[an error occurred while processing this directive]<meta name="keywords" content="Department of Computer Science, publications, by type, Yihong Chen"></meta><meta name="description" content="Publications, by type, Department of Computer Science, Oxford, Yihong Chen"></meta><title>Department of Computer Science, University of Oxford: Yihong Chen : Publications
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			</style>[an error occurred while processing this directive]<div class="content-width"><ol class="breadcrumb text-uppercase"><li><a href="/">Home</a></li><li><a href="/aboutus/">About Us</a></li><li><a href="/people/">People</a></li><li><a href="/people/research.html">Research</a></li><li><a href="/people/Yihong.Chen"><span itemprop="name">Yihong Chen</span></a></li><li class="active">Publications</li></ol></div><!-- MOBILE NAVIGATION --><div class="content-width space-below mobile-menu-placeholder visible-xs visible-sm"></div><!-- COLUMNS --><div class="container-fluid content-width"><div class="row"><div class="col-xs-12 col-md-9 col-md-push-3" id="maincontent"><!-- CONTENT (Column 2) --><div class="page-title"><h1>Yihong Chen : Publications
</h1></div><div role="toolbar" class="btn-toolbar"><div class="btn-group"><a href="/people/publications/date/Yihong.Chen.html" aria-hidden="true" type="button" class="btn btn-default"><span class="glyphicon glyphicon-sort-by-attributes"></span> By date</a><a href="/people/publications/title/Yihong.Chen.html" aria-hidden="true" type="button" class="btn btn-default"><span class="glyphicon glyphicon-sort-by-attributes"></span> By title</a><a href="/people/publications/type/Yihong.Chen.html" aria-hidden="true" type="button" class="btn btn-oxford-blue"><span class="glyphicon glyphicon-sort-by-attributes"></span> By type</a><a href="/people/publications/bibtex/Yihong.Chen.html" aria-hidden="true" type="button" class="btn btn-default"><span class="glyphicon glyphicon-file"></span> BibTex</a></div></div><p></p><h2>
      Journal papers
      </h2><ul class="list-unbulleted list-unbulleted-spaced"><li>
	
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	<p class="publicationTitle"> <strong>
            Jet Expansions of Residual Computation </strong> </p>
	    <p class="publicationAuthors"> <em> Yihong Chen&#x201a; Xiangxiang Xu&#x201a; Yao Lu&#x201a; Pontus Stenetorp and Luca Franceschi  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>arXiv preprint arXiv:2410.06024</em>.
        2024.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16753-abstract.html">
			Details <span class="sr-only" > about <em> Jet Expansions of Residual Computation  </em></span> </a> |
			<a href="/publications/publication16753.bib">
			BibTeX  <span class="sr-only" > data for <em> Jet Expansions of Residual Computation  </em></span>   </a>
			
			
		
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	<p class="publicationTitle"> <strong>
            Pistol: Dataset Compilation Pipeline for Benchmarking Structural Unlearning of Large Language Models </strong> </p>
	    <p class="publicationAuthors"> <em> Xinchi Qiu&#x201a; William F Shen&#x201a; Yihong Chen&#x201a; Nicola Cancedda&#x201a; Pontus Stenetorp and Nicholas D Lane  </em> </p>
	
	<p class="publicationDetails"> 
        In <em>arXiv preprint arXiv:2406.16810</em>.
        2024.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16751-abstract.html">
			Details <span class="sr-only" > about <em> Pistol: Dataset Compilation Pipeline for Benchmarking Structural Unlearning of Large Language Models  </em></span> </a> |
			<a href="/publications/publication16751.bib">
			BibTeX  <span class="sr-only" > data for <em> Pistol: Dataset Compilation Pipeline for Benchmarking Structural Unlearning of Large Language Models  </em></span>   </a>
			
			
		
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        </li></ul><h2>
      Conference papers
      </h2><ul class="list-unbulleted list-unbulleted-spaced"><li>
	
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	<p class="publicationTitle"> <strong>
            Multilingual Language Model Pretraining Using Machine&#x2212;translated Data </strong> </p>
	    <p class="publicationAuthors"> <em> Jiayi Wang&#x201a; Yao Lu&#x201a; Maurice Weber&#x201a; Max Ryabinin&#x201a; David Adelani&#x201a; Yihong Chen&#x201a; Raphael Tang and Pontus Stenetorp  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            EMNLP 2025&#x201a; The 2025 Conference on Empirical Methods in Natural Language Processing</em>.
        2025.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16756-abstract.html">
			Details <span class="sr-only" > about <em> Multilingual Language Model Pretraining Using Machine&#x2212;translated Data  </em></span> </a> |
			<a href="/publications/publication16756.bib">
			BibTeX  <span class="sr-only" > data for <em> Multilingual Language Model Pretraining Using Machine&#x2212;translated Data  </em></span>   </a>
			
			
		
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	<p class="publicationTitle"> <strong>
            Lunar: Llm unlearning via neural activation redirection </strong> </p>
	    <p class="publicationAuthors"> <em> William F Shen&#x201a; Xinchi Qiu&#x201a; Meghdad Kurmanji&#x201a; Alex Iacob&#x201a; Lorenzo Sani&#x201a; Yihong Chen&#x201a; Nicola Cancedda and Nicholas D Lane  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            NeurIPS 2025&#x201a; Thirty&#x2212;ninth Conference on Neural Information Processing Systems</em>.
        2025.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16754-abstract.html">
			Details <span class="sr-only" > about <em> Lunar: Llm unlearning via neural activation redirection  </em></span> </a> |
			<a href="/publications/publication16754.bib">
			BibTeX  <span class="sr-only" > data for <em> Lunar: Llm unlearning via neural activation redirection  </em></span>   </a>
			
			
		
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	<p class="publicationTitle"> <strong>
            AsEP: Benchmarking Deep Learning Methods for Antibody&#x2212;specific Epitope Prediction </strong> </p>
	    <p class="publicationAuthors"> <em> Chunan Liu&#x201a; Lilian Denzler&#x201a; Yihong Chen&#x201a; Andrew Martin and Brooks Paige  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            NeurIPS 2024&#x201a; Thirty&#x2212;eighth Conference on Neural Information Processing Systems&#x201a; Datasets and Benchmarks</em>.
        2024.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16752-abstract.html">
			Details <span class="sr-only" > about <em> AsEP: Benchmarking Deep Learning Methods for Antibody&#x2212;specific Epitope Prediction  </em></span> </a> |
			<a href="/publications/publication16752.bib">
			BibTeX  <span class="sr-only" > data for <em> AsEP: Benchmarking Deep Learning Methods for Antibody&#x2212;specific Epitope Prediction  </em></span>   </a>
			
			
		
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	<p class="publicationTitle"> <strong>
            Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low&#x2212;Resource Languages </strong> </p>
	    <p class="publicationAuthors"> <em> Wanru Zhao&#x201a; Royson Lee&#x201a; Yihong Chen&#x201a; Xinchi Qiu&#x201a; Yan Gao&#x201a; Hongxiang Fan and Nicholas Donald Lane  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            ICLR 2024&#x201a; International Conference on Learning Representations.</em>.
        2023.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16750-abstract.html">
			Details <span class="sr-only" > about <em> Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low&#x2212;Resource Languages  </em></span> </a> |
			<a href="/publications/publication16750.bib">
			BibTeX  <span class="sr-only" > data for <em> Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low&#x2212;Resource Languages  </em></span>   </a>
			
			
		
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	<p class="publicationTitle"> <strong>
            Improving Language Plasticity via Pretraining with Active Forgetting </strong> </p>
	    <p class="publicationAuthors"> <em> Yihong Chen&#x201a; Kelly Marchisio&#x201a; Roberta Raileanu&#x201a; David Ifeoluwa Adelani&#x201a; Pontus Stenetorp&#x201a; Sebastian Riedel and Mikel Artetxe  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            NeurIPS 2023&#x201a; Thirty&#x2212;seventh Conference on Neural Information Processing Systems</em>.
        2023.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16749-abstract.html">
			Details <span class="sr-only" > about <em> Improving Language Plasticity via Pretraining with Active Forgetting  </em></span> </a> |
			<a href="/publications/publication16749.bib">
			BibTeX  <span class="sr-only" > data for <em> Improving Language Plasticity via Pretraining with Active Forgetting  </em></span>   </a>
			
			
		
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	<p class="publicationTitle"> <strong>
            Mini&#x2212;Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training </strong> </p>
	    <p class="publicationAuthors"> <em> Kelly Marchisio&#x201a; Patrick Lewis&#x201a; Yihong Chen and Mikel Artetxe  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            ACL 2023&#x201a; Findings of the Association for Computational Linguistics</em>.
        2022.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16748-abstract.html">
			Details <span class="sr-only" > about <em> Mini&#x2212;Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training  </em></span> </a> |
			<a href="/publications/publication16748.bib">
			BibTeX  <span class="sr-only" > data for <em> Mini&#x2212;Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training  </em></span>   </a>
			
			
		
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	<p class="publicationTitle"> <strong>
            ReFactor GNNs: Revisiting Factorisation&#x2212;based Models from a Message&#x2212;Passing Perspective </strong> </p>
	    <p class="publicationAuthors"> <em> Yihong Chen&#x201a; Pushkar Mishra&#x201a; Luca Franceschi&#x201a; Pasquale Minervini&#x201a; Pontus Stenetorp and Sebastian Riedel  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            NeurIPS 2022&#x201a; Thirty&#x2212;sixth Conference on Neural Information Processing Systems</em>.
        2022.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16747-abstract.html">
			Details <span class="sr-only" > about <em> ReFactor GNNs: Revisiting Factorisation&#x2212;based Models from a Message&#x2212;Passing Perspective  </em></span> </a> |
			<a href="/publications/publication16747.bib">
			BibTeX  <span class="sr-only" > data for <em> ReFactor GNNs: Revisiting Factorisation&#x2212;based Models from a Message&#x2212;Passing Perspective  </em></span>   </a>
			
			
		
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	<p class="publicationTitle"> <strong>
            Relation Prediction as an Auxiliary Training Objective for Improving Multi&#x2212;Relational Graph Representations </strong> </p>
	    <p class="publicationAuthors"> <em> Yihong Chen&#x201a; Pasquale Minervini&#x201a; Sebastian Riedel and Pontus Stenetorp  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            AKBC 2021&#x201a; Third Conference on Automated Knowledge Base Construction</em>.
        2021.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16746-abstract.html">
			Details <span class="sr-only" > about <em> Relation Prediction as an Auxiliary Training Objective for Improving Multi&#x2212;Relational Graph Representations  </em></span> </a> |
			<a href="/publications/publication16746.bib">
			BibTeX  <span class="sr-only" > data for <em> Relation Prediction as an Auxiliary Training Objective for Improving Multi&#x2212;Relational Graph Representations  </em></span>   </a>
			
			
		
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	<p class="publicationTitle"> <strong>
            Learnable Embedding Sizes for Recommender Systems </strong> </p>
	    <p class="publicationAuthors"> <em> Siyi Liu&#x201a; Chen Gao&#x201a; Yihong Chen&#x201a; Depeng Jin and Yong Li  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            ICLR 2021&#x201a; International Conference on Learning Representations.</em>.
        2021.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16745-abstract.html">
			Details <span class="sr-only" > about <em> Learnable Embedding Sizes for Recommender Systems  </em></span> </a> |
			<a href="/publications/publication16745.bib">
			BibTeX  <span class="sr-only" > data for <em> Learnable Embedding Sizes for Recommender Systems  </em></span>   </a>
			
			
		
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	<p class="publicationTitle"> <strong>
            You Impress Me: Dialogue Generation Via Mutual Persona Perception </strong> </p>
	    <p class="publicationAuthors"> <em> Qian Liu&#x201a; Yihong Chen&#x201a; Bei Chen&#x201a; Jian&#x2212;Guang Lou&#x201a; Zixuan Chen&#x201a; Bin Zhou and Dongmei Zhang  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            ACL 2020&#x201a; Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics</em>.
        2020.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16744-abstract.html">
			Details <span class="sr-only" > about <em> You Impress Me: Dialogue Generation Via Mutual Persona Perception  </em></span> </a> |
			<a href="/publications/publication16744.bib">
			BibTeX  <span class="sr-only" > data for <em> You Impress Me: Dialogue Generation Via Mutual Persona Perception  </em></span>   </a>
			
			
		
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	<p class="publicationTitle"> <strong>
            <span style="font-family: serif">&#x03bb;</span>opt: Learn to Regularize Recommender Models in Finer Levels </strong> </p>
	    <p class="publicationAuthors"> <em> Yihong Chen&#x201a; Bei Chen&#x201a; Xiangnan He&#x201a; Chen Gao&#x201a; Yong Li&#x201a; Jian&#x2212;Guang Lou and Yue Wang  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            KDD 2019 ( )&#x201a; Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery  Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining</em>.
        
                Pages 978&#x2013;986.
            2019.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16743-abstract.html">
			Details <span class="sr-only" > about <em> <span style="font-family: serif">&#x03bb;</span>opt: Learn to Regularize Recommender Models in Finer Levels  </em></span> </a> |
			<a href="/publications/publication16743.bib">
			BibTeX  <span class="sr-only" > data for <em> <span style="font-family: serif">&#x03bb;</span>opt: Learn to Regularize Recommender Models in Finer Levels  </em></span>   </a>
			
			
		
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	<p class="publicationTitle"> <strong>
            Learning&#x2212;to&#x2212;ask: Knowledge Acquisition via 20 Questions </strong> </p>
	    <p class="publicationAuthors"> <em> Yihong Chen&#x201a; Bei Chen&#x201a; Xuguang Duan&#x201a; Jian&#x2212;Guang Lou&#x201a; Yue Wang&#x201a; Wenwu Zhu and Yong Cao  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            KDD 2018&#x201a; Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery  Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining</em>.
        
                Pages 1216&#x2013;1225.
            2018.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16742-abstract.html">
			Details <span class="sr-only" > about <em> Learning&#x2212;to&#x2212;ask: Knowledge Acquisition via 20 Questions  </em></span> </a> |
			<a href="/publications/publication16742.bib">
			BibTeX  <span class="sr-only" > data for <em> Learning&#x2212;to&#x2212;ask: Knowledge Acquisition via 20 Questions  </em></span>   </a>
			
			
		
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      Theses
      </h2><ul class="list-unbulleted list-unbulleted-spaced"><li>
	
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	<p class="publicationTitle"> <strong>
            Structure and Destructure: Dual Forces in the Making of Knowledge Engines </strong> </p>
	    <p class="publicationAuthors"> <em> Yihong Chen  </em> </p>
	
	<p class="publicationDetails">  PhD Thesis University College London.
        2025.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication16755-abstract.html">
			Details <span class="sr-only" > about <em> Structure and Destructure: Dual Forces in the Making of Knowledge Engines  </em></span> </a> |
			<a href="/publications/publication16755.bib">
			BibTeX  <span class="sr-only" > data for <em> Structure and Destructure: Dual Forces in the Making of Knowledge Engines  </em></span>   </a>
			
			
					| <a href="https://discovery.ucl.ac.uk/id/eprint/10211291/"> Link <span class="sr-only" > to <em> Structure and Destructure: Dual Forces in the Making of Knowledge Engines  </em></span> </a>
  				
		
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