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 23 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Toward Subgraph-Guided Knowledge Graph Question Generation With Graph Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., September, 2024

GraphFlow+: Exploiting Conversation Flow in Conversational Machine Comprehension with Graph Neural Networks.
Mach. Intell. Res., April, 2024

LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023
Graph Neural Networks for Natural Language Processing: A Survey.
Found. Trends Mach. Learn., 2023

Modeling Product's Visual and Functional Characteristics for Recommender Systems (Extended Abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Compact Graph Structure Learning via Mutual Information Compression.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022


2021
Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph.
Proceedings of the WSDM '21, 2021

Deep Learning on Graphs for Natural Language Processing.
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.
PhD thesis, 2020

Applying Learning and Semantics for Personalized Food Recommendations.
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.
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.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation.
Proceedings of the 8th International Conference on Learning Representations, 2020

Combining User Preferences and Health Needs in Personalized Food Recommendation.
Proceedings of the AMIA 2020, 2020

2019
Deep Iterative and Adaptive Learning for Graph Neural Networks.
CoRR, 2019

Natural Question Generation with Reinforcement Learning Based Graph-to-Sequence Model.
CoRR, 2019

FoodKG: A Semantics-Driven Knowledge Graph for Food Recommendation.
Proceedings of the Semantic Web - ISWC 2019, 2019

FoodKG Enabled Q&A Application.
Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, 2019

Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases.
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.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

KATE: K-Competitive Autoencoder for Text.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017


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