Publications

Peer-reviewed papers

Conferences

• Xutan Peng, Yi Zhang, Dejia Peng, Jiafa Zhu. 2024. Selective Run-Length Encoding. DCC.
• Xutan Peng, Yipeng Zhang, Jingfeng Yang, Mark Stevenson. 2023. On the Security Vulnerabilities of Text-to-SQL Models. ISSRE. (best paper candidate: top 1%)
• Qian Li, Shu Guo, Cheng Ji, Xutan Peng, Shiyao Cui, Jianxin Li, Lihong Wang. 2023. Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction. ACL (Findings).
• Jinghui Si*, Xutan Peng*, Chen Li, Haotian Xu, Jianxin Li. 2022. Generating Disentangled Arguments with Prompts: A Simple Event Extraction Framework that Works. ICASSP. [poster][code]
• Xutan Peng, Guanyi Chen, Chenghua Lin, Mark Stevenson. 2021. Highly Efficient Knowledge Graph Embedding Learning with Orthogonal Procrustes Analysis. NAACL-HLT. [oral][poster][code] (departmental best PhD poster)
• Xutan Peng, Chenghua Lin, Mark Stevenson. 2021. Cross-Lingual Word Embedding Refinement by ℓ₁ Norm Optimisation. NAACL-HLT. [oral][poster][code]
• Xutan Peng, Yi Zheng, Chenghua Lin, Advaith Siddharthan. 2021. Summarising Historical Text in Modern Languages. EACL. [oral][poster][code & data]
• Chen Li, Xutan Peng, Hao Peng, Jianxin Li, Lihong Wang. 2021. TextGTL: Graph-based Transductive Learning for Semi-Supervised Text Classification via Structure-Sensitive Interpolation. IJCAI. [oral][poster]
• Chen Li, Xutan Peng, Hao Peng, Jia Wu, Lihong Wang, Philip S. Yu, Jianxin Li, Lichao Sun. 2021. Graph-based Semi-Supervised Learning by Strengthening Local Label Consistency. CIKM (short). [oral][poster][code]

Journals

• Xutan Peng, Mark Stevenson, Chenghua Lin, Chen Li. 2022. Understanding Linearity of Cross-Lingual Word Embedding Mappings. Transactions on Machine Learning Research. [data & code]
• Hongren Huang, Chen Li, Xutan Peng, Lifang He, Shu Guo, Hao Peng, Lihong Wang, Jianxin Li. 2022. Cross-Knowledge-Graph Entity Alignment via Relation Prediction. Knowledge-Based Systems.
• Ruizhe Li*, Xutan Peng*, Chenghua Lin, Wenge Rong, Zhigang Chen. 2021. On the Low-Density Latent Regions of VAE-based Language Models (Protocol & Result). Proceedings of Machine Learning Research.
• Chen Li, Xutan Peng, Yuhang Niu, Shanghang Zhang, Hao Peng, Chuan Zhou, Jianxin Li. 2021. Learning Graph Attention-Aware Knowledge Graph Embedding. Neurocomputing.
• Chen Li, Xutan Peng, Shanghang Zhang, Hao Peng, Philip S. Yu, Min He, Linfeng Du, Lihong Wang. 2020. Modeling Relation Paths for Knowledge Base Completion via Joint Adversarial Training. Knowledge-Based Systems. [code]

Workshops

• Ruizhe Li*, Xutan Peng*, Chenghua Lin, Frank Guerin, Wenge Rong. 2020. On the Low-Density Latent Regions of VAE-based Language Models (Protocol). PreReg @ NeurIPS. [oral][poster] (spotlight: top 10%)
• Chen Li, Xutan Peng, Hao Peng, Jianxin Li, Lihong Wang, Philip S. Yu. 2020. TextSGCN: Document-Level Graph Topology Refinement for Text Classification. PreReg @ NeurIPS. [poster]

Preprints

• Chen Li, Xutan Peng, Teng Wang, Yixiao Ge, Mengyang Liu, Xuyuan Xu, Yexin Wang, Ying Shan. 2023. PTVD: A Large-Scale Plot-Oriented Multimodal Dataset Based on Television Dramas.
• Qian Li, Jianxin Li, Jia Wu, Xutan Peng, Cheng Ji, Hao Peng, Lihong Wang, Philip S. Yu. 2023. Triplet-Aware Graph Neural Networks for Factorized Multi-Modal Knowledge Graph Entity Alignment.
• Ruizhe Li*, Xutan Peng*, Chenghua Lin. 2021. On the Latent Holes of VAEs for Text Generation.
• Xutan Peng, Chen Li, Zhi Cai, Faqiang Shi, Yidan Liu, Jianxin Li. 2018. A Lightweight Music Texture Transfer System. [video][poster][code]

PhD Thesis

• Xutan Peng. 2022. Embedding Multilingual and Relational Data Using Linear Mappings. White Rose eThesis Repository.

(* indicates equal contribution)