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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Zhijin Guo
About me
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Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
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publications
Extract: Explainable transparent control of bias in embeddings
Published in AEQUITAS 2023: AEQUITAS 2023 First AEQUITAS Workshop on Fairness and Bias in AI co-located with ECAI 2023, 2023
A suite of methods for controlling bias in knowledge graph embeddings while maintaining model utility and transparency.
Recommended citation: Z. Guo, Z. Xu, M. Lewis, and N. Cristianini, "Extract: Explainable transparent control of bias in embeddings," in AEQUITAS 2023: AEQUITAS 2023 First AEQUITAS Workshop on Fairness and Bias in AI co-located with ECAI 2023, 2023.
On compositionality in data embedding
Published in International Symposium on Intelligent Data Analysis, Springer, 2023
An analysis of compositionality principles in various data embedding approaches and their applications.
Recommended citation: Z. Xu, Z. Guo, and N. Cristianini, "On compositionality in data embedding," in International Symposium on Intelligent Data Analysis, Springer, 2023, pp. 484–496. https://doi.org/10.1007/978-3-031-30047-9_38
Bridging social structure and discourse
Published in Preparing to submit to the ACL Rolling Review (ARR), 2025
A study on bridging social network structures and discourse patterns using advanced NLP and graph neural network techniques.
Recommended citation: Z. Guo, Z. Li, B. Tyler, X. Dong, and J. Pierrehumbert, "Bridging social structure and discourse," Preparing to submit to the ACL Rolling Review (ARR), 2025.
Quantifying compositionality in classic and state-of-the-art embeddings
Published in Under review by the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025
A comprehensive evaluation of compositionality in embeddings across SBERT, GPT, LLAMA, and Knowledge Graph embeddings.
Recommended citation: Z. Guo, C. Xue, Z. Xu, et al., "Quantifying compositionality in classic and state-of-the-art embeddings," Under review by the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025.
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Introduction to Computer Programming
Undergraduate course, University of Bristol, Engineering Maths, 2021
Introduction to python
Introduction to Text Analytics
Lecture, University of Bristol, Computer Science, 2022
Natural language processing