Jinghua Groppe
- Research Assistant -
Ratzeburger Allee 160
23562 Lübeck
Gebäude 64, 2. OG
| Email: | jinghua.groppe(at)uni-luebeck.de |
| Phone: | +49 451 3101 5711 |
Curriculum Vitae
- Ich habe Informatik an der Universiteit van Amsterdam studiert mit erfolgreichem Masterabschluß in 2001 .
- 2001 - 2005 als wissenschaftliche Mitarbeiterin an der Universität Paderborn.
- 2005 - 2006 als wissenschaftliche Mitarbeiterin an der Universität Innsbruck.
- März 2008 bis Juli 2010 als wissenschaftliche Mitarbeiterin am Institut für Informationssysteme an der Universität zu Lübeck tätig und promovierte zum Dr. rer. nat.
- 2011-2013 als Lehrbeauftragte an der Technischen Hochschule Lübeck
- Oktober 2019 - September 2024 als wissenschaftliche Mitarbeiterin am Institut für Informationssysteme der Universität zu Lübeck in den Projekten Mittelstand 4.0 und PeT-HMR tätig
Publications
2025
Sarika
Jain,
Priyanka
Sukul,
Jinghua
Groppe,
Benjamin
Warnke,
Pooja
Harde,
Ritik
Jangid,
Waqas
Rehan,
Yuri
Cotrado,
Stefan
Fischer, and
Sven
Groppe,
A scientometric analysis of reviews on the Internet of Things, The Journal of Supercomputing , vol. 81, no. 6, Apr. 2025. Springer Science and Business Media LLC.
A scientometric analysis of reviews on the Internet of Things, The Journal of Supercomputing , vol. 81, no. 6, Apr. 2025. Springer Science and Business Media LLC.
| File: | s11227-025-07230-w |
Akasha-Leonie
Kessel,
Soror
Sahri,
Sven
Groppe,
Jinghua
Groppe,
Hanieh
Khorashadizadeh,
Marc
Pignal,
Eva Perez
Pimparé, and
Régine
Vignes-Lebbe,
Impact of Chatbots on User Experience and Data Quality on Citizen Science Platforms, Computers , vol. 14, no. 1, Jan. 2025.
Impact of Chatbots on User Experience and Data Quality on Citizen Science Platforms, Computers , vol. 14, no. 1, Jan. 2025.
| File: | computers14010021 |
Akasha-Leonie
Kessel,
Sven
Groppe,
Dominik
Röpert, and
Jinghua
Groppe,
Ai-supported analysis and classification of digitized botanical collections, in 11th International Conference on Machine Learning, Optimization, and Data Science (LOD), Tuscany, Italy , 2025.
Ai-supported analysis and classification of digitized botanical collections, in 11th International Conference on Machine Learning, Optimization, and Data Science (LOD), Tuscany, Italy , 2025.
Jinghua
Groppe,
Andreas
Marquet,
Annabel
Walz, and
Sven
Groppe,
Automated Archival Descriptions with Federated Intelligence of LLMs, in The 36th International Conference on Database and Expert Systems Applications (DEXA), Bangkok, Thailand , 2025.
Automated Archival Descriptions with Federated Intelligence of LLMs, in The 36th International Conference on Database and Expert Systems Applications (DEXA), Bangkok, Thailand , 2025.
| File: | 978-3-032-02049-9_4 |
Hanieh
Khorashadizadeh,
Sanju
Tiwari,
Farah
Benamara,
Nandana
Mihindukulasooriya,
Jinghua
Groppe,
Soror
Sahri,
Morteza
Ezzabady,
Frédéric
Ieng, and
Sven
Groppe,
EcoRAG: A Multi-hop Economic QA Benchmark for Retrieval Augmented Generation Using Knowledge Graphs, in Natural Language Processing and Information Systems (NLDB), Kanazawa, Japan , 2025. pp. 163–173.
EcoRAG: A Multi-hop Economic QA Benchmark for Retrieval Augmented Generation Using Knowledge Graphs, in Natural Language Processing and Information Systems (NLDB), Kanazawa, Japan , 2025. pp. 163–173.
| File: | 978-3-031-97144-0_15 |
Anna
Osipjan,
Hanieh
Khorashadizadeh,
Akasha-Leonie
Kessel,
Sven
Groppe, and
Jinghua
Groppe,
GraphTrace: A Modular Retrieval Framework Combining Knowledge Graphs and Large Language Models for Multi-Hop Question Answering, Computers , vol. 14, no. 9, 2025. MDPI AG.
GraphTrace: A Modular Retrieval Framework Combining Knowledge Graphs and Large Language Models for Multi-Hop Question Answering, Computers , vol. 14, no. 9, 2025. MDPI AG.
| File: | computers14090382 |
Sven
Groppe,
Valter
Uotila, and
Jinghua
Groppe,
Opportunities and Challenges for Data Quality in the Era of Quantum Computing, arXiv , vol. 2512.00870, 2025.
Opportunities and Challenges for Data Quality in the Era of Quantum Computing, arXiv , vol. 2512.00870, 2025.
| File: | arxiv.2512.00870 |
Umut
Çalıkyılmaz,
Nitin
Nayak,
Jinghua
Groppe, and
Sven
Groppe,
OptiMA: A Transaction-Based Framework with Throughput Optimization for Very Complex Multi-Agent Systems, arXiv , vol. 2511.03761, 2025.
OptiMA: A Transaction-Based Framework with Throughput Optimization for Very Complex Multi-Agent Systems, arXiv , vol. 2511.03761, 2025.
| File: | arxiv.2511.03761 |
Jinghua
Groppe,
Nitin
Nayak,
Tobias
Winker,
Umut
Çalıkyılmaz, and
Sven
Groppe,
"QC4DB: Beschleunigung von relationalen Datenbankmanagementsystemen durch Quantenrechner Teilvorhaben: Datenbank Optimierungen (DBOpt)" Hannover : Technische Informationsbibliothek, 2025.
"QC4DB: Beschleunigung von relationalen Datenbankmanagementsystemen durch Quantenrechner Teilvorhaben: Datenbank Optimierungen (DBOpt)" Hannover : Technische Informationsbibliothek, 2025.
| File: | 24530 |
Tobias
Winker,
Jinghua
Groppe, and
Sven
Groppe,
QCardEst/QCardCorr: Quantum Cardinality Estimation and Correction, arXiv , vol. 2509.08817, 2025.
QCardEst/QCardCorr: Quantum Cardinality Estimation and Correction, arXiv , vol. 2509.08817, 2025.
| File: | ARXIV.2509.08817 |
Nitin
Nayak,
Alexandru
Prisacaru,
Umut
Çalıkyılmaz,
Jinghua
Groppe, and
Sven
Groppe,
Quantum-Enhanced Transaction Scheduling with Reduced Complexity via Solving QUBO Iteratively using a Locking Mechanism, in 2nd International Workshop on Quantum Computing and Quantum-Inspired Technology for Data-Intensive Systems and Applications (Q-Data), Berlin, Germany , 2025.
Quantum-Enhanced Transaction Scheduling with Reduced Complexity via Solving QUBO Iteratively using a Locking Mechanism, in 2nd International Workshop on Quantum Computing and Quantum-Inspired Technology for Data-Intensive Systems and Applications (Q-Data), Berlin, Germany , 2025.
| File: | 3736393.3736701 |
2024
T.
Kar,
P.
Kanungo,
Sachi Nandan
Mohanty,
Sven
Groppe, and
Jinghua
Groppe,
Video Shot-boundary detection: Issues, challenges and solutions, Artificial Intelligence Review , vol. 57, no. 4, 2024.
Video Shot-boundary detection: Issues, challenges and solutions, Artificial Intelligence Review , vol. 57, no. 4, 2024.
| File: | s10462-024-10742-1 |
Jinghua
Groppe,
Sven
Groppe,
Daniel
Senf, and
Ralf
Möller,
There Are Infinite Ways to Formulate Code: How to Mitigate the Resulting Problems for Better Software Vulnerability Detection, Information , vol. 15, no. 4, 2024.
There Are Infinite Ways to Formulate Code: How to Mitigate the Resulting Problems for Better Software Vulnerability Detection, Information , vol. 15, no. 4, 2024.
| File: | info15040216 |
Martin
Vogrin,
Rok
Vogrin,
Sven
Groppe, and
Jinghua
Groppe,
Supervised Learning on Relational Databases with Quantum Graph Neural Networks, in VLDB 2024 Workshop: The Second International Workshop on Quantum Data Science and Management (QDSM’24), Guangzhou, China , 2024.
Supervised Learning on Relational Databases with Quantum Graph Neural Networks, in VLDB 2024 Workshop: The Second International Workshop on Quantum Data Science and Management (QDSM’24), Guangzhou, China , 2024.
| File: |
Hanieh
Khorashadizadeh,
Fatima Zahra
Amara,
Morteza
Ezzabady,
Frédéric
Ieng,
Sanju
Tiwari,
Nandana
Mihindukulasooriya,
Jinghua
Groppe,
Soror
Sahri,
Farah
Benamara, and
Sven
Groppe,
Research Trends for the Interplay between Large Language Models and Knowledge Graphs, in VLDB 2024 Workshop: The International Workshop on Data Management Opportunities in Unifying Large Language Models + Knowledge Graphs (LLM+KG), Guangzhou, China , 2024.
Research Trends for the Interplay between Large Language Models and Knowledge Graphs, in VLDB 2024 Workshop: The International Workshop on Data Management Opportunities in Unifying Large Language Models + Knowledge Graphs (LLM+KG), Guangzhou, China , 2024.
| File: |
Benjamin
Warnke,
Kevin
Martens,
Tobias
Winker,
Sven
Groppe,
Jinghua
Groppe,
Prasad
Adhiyaman,
Sruthi
Srinivasan, and
Shridevi
Krishnakumar,
ReJOOSp: Reinforcement Learning for Join Order Optimization in SPARQL, Big Data and Cognitive Computing (BDCC) , vol. 8, no. 7, 2024.
ReJOOSp: Reinforcement Learning for Join Order Optimization in SPARQL, Big Data and Cognitive Computing (BDCC) , vol. 8, no. 7, 2024.
| File: | bdcc8070071 |
Nitin
Nayak,
Tobias
Winker,
Umut
Çalıkyılmaz,
Sven
Groppe, and
Jinghua
Groppe,
Quantum Join Ordering by Splitting the Search Space of QUBO Problems, Datenbank-Spektrum , vol. 24, no. 1, pp. 21-32, 2024.
Quantum Join Ordering by Splitting the Search Space of QUBO Problems, Datenbank-Spektrum , vol. 24, no. 1, pp. 21-32, 2024.
| File: | s13222-024-00468-3 |
Hanieh
Khorashadizadeh,
Nandana
Mihindukulasooriya,
Nilufar
Ranji,
Morteza
Ezzabady,
Frédéric
Ieng,
Jinghua
Groppe,
Farah
Benamara, and
Sven
Groppe,
Construction and Canonicalization of Economic Knowledge Graphs with LLMs, in International Knowledge Graph and Semantic Web Conference (KGSWC) , Springer Nature Switzerland, 2024. pp. 334–343.
Construction and Canonicalization of Economic Knowledge Graphs with LLMs, in International Knowledge Graph and Semantic Web Conference (KGSWC) , Springer Nature Switzerland, 2024. pp. 334–343.
| ISBN: | 9783031812217 |
| File: | 978-3-031-81221-7_23 |
Hanieh
Khorashadizadeh,
Jinghua
Groppe,
Jessica
Lückert,
Sanju
Tiwari, and
Sven
Groppe,
Assessing the Impact of Government Policies on Covid-19 Spread: A Machine Learning Approach, in 10th International Conference on Machine Learning, Optimization, and Data Science (LOD), Tuscany, Italy , 2024.
Assessing the Impact of Government Policies on Covid-19 Spread: A Machine Learning Approach, in 10th International Conference on Machine Learning, Optimization, and Data Science (LOD), Tuscany, Italy , 2024.
2023
Hanieh
Khorashadizadeh,
Nandana
Mihindukulasooriya,
Sanju
Tiwari,
Jinghua
Groppe, and
Sven
Groppe,
Exploring In-Context Learning Capabilities of Foundation Models for Generating Knowledge Graphs from Text, CoRR , vol. abs/2305.08804, 2023.
Exploring In-Context Learning Capabilities of Foundation Models for Generating Knowledge Graphs from Text, CoRR , vol. abs/2305.08804, 2023.
| File: | arXiv.2305.08804 |
| Bibtex: | @inproceedings{Khorashadizadeh2023Text2KGInContextLearning,
title = {Exploring In-Context Learning Capabilities of Foundation Models for Generating Knowledge Graphs from Text},
author = {Hanieh Khorashadizadeh and Nandana Mihindukulasooriya and Sanju Tiwari and Jinghua Groppe and Sven Groppe},
booktitle = {Proceedings of the 2nd International Workshop on Knowledge Graph Generation From Text (Text2KG) in conjunction with the Extended Semantic Web Conference (ESWC 2023), Hersonissos, Greece},
year = {2023},
url = {https://ceur-ws.org/Vol-3447/Text2KG_Paper_9.pdf}
} |
Le
Gruenwald,
Tobias
Winker,
Umut
Çalıkyılmaz,
Jinghua
Groppe, and
Sven
Groppe,
Index Tuning with Machine Learning on Quantum Computers for Large-Scale Database Applications, in Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023) - International Workshop on Quantum Data Science and Management (QDSM'23), Vancouver, Canada , CEUR-WS.org, 2023.
Index Tuning with Machine Learning on Quantum Computers for Large-Scale Database Applications, in Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023) - International Workshop on Quantum Data Science and Management (QDSM'23), Vancouver, Canada , CEUR-WS.org, 2023.
| File: | |
| Bibtex: | @inproceedings{Gruenwald2023IndexTuning,
title = {Index Tuning with Machine Learning on Quantum Computers for Large-Scale Database Applications},
author = {Le Gruenwald and Tobias Winker and Umut Çalıkyılmaz and Jinghua Groppe and Sven Groppe},
booktitle = {Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases ({VLDB} 2023) - International Workshop on Quantum Data Science and Management (QDSM'23), Vancouver, Canada},
year = {2023},
url = {https://ceur-ws.org/Vol-3462/QDSM5.pdf}
} |
Umut
Çalıkyılmaz,
Sven
Groppe,
Jinghua
Groppe,
Tobias
Winker,
Stefan
Prestel,
Farida
Shagieva,
Daanish
Arya,
Florian
Preis, and
Le
Gruenwald,
Opportunities for Quantum Acceleration of Databases: Optimization of Queries and Transaction Schedules, Proc. VLDB Endow. , vol. 16, no. 9, pp. 2344--2353, 2023.
Opportunities for Quantum Acceleration of Databases: Optimization of Queries and Transaction Schedules, Proc. VLDB Endow. , vol. 16, no. 9, pp. 2344--2353, 2023.
| File: | 3598581.3598603 |
| Bibtex: | @article{Calıkyilmaz2023QC_QO_TSO,
title = {Opportunities for Quantum Acceleration of Databases: Optimization of Queries and Transaction Schedules},
author = {Umut Çalıkyılmaz and Sven Groppe and Jinghua Groppe and Tobias Winker and Stefan Prestel and Farida Shagieva and Daanish Arya and Florian Preis and Le Gruenwald},
journal = {Proc. {VLDB} Endow.},
volume = {16},
number = {9},
pages = {2344--2353},
year = {2023},
url = {https://doi.org/10.14778/3598581.3598603}
} |
Jinghua
Groppe,
Sven
Groppe, and
Ralf
Möller,
Variables are a Curse in Software Vulnerability Prediction, in The 34th International Conference on Database and Expert Systems Applications (DEXA), Panang, Malaysia , 2023.
Variables are a Curse in Software Vulnerability Prediction, in The 34th International Conference on Database and Expert Systems Applications (DEXA), Panang, Malaysia , 2023.
| File: | 978-3-031-39847-6_41 |
2022
Jinghua
Groppe,
Rene
Schlichting,
Sven
Groppe, and
Ralf
Möller,
Deep Learning-Based Classification of Customer Communications of a German Utility Company, in International Semantic Intelligence Conference (ISIC 2022), online , 2022.
Deep Learning-Based Classification of Customer Communications of a German Utility Company, in International Semantic Intelligence Conference (ISIC 2022), online , 2022.
| File: | 978-981-19-7126-6_16 |
Sven
Groppe,
Jinghua
Groppe,
Umut
Çalıkyılmaz,
Tobias
Winker, and
Le
Gruenwald,
Quantum Data Management and Quantum Machine Learning for Data Management: State-of-the-Art and Open Challenges, in Proceedings of the EAI International Conference on Intelligent Systems and Machine Learning (EAI ICISML 2022) , 2022.
Quantum Data Management and Quantum Machine Learning for Data Management: State-of-the-Art and Open Challenges, in Proceedings of the EAI International Conference on Intelligent Systems and Machine Learning (EAI ICISML 2022) , 2022.
| File: | 978-3-031-35081-8_20 |

- Team
- Umut Çalıkyılmaz
- Timon Dohnke
- Rebecca von Engelhardt
- Björn Filter
- Nils Fußgänger
- Jinghua Groppe
- Sven Groppe
- Tobias Groth
- Mattis Hartwig
- Nils Wendel Heinrich
- Akasha Kessel
- Hanieh Khorashadizadeh
- Malte Luttermann
- Jörg-Uwe Meyer
- Jeannette Mödlhammer
- Nitin Nayak
- Simon Paasche
- Michael Preisig
- Nele Rußwinkel
- Simon Schiff
- Tim Schulz
- Thomas Sievers
- Tobias Winker
- Alumni
