kNN Algorithm with Data-Driven k Value. - Debo Cheng; Shichao Zhang 001; Zhenyun Deng; Yonghua Zhu; Ming Zong (ADMA, 2014)

Improved Spectral Clustering Algorithm Based on Similarity Measure. - Jun Yan; Debo Cheng; Ming Zong; Zhenyun Deng (ADMA, 2014)

Efficient kNN classification algorithm for big data. - Zhenyun Deng; Xiaoshu Zhu; Debo Cheng; Ming Zong; Shichao Zhang 001 (Neurocomputing, 2016)

Leverage triple relational structures via low-rank feature reduction for multi-output regression. - Shichao Zhang 001; Lifeng Yang; Zhenyun Deng; Debo Cheng; Yonggang Li (Multim. Tools Appl., 2017)

Sparse sample self-representation for subspace clustering. - Zhenyun Deng; Shichao Zhang 001; Lifeng Yang; Ming Zong; Debo Cheng (Neural Comput. Appl., 2018)

Efficient subspace clustering based on self-representation and grouping effect. - Shichao Zhang 001; Yonggang Li; Debo Cheng; Zhenyun Deng; Lifeng Yang (Neural Comput. Appl., 2018)

A novel kNN algorithm with data-driven k parameter computation. - Shichao Zhang 001; Debo Cheng; Zhenyun Deng; Ming Zong; Xuelian Deng (Pattern Recognit. Lett., 2018)

Supervised feature selection algorithm via discriminative ridge regression. - Shichao Zhang 001; Debo Cheng; Rongyao Hu; Zhenyun Deng (World Wide Web, 2018)

Multi-scale Graph Fusion for Co-saliency Detection. - Rongyao Hu; Zhenyun Deng; Xiaofeng Zhu 001 (AAAI, 2021)

Prompt-based Conservation Learning for Multi-hop Question Answering. - Zhenyun Deng; Yonghua Zhu; Yang Chen 028; Qianqian Qi 001; Michael Witbrock; Patricia Riddle (COLING, 2022)

Stable Causal Feature Selection based on Direct Causal Effect Estimation. - Xiaojing Du; Qingfeng Chen; Debo Cheng; Qian Huang; Junyue Cao; Zhenyun Deng; Shichao Zhang 001 (HPCC/DSS/SmartCity/DependSys, 2022)

Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering. - Zhenyun Deng; Yonghua Zhu; Yang Chen 028; Michael Witbrock; Patricia Riddle (IJCAI, 2022)

TaKG: A New Dataset for Paragraph-level Table-to-Text Generation Enhanced with Knowledge Graphs. - Qianqian Qi 001; Zhenyun Deng; Yonghua Zhu; Lia Jisoo Lee; Michael Witbrock; Jiamou Liu (AACL/IJCNLP (Findings), 2022)

Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution Generalisation. - Qiming Bao 001; Alex Yuxuan Peng; Tim Hartill; Neset Tan; Zhenyun Deng; Michael Witbrock; Jiamou Liu (NeSy, 2022)

LRAGAD: Local Information Recognition for Attribute Graph Anomaly Detection. - Penghui Xi; Debo Cheng; Zhenyun Deng; Guixian Zhang; Shichao Zhang 001 (ICTAI, 2023)

Chain of Propagation Prompting for Node Classification. - Yonghua Zhu; Zhenyun Deng; Yang Chen 028; Robert Amor; Michael Witbrock (ACM Multimedia, 2023)

Contrastive Learning with Logic-driven Data Augmentation for Logical Reasoning over Text. - Qiming Bao 001; Alex Yuxuan Peng; Zhenyun Deng; Wanjun Zhong; Neset Tan; Nathan Young; Yang Chen 028; Yonghua Zhu; Michael Witbrock; Jiamou Liu (CoRR, 2023)

Robust Node Classification on Graph Data with Graph and Label Noise. - Yonghua Zhu; Lei Feng; Zhenyun Deng; Yang Chen 028; Robert Amor; Michael Witbrock (AAAI, 2024)

Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning. - Qiming Bao 001; Alex Yuxuan Peng; Zhenyun Deng; Wanjun Zhong; Gaël Gendron; Timothy Pistotti; Neset Tan; Nathan Young; Yang Chen 028; Yonghua Zhu; Paul Denny 001; Michael Witbrock; et al. (ACL (Findings), 2024)

Document-level Claim Extraction and Decontextualisation for Fact-Checking. - Zhenyun Deng; Michael Sejr Schlichtkrull; Andreas Vlachos 001 (ACL (1), 2024)

The Automated Verification of Textual Claims (AVeriTeC) Shared Task. - Michael Sejr Schlichtkrull; Yulong Chen 001; Chenxi Whitehouse; Zhenyun Deng; Mubashara Akhtar; Rami Aly; Zhijiang Guo; Christos Christodoulopoulos 001; Oana Cocarascu; Arpit Mittal; James Thorne; Andreas Vlachos 001 (CoRR, 2024)

Counterfactual Samples Constructing and Training for Commonsense Statements Estimation. - Chong Liu; Zaiwen Feng; Lin Liu 003; Zhenyun Deng; Jiuyong Li; Ruifang Zhai; Debo Cheng; Li Qin (CoRR, 2024)

Attention based multi-task interpretable graph convolutional network for Alzheimer's disease analysis. - Shunqin Jiang; Qiyuan Feng; Hengxin Li; Zhenyun Deng; Qinghong Jiang (Pattern Recognit. Lett., 2024)

Identifying local useful information for attribute graph anomaly detection. - Penghui Xi; Debo Cheng; Guangquan Lu; Zhenyun Deng; Guixian Zhang; Shichao Zhang 001 (Neurocomputing, 2025)

PledgeTracker: A System for Monitoring the Fulfilment of Pledges. - Yulong Chen 001; Michael Sejr Schlichtkrull; Zhenyun Deng; David P. A. Corney; Nasim Asl; Joshua Salisbury; Andrew Dudfield; Andreas Vlachos 001 (CoRR, 2025)

Improving Zero-shot Sentence Decontextualisation with Content Selection and Planning. - Zhenyun Deng; Yulong Chen 001; Andreas Vlachos 001 (CoRR, 2025)

Harnessing LLM for Noise-Robust Cognitive Diagnosis in Web-Based Intelligent Education Systems. - Guixian Zhang; Guan Yuan; Ziqi Xu 001; Yanmei Zhang; Jing Ren 001; Zhenyun Deng; Debo Cheng (CoRR, 2025)