Biography

Hi, there! I'm Zhenyun. I am a postdoctoral research associate at the Department of Computer Science and Technology at the University of Cambridge, working with Prof. Andreas Vlachos on automated fact checking. Before that, I obtained my Ph.D. degree in Computer Science at the University of Auckland in 2023, working with Prof. Michael Witbrock and Dr. Patricia Riddle. Prior to UoA, I previously worked as an NLP engineer in CNKI, Beijing. See CV for more information.

Interests

  • Interpertable AI/NLP
  • Question Answering
  • Fact Checking
  • Graph Neural Networks

News

  • [2024-05] Our paper "Document-level Claim Extraction and Decontextualisation for Fact-Checking" was accepted to ACL 2024.
  • [2024-05] Our paper "Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning" was accepted to ACL 2024.
  • [2023-06] Served as an Area Chair at EMNLP 2023 for the track "Interpretability, Interactivity, and Analysis of Models for NLP".
  • [2023-04] Joined the University of Camrbidge as a postdoc working with Prof. Andreas Vlachos.
  • [2023-03] Completed my Ph.D. defense at the University of Auckland.
  • …

Full Publications

Please find my latest publications on Google Scholar.

Papers (* denotes equal contribution)

Document-level Claim Extraction and Decontextualisation for Fact-Checking [PDF]
Zhenyun Deng, Michael Schlichtkrull, Andreas Vlachos
ACL 2024

Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning [PDF]
Qiming Bao, Alex Yuxuan Peng, Zhenyun Deng, Wanjun Zhong, Gael Gendron, Timothy Pistotti, Neset TAN, Nathan Young, Yang Chen, Yonghua Zhu, Paul Denny, Michael Witbrock, Jiamou Liu
ACL 2024

Robust Node Classification on Graph Data with Graph and Label Noise [PDF]
Yonghua Zhu, Lei Feng, Zhenyun Deng, Yang Chen, Robert Amor, Michael Witbrock
AAAI 2024

Chain of Propagation Prompting for Node Classification [PDF]
Yonghua Zhu, Zhenyun Deng, Yang Chen, Robert Amor, Michael Witbrock
ACM MM 2023

Prompt-based Conservation Learning for Multi-hop Question Answering [PDF]
Zhenyun Deng, Yonghua Zhu, Yang Chen, Qianqian Qi, Michael Witbrock, Patricia Riddle
COLING 2022

Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering (Oral Presentation 4%) [PDF]
Zhenyun Deng, Yonghua Zhu, Yang Chen, Michael Witbrock, Patricia Riddle
IJCAI 2022

Explicit Graph Reasoning Fusing Knowledge and Contextual Information for Multi-hop Question Answering [PDF]
Zhenyun Deng, Yonghua Zhu, Qianqian Qi, Michael Witbrock, Patricia Riddle
DLG4NLP 2022

Multi-scale graph fusion for co-saliency detection [PDF]
Rongyao Hu, Zhenyun Deng*, Xiaofeng Zhu
AAAI 2021

Efficient kNN classification algorithm for big data [PDF]
Zhenyun Deng, Xiaoshu Zhu, Debo Cheng, Ming Zong, Shichao Zhang
Neurocomputing

Academic Service

Area Chair:

  • ACL, EMNLP, NAACL(from 2023)

Program Committee:

  • ARR (ACL Rolling Review, from 2023)
  • IJCAI (from 2019)
  • AAAI (from 2019)

Awards

Awards

PhD Thesis Writing Award, 2022
New Zealand Tertiary Education Commission Fund

Teaching

Teaching Assistant:

  • Graduate Teaching Assistant, University of Auckland, Spring 2022
    Fundamentals of Database Systems (CS351/SE351/CS751)
  • Graduate Teaching Assistant, University of Auckland, Spring 2020
    Fundamentals of Database Systems (CS351/SE351/CS751)