Brief Bio

I am a PhD student at the eXascale Infolab working on a project involving machine learning and crowdsourcing to build the next-generation of Recommender Systems. I hold a Bachelor’s degree in Computer Science from the University of Torino (Italy) and a Master’s degree in Computer Engineering from the University of Pavia (Italy). During my university career I have been participating in many exchange programs, such as, Erasmus at Technical University of Lodz (Poland) and exchange study program at Tongji University in Shanghai (China). Additionally, I have written my master thesis at HLRS in Stuttgart (Germany) in collaboration with the Performance Evaluation Group of the University of Pavia. Afterwards, I have done the Erasmus traineeship at HLRS in Stuttgart (Germany) in which I have developed a platform used to benchmark different architectures for High Performance Computing.

Bibliography

1. Yasamin Eslahi, Akansha Bhardwaj, Paolo Rosso, Kurt Stockinger, and Philippe Cudré-Mauroux. “Annotating Web Tables through Knowledge Bases: A Context-Based Approach.” In 2020 7th Swiss Conference on Data Science (SDS). IEEE, 2020. Bibtex PDF

   Annotating Web Tables through Knowledge Bases: A Context-Based Approach

   Yasamin Eslahi, Akansha Bhardwaj, Paolo Rosso, Kurt Stockinger, and Philippe Cudré-Mauroux. “Annotating Web Tables through Knowledge Bases: A Context-Based Approach.” In 2020 7th Swiss Conference on Data Science (SDS). IEEE, 2020.

   @inproceedings{eslahi2020annotating,
     author = {Eslahi, Yasamin and Bhardwaj, Akansha and Rosso, Paolo and Stockinger, Kurt and Cudr{\'e}-Mauroux, Philippe},
     title = {Annotating Web Tables through Knowledge Bases: A Context-Based Approach},
     booktitle = {2020 7th Swiss Conference on Data Science (SDS)},
     year = {2020},
     organization = {IEEE},
     url = {https://exascale.info/assets/pdf/eslahi2020sds.pdf}
   }
   

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2. Paolo Rosso, Dingqi Yang, and Philippe Cudré-Mauroux. “Beyond Triplets: Hyper-Relational Knowledge Graph Embedding for Link Prediction.” In Proceedings of The Web Conference (WWW 2020). Taipei, Taiwan, 2020. Bibtex PDF Code

   Beyond Triplets: Hyper-Relational Knowledge Graph Embedding for Link Prediction

   Paolo Rosso, Dingqi Yang, and Philippe Cudré-Mauroux. “Beyond Triplets: Hyper-Relational Knowledge Graph Embedding for Link Prediction.” In Proceedings of The Web Conference (WWW 2020). Taipei, Taiwan, 2020.

   @inproceedings{rosso2020www,
     title = {Beyond Triplets: Hyper-Relational Knowledge Graph Embedding for Link Prediction},
     author = {Rosso, Paolo and Yang, Dingqi and Cudr{\'e}-Mauroux, Philippe},
     booktitle = {Proceedings of The Web Conference (WWW 2020)},
     year = {2020},
     address = {Taipei, Taiwan},
     code = {https://github.com/eXascaleInfolab/HINGE_code},
     url = {https://exascale.info/assets/pdf/rosso2020www.pdf}
   }
   

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3. Paolo Rosso, Dingqi Yang, and Philippe Cudré-Mauroux. “Revisiting Text and Knowledge Graph Joint Embeddings: The Amount of Shared Information Matters!.” In BigData, 2019. Bibtex PDF Code

   Revisiting Text and Knowledge Graph Joint Embeddings: The Amount of Shared Information Matters!

   Paolo Rosso, Dingqi Yang, and Philippe Cudré-Mauroux. “Revisiting Text and Knowledge Graph Joint Embeddings: The Amount of Shared Information Matters!.” In BigData, 2019.

   @inproceedings{rosso2019bigdata,
     author = {Rosso, Paolo and Yang, Dingqi and Cudr{\'{e}}{-}Mauroux, Philippe},
     title = {Revisiting Text and Knowledge Graph Joint Embeddings: The Amount of Shared Information Matters!},
     booktitle = {BigData},
     year = {2019},
     code = {https://github.com/eXascaleInfolab/JOINER_code},
     url = {https://exascale.info/assets/pdf/rosso2019bigdata.pdf}
   }
   

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4. Dingqi Yang, Paolo Rosso, Bin Li, and Philippe Cudre-Mauroux. “NodeSketch: Highly-Efficient Graph Embeddings via Recursive Sketching.” In Proceedings of ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019), 2019. Bibtex PDF

   NodeSketch: Highly-Efficient Graph Embeddings via Recursive Sketching

   Dingqi Yang, Paolo Rosso, Bin Li, and Philippe Cudre-Mauroux. “NodeSketch: Highly-Efficient Graph Embeddings via Recursive Sketching.” In Proceedings of ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019), 2019.

   @inproceedings{yang2019nodesketch,
     title = {NodeSketch: Highly-Efficient Graph Embeddings via Recursive Sketching},
     author = {Yang, Dingqi and Rosso, Paolo and Li, Bin and Cudre-Mauroux, Philippe},
     booktitle = {Proceedings of ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019)},
     year = {2019},
     url = {https://exascale.info/assets/pdf/yang2019nodesketch.pdf}
   }
   

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5. Paolo Rosso, Dingqi Yang, and Philippe Cudré-Mauroux. “Knowledge Graph Embeddings.” In Encyclopedia of Big Data Technologies., 2019. Bibtex PDF

   Knowledge Graph Embeddings

   Paolo Rosso, Dingqi Yang, and Philippe Cudré-Mauroux. “Knowledge Graph Embeddings.” In Encyclopedia of Big Data Technologies., 2019.

   @incollection{rosso2018bigdata,
     author = {Rosso, Paolo and Yang, Dingqi and Cudr{\'{e}}{-}Mauroux, Philippe},
     title = {Knowledge Graph Embeddings},
     booktitle = {Encyclopedia of Big Data Technologies.},
     year = {2019},
     doi = {10.1007/978-3-319-63962-8\_284-1},
     timestamp = {Thu, 14 Feb 2019 16:03:55 +0100},
     url = {https://exascale.info/assets/pdf/rosso2018bigdata.pdf}
   }
   

   ×