Bajic
2016	A	`conf`	Scalemine: scalable parallel frequent subgraph mining in a single large graph. SC Ehab Abdelhamid, Ibrahim Abdelaziz, Panos Kalnis, Zuhair Khayyat, Fuad T. Jamour
2016	J	`jnl`	Scheduling Broadcasts in a Network of Timelines. CoRR Emaad A. Manzoor, Haewoon Kwak, Panos Kalnis
2015	J	`jnl`	Adaptive Partitioning for Very Large RDF Data. CoRR Razen Al-Harbi, Ibrahim Abdelaziz, Panos Kalnis, Nikos Mamoulis, Yasser Ebrahim, Majed Sahli
2015	A*	`conf`	Automatic tuning of bag-of-tasks applications. ICDE Majed Sahli, Essam Mansour, Tariq Alturkestani, Panos Kalnis
2015	J	`jnl`	Discovery of Path Nearby Clusters in Spatial Networks. IEEE Trans. Knowl. Data Eng. Shuo Shang, Kai Zheng, Christian S. Jensen, Bin Yang, Panos Kalnis, Guohe Li, Ji-Rong Wen
2015	J	`jnl`	Evaluating SPARQL Queries on Massive RDF Datasets. Proc. VLDB Endow. Razen Harbi, Ibrahim Abdelaziz, Panos Kalnis, Nikos Mamoulis
2015	J	`jnl`	Hi-Jack: a novel computational framework for pathway-based inference of host-pathogen interactions. Bioinform. Dimitrios Kleftogiannis, Limsoon Wong, John A. C. Archer, Panos Kalnis
2015	J	`jnl`	Karect: accurate correction of substitution, insertion and deletion errors for next-generation sequencing data. Bioinform. Amin Allam, Panos Kalnis, Victor V. Solovyev
2015	J	`jnl`	Lightning Fast and Space Efficient Inequality Joins. Proc. VLDB Endow. Zuhair Khayyat, William Lucia, Meghna Singh, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Panos Kalnis
2015	J	`jnl`	SPARTex: A Vertex-Centric Framework for RDF Data Analytics. Proc. VLDB Endow. Ibrahim Abdelaziz, Razen Harbi, Semih Salihoglu, Panos Kalnis, Nikos Mamoulis
2015	J	`jnl`	StarDB: A Large-Scale DBMS for Strings. Proc. VLDB Endow. Majed Sahli, Essam Mansour, Panos Kalnis
2014	J	`jnl`	ACME: A scalable parallel system for extracting frequent patterns from a very long sequence. VLDB J. Majed Sahli, Essam Mansour, Panos Kalnis
2014	J	`jnl`	GRAMI: Frequent Subgraph and Pattern Mining in a Single Large Graph. Proc. VLDB Endow. Mohammed Elseidy, Ehab Abdelhamid, Spiros Skiadopoulos, Panos Kalnis
2014	J	`jnl`	PHD-Store: An Adaptive SPARQL Engine with Dynamic Partitioning for Distributed RDF Repositories. CoRR Razen Al-Harbi, Yasser Ebrahim, Panos Kalnis
2014	J	`jnl`	Personalized trajectory matching in spatial networks. VLDB J. Shuo Shang, Ruogu Ding, Kai Zheng, Christian S. Jensen, Panos Kalnis, Xiaofang Zhou
2013	A	`conf`	Mizan: a system for dynamic load balancing in large-scale graph processing. EuroSys Zuhair Khayyat, Karim Awara, Amani AlOnazi, Hani Jamjoom, Dan Williams, Panos Kalnis
2013	A	`conf`	Parallel motif extraction from very long sequences. CIKM Majed Sahli, Essam Mansour, Panos Kalnis
2013	J	`jnl`	RACE: A Scalable and Elastic Parallel System for Discovering Repeats in Very Long Sequences. Proc. VLDB Endow. Essam Mansour, Ahmed El-Roby, Panos Kalnis, Aron Ahmadia, Ashraf Aboulnaga
2013	A*	`conf`	To 4, 000 compute nodes and beyond: network-aware vertex placement in large-scale graph processing systems. SIGCOMM Karim Awara, Hani Jamjoom, Panos Kalnis
2012	A	`conf`	Delineating social network data anonymization via random edge perturbation. CIKM Mingqiang Xue, Panagiotis Karras, Chedy Raïssi, Panos Kalnis, Hung Keng Pung
2012	J	`jnl`	Outsourced Similarity Search on Metric Data Assets. IEEE Trans. Knowl. Data Eng. Man Lung Yiu, Ira Assent, Christian S. Jensen, Panos Kalnis
2012	B	`conf`	User oriented trajectory search for trip recommendation. EDBT Shuo Shang, Ruogu Ding, Bo Yuan, Kexin Xie, Kai Zheng, Panos Kalnis
2011	J	`jnl`	Anonymous Publication of Sensitive Transactional Data. IEEE Trans. Knowl. Data Eng. Gabriel Ghinita, Panos Kalnis, Yufei Tao
2011	J	`jnl`	Approximate and exact hybrid algorithms for private nearest-neighbor queries with database protection. GeoInformatica Gabriel Ghinita, Panos Kalnis, Murat Kantarcioglu, Elisa Bertino
2011	—	`conf`	Distributed Privacy Preserving Data Collection. DASFAA (1) Mingqiang Xue, Panagiotis Papadimitriou, Chedy Raïssi, Panos Kalnis, Hung Keng Pung
2011	J	`jnl`	ERA: Efficient Serial and Parallel Suffix Tree Construction for Very Long Strings CoRR Essam Mansour, Amin Allam, Spiros Skiadopoulos, Panos Kalnis
2011	J	`jnl`	ERA: Efficient Serial and Parallel Suffix Tree Construction for Very Long Strings. Proc. VLDB Endow. Essam Mansour, Amin Allam, Spiros Skiadopoulos, Panos Kalnis
2011	J	`jnl`	Local and global recoding methods for anonymizing set-valued data. VLDB J. Manolis Terrovitis, Nikos Mamoulis, Panos Kalnis
2011	J	`jnl`	SABRE: a Sensitive Attribute Bucketization and REdistribution framework for VLDB J. Jianneng Cao, Panagiotis Karras, Panos Kalnis, Kian-Lee Tan
2010	J	`jnl`	A reciprocal framework for spatial K-anonymity. Inf. Syst. Gabriel Ghinita, Keliang Zhao, Dimitris Papadias, Panos Kalnis
2010	J	`jnl`	Efficient and accurate nearest neighbor and closest pair search in high-dimensional space. ACM Trans. Database Syst. Yufei Tao, Ke Yi, Cheng Sheng, Panos Kalnis
2010	J	`jnl`	Enabling search services on outsourced private spatial data. VLDB J. Man Lung Yiu, Gabriel Ghinita, Christian S. Jensen, Panos Kalnis
2010	J	`jnl`	Providing K-Anonymity in location based services. SIGKDD Explor. Aris Gkoulalas-Divanis, Panos Kalnis, Vassilios S. Verykios
2009	B	`conf`	A Hybrid Technique for Private Location-Based Queries with Database Protection. SSTD Gabriel Ghinita, Panos Kalnis, Murat Kantarcioglu, Elisa Bertino
2009	J	`jnl`	A framework for efficient data anonymization under privacy and accuracy constraints. ACM Trans. Database Syst. Gabriel Ghinita, Panagiotis Karras, Panos Kalnis, Nikos Mamoulis
2009	—	`conf`	Authenticated join processing in outsourced databases. SIGMOD Conference Yin Yang, Dimitris Papadias, Stavros Papadopoulos, Panos Kalnis
2009	—	`ch.`	Distributed Spatial Databases. Encyclopedia of Database Systems Panos Kalnis
2009	—	`conf`	Location Diversity: Enhanced Privacy Protection in Location Based Services. LoCA Mingqiang Xue, Panos Kalnis, Hung Keng Pung
2009	A*	`conf`	Outsourcing Search Services on Private Spatial Data. ICDE Man Lung Yiu, Gabriel Ghinita, Christian S. Jensen, Panos Kalnis
2009	—	`conf`	Quality and efficiency in high dimensional nearest neighbor search. SIGMOD Conference Yufei Tao, Ke Yi, Cheng Sheng, Panos Kalnis
2009	J	`jnl`	Repeatability & workability evaluation of SIGMOD 2009. SIGMOD Rec. Stefan Manegold, Ioana Manolescu, Loredana Afanasiev, Jianlin Feng, Gang Gou, Marios Hadjieleftheriou, Stavros Harizopoulos, Panos Kalnis, Konstantinos Karanasos, Dominique Laurent, Mihai Lupu, Nicola Onose, Christopher Ré, Virginie Sans, Pierre Senellart, Tina Wu, Dennis E. Shasha
2009	—	`ch.`	Spatial Anonymity. Encyclopedia of Database Systems Panos Kalnis, Gabriel Ghinita
2008	J	`jnl`	DCMP: A Distributed Cycle Minimization Protocol for Peer-to-Peer Networks. IEEE Trans. Parallel Distributed Syst. Zhenzhou Zhu, Panos Kalnis, Spiridon Bakiras
2008	—	`ch.`	Olap Results, Distributed Caching. Encyclopedia of GIS Panos Kalnis, Gabriel Ghinita
2008	A*	`conf`	On the Anonymization of Sparse High-Dimensional Data. ICDE Gabriel Ghinita, Yufei Tao, Panos Kalnis
2008	B	`conf`	POEMS: Peer-Based Overload Management. WISE Wee Siong Ng, Panos Kalnis, Kian-Lee Tan, Markus Kirchberg
2008	B	`conf`	Privacy-Preserving Publication of User Locations in the Proximity of Sensitive Sites. SSDBM Bharath Krishnamachari, Gabriel Ghinita, Panos Kalnis
2008	J	`jnl`	Privacy-preserving anonymization of set-valued data. Proc. VLDB Endow. Manolis Terrovitis, Nikos Mamoulis, Panos Kalnis
2008	—	`conf`	Private queries in location based services: anonymizers are not necessary. SIGMOD Conference Gabriel Ghinita, Panos Kalnis, Ali Khoshgozaran, Cyrus Shahabi, Kian-Lee Tan
2008	—	`ch.`	Top-k OLAP Queries Using Augmented Spatial Access Methods. Encyclopedia of GIS Nikos Mamoulis, Spiridon Bakiras, Panos Kalnis
2008	C	`conf`	Tracking Moving Objects in Anonymized Trajectories. DEXA Nikolay Vyahhi, Spiridon Bakiras, Panos Kalnis, Gabriel Ghinita
2007	A*	`conf`	Fast Data Anonymization with Low Information Loss. VLDB Gabriel Ghinita, Panagiotis Karras, Panos Kalnis, Nikos Mamoulis
2007	B	`conf`	MobiHide: A Mobilea Peer-to-Peer System for Anonymous Location-Based Queries. SSTD Gabriel Ghinita, Panos Kalnis, Spiros Skiadopoulos
2007	A*	`conf`	PRIVE: anonymous location-based queries in distributed mobile systems. WWW Gabriel Ghinita, Panos Kalnis, Spiros Skiadopoulos
2007	J	`jnl`	Preventing Location-Based Identity Inference in Anonymous Spatial Queries. IEEE Trans. Knowl. Data Eng. Panos Kalnis, Gabriel Ghinita, Kyriakos Mouratidis, Dimitris Papadias
2006	A	`conf`	Ad-hoc distributed spatial joins on mobile devices. IPDPS Panos Kalnis, Nikos Mamoulis, Spiridon Bakiras, Xiaochen Li
2006	J	`jnl`	Answering similarity queries in peer-to-peer networks. Inf. Syst. Panos Kalnis, Wee Siong Ng, Beng Chin Ooi, Kian-Lee Tan
2005	B	`conf`	Evaluation of Top-k OLAP Queries Using Aggregate R-Trees. SSTD Nikos Mamoulis, Spiridon Bakiras, Panos Kalnis
2005	J	`jnl`	Generalized multidimensional data mapping and query processing. ACM Trans. Database Syst. Rui Zhang, Panos Kalnis, Beng Chin Ooi, Kian-Lee Tan
2005	B	`conf`	On Discovering Moving Clusters in Spatio-temporal Data. SSTD Panos Kalnis, Nikos Mamoulis, Spiridon Bakiras
2005	B	`conf`	Real Datasets for File-Sharing Peer-to-Peer Systems. DASFAA Shen-Tat Goh, Panos Kalnis, Spiridon Bakiras, Kian-Lee Tan
2005	—	`conf`	Similarity Evaluation on Tree-structured Data. SIGMOD Conference Rui Yang, Panos Kalnis, Anthony K. H. Tung
2004	—	`conf`	Answering similarity queries in peer-to-peer networks. WWW (Alternate Track Papers & Posters) Panos Kalnis, Wee Siong Ng, Beng Chin Ooi, Kian-Lee Tan
2004	C	`conf`	Efficient Processing of Distributed Iceberg Semi-joins. DEXA Mohammed Kasim Imthiyaz, Dong Xiaoan, Panos Kalnis
2004	A	`conf`	Localized signature table: fast similarity search on transaction data. CIKM Qiang Jing, Rui Yang, Panos Kalnis, Anthony K. H. Tung
2004	C	`conf`	Processing Ad-Hoc Joins on Mobile Devices. DEXA Eric Lo, Nikos Mamoulis, David Wai-Lok Cheung, Wai-Shing Ho, Panos Kalnis
2003	A	`conf`	A General Framework for Searching in Distributed Data Repositories. IPDPS Spiridon Bakiras, Panos Kalnis, Thanasis Loukopoulos, Wee Siong Ng
2003	J	`jnl`	Multi-query optimization for on-line analytical processing. Inf. Syst. Panos Kalnis, Dimitris Papadias
2003	B	`conf`	Optimization of Spatial Joins on Mobile Devices. SSTD Nikos Mamoulis, Panos Kalnis, Spiridon Bakiras, Xiaochen Li
2002	—	`conf`	An adaptive peer-to-peer network for distributed caching of OLAP results. SIGMOD Conference Panos Kalnis, Wee Siong Ng, Beng Chin Ooi, Dimitris Papadias, Kian-Lee Tan
2002	A*	`conf`	Indexing Spatio-Temporal Data Warehouses. ICDE Dimitris Papadias, Yufei Tao, Panos Kalnis, Jun Zhang
2002	J	`jnl`	View selection using randomized search. Data Knowl. Eng. Panos Kalnis, Nikos Mamoulis, Dimitris Papadias
2001	B	`conf`	Active Caching of On-Line-Analytical-Processing Queries in WWW Proxies. ICPP Thanasis Loukopoulos, Panos Kalnis, Ishfaq Ahmad, Dimitris Papadias
2001	B	`conf`	Efficient OLAP Operations in Spatial Data Warehouses. SSTD Dimitris Papadias, Panos Kalnis, Jun Zhang, Yufei Tao
2001	B	`conf`	Optimization Algorithms for Simultaneous Multidimensional Queries in OLAP Environments. DaWaK Panos Kalnis, Dimitris Papadias
2001	—	`conf`	Proxy-Server Architectures for OLAP. SIGMOD Conference Panos Kalnis, Dimitris Papadias
1999	A*	`conf`	Content-Based Retrieval Using Heuristic Search. SIGIR Dimitris Papadias, Marios Mantzourogiannis, Panos Kalnis, Nikos Mamoulis, Ishfaq Ahmad
1999	—	`conf`	Hierarchical Constraint Satisfaction in Spatial Databases. AAAI/IAAI Dimitris Papadias, Panos Kalnis, Nikos Mamoulis