Zhenyun Deng

According to our database, Zhenyun Deng authored at least 23 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Identifying local useful information for attribute graph anomaly detection.

Penghui Xi, Debo Cheng, Guangquan Lu, Zhenyun Deng, Guixian Zhang, Shichao Zhang

Neurocomputing, 2025

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

The Automated Verification of Textual Claims (AVeriTeC) Shared Task.

Michael Schlichtkrull, Yulong Chen, Chenxi Whitehouse, Zhenyun Deng, Mubashara Akhtar, Rami Aly, Zhijiang Guo, Christos Christodoulopoulos, Oana Cocarascu, Arpit Mittal, James Thorne, Andreas Vlachos

CoRR, 2024

Document-level Claim Extraction and Decontextualisation for Fact-Checking.

Zhenyun Deng, Michael Schlichtkrull, Andreas Vlachos

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning.

Qiming Bao, Alex Yuxuan Peng, Zhenyun Deng, Wanjun Zhong, Gaël Gendron, Timothy Pistotti, Neset Tan, Nathan Young, Yang Chen, Yonghua Zhu, Paul Denny, Michael Witbrock, Jiamou Liu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Robust Node Classification on Graph Data with Graph and Label Noise.

Yonghua Zhu, Lei Feng, Zhenyun Deng, Yang Chen, Robert Amor, Michael Witbrock

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Contrastive Learning with Logic-driven Data Augmentation for Logical Reasoning over Text.

Qiming Bao, Alex Yuxuan Peng, Zhenyun Deng, Wanjun Zhong, Neset Tan, Nathan Young, Yang Chen, Yonghua Zhu, Michael Witbrock, Jiamou Liu

CoRR, 2023

Chain of Propagation Prompting for Node Classification.

Yonghua Zhu, Zhenyun Deng, Yang Chen, Robert Amor, Michael Witbrock

Proceedings of the 31st ACM International Conference on Multimedia, 2023

LRAGAD: Local Information Recognition for Attribute Graph Anomaly Detection.

Penghui Xi, Debo Cheng, Zhenyun Deng, Guixian Zhang, Shichao Zhang

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

2022

Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution Generalisation.

Qiming Bao, Alex Yuxuan Peng, Tim Hartill, Neset Tan, Zhenyun Deng, Michael Witbrock, Jiamou Liu

Proceedings of the 16th International Workshop on Neural-Symbolic Learning and Reasoning as part of the 2nd International Joint Conference on Learning & Reasoning (IJCLR 2022), 2022

TaKG: A New Dataset for Paragraph-level Table-to-Text Generation Enhanced with Knowledge Graphs.

Qianqian Qi, Zhenyun Deng, Yonghua Zhu, Lia Jisoo Lee, Michael Witbrock, Jiamou Liu

Proceedings of the Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, 2022

Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering.

Zhenyun Deng, Yonghua Zhu, Yang Chen, Michael Witbrock, Patricia Riddle

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 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

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

Prompt-based Conservation Learning for Multi-hop Question Answering.

Zhenyun Deng, Yonghua Zhu, Yang Chen, Qianqian Qi, Michael Witbrock, Patricia Riddle

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Multi-scale Graph Fusion for Co-saliency Detection.

Rongyao Hu, Zhenyun Deng, Xiaofeng Zhu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2018

Supervised feature selection algorithm via discriminative ridge regression.

Shichao Zhang, Debo Cheng, Rongyao Hu, Zhenyun Deng

World Wide Web, 2018

A novel <i>k</i>NN algorithm with data-driven <i>k</i> parameter computation.

Shichao Zhang, Debo Cheng, Zhenyun Deng, Ming Zong, Xuelian Deng

Pattern Recognit. Lett., 2018

Efficient subspace clustering based on self-representation and grouping effect.

Shichao Zhang, Yonggang Li, Debo Cheng, Zhenyun Deng, Lifeng Yang

Neural Comput. Appl., 2018

Sparse sample self-representation for subspace clustering.

Zhenyun Deng, Shichao Zhang, Lifeng Yang, Ming Zong, Debo Cheng

Neural Comput. Appl., 2018

2017

Leverage triple relational structures via low-rank feature reduction for multi-output regression.

Shichao Zhang, Lifeng Yang, Zhenyun Deng, Debo Cheng, Yonggang Li

Multim. Tools Appl., 2017

2016

Efficient kNN classification algorithm for big data.

Zhenyun Deng, Xiaoshu Zhu, Debo Cheng, Ming Zong, Shichao Zhang

Neurocomputing, 2016

2014

Improved Spectral Clustering Algorithm Based on Similarity Measure.

Jun Yan, Debo Cheng, Ming Zong, Zhenyun Deng

Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014

kNN Algorithm with Data-Driven k Value.

Debo Cheng, Shichao Zhang, Zhenyun Deng, Yonghua Zhu, Ming Zong

Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014