Publications

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]

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]

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 11%)
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]

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]

(* indicates equal contribution)