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2020 – today
- 2024
[j5]Qian Li, Jianxin Li
, Jia Wu, Xutan Peng, Cheng Ji, Hao Peng, Lihong Wang, Philip S. Yu:
Triplet-aware graph neural networks for factorized multi-modal knowledge graph entity alignment. Neural Networks 179: 106479 (2024)- [c11]Ziqin Zhu, Xutan Peng, Qian Li, Cheng Ji, Qingyun Sun, Jianxin Li:
L-APPLE: Language-agnostic Prototype Prefix Learning for Cross-lingual Event Detection. CIKM 2024: 3581-3590 - [c10]Xutan Peng, Yi Zhang, Dejia Peng, Jiafa Zhu:
Selective Run-Length Encoding. DCC 2024: 576 - 2023
- [c9]Qian Li, Shu Guo, Cheng Ji, Xutan Peng, Shiyao Cui, Jianxin Li, Lihong Wang:
Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction. ACL (Findings) 2023: 8982-8994 - [c8]Xutan Peng, Yipeng Zhang, Jingfeng Yang, Mark Stevenson:
On the Vulnerabilities of Text-to-SQL Models. ISSRE 2023: 1-12 - [i13]Qian Li, Shu Guo, Cheng Ji, Xutan Peng, Shiyao Cui, Jianxin Li:
Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction. CoRR abs/2306.11020 (2023) - [i12]Chen Li, Xutan Peng, Teng Wang, Yixiao Ge, Mengyang Liu, Xuyuan Xu, Yexin Wang, Ying Shan:
PTVD: A Large-Scale Plot-Oriented Multimodal Dataset Based on Television Dramas. CoRR abs/2306.14644 (2023) - [i11]Xutan Peng, Yi Zhang, Dejia Peng, Jiafa Zhu:
Selective Run-Length Encoding. CoRR abs/2312.17024 (2023) - 2022
- [j4]Hongren Huang, Chen Li, Xutan Peng, Lifang He, Shu Guo, Hao Peng, Lihong Wang, Jianxin Li:
Cross-knowledge-graph entity alignment via relation prediction. Knowl. Based Syst. 240: 107813 (2022) - [j3]Xutan Peng, Mark Stevenson, Chenghua Lin, Chen Li:
Understanding Linearity of Cross-Lingual Word Embedding Mappings. Trans. Mach. Learn. Res. 2022 (2022) - [c7]Jinghui Si, Xutan Peng, Chen Li, Haotian Xu, Jianxin Li:
Generating Disentangled Arguments with Prompts: A Simple Event Extraction Framework That Works. ICASSP 2022: 6342-6346 - [i10]Xutan Peng, Yipeng Zhang, Jingfeng Yang, Mark Stevenson:
On the Security Vulnerabilities of Text-to-SQL Models. CoRR abs/2211.15363 (2022) - 2021
- [j2]Chen Li, Xutan Peng, Yuhang Niu, Shanghang Zhang, Hao Peng, Chuan Zhou, Jianxin Li:
Learning graph attention-aware knowledge graph embedding. Neurocomputing 461: 516-529 (2021) - [c6]Chen Li, Xutan Peng, Hao Peng, Jia Wu, Lihong Wang, Philip S. Yu, Jianxin Li, Lichao Sun:
Graph-based Semi-Supervised Learning by Strengthening Local Label Consistency. CIKM 2021: 3201-3205 - [c5]Xutan Peng, Yi Zheng, Chenghua Lin, Advaith Siddharthan:
Summarising Historical Text in Modern Languages. EACL 2021: 3123-3142 - [c4]Chen Li, Xutan Peng, Hao Peng, Jianxin Li, Lihong Wang:
TextGTL: Graph-based Transductive Learning for Semi-supervised Text Classification via Structure-Sensitive Interpolation. IJCAI 2021: 2680-2686 - [c3]Xutan Peng, Guanyi Chen, Chenghua Lin, Mark Stevenson:
Highly Efficient Knowledge Graph Embedding Learning with Orthogonal Procrustes Analysis. NAACL-HLT 2021: 2364-2375 - [c2]Xutan Peng, Chenghua Lin, Mark Stevenson:
Cross-Lingual Word Embedding Refinement by $\ell_1$ Norm Optimisation. NAACL-HLT 2021: 2690-2701 - [i9]Xutan Peng, Yi Zheng, Chenghua Lin, Advaith Siddharthan:
Summarising Historical Text in Modern Languages. CoRR abs/2101.10759 (2021) - [i8]Xutan Peng, Guanyi Chen, Chenghua Lin, Mark Stevenson:
Highly Efficient Knowledge Graph Embedding Learning with Orthogonal Procrustes Analysis. CoRR abs/2104.04676 (2021) - [i7]Xutan Peng, Chenghua Lin, Mark Stevenson:
Cross-Lingual Word Embedding Refinement by 𝓁1 Norm Optimisation. CoRR abs/2104.04916 (2021) - [i6]Ruizhe Li, Xutan Peng, Chenghua Lin:
On the Latent Holes of VAEs for Text Generation. CoRR abs/2110.03318 (2021) - [i5]Jinghui Si, Xutan Peng, Chen Li, Haotian Xu, Jianxin Li:
Generating Disentangled Arguments with Prompts: A Simple Event Extraction Framework that Works. CoRR abs/2110.04525 (2021) - 2020
- [j1]Chen Li, Xutan Peng, Shanghang Zhang, Hao Peng, Philip S. Yu, Min He, Linfeng Du, Lihong Wang:
Modeling relation paths for knowledge base completion via joint adversarial training. Knowl. Based Syst. 201-202: 105865 (2020) - [c1]Ruizhe Li, Xutan Peng, Chenghua Lin, Wenge Rong, Zhigang Chen:
On the Low-density Latent Regions of VAE-based Language Models. Preregister@NeurIPS 2020: 343-357 - [i4]Xutan Peng, Chenghua Lin, Mark Stevenson, Chen Li:
Revisiting the linearity in cross-lingual embedding mappings: from a perspective of word analogies. CoRR abs/2004.01079 (2020) - [i3]Chen Li, Xutan Peng, Hao Peng, Jianxin Li, Lihong Wang, Philip S. Yu:
Forming an Electoral College for a Graph: a Heuristic Semi-supervised Learning Framework. CoRR abs/2006.06469 (2020)
2010 – 2019
- 2018
- [i2]Xutan Peng, Chen Li, Zhi Cai, Faqiang Shi, Yidan Liu, Jianxin Li:
A Lightweight Music Texture Transfer System. CoRR abs/1810.01248 (2018) - [i1]Chen Li, Xutan Peng, Shanghang Zhang, Jianxin Li, Lihong Wang:
Hierarchical Attention Networks for Knowledge Base Completion via Joint Adversarial Training. CoRR abs/1810.06033 (2018)
Coauthor Index
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