Ding, Xin, Hui Zhang, and Xiaoyu Guo. "An unsupervised framework for author-paper linking in bibliographic retrieval system." In 2018 14th International Conference on Semantics, Knowledge and Grids (SKG), pp. 152-159. IEEE, 2018.
Guo, Xiaoyu, Hui Zhang, Rui Liu, Xin Ding, Runqi Tian, and Bencheng Wang. "Attention-Based Combination of CNN and RNN for Relation Classification." In Neural Information Processing: 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part IV 25, pp. 244-255. Springer International Publishing, 2018.
Guo, Xiaoyu, Hui Zhang, Haijun Yang, Lianyuan Xu, and Zhiwen Ye. "A single attention-based combination of CNN and RNN for relation classification." IEEE Access 7 (2019): 12467-12475.
Liu, Ruixue, Baoyang Chen, Xiaoyu Guo, Yan Dai, Meng Chen, Zhijie Qiu, and Xiaodong He. "From knowledge map to mind map: Artificial imagination." In 2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), pp. 496-501. IEEE, 2019.
Liu, Ruixue, Baoyang Chen, Xiaoyu Guo, Meng Chen, Zhijie Qiu, and Xiaodong He. "Another AI? Artificial imagination for artistic mind map generation." International Journal of Multimedia Data Engineering and Management (IJMDEM) 10, no. 3 (2019): 47-63.
Guo, X., Chen, M., Song, Y., He, X. and Zhou, B., 2019. Automated Thematic and Emotional Modern Chinese Poetry Composition. In Natural Language Processing and Chinese Computing: 8th CCF International Conference, NLPCC 2019, Dunhuang, China, October 9–14, 2019, Proceedings, Part I 8 (pp. 433-446). Springer International Publishing.
Shen, Lei, Xiaoyu Guo, and Meng Chen. "Compose like humans: Jointly improving the coherence and novelty for modern chinese poetry generation." In 2020 international joint conference on neural networks (IJCNN), pp. 1-8. IEEE, 2020.
Xiaoyu Guo, Yuan-Fang Li, and Gholamreza Haffari. 2020. Understanding Unnatural Questions Improves Reasoning over Text. In Proceedings of the 28th International Conference on Computational Linguistics, pages 4949–4955, Barcelona, Spain (Online). International Committee on Computational Linguistics.
Xiao-Yu Guo, Yuan-Fang Li, and Gholamreza Haffari. 2021. Improving Numerical Reasoning Skills in the Modular Approach for Complex Question Answering on Text. In Findings of the Association for Computational Linguistics: EMNLP 2021, pages 2713–2718, Punta Cana, Dominican Republic. Association for Computational Linguistics.
Jiayi Chen, Xiao-Yu Guo, Yuan-Fang Li, and Gholamreza Haffari. 2022. Teaching Neural Module Networks to Do Arithmetic. In Proceedings of the 29th International Conference on Computational Linguistics, pages 1502–1510, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.
Xiao-Yu Guo, Yuan-Fang Li, and Gholamreza Haffari. 2022. Complex Reading Comprehension Through Question Decomposition. In Proceedings of the The 20th Annual Workshop of the Australasian Language Technology Association, pages 31–40, Adelaide, Australia. Australasian Language Technology Association.
Xiao-Yu Guo, Yuan-Fang Li, and Gholamreza Haffari. 2023. DeSIQ: Towards an Unbiased, Challenging Benchmark for Social Intelligence Understanding. In Proceedings of EMNLP 2023.