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2020 – today
- 2024
[c31]Jicheng Yuan, Anh Le-Tuan, Manh Nguyen-Duc, Trung-Kien Tran, Manfred Hauswirth, Danh Le Phuoc:
VisionKG: Unleashing the Power of Visual Datasets via Knowledge Graph. ESWC (2) 2024: 75-93- [c30]Trung-Kien Tran, Ha-Phuong Tran, Thi-Lan Le, Thanh-Hai Tran:
FedNTProto: A Prototype-Based Approach for Personalized Federated Learning. MAPR 2024: 1-6 - [i7]Daniel Daza, Cuong Xuan Chu, Trung-Kien Tran, Daria Stepanova, Michael Cochez, Paul Groth:
Explaining Graph Neural Networks for Node Similarity on Graphs. CoRR abs/2407.07639 (2024) - [i6]Yuqicheng Zhu, Nico Potyka, Bo Xiong, Trung-Kien Tran, Mojtaba Nayyeri, Evgeny Kharlamov, Steffen Staab:
Approximating Probabilistic Inference in Statistical EL with Knowledge Graph Embeddings. CoRR abs/2407.11821 (2024) - 2023
- [c29]Trung-Hieu Le, Thai-Khanh Nguyen, Trung-Kien Tran, Thanh-Hai Tran, Cuong Pham:
GAFormer: Wearable IMU-Based Human Activity Recognition with Gramian Angular Field and Transformer. APSIPA ASC 2023: 297-303 - [c28]Medina Andresel
, Trung-Kien Tran, Csaba Domokos, Pasquale Minervini, Daria Stepanova:
Combining Inductive and Deductive Reasoning for Query Answering over Incomplete Knowledge Graphs. CIKM 2023: 15-24 - [c27]Cuong Chu Xuan, Mohamed H. Gad-Elrab, Trung-Kien Tran, Marvin Schiller, Evgeny Kharlamov, Daria Stepanova:
Supplier Optimization at Bosch with Knowledge Graphs and Answer Set Programming. ESWC (Satellite Events) 2023: 200-204 - [c26]Youmna Ismaeil, Daria Stepanova, Trung-Kien Tran, Hendrik Blockeel:
FeaBI: A Feature Selection-Based Framework for Interpreting KG Embeddings. ISWC 2023: 599-617 - [c25]Huu Tan Mai, Youmna Ismaeil, Daria Stepanova, Trung-Kien Tran, Hendrik Blockeel:
Look beyond the Surface: A Demo for Explaining Knowledge Graph Embeddings and Entity Similarity. ISWC (Posters/Demos/Industry) 2023 - [c24]Yuqicheng Zhu, Nico Potyka, Bo Xiong, Trung-Kien Tran, Mojtaba Nayyeri, Steffen Staab, Evgeny Kharlamov:
Towards Statistical Reasoning with Ontology Embeddings. ISWC (Posters/Demos/Industry) 2023 - [i5]Jicheng Yuan, Anh Le-Tuan, Manh Nguyen-Duc, Trung-Kien Tran, Manfred Hauswirth, Danh Le Phuoc:
VisionKG: Unleashing the Power of Visual Datasets via Knowledge Graph. CoRR abs/2309.13610 (2023) - 2022
- [c23]Baifan Zhou, Zhuoxun Zheng, Dongzhuoran Zhou, Gong Cheng, Ernesto Jiménez-Ruiz, Trung-Kien Tran, Daria Stepanova, Mohamed H. Gad-Elrab, Nikolay Nikolov, Ahmet Soylu, Evgeny Kharlamov:
The Data Value Quest: A Holistic Semantic Approach at Bosch. ESWC (Satellite Events) 2022: 287-290 - [c22]Cheick T. Cissé, Ahed Alboody, Matthieu Puigt, Gilles Roussel, Vincent Vantrepotte, Cédric Jamet, Trung-Kien Tran:
A New Deep Learning Method for Multispectral Image Time Series Completion Using Hyperspectral Data. ICASSP 2022: 1546-1550 - [c21]Bo Xiong, Nico Potyka, Trung-Kien Tran, Mojtaba Nayyeri, Steffen Staab:
Faithful Embeddings for Eℒ++ Knowledge Bases. ISWC 2022: 22-38 - [c20]Youmna Ismaeil, Daria Stepanova, Trung-Kien Tran, Piyapat Saranrittichai, Csaba Domokos, Hendrik Blockeel:
Towards Neural Network Interpretability Using Commonsense Knowledge Graphs. ISWC 2022: 74-90 - [c19]Baifan Zhou, Zhipeng Tan, Zhuoxun Zheng, Dongzhuoran Zhou, Yunjie He, Yuqicheng Zhu, Muhammad Yahya, Trung-Kien Tran, Daria Stepanova, Mohamed H. Gad-Elrab, Evgeny Kharlamov:
Neuro-Symbolic AI at Bosch: Data Foundation, Insights, and Deployment. ISWC (Posters/Demos/Industry) 2022 - [c18]Ahed Alboody, Matthieu Puigt, Gilles Roussel, Vincent Vantrepotte, Cédric Jamet, Trung-Kien Tran:
Deepsen3: Deep Multi-Scale Learning Model For Spatial-Spectral Fusion Of Sentinel-2 And Sentinel-3 Remote Sensing Images. WHISPERS 2022: 1-5 - [i4]Trung-Kien Tran, Anh Le-Tuan, Manh Nguyen Duc, Jicheng Yuan, Danh Le Phuoc:
Fantastic Data and How to Query Them. CoRR abs/2201.05026 (2022) - [i3]Bo Xiong, Nico Potyka, Trung-Kien Tran, Mojtaba Nayyeri, Steffen Staab:
Box Embeddings for the Description Logic EL++. CoRR abs/2201.09919 (2022) - [i2]Anh Le-Tuan, Manh Nguyen Duc, Chien-Quang Le, Trung-Kien Tran, Manfred Hauswirth, Thomas Eiter, Danh Le Phuoc:
CQELS 2.0: Towards A Unified Framework for Semantic Stream Fusion. CoRR abs/2202.13958 (2022) - 2021
- [c17]Yuxuan Shi, Gong Cheng, Trung-Kien Tran, Jie Tang, Evgeny Kharlamov:
Keyword-Based Knowledge Graph Exploration Based on Quadratic Group Steiner Trees. IJCAI 2021: 1555-1562 - [c16]Nitisha Jain, Trung-Kien Tran, Mohamed H. Gad-Elrab, Daria Stepanova:
Improving Knowledge Graph Embeddings with Ontological Reasoning. ISWC 2021: 410-426 - [c15]Anh Lê Tuán, Trung-Kien Tran, Duc Manh Nguyen, Jicheng Yuan, Manfred Hauswirth, Danh Le Phuoc:
VisionKG: Towards A Unified Vision Knowledge Graph. ISWC (Posters/Demos/Industry) 2021 - [c14]Yuxuan Shi, Gong Cheng, Trung-Kien Tran, Evgeny Kharlamov, Yulin Shen:
Efficient Computation of Semantically Cohesive Subgraphs for Keyword-Based Knowledge Graph Exploration. WWW 2021: 1410-1421 - [i1]Medina Andresel, Csaba Domokos, Daria Stepanova, Trung-Kien Tran:
A Neural-symbolic Approach for Ontology-mediated Query Answering. CoRR abs/2106.14052 (2021) - 2020
- [c13]Mohamed H. Gad-Elrab, Daria Stepanova, Trung-Kien Tran, Heike Adel, Gerhard Weikum:
ExCut: Explainable Embedding-Based Clustering over Knowledge Graphs. ISWC (1) 2020: 218-237 - [c12]Mohamed H. Gad-Elrab, Vinh Thinh Ho, Evgeny Levinkov, Trung-Kien Tran, Daria Stepanova:
Towards Utilizing Knowledge Graph Embedding Models for Conceptual Clustering. ISWC (Demos/Industry) 2020: 281-286 - [c11]Trung-Kien Tran, Mohamed H. Gad-Elrab, Daria Stepanova, Evgeny Kharlamov, Jannik Strötgen:
Fast Computation of Explanations for Inconsistency in Large-Scale Knowledge Graphs. WWW 2020: 2613-2619
2010 – 2019
- 2019
- [c10]Jannik Strötgen, Trung-Kien Tran, Annemarie Friedrich, Dragan Milchevski, Federico Tomazic, Anika Marusczyk, Heike Adel, Daria Stepanova, Felix Hildebrand, Evgeny Kharlamov:
Towards the Bosch Materials Science Knowledge Base. ISWC (Satellites) 2019: 323-324 - 2017
- [c9]Birte Glimm, Yevgeny Kazakov, Trung-Kien Tran:
Ontology Materialization by Abstraction Refinement in Horn SHOIF. AAAI 2017: 1114-1120 - 2016
- [c8]Birte Glimm, Yevgeny Kazakov, Trung-Kien Tran:
Ontology Materialization by Abstraction Refinement in Horn SHOIF. Description Logics 2016 - [c7]Birte Glimm, Yevgeny Kazakov, Trung-Kien Tran:
Scalable Reasoning by Abstraction Beyond DL-Lite. RR 2016: 77-93 - 2015
- [b1]Trung-Kien Tran:
Large scale retinal modeling for the design of new generation retinal prostheses. University of Nottingham, UK, 2015 - 2014
- [c6]Birte Glimm, Yevgeny Kazakov, Thorsten Liebig, Trung-Kien Tran, Vincent Vialard:
Abstraction Refinement for Ontology Materialization. Description Logics 2014: 185-196 - [c5]Birte Glimm, Yevgeny Kazakov, Thorsten Liebig, Trung-Kien Tran, Vincent Vialard:
Abstraction Refinement for Ontology Materialization. ISWC (2) 2014: 180-195 - 2013
- [j1]Christophe Debruyne, Trung-Kien Tran, Robert Meersman:
Grounding Ontologies with Social Processes and Natural Language. J. Data Semant. 2(2-3): 89-118 (2013) - 2012
- [c4]Thomas Eiter, Magdalena Ortiz, Mantas Simkus, Trung-Kien Tran, Guohui Xiao:
Query Rewriting for Horn-SHIQ Plus Rules. AAAI 2012: 726-733 - [c3]Thomas Eiter, Magdalena Ortiz, Mantas Simkus, Trung-Kien Tran, Guohui Xiao:
Towards Practical Query Answering for Horn-SHIQ. Description Logics 2012 - [c2]Trung-Kien Tran, Christophe Debruyne:
Towards Using OWL Integrity Constraints in Ontology Engineering. OTM Workshops 2012: 282-285 - [c1]Yan Tang Demey, Trung-Kien Tran:
Using $\mathcal{SOIQ}$ (D) to Formalize Semantics within a Semantic Decision Table. RuleML 2012: 224-239
Coauthor Index
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