Publications

2026

1. Multi-hypothesis Test-Time Adaptation to Mitigate Underspecification

   Afshar Shamsi, Xiao-Yu Guo, Hamid Alinejad-Rokny, Arash Mohammadi, Damien Teney, and Ehsan Abbasnejad

   In Computer Vision – ECCV 2026, 2026

   DOI Bib PDF

   @inproceedings{shamsi2026multi,
     title = {Multi-hypothesis Test-Time Adaptation to Mitigate Underspecification},
     author = {Shamsi, Afshar and Guo, Xiao-Yu and Alinejad-Rokny, Hamid and Mohammadi, Arash and Teney, Damien and Abbasnejad, Ehsan},
     year = {2026},
     booktitle = {Computer Vision -- ECCV 2026},
     pages = {545--561},
     publisher = {Springer Nature Switzerland},
     doi = {10.1007/978-3-032-37138-6_30},
   }

2025

1. Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks

   Bao Gia Doan, Afshar Shamsi, Xiao-Yu Guo, Arash Mohammadi, Hamid Alinejad-Rokny, Dino Sejdinovic, Damien Teney, Damith C. Ranasinghe, and Ehsan Abbasnejad

   In Proceedings of the AAAI Conference on Artificial Intelligence, 2025

   DOI Bib PDF

   @inproceedings{doan2025bella,
     title = {Bayesian Low-Rank Learning ({Bella}): A Practical Approach to Bayesian Neural Networks},
     author = {Doan, Bao Gia and Shamsi, Afshar and Guo, Xiao-Yu and Mohammadi, Arash and Alinejad-Rokny, Hamid and Sejdinovic, Dino and Teney, Damien and Ranasinghe, Damith C. and Abbasnejad, Ehsan},
     year = {2025},
     booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
     volume = {39},
     number = {15},
     pages = {16298--16307},
     doi = {10.1609/aaai.v39i15.33790},
   }

2024

1. Mitigating Language Bias of LMMs in Social Intelligence Understanding with Virtual Counterfactual Calibration

   Peng Chen, Xiao-Yu Guo, Yuan-Fang Li, Xiaowang Zhang, and Zhiyong Feng

   In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

   DOI Bib PDF

   @inproceedings{chen-etal-2024-mitigating,
     title = {Mitigating Language Bias of {LMM}s in Social Intelligence Understanding with Virtual Counterfactual Calibration},
     author = {Chen, Peng and Guo, Xiao-Yu and Li, Yuan-Fang and Zhang, Xiaowang and Feng, Zhiyong},
     year = {2024},
     booktitle = {Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing},
     pages = {1300--1310},
     publisher = {Association for Computational Linguistics},
     doi = {10.18653/v1/2024.emnlp-main.77},
   }

2. An Empirical Analysis on Spatial Reasoning Capabilities of Large Multimodal Models

   Fatemeh Shiri, Xiao-Yu Guo, Mona Golestan Far, Xin Yu, Reza Haf, and Yuan-Fang Li

   In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

   DOI Bib PDF

   @inproceedings{shiri-etal-2024-empirical,
     title = {An Empirical Analysis on Spatial Reasoning Capabilities of Large Multimodal Models},
     author = {Shiri, Fatemeh and Guo, Xiao-Yu and Far, Mona Golestan and Yu, Xin and Haf, Reza and Li, Yuan-Fang},
     year = {2024},
     booktitle = {Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing},
     pages = {21440--21455},
     publisher = {Association for Computational Linguistics},
     doi = {10.18653/v1/2024.emnlp-main.1195},
   }

2023

1. DeSIQ: Towards an Unbiased, Challenging Benchmark for Social Intelligence Understanding

   Xiao-Yu Guo, Yuan-Fang Li, and Gholamreza Haffari

   In EMNLP 2023, 2023

   DOI Bib PDF Video

   @inproceedings{2023-EMNLP,
     doi = {10.18653/v1/2023.emnlp-main.191},
     title = {DeSIQ: Towards an Unbiased, Challenging Benchmark for Social Intelligence Understanding},
     author = {Guo, Xiao-Yu and Li, Yuan-Fang and Haffari, Gholamreza},
     year = {2023},
     booktitle = {EMNLP 2023},
   }

2022

1. Complex Reading Comprehension Through Question Decomposition

   Xiao-Yu Guo, Yuan-Fang Li, and Gholamreza Haffari

   In 20th Annual Workshop of the Australasian Language Technology Association, ALTA 2022, 2022

   Bib PDF

   @inproceedings{2022-ALTA,
     title = {Complex Reading Comprehension Through Question Decomposition},
     author = {Guo, Xiao-Yu and Li, Yuan-Fang and Haffari, Gholamreza},
     year = {2022},
     booktitle = {20th Annual Workshop of the Australasian Language Technology Association, ALTA 2022},
   }

2. Teaching Neural Module Networks to Do Arithmetic

   Jiayi Chen, Xiao-Yu Guo, Yuan-Fang Li, and Gholamreza Haffari

   In Proceedings of the 29th International Conference on Computational Linguistics (COLING 2022), 2022

   Bib PDF Video

   @inproceedings{2022-COLING,
     title = {Teaching Neural Module Networks to Do Arithmetic},
     author = {Chen, Jiayi and Guo, Xiao-Yu and Li, Yuan-Fang and Haffari, Gholamreza},
     year = {2022},
     booktitle = {Proceedings of the 29th International Conference on Computational Linguistics (COLING 2022)},
   }

2021

1. Improving numerical reasoning skills in the modular approach for complex question answering on text

   Xiao-Yu Guo, Yuan-Fang Li, and Gholamreza Haffari

   In Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

   DOI Bib PDF Video

   @inproceedings{2021-EMNLP,
     doi = {10.18653/v1/2021.findings-emnlp.231},
     title = {Improving numerical reasoning skills in the modular approach for complex question answering on text},
     author = {Guo, Xiao-Yu and Li, Yuan-Fang and Haffari, Gholamreza},
     year = {2021},
     booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2021},
   }

2020

1. Understanding unnatural questions improves reasoning over text

   Xiaoyu Guo, Yuan-Fang Li, and Gholamreza Haffari

   In 28th International Conference on Computational Linguistics, COLING 2020, 2020

   DOI Bib PDF Video

   @inproceedings{2020-COLING,
     doi = {10.18653/v1/2020.coling-main.434},
     title = {Understanding unnatural questions improves reasoning over text},
     author = {Guo, Xiaoyu and Li, Yuan-Fang and Haffari, Gholamreza},
     year = {2020},
     booktitle = {28th International Conference on Computational Linguistics, COLING 2020},
   }

2. Compose like humans: Jointly improving the coherence and novelty for modern chinese poetry generation

   Lei Shen, Xiaoyu Guo, and Meng Chen

   In 2020 international joint conference on neural networks (IJCNN), 2020

   DOI Bib

   @inproceedings{2020-IJCNN,
     doi = {10.1109/IJCNN48605.2020.9206888},
     title = {Compose like humans: Jointly improving the coherence and novelty for modern chinese poetry generation},
     author = {Shen, Lei and Guo, Xiaoyu and Chen, Meng},
     year = {2020},
     booktitle = {2020 international joint conference on neural networks (IJCNN)},
   }

2019

1. A single attention-based combination of CNN and RNN for relation classification

   Xiaoyu Guo, Hui Zhang, Haijun Yang, Lianyuan Xu, and Zhiwen Ye

   IEEE Access, 2019

   DOI Bib

   @article{2019-IEEE-Access,
     doi = {10.1109/ACCESS.2019.2891770},
     title = {A single attention-based combination of CNN and RNN for relation classification},
     author = {Guo, Xiaoyu and Zhang, Hui and Yang, Haijun and Xu, Lianyuan and Ye, Zhiwen},
     year = {2019},
     journal = {IEEE Access},
   }

2. Another AI? Artificial imagination for artistic mind map generation

   Ruixue Liu, Baoyang Chen, Xiaoyu Guo, Meng Chen, Zhijie Qiu, and Xiaodong He

   International Journal of Multimedia Data Engineering and Management (IJMDEM), 2019

   DOI Bib

   @article{2019-IJMDEM,
     doi = {10.4018/IJMDEM.2019070103},
     title = {Another AI? Artificial imagination for artistic mind map generation},
     author = {Liu, Ruixue and Chen, Baoyang and Guo, Xiaoyu and Chen, Meng and Qiu, Zhijie and He, Xiaodong},
     year = {2019},
     journal = {International Journal of Multimedia Data Engineering and Management (IJMDEM)},
   }

3. From knowledge map to mind map: Artificial imagination

   Ruixue Liu, Baoyang Chen, Xiaoyu Guo, Yan Dai, Meng Chen, Zhijie Qiu, and Xiaodong He

   In 2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), 2019

   DOI Bib

   @inproceedings{2019-MIPR,
     doi = {10.1109/MIPR.2019.00100},
     title = {From knowledge map to mind map: Artificial imagination},
     author = {Liu, Ruixue and Chen, Baoyang and Guo, Xiaoyu and Dai, Yan and Chen, Meng and Qiu, Zhijie and He, Xiaodong},
     year = {2019},
     booktitle = {2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)},
   }

4. Automated Thematic and Emotional Modern Chinese Poetry Composition

   X. Guo, M. Chen, Y. Song, X. He, and B. Zhou

   In Natural Language Processing and Chinese Computing: 8th CCF International Conference, NLPCC 2019, 2019

   DOI Bib

   @inproceedings{2019-NLPCC,
     doi = {10.1007/978-3-030-32233-5_34},
     title = {Automated Thematic and Emotional Modern Chinese Poetry Composition},
     author = {Guo, X. and Chen, M. and Song, Y. and He, X. and Zhou, B.},
     year = {2019},
     booktitle = {Natural Language Processing and Chinese Computing: 8th CCF International Conference, NLPCC 2019},
   }

2018

1. Attention-Based Combination of CNN and RNN for Relation Classification

   Xiaoyu Guo, Hui Zhang, Rui Liu, Xin Ding, Runqi Tian, and Bencheng Wang

   In Neural Information Processing: 25th International Conference, ICONIP 2018, 2018

   DOI Bib

   @inproceedings{2018-ICONIP,
     doi = {10.1007/978-3-030-04212-7_21},
     title = {Attention-Based Combination of CNN and RNN for Relation Classification},
     author = {Guo, Xiaoyu and Zhang, Hui and Liu, Rui and Ding, Xin and Tian, Runqi and Wang, Bencheng},
     year = {2018},
     booktitle = {Neural Information Processing: 25th International Conference, ICONIP 2018},
   }

2. An unsupervised framework for author-paper linking in bibliographic retrieval system

   Xin Ding, Hui Zhang, and Xiaoyu Guo

   In 2018 14th International Conference on Semantics, Knowledge and Grids (SKG), 2018

   DOI Bib

   @inproceedings{2018-SKG,
     doi = {10.1109/SKG.2018.00028},
     title = {An unsupervised framework for author-paper linking in bibliographic retrieval system},
     author = {Ding, Xin and Zhang, Hui and Guo, Xiaoyu},
     year = {2018},
     booktitle = {2018 14th International Conference on Semantics, Knowledge and Grids (SKG)},
   }