I joined School of Computer Science and Technology, Wuhan University of Science and Technology as a lecturer in Sept. 2020. I received the B.Eng. degree and PhD degree in computer science from China University of Geosciences (Wuhan) under the supervision of Prof. Zhihua Cai. I am the member of ONTOWEB with the specialist of Frank van Harmelen, Zhisheng Huang and Jinguang Gu. I also collaborate with Anders Soeggard, Desmond Elliott in DIKU, University of Copenhagen closely.

My research interests include question answering and multilingual multimodal representation learning.

🔥 News

• 2025.3:  🎉🎉 New paper accepted at Neurocomputing on [Decoupled contrastive learning for multilingual multimodal medical pre-trained model].
• 2025.3:  🎉🎉 New paper accepted at Information Processing & Management (IPM) on [Towards realistic evaluation of cultural value alignment in large language models].

📝 Publications

1. Towards realistic evaluation of cultural value alignment in large language models
   Haijiang Liu, Yong Cao, Xun Wu, Chen Qiu*, Jinguang Gu, Maofu Liu, Daniel Hershcovich
   In Information Processing & Management.(IPM 2025)
2. Decoupled contrastive learning for multilingual multimodal medical pre-trained model
   Qiyuan Li, Chen Qiu*, Haijiang Liu, Jinguang Gu, Dan Luo
   In Neurocomputing.(Neurocomputing 2025)
3. Cross-modal event extraction via Visual Event Grounding and Semantic Relation Filling
   Maofu Liu, Binyin Zhou, Huijun Hu, Chen Qiu, Xiaokang Zhang
   In Information Processing & Management.(IPM 2025)
4. Explainable Knowledge Reasoning via Thought Chains for Knowledge-based Visual Question Answering
   Chen Qiu, Zhiqiang Xie, Maofu Liu, Huijun Hu
   In Information Processing & Management.(IPM 2024)
5. Edge-Enhanced Super-Resolution Reconstruction of Rock CT Images
   Chennian Gao, Chen Qiu*
   In Chinese Conference on Pattern Recognition and Computer Vision (PRCV).(PRCV 2024)
6. Cross-Modal Noise Information Elimination Network for Medical Visual Question Answering
   Wanjuan Yuan and Chen Qiu*
   In 2024 4th International Conference on Neural Networks, Information and Communication (NNICE). (NNICE 2024)
7. A Question-Guided Multi-hop Reasoning Graph Network for Visual Question Answering
   Zhaoyang Xu, Jinguang Gu, Maofu Liu, Guangyou Zhou, Haidong Fu, and Chen Qiu*
   In Information Processing & Management. (IPM 2023)
8. Multilingual Multimodal Learning with Machine Translated Text
   Chen Qiu, Dan Oneata, Emanuele Bugliarello, Stella Frank, Desmond Elliott
   In Findings of Empirical Methods in Natural Language Processing (EMNLP 2022). | Code
9. A Global–Local Attentive Relation Detection Model for Knowledge-Based Question Answering
   Chen Qiu, Guangyou Zhou, Zhihua Cai, Anders Soeggard
   In IEEE Transactions on Artificial Intelligence. (TAI 2021).
10. A Multilingual Benchmark for Probing Negation-Awareness with Minimal Pairs
    Mareike Hartmann, Miryam de Lhoneux, Daniel Hershcovich, Yova Kementchedjhieva, Lukas Nielsen, Chen Qiu, Anders Søgaard
    In Proceedings of the 25th Conference on Computational Natural Language Learning. (CoNLL 2021).
11. On Language Models for Creoles
    Heather Lent, Emanuele Bugliarello, Miryam de Lhoneux, Chen Qiu, Anders Søgaard
    In Proceedings of the 25th Conference on Computational Natural Language Learning. (CoNLL 2021).
12. Rewarding Coreference Resolvers for Being Consistent with World Knowledge
    Rahul Aralikatte, Heather Lent, Ana Valeria Gonzalez, Daniel Herschcovich, Chen Qiu, Anders Sandholm, Michael Ringaard, Anders Søgaard
    In Empirical Methods in Natural Language Processing and International Joint Conference on Natural Language Processing. (EMNLP-IJCNLP 2019).
13. Using Differential Evolution to Estimate Labeler Quality for Crowdsourcing
    Chen Qiu, Liangxiao Jiang, Zhihua Cai
    In Pacific Rim International Conference on Artificial Intelligence. (PRICAI 2018).
14. Randomly Selected Decision Tree for Test-cost Sensitive Learning
    Chen Qiu, Liangxiao Jiang*, Chaoqun Li
    In Applied Soft Computing, 2017.
15. Not Always Simple Classification: Learning SuperParent for Class Probability Estimation
    Chen Qiu, Liangxiao Jiang*, Chaoqun Li
    In Expert Systems with Applications. (ESWA 2015).
16. A Differential Evolution-Based Method for Class-Imbalanced Cost-Sensitive Learning
    Chen Qiu, Liangxiao Jiang*, Ganggang Kong
    In International Joint Conference on Neural Networks. (IJCNN 2015).
17. A Novel Minority Cloning Technique for Cost-Sensitive Learning
    Liangxiao Jiang, Chen Qiu and Chaoqun Li
    In International Journal of Pattern Recognition and Artificial Intelligence. (IJPRAI 2015).

🎖 Professional services

• Area Chair: ACL 2025
• Program Committee: ACL 2023, EMNLP 2023, ACL 2024
• Reviewer: EMNLP, ESWA, TEVC, IJCNN, KBS, FSDM, ICIC

📖 Educations

• 2014.06 - 2020.06, PhD, successive postgraduate and doctoral programs of study, China University of Geosciences, Wuhan.
• 2018.12 - 2019.12, Joint PhD, University of Copenhagen.
• 2010.09 - 2014.06, B.Eng, China University of Geosciences, Wuhan.

💬 Invited Talks

• 2023.04, Workshop on Opportunities and Challenges in Medical Information Processing in the Era of AI Large Language Models，oral report.
• 2022.12, EMNLP 2022 Pre-Thesis Seminar, BAAI internal talk.