Kexuan Sun

PhD student

University of Southern California (USC)

I am a PhD student in the Computer Science Department at University of Southern California (USC). I am also a member of Center on Knowledge Graphs at USC’s Information Sciences Institute (ISI). I am fortunate to be advised by Prof. Jay Pujara.

Interests

Structured data Analaysis and Utilization
Retrieval-augmented Generation for QA
Multi-modal Learning and Evaluation

Education

PhD in Computer Science, 2018 - 2023

University of Southern California
MS in Computer Science, 2016 - 2018

University of Southern California
BEng in Software Engineering, 2012 - 2016

Huazhong University of Science and Technology

Publications

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

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

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

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

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DigiCall: A Benchmark for Measuring the Maturity of Digital Strategy through Company Earning Calls. FinNLP 2022.

Hilal Pataci, Kexuan Sun, T. Ravichandran

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Assessing Scientific Research Papers with Knowledge Graphs. SIGIR 2022.

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

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Table-based Fact Verification with Salience-aware Learning. EMNLP 2021-Findings.

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

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Tabular Functional Block Detection with Embedding-based Agglomerative Cell Clustering. CIKM 2021.

Kexuan Sun, Fei Wang, Muhao Chen, Jay Pujara

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A Hybrid Probabilistic Approach for Table Understanding. AAAI 2021.

Kexuan Sun, Harsha Rayudu, Jay Pujara

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Retrieving Complex Tables with Multi-Granular Graph Representation Learning. SIGIR 2021.

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

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Learning embeddings of directed networks with text-associated nodes--with application in software package dependency networks. BigGraphs@BigData 2020.

Kexuan Sun, Shudan Zhong, Hong Xu

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Decision Tree Learning-Inspired Dynamic Variable Ordering for the Weighted CSP. SoCS 2020 (Best paper honourable mention award).

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

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Moving Agents in Formation in Congested Environments. AAMAS 2020.

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

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Hybrid Quantum-Classical Algorithms for Solving the Weighted CSP. ISAIM 2020.

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

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

Manling Li, Ying Lin, Ananya Subburathinam, Spencer Whitehead, Xiaoman Pan, Di Lu, Qingyun Wang, Tongtao Zhang, Lifu Huang, Heng …

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Top K Hypotheses Selection on a Knowledge Graph. FLAIRS 2019.

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

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GAIA - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System. TAC-KBP 2018.

Tongtao Zhang, Ananya Subburathinam, Ge Shi, Lifu Huang, Di Lu, Xiaoman Pan, Manling Li, Boliang Zhang, Qingyun Wang, Spencer …

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A Warning Propagation-Based Linear-Time-and-Space Algorithm for the Minimum Vertex Cover Problem on Giant Graphs. CPAIOR 2018.