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ORCIDThomas Heinis
Person information
- affiliation: Imperial College Imperial, UK
- affiliation: ETH Zurich, Switzerland
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2020 – today
- 2024
[j20]Thomas Heinis
, Roman Sokolovskii, Jamie J. Alnasir:
Survey of Information Encoding Techniques for DNA. ACM Comput. Surv. 56(4): 107:1-107:30 (2024)- [j19]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:
The prospect of artificial intelligence to personalize assisted reproductive technology. npj Digit. Medicine 7(1) (2024) - [j18]Liang Liang, Guang Yang, Ali Hadian, Luis Alberto Croquevielle, Thomas Heinis:
SWIX: A Memory-efficient Sliding Window Learned Index. Proc. ACM Manag. Data 2(1): 41:1-41:26 (2024) - [c62]Guang Yang, Abhirup Ghosh, Liang Liang, Thomas Heinis:
In-Network Approximate and Efficient Spatiotemporal Range Queries on Moving Objects. EDBT 2024: 34-46 - [c61]Gabriel della Maggiora, Luis Alberto Croquevielle, Nikita Deshpande, Harry Horsley, Thomas Heinis, Artur Yakimovich:
Conditional Variational Diffusion Models. ICLR 2024 - [c60]Daniele Giunchi, Riccardo Bovo, Nitesh Bhatia, Thomas Heinis, Anthony Steed:
Fovea Prediction Model in VR. VR Workshops 2024: 867-868 - [i12]Luis Alberto Croquevielle, Guang Yang, Liang Liang, Ali Hadian, Thomas Heinis:
Upper Bounds for Complexity of Asymptotically Optimal Learned Indexes. CoRR abs/2405.03851 (2024) - [i11]Roman Sokolovskii, Parv Agarwal, Luis Alberto Croquevielle, Zijian Zhou, Thomas Heinis:
Coding Over Coupon Collector Channels for Combinatorial Motif-Based DNA Storage. CoRR abs/2406.04141 (2024) - [i10]Gabriel della Maggiora, Luis Alberto Croquevielle, Harry Horsley, Thomas Heinis, Artur Yakimovich:
Single Exposure Quantitative Phase Imaging with a Conventional Microscope using Diffusion Models. CoRR abs/2406.04388 (2024) - [i9]Lorenz Welter, Roman Sokolovskii, Thomas Heinis, Antonia Wachter-Zeh, Eirik Rosnes, Alexandre Graell i Amat:
An End-to-End Coding Scheme for DNA-Based Data Storage With Nanopore-Sequenced Reads. CoRR abs/2406.12955 (2024) - 2023
- [j17]Eugenio Marinelli, Yiqing Yan, Virginie Magnone, Charlotte Dumargne, Pascal Barbry, Thomas Heinis, Raja Appuswamy:
Towards Migration-Free Just-In-Case Data Archival for Future Cloud Data Lakes. Proc. VLDB Endow. 16(8): 1923-1929 (2023) - [c59]Riccardo Bovo, Daniele Giunchi, Ludwig Sidenmark, Joshua Newn, Hans Gellersen, Enrico Costanza, Thomas Heinis:
Speech-Augmented Cone-of-Vision for Exploratory Data Analysis. CHI 2023: 162:1-162:18 - [c58]Guang Yang, Liang Liang, Ali Hadian, Thomas Heinis:
FLIRT: A Fast Learned Index for Rolling Time frames. EDBT 2023: 234-246 - [c57]Ali Hadian, Behzad Ghaffari, Taiyi Wang, Thomas Heinis:
COAX: Correlation-Aware Indexing. ICDEW 2023: 55-59 - [c56]Liang Liang, Heting Zhang, Guang Yang, Thomas Heinis, Rosa Filgueira:
Optimization towards Efficiency and Stateful of dispel4py. SC Workshops 2023: 2021-2032 - [i8]Liang Liang, Heting Zhang, Guang Yang, Thomas Heinis, Rosa Filgueira:
Optimization towards Efficiency and Stateful of dispel4py. CoRR abs/2309.00595 (2023) - [i7]Gabriel della Maggiora, Luis Alberto Croquevielle, Nikita Desphande, Harry Horsley, Thomas Heinis, Artur Yakimovich:
Conditional Variational Diffusion Models. CoRR abs/2312.02246 (2023) - 2022
- [j16]Riccardo Bovo, Daniele Giunchi, Enrico Costanza, Anthony Steed, Thomas Heinis:
Mitigation strategies for participant non-attendance in VR remote collaborative experiments. Frontiers Comput. Sci. 4 (2022) - [j15]Liang Liang, Rosa Filgueira, Yan Yan, Thomas Heinis:
Scalable adaptive optimizations for stream-based workflows in multi-HPC-clusters and cloud infrastructures. Future Gener. Comput. Syst. 128: 102-116 (2022) - [j14]Riccardo Bovo, Daniele Giunchi, Muna Alebri, Anthony Steed, Enrico Costanza, Thomas Heinis:
Cone of Vision as a Behavioural Cue for VR Collaboration. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-27 (2022) - [j13]Eugenio Marinelli, Eddy Ghabach, Yiqing Yan, Thomas Bolbroe, Omer S. Sella, Thomas Heinis, Raja Appuswamy:
Digital Preservation with Synthetic DNA. Trans. Large Scale Data Knowl. Centered Syst. 51: 119-135 (2022) - [c55]Riccardo Bovo, Daniele Giunchi, Enrico Costanza, Anthony Steed, Thomas Heinis:
Shall I describe it or shall I move closer? Verbal references and locomotion in VR collaborative search tasks. ECSCW 2022 - [c54]Riccardo Bovo, Daniele Giunchi, Ludwig Sidenmark, Hans Gellersen, Enrico Costanza, Thomas Heinis:
Real-time head-based deep-learning model for gaze probability regions in collaborative VR. ETRA 2022: 6:1-6:8 - [c53]Riccardo Bovo, Daniele Giunchi, Anthony Steed, Thomas Heinis:
MR-RIEW: An MR Toolkit for Designing Remote Immersive Experiment Workflows. VR Workshops 2022: 766-767 - [e1]Holger Pirk, Thomas Heinis:
Proceedings of the The British International Conference on Databases 2021, London, United Kingdom, March 28, 2022. CEUR Workshop Proceedings 3163, CEUR-WS.org 2022 [contents] - [i6]Jasmine Quah, Omer S. Sella, Thomas Heinis:
DNA data storage, sequencing data-carrying DNA. CoRR abs/2205.05488 (2022) - 2021
- [c52]William Hunter, Thomas Heinis, Chandler Low:
Generating Synthetic Data for DNA Origami-based Information Storage Systems. BICOD 2021: 20-28 - [c51]Guang Yang, Thomas Heinis:
Distributed Spatiotemporal Distance Join for Trajectory Data. e-Science 2021: 108-117 - [c50]Ali Hadian, Thomas Heinis:
Shift-Table: A Low-latency Learned Index for Range Queries using Model Correction. EDBT 2021: 253-264 - [c49]Tiger Cross, Riccardo Bovo, Thomas Heinis:
Browsing Internet Content in Multiple Dimensions. EDBT/ICDT Workshops 2021 - [c48]Liang Liang, Guang Yang, Thomas Heinis, David Taniar:
SOJA: A Memory-efficent Smallâ€"large Outer Join for MPI. EDBT 2021: 523-528 - [c47]Giannis Evagorou, Abhirup Ghosh, Thomas Heinis:
HYPO: skew-resilient partitioning for trajectory datasets. LocalRec@SIGSPATIAL 2021: 5:1-5:10 - [c46]Omer S. Sella, Amir Apelbaum, Thomas Heinis, Jasmine Quah, Andrew W. Moore:
DNA archival storage, a bottom up approach. HotStorage 2021: 58-63 - [c45]Eugenio Marinelli, Eddy Ghabach, Thomas Bolbroe, Omer S. Sella, Thomas Heinis, Raja Appuswamy:
DNA4DNA: Preserving Culturally Significant Digital Data with Synthetic DNA. iPRES 2021 - [c44]Giannis Evagorou, Thomas Heinis:
MAMBO - Indexing Dead Space to Accelerate Spatial Queries✱. SSDBM 2021: 73-84 - [c43]Eva Gil San Antonio, Thomas Heinis, Louis Carteron, Melpomeni Dimopoulou, Marc Antonini:
Nanopore Sequencing Simulator for DNA Data Storage. VCIP 2021: 1-5 - [c42]Daniele Giunchi, Riccardo Bovo, Panayiotis Charalambous, Fotis Liarokapis, Alastair Shipman, Stuart James, Anthony Steed, Thomas Heinis:
Perceived Realism of Pedestrian Crowds Trajectories in VR. VRST 2021: 38:1-38:5 - [i5]Ali Hadian, Thomas Heinis:
Shift-Table: A Low-latency Learned Index for Range Queries using Model Correction. CoRR abs/2101.10457 (2021) - 2020
- [j12]Senaka Fernando, James Scott-Brown, Ovidiu Serban, David Birch, David Akroyd, Miguel Molina-Solana, Thomas Heinis, Yike Guo:
Open Visualization Environment (OVE): A web framework for scalable rendering of data visualizations. Future Gener. Comput. Syst. 112: 785-799 (2020) - [c41]Giannis Evagorou, Marco Lavalle, Thomas Heinis:
The Vantage Index: Executing Distance Queries at Scale. SSDBM 2020: 26:1-26:4 - [c40]Ali Hadian, Thomas Heinis:
MADEX: Learning-augmented Algorithmic Index Structures. AIDB@VLDB 2020 - [c39]Ali Hadian, Ankit Kumar, Thomas Heinis:
Hands-off Model Integration in Spatial Index Structures. AIDB@VLDB 2020 - [i4]Behzad Ghaffari, Ali Hadian, Thomas Heinis:
Leveraging Soft Functional Dependencies for Indexing Multi-dimensional Data. CoRR abs/2006.16393 (2020) - [i3]Ali Hadian, Ankit Kumar, Thomas Heinis:
Hands-off Model Integration in Spatial Index Structures. CoRR abs/2006.16411 (2020)
2010 – 2019
- 2019
- [c38]Raja Appuswamy, Kevin Le Brigand, Pascal Barbry, Marc Antonini, Olivier Madderson, Paul S. Freemont, James McDonald, Thomas Heinis:
OligoArchive: Using DNA in the DBMS storage hierarchy. CIDR 2019 - [c37]Thomas Heinis:
Neuromorphic Hardware As Database Co-Processors: Potential and Limitations. EDBT 2019: 694-697 - [c36]Ali Hadian, Thomas Heinis:
Interpolation-friendly B-trees: Bridging the Gap Between Algorithmic and Learned Indexes. EDBT 2019: 710-713 - [c35]Eleni Tzirita Zacharatou, Darius Sidlauskas, Farhan Tauheed, Thomas Heinis, Anastasia Ailamaki:
Efficient Bundled Spatial Range Queries. SIGSPATIAL/GIS 2019: 139-148 - [c34]Valentin Clement, Thomas Heinis:
Parameter Discovery in Unsupervised Clustering. ICDE 2019: 1634-1637 - [c33]Ali Hadian, Thomas Heinis:
Considerations for handling updates in learned index structures. aiDM@SIGMOD 2019: 3:1-3:4 - [i2]Thomas Heinis:
Survey of Information Encoding Techniques for DNA. CoRR abs/1906.11062 (2019) - 2018
- [c32]Mirjana Pavlovic, Darius Sidlauskas, Thomas Heinis, Anastasia Ailamaki:
QUASII: QUery-Aware Spatial Incremental Index. EDBT 2018: 325-336 - [c31]Ali Hadian, Thomas Heinis:
Towards Batch-Processing on Cold Storage Devices. ICDE Workshops 2018: 134-139 - [c30]Louis Blin, Ahsan Javed Awan, Thomas Heinis:
Using Neuromorphic Hardware for the Scalable Execution of Massively Parallel, Communication-Intensive Algorithms. UCC Companion 2018: 89-94 - [r1]Thomas Heinis, Adriane Chapman:
Provenance Storage. Encyclopedia of Database Systems (2nd ed.) 2018 - 2017
- [j11]Thomas Heinis, Anastasia Ailamaki:
Data Infrastructure for Medical Research. Found. Trends Databases 8(3): 131-238 (2017) - [j10]Tianrun Li, Thomas Heinis, Wayne Luk:
ADvaNCE - Efficient and Scalable Approximate Density-Based Clustering Based on Hashing. Informatica 28(1): 105-130 (2017) - [j9]Dong-Wan Choi, Jian Pei, Thomas Heinis:
Efficient Mining of Regional Movement Patterns in Semantic Trajectories. Proc. VLDB Endow. 10(13): 2073-2084 (2017) - [c29]Axel Oehmichen, Florian Guitton, Kai Sun, Jean Grizet, Thomas Heinis, Yike Guo:
eTRIKS analytical environment: A modular high performance framework for medical data analysis. IEEE BigData 2017: 353-360 - [c28]Thomas Heinis:
Neuromorphic Hardware As Database Co-Processors. CIDR 2017 - [c27]Giannis Evagorou, Thomas Heinis:
STATS - A Point Access Method for Multidimensional Clusters. DEXA (1) 2017: 352-361 - [c26]Matthaios Olma, Farhan Tauheed, Thomas Heinis, Anastasia Ailamaki:
BLOCK: Efficient Execution of Spatial Range Queries in Main-Memory. SSDBM 2017: 15:1-15:12 - 2016
- [c25]Tianrun Li, Thomas Heinis, Wayne Luk:
Hashing-Based Approximate DBSCAN. ADBIS 2016: 31-45 - [c24]Mirjana Pavlovic, Thomas Heinis, Farhan Tauheed, Panagiotis Karras, Anastasia Ailamaki:
TRANSFORMERS: Robust spatial joins on non-uniform data distributions. ICDE 2016: 673-684 - [c23]Mirjana Pavlovic, Eleni Tzirita Zacharatou, Darius Sidlauskas, Thomas Heinis, Anastasia Ailamaki:
Space odyssey: efficient exploration of scientific data. ExploreDB@SIGMOD/PODS 2016: 12-18 - [c22]Bruno R. C. Magalhães, Farhan Tauheed, Thomas Heinis, Anastasia Ailamaki, Felix Schürmann:
An Efficient Parallel Load-Balancing Framework for Orthogonal Decomposition of Geometrical Data. ISC 2016: 81-97 - 2015
- [j8]Thomas Heinis, David A. Ham:
On-the-Fly Data Synopses: Efficient Data Exploration in the Simulation Sciences. SIGMOD Rec. 44(2): 23-28 (2015) - [c21]Farhan Tauheed, Thomas Heinis, Anastasia Ailamaki:
Configuring Spatial Grids for Efficient Main Memory Joins. BICOD 2015: 199-205 - [c20]Tassos Venetis, Anastasia Ailamaki, Thomas Heinis, Manos Karpathiotakis, Ferath Kherif, Alexis Mitelpunkt, Vasilis Vassalos:
Towards the Identification of Disease Signatures. BIH 2015: 145-155 - [c19]Manos Karpathiotakis, Ioannis Alagiannis, Thomas Heinis, Miguel Branco, Anastasia Ailamaki:
Just-In-Time Data Virtualization: Lightweight Data Management with ViDa. CIDR 2015 - [c18]Thomas Heinis, Anastasia Ailamaki:
Reconsolidating Data Structures. EDBT 2015: 665-670 - [c17]Farhan Tauheed, Thomas Heinis, Anastasia Ailamaki:
THERMAL-JOIN: A Scalable Spatial Join for Dynamic Workloads. SIGMOD Conference 2015: 939-950 - [c16]Eleni Tzirita Zacharatou, Farhan Tauheed, Thomas Heinis, Anastasia Ailamaki:
RUBIK: efficient threshold queries on massive time series. SSDBM 2015: 18:1-18:12 - 2014
- [j7]Thomas Heinis:
Data analysis: Approximation aids handling of big data. Nat. 515(7526): 198 (2014) - [c15]Thomas Heinis, Farhan Tauheed, Anastasia Ailamaki:
Spatial Data Management Challenges in the Simulation Sciences. EDBT 2014: 217-222 - [c14]Farhan Tauheed, Thomas Heinis, Felix Schürmann, Henry Markram, Anastasia Ailamaki:
OCTOPUS: Efficient query execution on dynamic mesh datasets. ICDE 2014: 1000-1011 - 2013
- [j6]Thomas Heinis, Farhan Tauheed, Mirjana Pavlovic, Anastasia Ailamaki:
Enabling Scientific Discovery Via Innovative Spatial Data Management. IEEE Data Eng. Bull. 36(4): 3-10 (2013) - [c13]Farhan Tauheed, Sadegh Nobari, Laurynas Biveinis, Thomas Heinis, Anastasia Ailamaki:
Computational Neuroscience Breakthroughs through Innovative Data Management. ADBIS 2013: 14-27 - [c12]Alexandros Stougiannis, Farhan Tauheed, Thomas Heinis, Anastasia Ailamaki:
Accelerating spatial range queries. EDBT 2013: 713-716 - [c11]Sadegh Nobari, Farhan Tauheed, Thomas Heinis, Panagiotis Karras, Stéphane Bressan, Anastasia Ailamaki:
TOUCH: in-memory spatial join by hierarchical data-oriented partitioning. SIGMOD Conference 2013: 701-712 - [c10]Alexandros Stougiannis, Mirjana Pavlovic, Farhan Tauheed, Thomas Heinis, Anastasia Ailamaki:
Data-driven neuroscience: enabling breakthroughs via innovative data management. SIGMOD Conference 2013: 953-956 - [c9]Mirjana Pavlovic, Farhan Tauheed, Thomas Heinis, Anastasia Ailamaki:
GIPSY: joining spatial datasets with contrasting density. SSDBM 2013: 11:1-11:12 - 2012
- [j5]Farhan Tauheed, Thomas Heinis, Felix Schürmann, Henry Markram, Anastasia Ailamaki:
SCOUT: Prefetching for Latent Feature Following Queries. Proc. VLDB Endow. 5(11): 1531-1542 (2012) - [c8]Farhan Tauheed, Laurynas Biveinis, Thomas Heinis, Felix Schürmann, Henry Markram, Anastasia Ailamaki:
Accelerating Range Queries for Brain Simulations. ICDE 2012: 941-952 - [i1]Farhan Tauheed, Thomas Heinis, Felix Schürmann, Henry Markram, Anastasia Ailamaki:
SCOUT: Prefetching for Latent Feature Following Queries. CoRR abs/1208.0276 (2012) - 2011
- [j4]Thomas Heinis, Miguel Branco, Ioannis Alagiannis, Renata Borovica, Farhan Tauheed, Anastasia Ailamaki:
Challenges and Opportunities in Self-Managing Scientific Databases. IEEE Data Eng. Bull. 34(4): 44-52 (2011) - 2010
- [c7]Cristina Maier, Debabrata Dash, Ioannis Alagiannis, Anastasia Ailamaki, Thomas Heinis:
PARINDA: an interactive physical designer for PostgreSQL. EDBT 2010: 701-704
2000 – 2009
- 2009
- [b1]Thomas Heinis:
Workflow-based Services: Infrastructure for Scientific Applications. ETH Zurich, Zürich, Switzerland, 2009 - 2008
- [c6]Thomas Heinis, Cesare Pautasso:
Automatic Configuration of an Autonomic Controller: An Experimental Study with Zero-Configuration Policies. ICAC 2008: 67-76 - [c5]Thomas Heinis, Gustavo Alonso:
Efficient lineage tracking for scientific workflows. SIGMOD Conference 2008: 1007-1018 - 2007
- [j3]Cesare Pautasso, Thomas Heinis, Gustavo Alonso:
Autonomic resource provisioning for software business processes. Inf. Softw. Technol. 49(1): 65-80 (2007) - 2006
- [j2]Cesare Pautasso, Thomas Heinis, Gustavo Alonso:
JOpera: Autonomic Service Orchestration. IEEE Data Eng. Bull. 29(3): 32-39 (2006) - [j1]Aphrodite Tsalgatidou, George Athanasopoulos, Michael Pantazoglou, Cesare Pautasso, Thomas Heinis, Roy Grønmo, Hjørdis Hoff, Arne-Jørgen Berre, M. Glittum, Simela Topouzidou:
Developing scientific workflows from heterogeneous services. SIGMOD Rec. 35(2): 22-28 (2006) - [c4]Thomas Heinis, Cesare Pautasso, Gustavo Alonso:
Mirroring Resources or Mapping Requests: Implementing WS-RF for Grid Workflows. CCGRID 2006: 497-504 - 2005
- [c3]Thomas Heinis, Cesare Pautasso, Oliver Deak, Gustavo Alonso:
Publishing Persistent Grid Computations as WS Resources. e-Science 2005: 328-335 - [c2]Thomas Heinis, Cesare Pautasso, Gustavo Alonso:
Design and Evaluation of an Autonomic Workflow Engine. ICAC 2005: 27-38 - [c1]Cesare Pautasso, Thomas Heinis, Gustavo Alonso:
Autonomic Execution of Web Service Compositions. ICWS 2005: 435-442
Coauthor Index
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last updated on 2024-10-07 22:08 CEST by the dblp team
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