Man must explore

Research Interests

• Machine Learning/ Deep Learning
  • Representation Learning
  • Graph Neural Networks
  • Memory Networks
• Natural Language Processing
  • Question Answering
  • Text Generation
  • Text Representation
  • Topic Modelling

Publications

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Preprints

1. Yu Chen, Ananya Subburathinam, Ching-Hua Chen and Mohammed J. Zaki, Personalized Question Answering over a Large-scale Food Knowledge Graph.
2. Yu Chen, Lingfei Wu and Mohammed J. Zaki, Toward Subgraph Guided Knowledge Graph Question Generation with Graph Neural Networks.
3. Yu Chen, Lingfei Wu and Mohammed J. Zaki, Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings.
4. Shangqing Liu, Yu Chen, Xiaofei Xie, Jing Kai Siow and Yang Liu, Automatic Code Summarization via Multi-dimensional Semantic Fusing in GNN.

Conference Publications

1. Yu Chen, Ching-Hua Chen and Mohammed J. Zaki, Combining User Preferences and Health Needs in Personalized Food Recommendation. In AMIA 2020 Annual Symposium (AMIA 2020), Nov 14-18, 2020. 
2. Yu Chen, Lingfei Wu and Mohammed J. Zaki, GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension. In Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI 2020), Yokohama, Japan, 2020. Acceptance rate=12.6% (592 out of 4717). [PDF][Code]
3. Yu Chen, Lingfei Wu and Mohammed J. Zaki, Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation. In Proceedings of the 8th International Conference on Learning Representations (ICLR 2020), Apr 26-30, 2020. [PDF][Code][Slides]
4. Yu Chen, Lingfei Wu and Mohammed J. Zaki, Deep Iterative and Adaptive Learning for Graph Neural Networks. In AAAI 2020 Workshop on Deep Learning on Graphs: Methodologies and Applications (AAAI DLGMA 2020), New York, NY, Feb 7-12, 2020. (Best Student Paper Award). [PDF][Code][Slides]
5. Yu Chen, Lingfei Wu and Mohammed J. Zaki, Natural Question Generation with Reinforcement Learning Based Graph-to-Sequence Model. In NeurIPS 2019 Workshop on Graph Representation Learning (NeurIPS GRL 2019), Vancouver, BC, Canada, Dec 8-14, 2019. [PDF][Code]
6. Steven Haussmann, Yu Chen, Oshani Seneviratne, Nidhi Rastogi, James Codella, Ching-Hua Chen, Deborah McGuinness, Mohammed J. Zaki, FoodKG Enabled Q&A Application. In Proceedings of the 18th International Semantic Web Conference (ISWC 2019), Auckland, New Zealand, Oct 26-30, 2019. Demo Track paper. [PDF][Code]
7. Steven Haussmann, Oshani Seneviratne, Yu Chen, Yarden Ne’eman, James Codella, Ching-Hua Chen, Deborah L. McGuinness and Mohammed J. Zaki, FoodKG: A Semantics-Driven Knowledge Graph for Food Recommendation. In Proceedings of the 18th International Semantic Web Conference (ISWC 2019), Auckland, New Zealand, Oct 26-30, 2019. Resources Track Full Paper. [PDF][Website][Code]
8. Yu Chen, Lingfei Wu and Mohammed J. Zaki, GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension. In ICML 2019 Workshop on Learning and Reasoning with Graph-Structured Representations (ICML LRG 2019), Long Beach, CA, June 9-15, 2019. [PDF][Code]
9. Yu Chen, Lingfei Wu and Mohammed J. Zaki, Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases. In Proceedings of the 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2019), Minneapolis, MN, June 2-7, 2019. Long Oral Paper. [PDF][Code][Slides]
10. Yu Chen, Rhaad M. Rabbani, Aparna Gupta and Mohammed J. Zaki, Comparative Text Analytics via Topic Modeling in Banking. In Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2017), Hawaii, USA, Nov 27-Dec 1, 2017. [PDF][Code]
11.  Yu Chen and Mohammed J. Zaki, KATE: K-competitive Autoencoder for Text. In Proceedings of the 23rd International Conference on Knowledge Discovery and Data Mining (SIGKDD 2017), Halifax, NS, Canada, Aug 13-17, 2017. Full Oral Paper. Acceptance rate=8.6% (64 out of 748). [PDF][Code][Slides][Talk]
12. Yu Chen, Hao Chen and Jie Shen, Fast Voxel-based Surface Propagation Method for Outlier Removal. In Proceedings of the 13th International CAD Conference (CAD 2016), Vancouver, BC, Canada, June 27-29, 2016. [PDF][Code]

Journal Publications

1. Hao Chen, Yu Chen, Xu Zhang, Baiyuan Li, Xiaoqiang Liu, Xuefei Shi and Jie Shen, A Fast Voxel-based Method for Outlier Removal in Laser Measurement. International Journal of Precision Engineering and Manufacturing (IJPEM), 2019. [PDF]

Patents

1. Lingfei Wu, Yu Chen, Mohammed J. Zaki. Method and System for Subgraph Guided Knowledge Graph Question Generation with Graph Neural Networks. To be filed, 2020.
2. Lingfei Wu, Yu Chen, Mohammed J. Zaki. Method and System for Iterative Deep Graph Learning for Graph Neural Networks. Field, May, 2020.
3. Lingfei Wu, Yu Chen, Mohammed J. Zaki. Method and System for Natural Question Generation via Reinforcement Learning Based Graph-to-Sequence Model. Filed, Jan 2020.
4. Lingfei Wu, Yu Chen, Mohammed J. Zaki. Method and System for Conversational Machine Reading Comprehension via Graph Neural Networks. Filed, Aug 2019.

Invited Talks

• Dissertation talk entitled "Question Answering and Generation from Structured and Unstructured Data" at RPI, Jun 24, 2020. [Slides]

• Invited talk entitled "Natural Question Generation and Graph Structure Learning with Graph Neural Networks" at Tencent AI Lab America, Mar, 2020.

• Invited talk entitled "Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation" at Dataminr, Inc. and Amazon, Inc., Mar-Apr, 2020.

• Invited talk entitled "Automatic Graph Structure Learning for Graph Neural Networks" at IBM Research, Yorktown Heights, NY, Nov 18, 2019.

• Invited talk entitled "Knowledge Base Question Answering and Its Potential Applications in Adaptive Education" at the 3rd International Conference on Artificial Intelligence + Adaptive Education (AIAED 2019), Beijing, China, May 24-25, 2019. [Slides]

• Invited talk entitled "Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases" at IBM AI Horizons Seminar Series, May 2, 2019. [Talk]

Selected Awards

• Best Student Paper Award of AAAI DLGMA 2020.

• Student Travel Award of SIGKDD 2017.

• 2nd Place at the 2016 Rensselaer Datathon, RPI.

• The First-Class People’s Scholarship, UESTC, 2013, 2014.

• National Scholarship, UESTC, 2012.

Service

Technical Program Committee

• The Second International Workshop on Deep Learning on Graphs: Methods and Applications (DLG-KDD 2020)
• The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020)
• The 29th International Joint Conference on Artificial Intelligence (IJCAI 2020)
• The 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020)
• The First International Workshop on Deep Learning on Graphs: Methodologies and Applications (AAAI DLGMA 2020)

Reviewer

• IEEE Transactions on Knowledge and Data Engineering (TKDE)
• Data Mining and Knowledge Discovery (DAMI)
• International Journal of Intelligence Systems (IJIS)
• ACM Transactions on Knowledge Discovery from Data (TKDD)
• The 28th International Joint Conference on Artificial Intelligence (IJCAI 2019)
• Artificial Intelligence Review (AIRE)