Kexuan Sun

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 23

Top Topics

Graph Embedding

Decision Tree Learning

Knowledge Extraction

Software Package

Top Venues

Publications

Kexuan Sun, Nicolaas Paul Jedema, Karishma Sharma, Ruben Janssen, Jay Pujara, Pedro A. Szekely, Alessandro Moschitti
Efficient and Accurate Contextual Re-Ranking for Knowledge Graph Question Answering. LREC/COLING (2024)
Kian Ahrabian, Zhivar Sourati, Kexuan Sun, Jiarui Zhang, Yifan Jiang, Fred Morstatter, Jay Pujara
The Curious Case of Nonverbal Abstract Reasoning with Multi-Modal Large Language Models. CoRR (2024)
Yifan Jiang, Jiarui Zhang, Kexuan Sun, Zhivar Sourati, Kian Ahrabian, Kaixin Ma, Filip Ilievski, Jay Pujara
MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning. CoRR (2024)
Kexuan Sun, Zhiqiang Qiu, Abel Salinas, Yuzhong Huang, Dong-Ho Lee, Daniel Benjamin, Fred Morstatter, Xiang Ren, Kristina Lerman, Jay Pujara
Assessing Scientific Research Papers with Knowledge Graphs. SIGIR (2022)
Kexuan Sun, Harsha Rayudu, Jay Pujara
A Hybrid Probabilistic Approach for Table Understanding. AAAI (2021)
Fei Wang, Kexuan Sun, Jay Pujara, Pedro A. Szekely, Muhao Chen
Table-based Fact Verification With Salience-aware Learning. EMNLP (Findings) (2021)
Kexuan Sun, Fei Wang, Muhao Chen, Jay Pujara
Tabular Functional Block Detection with Embedding-based Agglomerative Cell Clustering. CIKM (2021)
Fei Wang, Kexuan Sun, Muhao Chen, Jay Pujara, Pedro A. Szekely
Retrieving Complex Tables with Multi-Granular Graph Representation Learning. CoRR (2021)
Fei Wang, Kexuan Sun, Jay Pujara, Pedro A. Szekely, Muhao Chen
Table-based Fact Verification with Salience-aware Learning. CoRR (2021)
Fei Wang, Kexuan Sun, Muhao Chen, Jay Pujara, Pedro A. Szekely
Retrieving Complex Tables with Multi-Granular Graph Representation Learning. SIGIR (2021)
Deren Lei, Gangrong Jiang, Xiaotao Gu, Kexuan Sun, Yuning Mao, Xiang Ren
Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning. CoRR (2020)
Di Huang, Zihao He, Yuzhong Huang, Kexuan Sun, Sami Abu-El-Haija, Bryan Perozzi, Kristina Lerman, Fred Morstatter, Aram Galstyan
Graph Embedding with Personalized Context Distribution. WWW (Companion Volume) (2020)
Deren Lei, Gangrong Jiang, Xiaotao Gu, Kexuan Sun, Yuning Mao, Xiang Ren
Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning. EMNLP (1) (2020)
Jiaoyang Li, Kexuan Sun, Hang Ma, Ariel Felner, T. K. Satish Kumar, Sven Koenig
Moving Agents in Formation in Congested Environments. SOCS (2020)
Jiaoyang Li, Kexuan Sun, Hang Ma, Ariel Felner, T. K. Satish Kumar, Sven Koenig
Moving Agents in Formation in Congested Environments. AAMAS (2020)
Kexuan Sun, Shudan Zhong, Hong Xu
Learning Embeddings of Directed Networks with Text-Associated Nodes - with Application in Software Package Dependency Networks. IEEE BigData (2020)
Hong Xu, Kexuan Sun, Sven Koenig, Itay Hen, T. K. Satish Kumar
Hybrid Quantum-Classical Algorithms for Solving the Weighted CSP. ISAIM (2020)
Hong Xu, Kexuan Sun, Sven Koenig, T. K. Satish Kumar
Decision Tree Learning-Inspired Dynamic Variable Ordering for the Weighted CSP. SOCS (2020)
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
GAIA at SM-KBP 2019 - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System. TAC (2019)
Kexuan Sun, Krishna Akhil Maddali, Shriraj Salian, T. K. Satish Kumar
Top K Hypotheses Selection on a Knowledge Graph. FLAIRS Conference (2019)
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
GAIA - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System. TAC (2018)
Hong Xu, Kexuan Sun, Sven Koenig, T. K. Satish Kumar
A Warning Propagation-Based Linear-Time-and-Space Algorithm for the Minimum Vertex Cover Problem on Giant Graphs. CPAIOR (2018)
Hong Xu, Kexuan Sun, Sven Koenig, T. K. Satish Kumar
A Warning Propagation-Based Linear-Time-and-Space Algorithm for the Minimum Vertex Cover Problem on Giant Graphs. ISAIM (2018)