Welcome to Haijiang LIU’s homepage! I am a PhD student focusing on Natural Language Processing with an emphasis on cross-cultural and multilingual aspects. My research interests lie at the intersection of Knowledge Graphs, Large Language Models, and Multilingual NLP.

Current Position: Ph.D, Visiting Ph.D (in HKUST-GZ until Oct. 2025)
Institution: Wuhan University of Science and Technology
Department: Computer Science and Technology
Email: alecliu@ontoweb.wust.edu.cn
ORCID: 0009-0001-7879-0693

🔬 Research Interests

Cross-cultural NLP
- Cultural-aware language understanding
- Cross-cultural dialogue systems
- Cultural bias detection and mitigation
Knowledge Graphs
- Multilingual knowledge representation
- Knowledge graph construction and completion
- Cultural knowledge integration
Large Language Models
- Cross-lingual transfer learning
- Cultural adaptation in LLMs
- Multilingual prompt engineering
Multilingual NLP
- Low-resource language processing
- Cross-lingual semantic alignment
- Language-agnostic representations

📝 Publications

2025

Haijiang Liu, Yong Cao, Xun Wu, Chen Qiu, Jinguang Gu, Maofu Liu, Daniel Hershcovich. Towards realistic evaluation of cultural value alignment in large language models: Diversity enhancement for survey response simulation. Information Processing & Management, Volume 62, Issue 4, 2025, 104099, ISSN 0306-4573. https://doi.org/10.1016/j.ipm.2025.104099. 📢 Blog…
Qiyuan Li, Chen Qiu, Haijiang Liu, Jinguang Gu, Dan Luo. Decoupled contrastive learning for multilingual multimodal medical pre-trained model. Neurocomputing, Volume 633, 2025, 129809, ISSN 0925-2312, https://doi.org/10.1016/j.neucom.2025.129809. 📢 Blog…
Haijiang Liu, Chen Qiu, Qiyuan Li, Maofu Liu, Li Wang, and Jinguang Gu. Deep Stable Learning for Cross-lingual Dependency Parsing. 2025, ACM Trans. Asian Low-Resour. Lang. Inf. Process. 24, 6, Article 56 (June 2025), 34 pages. https://doi.org/10.1145/3735509. 📢 Blog…
Qiyuan Li, Haijiang Liu, Caicai Guo, Chao Gao, Deyu Chen, Meng Wang, Feng Gao, Frank van Harmelen, Jinguang Gu. Reviewing clinical knowledge in medical large language models: Training and beyond. Knowledge-Based Systems, Volume 328, 2025, 114215, ISSN 0950-7051. https://doi.org/10.1016/j.knosys.2025.114215. 📢 Blog…

2025

Yong Cao, Haijiang Liu, Arnav Arora, Isabelle Augenstein, Paul Röttger, Daniel Hershcovich. Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations. 2025, 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics. 📢 Blog…
Haijiang Liu, Qiyuan Li, Chao Gao, Yong Cao, Xiangyu Xu, Xun Wu, Daniel Hershcovich, Jinguang Gu. Beyond Demographics: Enhancing Cultural Value Survey Simulation with Multi-Stage Personality-Driven Cognitive Reasoning. 2025, The 2025 Conference on Empirical Methods in Natural Language Processing. 📢 Blog…

2024

Qi Wang, Qiyuan Li, Chao Gao, Haijiang Liu, Fangfang Xu, and Jinguang Gu. A Medical Knowledge Management Mechanism with Knowledge Hypergraph Theory. 2024, In Proceedings of the 2024 5th International Symposium on Artificial Intelligence for Medicine Science (ISAIMS ‘24). Association for Computing Machinery, New York, NY, USA, 627–633. https://doi.org/10.1145/3706890.3706998

🛠️ Selected Projects

Current Projects
Completed Projects

Constructing knowledge graphs of culture-loaded words and their demonstration application in the cross-cultural field (2024 - Present)

Role: Co-Investigator
Funding: [Philosophy and Social Sciences], RMB¥100,000.
PI: Qiaoling XIAO

This project aims to solve the problem of insufficient research on the cross-cultural attributes of culture-loaded words and limited cross-cultural knowledge graph representation capabilities by constructing a multilingual knowledge graph of culture-loaded words. The research adopts a four-stage approach, including ontology construction, knowledge graph construction, fusion expansion, and educational application. Ultimately it forms a fine-grained, cross-cultural knowledge graph to help China-foreign cooperative education & cross-cultural exchanges and improve the teaching efficiency & cultural understanding ability of international students.

Investigating Cross-Cultural Value Alignment in Large Language Models: Methods for Enhanced Communication Across Cultural Contexts (2025 - Present)

Role: Principal Investigator
Funding: [Centre for Governance and Sustainability at NUS Business School and Tencent], up to SGD$30,000.
Collaborators: Xun WU, Daniel HERSHCOVICH, Qiaoling XIAO, Jinguang GU

This project addresses the digital divide that perpetuates cultural misunderstanding and exclusion in AI systems, including inadequate representation of cultural value differences between Chinese and Western models, unclear impacts of model development technology on value orientation, insufficient research on model decision controllability and interpretability, and limited understanding of cultural backgrounds and rationality construction in communication contexts.

Theoretical and practical paths for Hubei provincial universities to carry out high-level applied technology exchanges and cooperation with African countries in subdivided fields (2024 - 2025)

Role: Co-Investigator
Funding: [The Soft Science Plan Research Project of Hubei Province], up to RMB¥200,000.
PI: Qiaoling XIAO

This project aims to systematically elaborate on the relevant theories of carrying out technology transfer and innovation cooperation between China and Africa to serve the country’s overall diplomatic situation; to analyze and study the effective paths for leveraging the resource advantages of more than 120 provincial universities in Hubei to carry out exchanges and cooperation between China and Africa in the field of specialized and subdivided applied technologies, and to form a “Research Report on the Theory and Implementation Paths of Hubei Provincial Universities to Carry out High-level Application Technology Exchanges and Cooperation with African Countries in Subdivided Fields”.

🎓 Education

Ph.D. in Control Systems and Engineering (Expected 2026 Summer)
- Wuhan University of Science and Technology
- Advisor: Prof. Jinguang GU
- Team: Ontoweb
B.S. in Software Engineering (2023)
- Wuhan University of Science and Technology

🤝 Collaborations and Service

Reviewer
- IP&M, KBS etc.
Workshop Organization
- AI + Humanities Seminar and 2024 Knowledge Organization Academic Exchange Forum
Student Volunteer
- DIKS 2023
- CCF Wuhan Member Activity Center 2024 Annual Meeting

📄 Curriculum Vitae

Download Full CV: HJL-cv-05292025.pdf

💻 Technical Skills

Programming Languages: Python, Java, etc.
ML/DL Frameworks: PyTorch, Transformers, etc.
Tools & Technologies: Git, Docker, etc.
Languages: Chinese, English, Spanish (still learning)

📫 Contact

📧 Email: alecliu@ontoweb.wust.edu.cn
📚 Google Scholar: Hajiang Liu
🟢 ORCID: 0009-0001-7879-0693

🔍 Current Research Focus

I am currently working on:

Developing culturally aware language models through cognition augmentation, finetuning, and KG reasoning.
Creating multicultural knowledge graphs to assist understanding and communication.
Exploring cross-culture LLMs applications in reality, i.e. education, conflict resolution, and media de-polarization.

Feel free to reach out if you’re interested in collaboration or have questions about my research!