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Kexuan Sun 0002
Person information
- affiliation: University of Southern California, Los Angeles, CA, USA
Other persons with the same name
- Kexuan Sun 0001 — University College London, UK
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2020 – today
- 2024
- [c16]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: 5585-5595 - [i7]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 abs/2401.12117 (2024) - [i6]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 abs/2404.13591 (2024) - 2022
- [c15]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: 2467-2472 - 2021
- [c14]Kexuan Sun, Harsha Rayudu, Jay Pujara:
A Hybrid Probabilistic Approach for Table Understanding. AAAI 2021: 4366-4374 - [c13]Kexuan Sun, Fei Wang, Muhao Chen, Jay Pujara:
Tabular Functional Block Detection with Embedding-based Agglomerative Cell Clustering. CIKM 2021: 1744-1753 - [c12]Fei Wang, Kexuan Sun, Jay Pujara, Pedro A. Szekely, Muhao Chen:
Table-based Fact Verification With Salience-aware Learning. EMNLP (Findings) 2021: 4025-4036 - [c11]Fei Wang, Kexuan Sun, Muhao Chen, Jay Pujara, Pedro A. Szekely:
Retrieving Complex Tables with Multi-Granular Graph Representation Learning. SIGIR 2021: 1472-1482 - [i5]Fei Wang, Kexuan Sun, Muhao Chen, Jay Pujara, Pedro A. Szekely:
Retrieving Complex Tables with Multi-Granular Graph Representation Learning. CoRR abs/2105.01736 (2021) - [i4]Fei Wang, Kexuan Sun, Jay Pujara, Pedro A. Szekely, Muhao Chen:
Table-based Fact Verification with Salience-aware Learning. CoRR abs/2109.04053 (2021) - 2020
- [c10]Jiaoyang Li, Kexuan Sun, Hang Ma, Ariel Felner, T. K. Satish Kumar, Sven Koenig:
Moving Agents in Formation in Congested Environments. AAMAS 2020: 726-734 - [c9]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: 2995-3004 - [c8]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: 8541-8547 - [c7]Hong Xu, Kexuan Sun, Sven Koenig, Itay Hen, T. K. Satish Kumar:
Hybrid Quantum-Classical Algorithms for Solving the Weighted CSP. ISAIM 2020 - [c6]Hong Xu, Kexuan Sun, Sven Koenig, T. K. Satish Kumar:
Decision Tree Learning-Inspired Dynamic Variable Ordering for the Weighted CSP. SOCS 2020: 91-99 - [c5]Jiaoyang Li, Kexuan Sun, Hang Ma, Ariel Felner, T. K. Satish Kumar, Sven Koenig:
Moving Agents in Formation in Congested Environments. SOCS 2020: 131-132 - [c4]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: 655-661 - [i3]Deren Lei, Gangrong Jiang, Xiaotao Gu, Kexuan Sun, Yuning Mao, Xiang Ren:
Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning. CoRR abs/2005.00571 (2020)
2010 – 2019
- 2019
- [c3]Kexuan Sun, Krishna Akhil Maddali, Shriraj Salian, T. K. Satish Kumar:
Top K Hypotheses Selection on a Knowledge Graph. FLAIRS 2019: 136-139 - [i2]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 - 2018
- [c2]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: 567-584 - [c1]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 - [i1]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
Coauthor Index
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