We stand with Ukraine

We stand with Ukraine

Yu Chen

Orcid: 0000-0003-0966-8026

Affiliations:

Rensselaer Polytechnic Institute, Computer Science Department, Troy, NY, USA

According to our database¹, Yu Chen authored at least 18 papers between 2017 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

Online presence:

on orcid.org

On csauthors.net:

Bibliography

2023

Graph Neural Networks for Natural Language Processing: A Survey.

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Found. Trends Mach. Learn., 2023

2022

Compact Graph Structure Learning via Mutual Information Compression.

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CoRR, 2022

2021

Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph.

[BibT_eX]

[DOI]

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Ananya Subburathinam

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Mohammed J. Zaki

Proceedings of the WSDM '21, 2021

Deep Learning on Graphs for Natural Language Processing.

[BibT_eX]

[DOI]

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Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Question answering and generation from structured and unstructured data.

[BibT_eX]

[DOI]

PhD thesis, 2020

Toward Subgraph Guided Knowledge Graph Question Generation with Graph Neural Networks.

[BibT_eX]

[DOI]

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Mohammed J. Zaki

CoRR, 2020

Applying Learning and Semantics for Personalized Food Recommendations.

[BibT_eX]

[DOI]

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Oshani Seneviratne

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Ananya Subburathinam

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Proceedings of the ISWC 2020 Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 19th International Semantic Web Conference (ISWC 2020), 2020

Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings.

[BibT_eX]

[DOI]

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Mohammed J. Zaki

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension.

[BibT_eX]

[DOI]

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Mohammed J. Zaki

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation.

[BibT_eX]

[DOI]

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Mohammed J. Zaki

Proceedings of the 8th International Conference on Learning Representations, 2020

Combining User Preferences and Health Needs in Personalized Food Recommendation.

[BibT_eX]

[DOI]

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Mohammed J. Zaki

Proceedings of the AMIA 2020, 2020

2019

Deep Iterative and Adaptive Learning for Graph Neural Networks.

[BibT_eX]

[DOI]

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Mohammed J. Zaki

CoRR, 2019

Natural Question Generation with Reinforcement Learning Based Graph-to-Sequence Model.

[BibT_eX]

[DOI]

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Mohammed J. Zaki

CoRR, 2019

FoodKG: A Semantics-Driven Knowledge Graph for Food Recommendation.

[BibT_eX]

[DOI]

Steven Haussmann

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Oshani Seneviratne

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James V. Codella

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Deborah L. McGuinness

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Mohammed J. Zaki

Proceedings of the Semantic Web - ISWC 2019, 2019

FoodKG Enabled Q&A Application.

[BibT_eX]

[DOI]

Steven Haussmann

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Oshani Seneviratne

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James V. Codella

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Deborah L. McGuinness

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Mohammed J. Zaki

Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, 2019

Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases.

[BibT_eX]

[DOI]

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Mohammed J. Zaki

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2017

Comparative text analytics via topic modeling in banking.

[BibT_eX]

[DOI]

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Rhaad M. Rabbani

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Mohammed J. Zaki

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

KATE: K-Competitive Autoencoder for Text.

[BibT_eX]

[DOI]

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Mohammed J. Zaki

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

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