Yu Chen

According to our database, Yu Chen authored at least 23 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Toward Subgraph-Guided Knowledge Graph Question Generation With Graph Neural Networks.

Yu Chen, Lingfei Wu, Mohammed J. Zaki

IEEE Trans. Neural Networks Learn. Syst., September, 2024

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

Jing Hu, Lingfei Wu, Yu Chen, Po Hu, Mohammed J. Zaki

Mach. Intell. Res., April, 2024

LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models.

Chi Han, Qifan Wang, Hao Peng, Wenhan Xiong, Yu Chen, Heng Ji, Sinong Wang

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.

Lingfei Wu, Yu Chen, Kai Shen, Xiaojie Guo, Hanning Gao, Shucheng Li, Jian Pei, Bo Long

Found. Trends Mach. Learn., 2023

Modeling Product's Visual and Functional Characteristics for Recommender Systems (Extended Abstract).

Bin Wu, Xiangnan He, Yu Chen, Liqiang Nie, Kai Zheng, Yangdong Ye

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction.

Li Yang, Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Yu Chen, Madian Khabsa, Sinong Wang, Zenglin Xu, Dongfang Liu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Compact Graph Structure Learning via Mutual Information Compression.

Nian Liu, Xiao Wang, Lingfei Wu, Yu Chen, Xiaojie Guo, Chuan Shi

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Accepted Tutorials at The Web Conference 2022.

Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He

Proceedings of the Companion of The 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.

Yu Chen, Ananya Subburathinam, Ching-Hua Chen, Mohammed J. Zaki

Proceedings of the WSDM '21, 2021

Deep Learning on Graphs for Natural Language Processing.

Lingfei Wu, Yu Chen, Heng Ji, Bang Liu

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.

Yu Chen

PhD thesis, 2020

Applying Learning and Semantics for Personalized Food Recommendations.

Nidhi Rastogi, Oshani Seneviratne, Dan Gruen, Ching-Hua Chen, Yu Chen, Jon Harris, Diya Li, Ananya Subburathinam, Ruisi Jian, Megan Goulet, Yuheng Zhou, Osama Minhas, Jared Okun, Aaron Hill

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.

Yu Chen, Lingfei Wu, 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.

Yu Chen, Lingfei Wu, 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.

Yu Chen, Lingfei Wu, Mohammed J. Zaki

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

Combining User Preferences and Health Needs in Personalized Food Recommendation.

Yu Chen, Ching-Hua Chen, Mohammed J. Zaki

Proceedings of the AMIA 2020, 2020

2019

Deep Iterative and Adaptive Learning for Graph Neural Networks.

Yu Chen, Lingfei Wu, Mohammed J. Zaki

CoRR, 2019

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

Yu Chen, Lingfei Wu, Mohammed J. Zaki

CoRR, 2019

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

Steven Haussmann, Oshani Seneviratne, Yu Chen, Yarden Ne'eman, James V. Codella, Ching-Hua Chen, Deborah L. McGuinness, Mohammed J. Zaki

Proceedings of the Semantic Web - ISWC 2019, 2019

FoodKG Enabled Q&A Application.

Steven Haussmann, Yu Chen, Oshani Seneviratne, Nidhi Rastogi, James V. Codella, Ching-Hua Chen, Deborah L. McGuinness, Mohammed J. Zaki

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

Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases.

Yu Chen, Lingfei Wu, 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.

Yu Chen, Rhaad M. Rabbani, Aparna Gupta, Mohammed J. Zaki

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

KATE: K-Competitive Autoencoder for Text.

Yu Chen, Mohammed J. Zaki

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