A Warning Propagation-Based Linear-Time-and-Space Algorithm for the Minimum Vertex Cover Problem on Giant Graphs. - Hong Xu 003; Kexuan Sun 002; Sven Koenig; T. K. Satish Kumar (CPAIOR, 2018)

GAIA - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System. - Tongtao Zhang; Ananya Subburathinam; Ge Shi 002; Lifu Huang; Di Lu 003; Xiaoman Pan; Manling Li; Boliang Zhang; Qingyun Wang 005; Spencer Whitehead; Heng Ji 001; Alireza Zareian; et al. (TAC, 2018)

Top K Hypotheses Selection on a Knowledge Graph. - Kexuan Sun 002; Krishna Akhil Maddali; Shriraj Salian; T. K. Satish Kumar (FLAIRS, 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 003; Qingyun Wang 005; Tongtao Zhang; Lifu Huang; Heng Ji 001; Alireza Zareian; Hassan Akbari; et al. (TAC, 2019)

Learning Embeddings of Directed Networks with Text-Associated Nodes - with Application in Software Package Dependency Networks. - Kexuan Sun 002; Shudan Zhong; Hong Xu 003 (IEEE BigData, 2020)

Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning. - Deren Lei; Gangrong Jiang; Xiaotao Gu; Kexuan Sun 002; Yuning Mao; Xiang Ren 001 (EMNLP (1), 2020)

Hybrid Quantum-Classical Algorithms for Solving the Weighted CSP. - Hong Xu 003; Kexuan Sun 002; Sven Koenig; Itay Hen; T. K. Satish Kumar (ISAIM, 2020)

Moving Agents in Formation in Congested Environments. - Jiaoyang Li 001; Kexuan Sun 002; Hang Ma 001; Ariel Felner; T. K. Satish Kumar; Sven Koenig (SOCS, 2020)

Decision Tree Learning-Inspired Dynamic Variable Ordering for the Weighted CSP. - Hong Xu 003; Kexuan Sun 002; Sven Koenig; T. K. Satish Kumar (SOCS, 2020)

Graph Embedding with Personalized Context Distribution. - Di Huang; Zihao He; Yuzhong Huang; Kexuan Sun 002; Sami Abu-El-Haija; Bryan Perozzi; Kristina Lerman; Fred Morstatter; Aram Galstyan (WWW (Companion Volume), 2020)

A Hybrid Probabilistic Approach for Table Understanding. - Kexuan Sun 002; Harsha Rayudu; Jay Pujara (AAAI, 2021)

Tabular Functional Block Detection with Embedding-based Agglomerative Cell Clustering. - Kexuan Sun 002; Fei Wang 060; Muhao Chen 001; Jay Pujara (CIKM, 2021)

Table-based Fact Verification With Salience-aware Learning. - Fei Wang 060; Kexuan Sun 002; Jay Pujara; Pedro A. Szekely; Muhao Chen 001 (EMNLP (Findings), 2021)

Retrieving Complex Tables with Multi-Granular Graph Representation Learning. - Fei Wang 060; Kexuan Sun 002; Muhao Chen 001; Jay Pujara; Pedro A. Szekely (SIGIR, 2021)

Assessing Scientific Research Papers with Knowledge Graphs. - Kexuan Sun 002; Zhiqiang Qiu; Abel Salinas; Yuzhong Huang; Dong-Ho Lee; Daniel Benjamin; Fred Morstatter; Xiang Ren 001; Kristina Lerman; Jay Pujara (SIGIR, 2022)

Efficient and Accurate Contextual Re-Ranking for Knowledge Graph Question Answering. - Kexuan Sun 002; Nicolaas Paul Jedema; Karishma Sharma; Ruben Janssen; Jay Pujara; Pedro A. Szekely; Alessandro Moschitti (LREC/COLING, 2024)

MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning. - Yifan Jiang 001; Jiarui Zhang 002; Kexuan Sun 002; Zhivar Sourati; Kian Ahrabian; Kaixin Ma; Filip Ilievski; Jay Pujara (NeurIPS, 2024)

The Curious Case of Nonverbal Abstract Reasoning with Multi-Modal Large Language Models. - Kian Ahrabian; Zhivar Sourati; Kexuan Sun 002; Jiarui Zhang 002; Yifan Jiang 001; Fred Morstatter; Jay Pujara (CoRR, 2024)