A Lightweight Music Texture Transfer System. - Xutan Peng; Chen Li 046; Zhi Cai; Faqiang Shi; Yidan Liu; Jianxin Li 002 (CoRR, 2018)

Hierarchical Attention Networks for Knowledge Base Completion via Joint Adversarial Training. - Chen Li 046; Xutan Peng; Shanghang Zhang; Jianxin Li 002; Lihong Wang (CoRR, 2018)

On the Low-density Latent Regions of VAE-based Language Models. - Ruizhe Li 001; Xutan Peng; Chenghua Lin; Wenge Rong; Zhigang Chen (Preregister@NeurIPS, 2020)

Revisiting the linearity in cross-lingual embedding mappings: from a perspective of word analogies. - Xutan Peng; Chenghua Lin; Mark Stevenson 001; Chen Li 046 (CoRR, 2020)

Forming an Electoral College for a Graph: a Heuristic Semi-supervised Learning Framework. - Chen Li 046; Xutan Peng; Hao Peng 001; Jianxin Li 002; Lihong Wang; Philip S. Yu (CoRR, 2020)

Modeling relation paths for knowledge base completion via joint adversarial training. - Chen Li 046; Xutan Peng; Shanghang Zhang; Hao Peng 001; Philip S. Yu; Min He; Linfeng Du; Lihong Wang (Knowl. Based Syst., 2020)

Graph-based Semi-Supervised Learning by Strengthening Local Label Consistency. - Chen Li 046; Xutan Peng; Hao Peng 001; Jia Wu 001; Lihong Wang; Philip S. Yu; Jianxin Li 002; Lichao Sun 001 (CIKM, 2021)

Summarising Historical Text in Modern Languages. - Xutan Peng; Yi Zheng; Chenghua Lin; Advaith Siddharthan (EACL, 2021)

TextGTL: Graph-based Transductive Learning for Semi-supervised Text Classification via Structure-Sensitive Interpolation. - Chen Li 046; Xutan Peng; Hao Peng 001; Jianxin Li 002; Lihong Wang (IJCAI, 2021)

Highly Efficient Knowledge Graph Embedding Learning with Orthogonal Procrustes Analysis. - Xutan Peng; Guanyi Chen; Chenghua Lin; Mark Stevenson 001 (NAACL-HLT, 2021)

Cross-Lingual Word Embedding Refinement by $ ell_1$ Norm Optimisation. - Xutan Peng; Chenghua Lin; Mark Stevenson 001 (NAACL-HLT, 2021)

Cross-Lingual Word Embedding Refinement by 𝓁1 Norm Optimisation. - Xutan Peng; Chenghua Lin; Mark Stevenson 001 (CoRR, 2021)

On the Latent Holes of VAEs for Text Generation. - Ruizhe Li 001; Xutan Peng; Chenghua Lin (CoRR, 2021)

Learning graph attention-aware knowledge graph embedding. - Chen Li 046; Xutan Peng; Yuhang Niu; Shanghang Zhang; Hao Peng 001; Chuan Zhou 001; Jianxin Li 002 (Neurocomputing, 2021)

Generating Disentangled Arguments with Prompts: A Simple Event Extraction Framework That Works. - Jinghui Si; Xutan Peng; Chen Li 046; Haotian Xu; Jianxin Li 002 (ICASSP, 2022)

On the Security Vulnerabilities of Text-to-SQL Models. - Xutan Peng; Yipeng Zhang; Jingfeng Yang 001; Mark Stevenson 001 (CoRR, 2022)

Cross-knowledge-graph entity alignment via relation prediction. - Hongren Huang; Chen Li 046; Xutan Peng; Lifang He 001; Shu Guo; Hao Peng 001; Lihong Wang; Jianxin Li 002 (Knowl. Based Syst., 2022)

Understanding Linearity of Cross-Lingual Word Embedding Mappings. - Xutan Peng; Mark Stevenson 001; Chenghua Lin; Chen Li 046 (Trans. Mach. Learn. Res., 2022)

Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction. - Qian Li 033; Shu Guo; Cheng Ji 001; Xutan Peng; Shiyao Cui; Jianxin Li 002; Lihong Wang (ACL (Findings), 2023)

On the Vulnerabilities of Text-to-SQL Models. - Xutan Peng; Yipeng Zhang; Jingfeng Yang 001; Mark Stevenson 001 (ISSRE, 2023)

Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction. - Qian Li 033; Shu Guo; Cheng Ji 001; Xutan Peng; Shiyao Cui; Jianxin Li 002 (CoRR, 2023)

PTVD: A Large-Scale Plot-Oriented Multimodal Dataset Based on Television Dramas. - Chen Li 046; Xutan Peng; Teng Wang; Yixiao Ge; Mengyang Liu; Xuyuan Xu; Yexin Wang; Ying Shan (CoRR, 2023)

L-APPLE: Language-agnostic Prototype Prefix Learning for Cross-lingual Event Detection. - Ziqin Zhu; Xutan Peng; Qian Li 033; Cheng Ji 001; Qingyun Sun; Jianxin Li 002 (CIKM, 2024)

Selective Run-Length Encoding. - Xutan Peng; Yi Zhang; Dejia Peng; Jiafa Zhu (DCC, 2024)

Triplet-aware graph neural networks for factorized multi-modal knowledge graph entity alignment. - Qian Li 033; Jianxin Li 002; Jia Wu 001; Xutan Peng; Cheng Ji 001; Hao Peng 001; Lihong Wang; Philip S. Yu (Neural Networks, 2024)