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2025

  • Zhong, Y., Wu, F., Guo, M., Zhang, X., Wang, M., & Wang, H. (2025). Meta-PKE: Memory-Enhanced Task-Adaptive Personal Knowledge Extraction in Daily Life. Information Processing & Management, 62(4), 104097.
  • Ye, Y., Ren, J., Wang, S., Wan, Y., Razzak, I., Hoex, B.,Wang, H., … & Zhang, W. (2025). Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model. Advances in Neural Information Processing Systems, 37, 56878-56897. (CCF A)
  • Wang, H., Khan, A., Liu, J., & Witbrock, M. (2025). Guest Editorial: Special issue on “Neuro-Symbolic Intelligence: large Language Model enabled Knowledge Engineering”. World Wide Web, 28(1), 14.
  • Wang, G., Wang, W., Cao, Y., Teng, Y., Guo, Q.,Wang, H., … & Wang, Y. (2025). Possibilities and challenges in the moral growth of large language models: a philosophical perspective. Ethics and Information Technology, 27(1), 9.

2024

  • Liu, J., Tian, X., Tong, H., Xie, C., Ruan, T., Cong, L., … & Wang, H. (2024). Enhancing Chinese abbreviation prediction with LLM generation and contrastive evaluation. Information Processing & Management, 61(4), 103768. (CCF A)
  • Cheng, X., Wang, C., Liang, F., Wang, H., & Yu, X. B. (2024). A preliminary investigation on enabling digital twin technology for operations and maintenance of urban underground infrastructure. AI in Civil Engineering, 3(1), 4.
  • Wu, F., Liu, L., He, W., Liu, Z., Zhang, Z., Wang, H., & Wang, M. (2024). Time-Sensitve Retrieval-Augmented Generation for Question Answering. International Conference on Information and Knowledge Management.
  • Gao, X., Xiong, Y., Wang, D., Guan, Z., Shi, Z., Wang, H., & Li, S. (2024). Preference-Guided Refactored Tuning for Retrieval Augmented Code Generation. 2024 39th IEEE/ACM International Conference on Automated Software Engineering (ASE), 65-77. (CCF A)
  • Guo, Q., Ren, J., Wang, H., Wu, T., Ge, W., & Zhang, W. (2024). Visual-Language Collaborative Representation Network for Broad-Domain Few-Shot Image Classification. ACM Multimedia. (CCF A)
  • Wang, H., Chowdhury, S.M., & Jin, W. (2024). Wikipedia Empowered Natural Language Interface for Web Search. WISE.
  • Jin, C., Yang, S., Shang, X.,Wang, H., & Zhang, Y. (Eds.). (2024). Web Information Systems and Applications: 21st International Conference, WISA 2024, Yinchuan, China, August 2–4, 2024, Proceedings (Vol. 14883). Springer Nature.
  • Wang, X., Chen, Z., Wang, H., Li, Z., & Guo, W. (2024). Large Language Model Enhanced Knowledge Representation Learning: A Survey. CoRR.
  • Liu, M., Hu, W., Ding, J., Xu, J., Li, X., Zhu, L., Wang, H., … & Zhang, S. (2024). Medbench: A comprehensive, standardized, and reliable benchmarking system for evaluating chinese medical large language models. Big Data Mining and Analytics, 7(4), 1116-1128.
  • Zhang, W., Wang, J., Chen, C., Lu, W., Du, W., Wang, H., Liu, J., & Ruan, T. (2024). A Bidirectional Extraction-Then-Evaluation Framework for Complex Relation Extraction. IEEE Transactions on Knowledge and Data Engineering, 36, 7442-7454. (CCF A)
  • Wang, S., Zhao, X., Qiu, J., Wang, H., & Tao, C. (2024). WDCIP: spatio-temporal AI-driven disease control intelligent platform for combating COVID-19 pandemic. Geo-spatial Information Science, 27(6), 2023-2047.
  • Sheng, T., Xiong, Y., Wang, H., Zhang, Y., Wang, S., & Zhang, W. (2024). Deep reinforcement learning for community architectural layout generation. Knowl. Inf. Syst., 67, 2453-2480.
  • Du, H., Li,S., Wu, M., Feng, X., Li, Y., & Wang, H. (2024). Rewarding What Matters: Step-by-Step Reinforcement Learning for Task-Oriented Dialogue. The 2024 Conference on Empirical Methods in Natural Language Processing.
  • Lin, Y., Ruan, T., Liu, J., & Wang, H. (2024). A survey on neural data-to-text generation. IEEE Transactions on Knowledge and Data Engineering.（CCF A）
  • Wang, S., Liang, C., Gao, Y., Yang, L., Li, J., & Wang, H. (2024). Decoding Urban Industrial Complexity: Enhancing Knowledge-Driven Insights via IndustryScopeGPT. Proceedings of the 31st ACM International Conference on Multimedia. (CCF A)
  • Hei, N., Guo, Q., Wang, Z., Wang, Y., Wang, H., & Zhang, W. (2024). A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image Synthesis. Proceedings of the AAAI Conference on Artificial Intelligence. (CCF A)
  • Liu, L., Du, H., Zhang, X., Guo, M., Wang, H., & Wang, M. (2024). A Question-Answering Assistant over Personal Knowledge Graph. Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval. (CCF A)
  • Du, H., Feng, X., Ma, J., Wang, M., Tao, S., Zhong, Y., … & Wang, H. (2024). Towards Proactive Interactions for In-Vehicle Conversational Assistants Utilizing Large Language Models. Proceedings of the 33rd International Joint Conference on Artificial Intelligence. (CCF A)
  • Du, H., Tao, S., Feng, X., Ma, J., & Wang, H. (2024). From Passive to Active: Towards Conversational In-Vehicle Navigation Through Large Language Models. International Conference on Human-Computer Interaction. (Best Paper Award)
  • Sun, H., Tian, P., Xiong, Y., Zhang, Y., Xiang, Y., Jia, X., & Wang, H. (2024). Dynamise: dynamic signed network embedding for link prediction. Machine Learning, 113(7), 4037-4053.
  • Liu, J., Tian, X., Tong, H., Xie, C., Ruan, T., Cong, L., … & Wang, H. (2024). Enhancing Chinese abbreviation prediction with LLM generation and contrastive evaluation. Information Processing & Management, 61(4), 103768.
  • Tao, W., Zhou, Y., Wang, Y., Zhang, H., Wang, H., & Zhang, W. (2024). KADEL: Knowledge-Aware Denoising Learning for Commit Message Generation. ACM Transactions on Software Engineering and Methodology.
  • Wang, S., Liang, C., Gao, Y., Ye, Y., Qiu, J., Tao, C., & Wang, H. (2024). Social media insights into spatio-temporal emotional responses to COVID-19 crisis. Health & Place, 85, 103174.

2023

  • Gao, Y., Xiong, Y., Gao, X., Jia, K., Pan, J., Bi, Y., … & Wang, H. (2023). Retrieval-augmented generation for large language models: A survey. arXiv preprint arXiv:2312.10997. (1400+ Citations)
  • Du, H., Zhang, X., Wang, M., Chen, Y., Ji, D., Ma, J., & Wang, H. (2023). A contrastive framework for enhancing knowledge graph question answering: Alleviating exposure bias. Knowledge-Based Systems, 280, 110996.
  • Lin, Y., Ruan, T., Liu, J., & Wang, H. (2023). A survey on neural data-to-text generation. IEEE Transactions on Knowledge and Data Engineering, 36(4), 1431-1449.
  • 康砚澜, 郭倩宇, 张文强, & 王昊奋 (2023). 基于知识增强的医学语言模型: 现状, 技术与应用. 医学信息学杂志, 44(9), 12-22.
  • Liu, M., Zhao, C., Peng, X., Yu, S., Wang, H., & Sha, C. (2023). Task-oriented ml/dl library recommendation based on a knowledge graph. IEEE Transactions on Software Engineering, 49(8), 4081-4096. (CCF A)
  • Li, S., Zhang, T., & Wang, H. (2023). KG-BERT: A Novel Approach for Integrating Knowledge Graphs into BERT for Enhanced NLP Tasks. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics. (CCF A)
  • Chen, X., Xiong, Y., Wang, S., Wang, H., Sheng, T., Zhang, Y., & Ye, Y. (2023). ReCo: A dataset for residential community layout planning. Proceedings of the 31st ACM International Conference on Multimedia. (CCF A)
  • Wu, Y., Wu, X., Li, J., Zhang, Y., Wang, H., Du, W., … & Ruan, T. (2023). Mmpedia: A large-scale multi-modal knowledge graph. In International Semantic Web Conference.
  • Guo, Q., Du, H., Jia, X., Gao, S., Teng, Y., Wang, H., & Zhang, W. (2023). Plug-and-Play Feature Generation for Few-Shot Medical Image Classification. 2023 IEEE International Conference on Bioinformatics and Biomedicine.

2022

  • Li, Z., Wang, H., & Zhang, W. (2022). Translational relation embeddings for multi-hop knowledge base question answering. Journal of Web Semantics, 74, 100723.
  • Zhang, C., Gao, S., Wang, H., & Zhang, W. (2022). Position-aware Joint Entity and Relation Extraction with Attention Mechanism. Proceedings of the 31st International Joint Conference on Artificial Intelligence. (CCF A)
  • Cao, Z., Wang, S., Wang, H., & Zhang, W. (2022). Implicit Sentiment Analysis of Chinese Texts based on Contextual Information and Knowledge Enhancement. IEEE Data Eng. Bull., 45(4), 72-87.
  • 王萌, 王昊奋, 李博涵, 赵翔, & 王鑫. (2022). 新一代知识图谱关键技术综述. 计算机研究与发展, 59(9), 1947-1965.
  • Zhang, A., Tao, W., Li, Z., Wang, H., & Zhang, W. (2022). Type-aware medical visual question answering. IEEE International Conference on Acoustics, Speech and Signal Processing.
  • Du, H., Le, Z., Wang, H., Chen, Y., & Yu, J. (2022). COKG-QA: Multi-hop question answering over COVID-19 knowledge graphs. Data Intelligence, 4(3), 471-492.

2007-2021 and Full List of Papers (DBLP)