Research output per year
Research output per year
Personal profile
Personal profile
Zimu Wang (王子木) is a first-year Ph.D. student at the University of Liverpool (UoL), base at Xi'an Jiaotong-Liverpool University (XJTLU), jointly advised by Dr. Wei Wang (XJTLU), Dr. Qiufeng Wang (XJTLU), Dr. Qi Chen (XJTLU), and Dr. Anh Nguyen (UoL). He is also closely collaborating with Dr. Xinya Du at the University of Texas of Dallas. Before joining XJTLU/UoL, he has worked as a research intern at the Knowledge Engineering Group (KEG), Tsinghua University from 2022 to 2023, supervised by Prof. Juanzi Li.
His broad research interest is the intersection between Knowledge Graphs, Data and Knowledege Engineering, and Natural Language Processing (NLP). To be specific, his current research topics include Information Extraction, Natural Language Reasoning, and Large Language Models. You can refer to his Google Scholar for his research details .
Zimu Wang is open to collaborations. If you're interested in working with him, please feel free to send him an email.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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Exploring Faithful and Informative Commonsense Reasoning and Moral Understanding in Children’s Stories
Wang, Z., Wang, Y., Han, N., Chen, Q., Zhang, H., Pan, Y., Wang, Q-F. & Wang, W., 2024, The 23rd China National Conference on Computational Linguistics: Evaluations (CCL24-Eval).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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FinBPM: A Framework for Portfolio Management-based Financial Investor Behavior Perception Model
Zhang, Z., Sen, P., Wang, Z., Sun, R., Jiang, Z. & Su, J., Mar 2024, Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics . Graham, Y., Purver, M. & Purver, M. (eds.). Vol. Volume 1: Long Papers. p. 246-257 12 p. (EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference; vol. 1).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Knowledge Base-enhanced Multilingual Relation Extraction with Large Language Models
Jiang, Z., Su, J., Chen, T., Wang, Z. & Sen, P., Jun 2024, (Accepted/In press) LKM2024: The First International OpenKG Workshop Large Knowledge-Enhanced Models @IJCAI 2024.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Knowledge Distillation from Monolingual to Multilingual Models for Intelligent and Interpretable Multilingual Emotion Detection
Wang, Y., Wang, Z., Han, N., Wang, W., Chen, Q., Zhang, H., Pan, Y. & Nguyen, A., 2024, WASSA 2024 - 14th Workshop on Computational Approaches to Subjectivity, Sentiment, and Social Media Analysis, Proceedings of the Workshop. De Clercq, O., Barriere, V., Barnes, J., Klinger, R., Sedoc, J. & Tafreshi, S. (eds.). Association for Computational Linguistics (ACL), p. 470-475 6 p. (WASSA 2024 - 14th Workshop on Computational Approaches to Subjectivity, Sentiment, and Social Media Analysis, Proceedings of the Workshop).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
1 Citation (Scopus) -
Attention-based Multimodal Bilinear Feature Fusion for Lung Cancer Survival Analysis
Na, H., Wang, L., Zhuang, X., He, J., Liu, Z., Wang, Z. & Gan, H. S., 2023, Proceedings - 2023 IEEE 23rd International Conference on Bioinformatics and Bioengineering, BIBE 2023. Institute of Electrical and Electronics Engineers Inc., p. 219-225 7 p. (Proceedings - 2023 IEEE 23rd International Conference on Bioinformatics and Bioengineering, BIBE 2023).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review