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, Question Answering, 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.

🔥 News

📖 Educations

  • 2023.09 - Present, Ph.D. in Computer Science and Software Engineering, University of Liverpool.
  • 2019.09 - 2023.07, BEng. (First Class Hons) in Data Science and Big Data Technology, University of Liverpool.
  • 2019.09 - 2023.07, BEng. (First Class Hons) in Data Science and Big Data Technology, Xi’an Jiaotong-Liverpool University.

📝 Publications

Conference Proceedings:

  • Zimu Wang, Wei Wang, Qi Chen, Qiufeng Wang, and Anh Nguyen. Generating Valid and Natural Adversarial Examples with Large Language Models. 2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2024). [arXiv]
  • Zhilu Zhang, Procheta Sen, Zimu Wang, Ruoyu Sun, Zhengyong Jiang, and Jionglong Su. FinBPM: A Framework for Portfolio Management-based Financial Investor Behavior Perception Model. The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024). [Paper]
  • Hao Peng*, Xiaozhi Wang*, Feng Yao, Zimu Wang, Chuzhao Zhu, Kaisheng Zeng, Lei Hou, and Juanzi Li. OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event Understanding. The 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP 2023 Demo). [Paper, arXiv, Code, Demo]
  • Hongbin Na*, Lilin Wang*, Xinyao Zhuang, Jianfei He, Zhenyu Liu, Zimu Wang, and Hong-Seng Gan. Attention-based Multimodal Bilinear Feature Fusion for Lung Cancer Survival Analysis. 2023 IEEE 23rd International Conference on Bioinformatics and Bioengineering (BIBE 2023) [Paper].
  • Zimu Wang and Hong-Seng Gan. Multi-level Adversarial Training for Stock Sentiment Prediction. 2023 IEEE 3rd International Conference on Computer Communication and Artificial Intelligence (CCAI 2023). [Paper]
  • Xiaozhi Wang*, Yulin Chen*, Ning Ding, Hao Peng, Zimu Wang, Yankai Lin, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu, Peng Li, and Jie Zhou. MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction. The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022). [Paper, arXiv, Dataset & Code]
  • Zimu Wang. Generating Complex Questions from Knowledge Graphs with Query Graphs. 2022 IEEE 10th International Conference on Information, Communication and Networks (ICICN 2022). [Paper]

Technical Reports:

  • Hongbin Na, Zimu Wang, Mieradilijiang Maimaiti, Tong Chen, Wei Wang, Tao Shen, and Ling Chen. Rethinking Human-like Translation Strategy: Integrating Drift-Diffusion Model with Large Language Models for Machine Translation. arXiv preprint arXiv:2402.10699. [arXiv]
  • Hao Peng*, Xiaozhi Wang*, Jianhui Chen*, Weikai Li, Yunjia Qi, Zimu Wang, Zhili Wu, Kaisheng Zeng, Bin Xu, Lei Hou, and Juanzi Li. When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks. arXiv preprint arXiv:2311.08993. [arXiv]

🏫 Teaching

Xi’an Jiaotong-Liverpool University:

  • 2024.04 - 2024.06, Teaching Assistant, DTS002TC Essentials of Big Data, AY2023/24 Semester 2.
  • 2024.02 - 2024.06, Teaching Assistant, CPT402 Software Architectures, AY2023/24 Semester 2.
  • 2023.09 - 2024.01, Teaching Assistant, CPT201 Database Development and Design, AY2023/24 Semester 1.

🎓 Supervision

  • Jianfei He (XJTLU BEng’24) [BIBE 2023]
  • Zhenyu Liu (XJTLU BEng’24) [BIBE 2023]
  • Hongbin Na (XJTLU BEng’23 → UTS MRes’26) [BIBE 2023]
  • Lilin Wang (XJTLU BEng’24) [BIBE 2023]
  • Xin Yuan (XJTLU BEng’24)
  • Xinyao Zhuang (XJTLU BEng’24) [BIBE 2023]

🧙 Professional Services

Reviewer:

  • 2024, ECAI 2024, LREC-COLING 2024, NeurIPS 2024
  • 2023, ACL Rolling Review (ARR)

💬 Invited Talks

  • 2023.05, PyTorch 101: Getting Started in AI with PyTorch, in ASM East Coast Chapter STEM Programme, Academy of Sciences Malaysia.

🎖 Honors and Awards

  • 2023.09, Postgraduate Research Scholarship (PGRS), Xi’an Jiaotong-Liverpool University.
  • 2023.05, Best Oral Presentation, 2023 IEEE 3rd International Conference on Computer Communication and Artificial Intelligence (CCAI 2023).
  • 2022.09, 2022/23 University Academic Excellence Award (Top 5%), Xi’an Jiaotong-Liverpool University.
  • 2022.08, Best Oral Presentation, 2022 IEEE 10th International Conference on Information, Communication and Networks (ICICN 2022).
  • 2021.07, 2021/22 University Academic Excellence Award (Top 5%), Xi’an Jiaotong-Liverpool University.
  • 2020.07, 2020/21 University Academic Achievement Award (Top 10%), Xi’an Jiaotong-Liverpool University.