Published in Empirical Methods in Natural Language Processing, 2024
Best Demo Paper Award at EMNLP 2024 (Demo Track)
Recommended citation: [OpenOmni: A Collaborative Open Source Tool for Building Future-Ready Multimodal Conversational Agents](https://aclanthology.org/2024.emnlp-demo.5) (Sun et al., EMNLP 2024)
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Published in Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2024
An Empirical Survey from the Data Fitness Perspective
Recommended citation: Sun, Q., Huynh, D.Q., Reynolds, M., Liu, W. (2024). Are Graph Embeddings the Panacea?. In: Yang, DN., Xie, X., Tseng, V.S., Pei, J., Huang, JW., Lin, J.CW. (eds) Advances in Knowledge Discovery and Data Mining. PAKDD 2024. Lecture Notes in Computer Science(), vol 14646. Springer, Singapore. https://doi.org/10.1007/978-981-97-2253-2_32
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Published in Australasian Conference on Data Mining, 2022
Best Research Paper Award at AusDM 2022
Recommended citation: Sun, Q., Liu, W., Huynh, D., Reynolds, M. (2022). Graph Embeddings for Non-IID Data Feature Representation Learning. In: Park, L.A.F., et al. Data Mining. AusDM 2022. Communications in Computer and Information Science, vol 1741. Springer, Singapore. https://doi.org/10.1007/978-981-19-8746-5_4
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Published in Preprint, 2024
Uncovering Knowledge from Chaos
Recommended citation: Sun, Q., Luo, Y., Zhang, W., Li, S., Li, J., Niu, K., Kong, X., & Liu, W. Docs2KG: Unified Knowledge Graph Construction from Heterogeneous Documents Assisted by Large Language Models. arXiv:2406.02962 [cs.CL].
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