Kexuan Sun

According to our database, Kexuan Sun authored at least 18 papers between 2018 and 2024.

Collaborative distances:

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

2024

MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning.

Yifan Jiang, Jiarui Zhang, Kexuan Sun, Zhivar Sourati, Kian Ahrabian, Kaixin Ma, Filip Ilievski, Jay Pujara

CoRR, 2024

The Curious Case of Nonverbal Abstract Reasoning with Multi-Modal Large Language Models.

Kian Ahrabian, Zhivar Sourati, Kexuan Sun, Jiarui Zhang, Yifan Jiang, Fred Morstatter, Jay Pujara

CoRR, 2024

Efficient and Accurate Contextual Re-Ranking for Knowledge Graph Question Answering.

Kexuan Sun, Nicolaas Paul Jedema, Karishma Sharma, Ruben Janssen, Jay Pujara, Pedro A. Szekely, Alessandro Moschitti

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2022

Assessing Scientific Research Papers with Knowledge Graphs.

Kexuan Sun, Zhiqiang Qiu, Abel Salinas, Yuzhong Huang, Dong-Ho Lee, Daniel Benjamin, Fred Morstatter, Xiang Ren, Kristina Lerman, Jay Pujara

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021

Retrieving Complex Tables with Multi-Granular Graph Representation Learning.

Fei Wang, Kexuan Sun, Muhao Chen, Jay Pujara, Pedro A. Szekely

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Table-based Fact Verification With Salience-aware Learning.

Fei Wang, Kexuan Sun, Jay Pujara, Pedro A. Szekely, Muhao Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Tabular Functional Block Detection with Embedding-based Agglomerative Cell Clustering.

Kexuan Sun, Fei Wang, Muhao Chen, Jay Pujara

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

A Hybrid Probabilistic Approach for Table Understanding.

Kexuan Sun, Harsha Rayudu, Jay Pujara

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Graph Embedding with Personalized Context Distribution.

Di Huang, Zihao He, Yuzhong Huang, Kexuan Sun, Sami Abu-El-Haija, Bryan Perozzi, Kristina Lerman, Fred Morstatter, Aram Galstyan

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Decision Tree Learning-Inspired Dynamic Variable Ordering for the Weighted CSP.

Hong Xu, Kexuan Sun, Sven Koenig, T. K. Satish Kumar

Proceedings of the Thirteenth International Symposium on Combinatorial Search, 2020

Moving Agents in Formation in Congested Environments.

Jiaoyang Li, Kexuan Sun, Hang Ma, Ariel Felner, T. K. Satish Kumar, Sven Koenig

Proceedings of the Thirteenth International Symposium on Combinatorial Search, 2020

Hybrid Quantum-Classical Algorithms for Solving the Weighted CSP.

Hong Xu, Kexuan Sun, Sven Koenig, Itay Hen, T. K. Satish Kumar

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2020

Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning.

Deren Lei, Gangrong Jiang, Xiaotao Gu, Kexuan Sun, Yuning Mao, Xiang Ren

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Learning Embeddings of Directed Networks with Text-Associated Nodes - with Application in Software Package Dependency Networks.

Kexuan Sun, Shudan Zhong, Hong Xu

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

GAIA at SM-KBP 2019 - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System.

Manling Li, Ying Lin, Ananya Subburathinam, Spencer Whitehead, Xiaoman Pan, Di Lu, Qingyun Wang, Tongtao Zhang, Lifu Huang, Heng Ji, Alireza Zareian, Hassan Akbari, Brian Chen, Bo Wu, Emily Allaway, Shih-Fu Chang, Kathleen R. McKeown, Yixiang Yao, Jennifer Chen, Eric Berquist, Kexuan Sun, Xujun Peng, Ryan Gabbard, Marjorie Freedman, Pedro A. Szekely, T. K. Satish Kumar, Arka Sadhu, Ram Nevatia, Miguel E. Rodríguez, Yifan Wang, Yang Bai, Ali Sadeghian, Daisy Zhe Wang

Proceedings of the 2019 Text Analysis Conference, 2019

Top K Hypotheses Selection on a Knowledge Graph.

Kexuan Sun, Krishna Akhil Maddali, Shriraj Salian, T. K. Satish Kumar

Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019

2018

GAIA - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System.

Tongtao Zhang, Ananya Subburathinam, Ge Shi, Lifu Huang, Di Lu, Xiaoman Pan, Manling Li, Boliang Zhang, Qingyun Wang, Spencer Whitehead, Heng Ji, Alireza Zareian, Hassan Akbari, Brian Chen, Ruiqi Zhong, Steven Shao, Emily Allaway, Shih-Fu Chang, Kathleen R. McKeown, Dongyu Li, Xin Huang, Kexuan Sun, Xujun Peng, Ryan Gabbard, Marjorie Freedman, Mayank Kejriwal, Ram Nevatia, Pedro A. Szekely, T. K. Satish Kumar, Ali Sadeghian, Giacomo Bergami, Sourav Dutta, Miguel E. Rodríguez, Daisy Zhe Wang

Proceedings of the 2018 Text Analysis Conference, 2018

A Warning Propagation-Based Linear-Time-and-Space Algorithm for the Minimum Vertex Cover Problem on Giant Graphs.

Hong Xu, Kexuan Sun, Sven Koenig, T. K. Satish Kumar

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2018