Thomas Heinis - RankMe

110 papers A* 7A 7B 22C 5Journal 40Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An End-to-End Coding Scheme for DNA-Based Data Storage With Nanopore-Sequenced Reads. IEEE J. Sel. Areas Inf. Theory Lorenz Welter, Roman Sokolovskii, Thomas Heinis, Antonia Wachter-Zeh, Eirik Rosnes, Alexandre Graell i Amat
2026	A	`conf`	Lower Bounds for the Algorithmic Complexity of Learned Indexes. ICDT Luis Alberto Croquevielle, Roman Sokolovskii, Thomas Heinis
2026	J	`jnl`	Lower Bounds for the Algorithmic Complexity of Learned Indexes. CoRR Luis Alberto Croquevielle, Roman Sokolovskii, Thomas Heinis
2025	J	`jnl`	A New Paradigm in Tuning Learned Indexes: A Reinforcement Learning Enhanced Approach. CoRR Taiyi Wang, Liang Liang, Guang Yang, Thomas Heinis, Eiko Yoneki
2025	J	`jnl`	A New Paradigm in Tuning Learned Indexes: A Reinforcement Learning Enhanced Approach. Proc. ACM Manag. Data Taiyi Wang, Liang Liang, Guang Yang, Thomas Heinis, Eiko Yoneki
2025	J	`jnl`	A mapping of the Min-Sum decoder to reduction operations, and its implementation using CUDA kernels. CoRR Omer S. Sella, Thomas Heinis
2025	A	`conf`	Beyond Logarithmic Bounds: Querying in Constant Expected Time with Learned Indexes. ICDT Luis Alberto Croquevielle, Guang Yang, Liang Liang, Ali Hadian, Thomas Heinis
2025	J	`jnl`	Coding Over Coupon Collector Channels for Combinatorial Motif-Based DNA Storage. IEEE Trans. Commun. Roman Sokolovskii, Parv Agarwal, Luis Alberto Croquevielle, Zijian Zhou, Thomas Heinis
2025	A	`conf`	DNA data storage: A generative tool for Motif-based DNA storage. FAST Samira Brunmayr, Omer S. Sella, Thomas Heinis
2025	J	`jnl`	Inclusive Training Separation and Implicit Knowledge Interaction for Balanced Online Class-Incremental Learning. CoRR Shunjie Wen, Thomas Heinis, Dong-Wan Choi
2025	C	`conf`	Progressive Video Streaming from DNA Storage. PCS Felix Breach, Thomas Heinis, Ibrahim Nawaz
2025	A*	`conf`	Single Exposure Quantitative Phase Imaging with a Conventional Microscope Using Diffusion Models. AAAI Gabriel della Maggiora, Luis Alberto Croquevielle, Harry Horsley, Thomas Heinis, Artur Yakimovich
2024	J	`jnl`	An End-to-End Coding Scheme for DNA-Based Data Storage With Nanopore-Sequenced Reads. CoRR Lorenz Welter, Roman Sokolovskii, Thomas Heinis, Antonia Wachter-Zeh, Eirik Rosnes, Alexandre Graell i Amat
2024	J	`jnl`	Coding Over Coupon Collector Channels for Combinatorial Motif-Based DNA Storage. CoRR Roman Sokolovskii, Parv Agarwal, Luis Alberto Croquevielle, Zijian Zhou, Thomas Heinis
2024	A*	`conf`	Conditional Variational Diffusion Models. ICLR Gabriel della Maggiora, Luis Alberto Croquevielle, Nikita Deshpande, Harry Horsley, Thomas Heinis, Artur Yakimovich
2024	—	`conf`	Fovea Prediction Model in VR. VR Workshops Daniele Giunchi, Riccardo Bovo, Nitesh Bhatia, Thomas Heinis, Anthony Steed
2024	B	`conf`	In-Network Approximate and Efficient Spatiotemporal Range Queries on Moving Objects. EDBT Guang Yang, Abhirup Ghosh, Liang Liang, Thomas Heinis
2024	J	`jnl`	Motif Caller: Sequence Reconstruction for Motif-Based DNA Storage. CoRR Parv Agarwal, Thomas Heinis
2024	J	`jnl`	SWIX: A Memory-efficient Sliding Window Learned Index. Proc. ACM Manag. Data Liang Liang, Guang Yang, Ali Hadian, Luis Alberto Croquevielle, Thomas Heinis
2024	J	`jnl`	Single Exposure Quantitative Phase Imaging with a Conventional Microscope using Diffusion Models. CoRR Gabriel della Maggiora, Luis Alberto Croquevielle, Harry Horsley, Thomas Heinis, Artur Yakimovich
2024	J	`jnl`	Survey of Information Encoding Techniques for DNA. ACM Comput. Surv. Thomas Heinis, Roman Sokolovskii, Jamie J. Alnasir
2024	J	`jnl`	The prospect of artificial intelligence to personalize assisted reproductive technology. npj Digit. Medicine Simon Hanassab, Ali Abbara, Arthur C. Yeung, Margaritis Voliotis, Krasimira Tsaneva-Atanasova, Tom W. Kelsey, Geoffrey H. Trew, Scott M. Nelson, Thomas Heinis, Waljit S. Dhillo
2024	J	`jnl`	Upper Bounds for Complexity of Asymptotically Optimal Learned Indexes. CoRR Luis Alberto Croquevielle, Guang Yang, Liang Liang, Ali Hadian, Thomas Heinis
2023	—	`conf`	COAX: Correlation-Aware Indexing. ICDEW Ali Hadian, Behzad Ghaffari, Taiyi Wang, Thomas Heinis
2023	J	`jnl`	Conditional Variational Diffusion Models. CoRR Gabriel della Maggiora, Luis Alberto Croquevielle, Nikita Desphande, Harry Horsley, Thomas Heinis, Artur Yakimovich
2023	B	`conf`	FLIRT: A Fast Learned Index for Rolling Time frames. EDBT Guang Yang, Liang Liang, Ali Hadian, Thomas Heinis
2023	—	`conf`	Optimization towards Efficiency and Stateful of dispel4py. SC Workshops Liang Liang, Heting Zhang, Guang Yang, Thomas Heinis, Rosa Filgueira
2023	J	`jnl`	Optimization towards Efficiency and Stateful of dispel4py. CoRR Liang Liang, Heting Zhang, Guang Yang, Thomas Heinis, Rosa Filgueira
2023	A*	`conf`	Speech-Augmented Cone-of-Vision for Exploratory Data Analysis. CHI Riccardo Bovo, Daniele Giunchi, Ludwig Sidenmark, Joshua Newn, Hans Gellersen, Enrico Costanza, Thomas Heinis
2023	J	`jnl`	Towards Migration-Free Just-In-Case Data Archival for Future Cloud Data Lakes. Proc. VLDB Endow. Eugenio Marinelli, Yiqing Yan, Virginie Magnone, Charlotte Dumargne, Pascal Barbry, Thomas Heinis, Raja Appuswamy
2022	J	`jnl`	Cone of Vision as a Behavioural Cue for VR Collaboration. Proc. ACM Hum. Comput. Interact. Riccardo Bovo, Daniele Giunchi, Muna Alebri, Anthony Steed, Enrico Costanza, Thomas Heinis
2022	J	`jnl`	DNA data storage, sequencing data-carrying DNA. CoRR Jasmine Quah, Omer S. Sella, Thomas Heinis
2022	J	`jnl`	Digital Preservation with Synthetic DNA. Trans. Large Scale Data Knowl. Centered Syst. Eugenio Marinelli, Eddy Ghabach, Yiqing Yan, Thomas Bolbroe, Omer S. Sella, Thomas Heinis, Raja Appuswamy
2022	—	`conf`	MR-RIEW: An MR Toolkit for Designing Remote Immersive Experiment Workflows. VR Workshops Riccardo Bovo, Daniele Giunchi, Anthony Steed, Thomas Heinis
2022	J	`jnl`	Mitigation strategies for participant non-attendance in VR remote collaborative experiments. Frontiers Comput. Sci. Riccardo Bovo, Daniele Giunchi, Enrico Costanza, Anthony Steed, Thomas Heinis
2022	—	`ed.`	Proceedings of the The British International Conference on Databases 2021, London, United Kingdom, March 28, 2022. BICOD Holger Pirk, Thomas Heinis
2022	B	`conf`	Real-time head-based deep-learning model for gaze probability regions in collaborative VR. ETRA Riccardo Bovo, Daniele Giunchi, Ludwig Sidenmark, Hans Gellersen, Enrico Costanza, Thomas Heinis
2022	J	`jnl`	Scalable adaptive optimizations for stream-based workflows in multi-HPC-clusters and cloud infrastructures. Future Gener. Comput. Syst. Liang Liang, Rosa Filgueira, Yan Yan, Thomas Heinis
2022	B	`conf`	Shall I describe it or shall I move closer? Verbal references and locomotion in VR collaborative search tasks. ECSCW Riccardo Bovo, Daniele Giunchi, Enrico Costanza, Anthony Steed, Thomas Heinis
2021	—	`conf`	Browsing Internet Content in Multiple Dimensions. EDBT/ICDT Workshops Tiger Cross, Riccardo Bovo, Thomas Heinis
2021	—	`conf`	DNA archival storage, a bottom up approach. HotStorage Omer S. Sella, Amir Apelbaum, Thomas Heinis, Jasmine Quah, Andrew W. Moore
2021	—	`conf`	DNA4DNA: Preserving Culturally Significant Digital Data with Synthetic DNA. iPRES Eugenio Marinelli, Eddy Ghabach, Thomas Bolbroe, Omer S. Sella, Thomas Heinis, Raja Appuswamy
2021	B	`conf`	Distributed Spatiotemporal Distance Join for Trajectory Data. e-Science Guang Yang, Thomas Heinis
2021	—	`conf`	Generating Synthetic Data for DNA Origami-based Information Storage Systems. BICOD William Hunter, Thomas Heinis, Chandler Low
2021	—	`conf`	HYPO: skew-resilient partitioning for trajectory datasets. LocalRec@SIGSPATIAL Giannis Evagorou, Abhirup Ghosh, Thomas Heinis
2021	B	`conf`	MAMBO - Indexing Dead Space to Accelerate Spatial Queries✱. SSDBM Giannis Evagorou, Thomas Heinis
2021	C	`conf`	Nanopore Sequencing Simulator for DNA Data Storage. VCIP Eva Gil San Antonio, Thomas Heinis, Louis Carteron, Melpomeni Dimopoulou, Marc Antonini
2021	B	`conf`	Perceived Realism of Pedestrian Crowds Trajectories in VR. VRST Daniele Giunchi, Riccardo Bovo, Panayiotis Charalambous, Fotis Liarokapis, Alastair Shipman, Stuart James, Anthony Steed, Thomas Heinis
2021	B	`conf`	SOJA: A Memory-efficent Smallâ€"large Outer Join for MPI. EDBT Liang Liang, Guang Yang, Thomas Heinis, David Taniar
2021	B	`conf`	Shift-Table: A Low-latency Learned Index for Range Queries using Model Correction. EDBT Ali Hadian, Thomas Heinis
2021	J	`jnl`	Shift-Table: A Low-latency Learned Index for Range Queries using Model Correction. CoRR Ali Hadian, Thomas Heinis
2020	—	`conf`	Hands-off Model Integration in Spatial Index Structures. AIDB@VLDB Ali Hadian, Ankit Kumar, Thomas Heinis
2020	J	`jnl`	Hands-off Model Integration in Spatial Index Structures. CoRR Ali Hadian, Ankit Kumar, Thomas Heinis
2020	J	`jnl`	Leveraging Soft Functional Dependencies for Indexing Multi-dimensional Data. CoRR Behzad Ghaffari, Ali Hadian, Thomas Heinis
2020	—	`conf`	MADEX: Learning-augmented Algorithmic Index Structures. AIDB@VLDB Ali Hadian, Thomas Heinis
2020	J	`jnl`	Open Visualization Environment (OVE): A web framework for scalable rendering of data visualizations. Future Gener. Comput. Syst. Senaka Fernando, James Scott-Brown, Ovidiu Serban, David Birch, David Akroyd, Miguel Molina-Solana, Thomas Heinis, Yike Guo
2020	B	`conf`	The Vantage Index: Executing Distance Queries at Scale. SSDBM Giannis Evagorou, Marco Lavalle, Thomas Heinis
2019	—	`conf`	Considerations for handling updates in learned index structures. aiDM@SIGMOD Ali Hadian, Thomas Heinis
2019	—	`conf`	Efficient Bundled Spatial Range Queries. SIGSPATIAL/GIS Eleni Tzirita Zacharatou, Darius Sidlauskas, Farhan Tauheed, Thomas Heinis, Anastasia Ailamaki
2019	B	`conf`	Interpolation-friendly B-trees: Bridging the Gap Between Algorithmic and Learned Indexes. EDBT Ali Hadian, Thomas Heinis
2019	B	`conf`	Neuromorphic Hardware As Database Co-Processors: Potential and Limitations. EDBT Thomas Heinis
2019	A	`conf`	OligoArchive: Using DNA in the DBMS storage hierarchy. CIDR Raja Appuswamy, Kevin Le Brigand, Pascal Barbry, Marc Antonini, Olivier Madderson, Paul S. Freemont, James McDonald, Thomas Heinis
2019	A*	`conf`	Parameter Discovery in Unsupervised Clustering. ICDE Valentin Clement, Thomas Heinis
2019	J	`jnl`	Survey of Information Encoding Techniques for DNA. CoRR Thomas Heinis
2018	—	`ch.`	Provenance Storage. Encyclopedia of Database Systems (2nd ed.) Thomas Heinis, Adriane Chapman
2018	B	`conf`	QUASII: QUery-Aware Spatial Incremental Index. EDBT Mirjana Pavlovic, Darius Sidlauskas, Thomas Heinis, Anastasia Ailamaki
2018	—	`conf`	Towards Batch-Processing on Cold Storage Devices. ICDE Workshops Ali Hadian, Thomas Heinis
2018	—	`conf`	Using Neuromorphic Hardware for the Scalable Execution of Massively Parallel, Communication-Intensive Algorithms. UCC Companion Louis Blin, Ahsan Javed Awan, Thomas Heinis
2017	J	`jnl`	ADvaNCE - Efficient and Scalable Approximate Density-Based Clustering Based on Hashing. Informatica Tianrun Li, Thomas Heinis, Wayne Luk
2017	B	`conf`	BLOCK: Efficient Execution of Spatial Range Queries in Main-Memory. SSDBM Matthaios Olma, Farhan Tauheed, Thomas Heinis, Anastasia Ailamaki
2017	J	`jnl`	Data Infrastructure for Medical Research. Found. Trends Databases Thomas Heinis, Anastasia Ailamaki
2017	J	`jnl`	Efficient Mining of Regional Movement Patterns in Semantic Trajectories. Proc. VLDB Endow. Dong-Wan Choi, Jian Pei, Thomas Heinis
2017	A	`conf`	Neuromorphic Hardware As Database Co-Processors. CIDR Thomas Heinis
2017	—	`conf`	STATS - A Point Access Method for Multidimensional Clusters. DEXA (1) Giannis Evagorou, Thomas Heinis
2017	—	`conf`	eTRIKS analytical environment: A modular high performance framework for medical data analysis. IEEE BigData Axel Oehmichen, Florian Guitton, Kai Sun, Jean Grizet, Thomas Heinis, Yike Guo
2016	C	`conf`	An Efficient Parallel Load-Balancing Framework for Orthogonal Decomposition of Geometrical Data. ISC Bruno R. C. Magalhães, Farhan Tauheed, Thomas Heinis, Anastasia Ailamaki, Felix Schürmann
2016	C	`conf`	Hashing-Based Approximate DBSCAN. ADBIS Tianrun Li, Thomas Heinis, Wayne Luk
2016	—	`conf`	Space odyssey: efficient exploration of scientific data. ExploreDB@SIGMOD/PODS Mirjana Pavlovic, Eleni Tzirita Zacharatou, Darius Sidlauskas, Thomas Heinis, Anastasia Ailamaki
2016	A*	`conf`	TRANSFORMERS: Robust spatial joins on non-uniform data distributions. ICDE Mirjana Pavlovic, Thomas Heinis, Farhan Tauheed, Panagiotis Karras, Anastasia Ailamaki
2015	—	`conf`	Configuring Spatial Grids for Efficient Main Memory Joins. BICOD Farhan Tauheed, Thomas Heinis, Anastasia Ailamaki
2015	A	`conf`	Just-In-Time Data Virtualization: Lightweight Data Management with ViDa. CIDR Manos Karpathiotakis, Ioannis Alagiannis, Thomas Heinis, Miguel Branco, Anastasia Ailamaki
2015	J	`jnl`	On-the-Fly Data Synopses: Efficient Data Exploration in the Simulation Sciences. SIGMOD Rec. Thomas Heinis, David A. Ham
2015	B	`conf`	RUBIK: efficient threshold queries on massive time series. SSDBM Eleni Tzirita Zacharatou, Farhan Tauheed, Thomas Heinis, Anastasia Ailamaki
2015	B	`conf`	Reconsolidating Data Structures. EDBT Thomas Heinis, Anastasia Ailamaki
2015	—	`conf`	THERMAL-JOIN: A Scalable Spatial Join for Dynamic Workloads. SIGMOD Conference Farhan Tauheed, Thomas Heinis, Anastasia Ailamaki
2015	—	`conf`	Towards the Identification of Disease Signatures. BIH Tassos Venetis, Anastasia Ailamaki, Thomas Heinis, Manos Karpathiotakis, Ferath Kherif, Alexis Mitelpunkt, Vasilis Vassalos
2014	J	`jnl`	Data analysis: Approximation aids handling of big data. Nat. Thomas Heinis
2014	A*	`conf`	OCTOPUS: Efficient query execution on dynamic mesh datasets. ICDE Farhan Tauheed, Thomas Heinis, Felix Schürmann, Henry Markram, Anastasia Ailamaki
2014	B	`conf`	Spatial Data Management Challenges in the Simulation Sciences. EDBT Thomas Heinis, Farhan Tauheed, Anastasia Ailamaki
2013	B	`conf`	Accelerating spatial range queries. EDBT Alexandros Stougiannis, Farhan Tauheed, Thomas Heinis, Anastasia Ailamaki
2013	C	`conf`	Computational Neuroscience Breakthroughs through Innovative Data Management. ADBIS Farhan Tauheed, Sadegh Nobari, Laurynas Biveinis, Thomas Heinis, Anastasia Ailamaki
2013	—	`conf`	Data-driven neuroscience: enabling breakthroughs via innovative data management. SIGMOD Conference Alexandros Stougiannis, Mirjana Pavlovic, Farhan Tauheed, Thomas Heinis, Anastasia Ailamaki
2013	J	`jnl`	Enabling Scientific Discovery Via Innovative Spatial Data Management. IEEE Data Eng. Bull. Thomas Heinis, Farhan Tauheed, Mirjana Pavlovic, Anastasia Ailamaki
2013	B	`conf`	GIPSY: joining spatial datasets with contrasting density. SSDBM Mirjana Pavlovic, Farhan Tauheed, Thomas Heinis, Anastasia Ailamaki
2013	—	`conf`	TOUCH: in-memory spatial join by hierarchical data-oriented partitioning. SIGMOD Conference Sadegh Nobari, Farhan Tauheed, Thomas Heinis, Panagiotis Karras, Stéphane Bressan, Anastasia Ailamaki
2012	A*	`conf`	Accelerating Range Queries for Brain Simulations. ICDE Farhan Tauheed, Laurynas Biveinis, Thomas Heinis, Felix Schürmann, Henry Markram, Anastasia Ailamaki
2012	J	`jnl`	SCOUT: Prefetching for Latent Feature Following Queries CoRR Farhan Tauheed, Thomas Heinis, Felix Schürmann, Henry Markram, Anastasia Ailamaki
2012	J	`jnl`	SCOUT: Prefetching for Latent Feature Following Queries. Proc. VLDB Endow. Farhan Tauheed, Thomas Heinis, Felix Schürmann, Henry Markram, Anastasia Ailamaki
2011	J	`jnl`	Challenges and Opportunities in Self-Managing Scientific Databases. IEEE Data Eng. Bull. Thomas Heinis, Miguel Branco, Ioannis Alagiannis, Renata Borovica, Farhan Tauheed, Anastasia Ailamaki
2010	B	`conf`	PARINDA: an interactive physical designer for PostgreSQL. EDBT Cristina Maier, Debabrata Dash, Ioannis Alagiannis, Anastasia Ailamaki, Thomas Heinis
2009	—	`—`	Workflow-based Services: Infrastructure for Scientific Applications. Thomas Heinis
2008	—	`conf`	Automatic Configuration of an Autonomic Controller: An Experimental Study with Zero-Configuration Policies. ICAC Thomas Heinis, Cesare Pautasso
2008	—	`conf`	Efficient lineage tracking for scientific workflows. SIGMOD Conference Thomas Heinis, Gustavo Alonso
2007	J	`jnl`	Autonomic resource provisioning for software business processes. Inf. Softw. Technol. Cesare Pautasso, Thomas Heinis, Gustavo Alonso
2006	J	`jnl`	Developing scientific workflows from heterogeneous services. SIGMOD Rec. Aphrodite Tsalgatidou, George Athanasopoulos, Michael Pantazoglou, Cesare Pautasso, Thomas Heinis, Roy Grønmo, Hjørdis Hoff, Arne-Jørgen Berre, M. Glittum, Simela Topouzidou
2006	J	`jnl`	JOpera: Autonomic Service Orchestration. IEEE Data Eng. Bull. Cesare Pautasso, Thomas Heinis, Gustavo Alonso
2006	B	`conf`	Mirroring Resources or Mapping Requests: Implementing WS-RF for Grid Workflows. CCGRID Thomas Heinis, Cesare Pautasso, Gustavo Alonso
2005	A	`conf`	Autonomic Execution of Web Service Compositions. ICWS Cesare Pautasso, Thomas Heinis, Gustavo Alonso
2005	—	`conf`	Design and Evaluation of an Autonomic Workflow Engine. ICAC Thomas Heinis, Cesare Pautasso, Gustavo Alonso
2005	B	`conf`	Publishing Persistent Grid Computations as WS Resources. e-Science Thomas Heinis, Cesare Pautasso, Oliver Deak, Gustavo Alonso