IntroductionWan Jing, Ph.D., associate professor, master's tutor. In July 2000, she joined the Computer Department of Beijing University of Chemical Technology to engage in teaching and scientific research. In 2014, she was funded by the China Scholarship Council to conduct a one-year academic visit at the University of Southern California in the United States. Main research directions: knowledge graph, natural language processing, intelligent information processing, digital protection of cultural heritage. She presided over 4 provincial and ministerial level vertical subjects and more than 10 horizontal projects, participated in 3 national science and technology support projects and 6 State Administration of Cultural Heritage science and technology projects; published more than 70 papers, participated in the preparation of 2 industry standards and 2 group standards, and obtained 10 software copyrights; participated in the compilation and publication of 1 textbook. She has won the Young Teaching Distinguished Teacher of Beijing University of Chemical Technology, the second prize of Beijing Outstanding Teaching Achievement Award and the third prize of Provincial Science and Technology Progress Award. Member of the Language and Knowledge Computing Committee of the Chinese Information Society. EducationWork ExperienceSocial PositionSocial ActivitiesResearchTeachingUndergraduate TeachingSoftware Engineering Java Programming C Programming Postgraduate TeachingNatural Language Processing PostgraduatesFunding
Main scientific research projects hosted and participated in :
Vertical ProjectHorizontal ProjectPublications[+][-]Selected Publications
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2030
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2029
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2028
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2027
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2026
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2025
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2024
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2023
[+][-]before 2023
1. Wan Jing*, Chen Siyun, Zeng Qingyang, Wang Rumei. A multi-path fusion with knowledge augmentation framework for multimodal NER in Chinese painting. npj Heritage Science (SCI), 14, 265 (2026). 2. Yujie Zhang, Zhihao Chen, Qingsong Guo, Jing Wan*. MAMMD: A multi-agent collaboration framework for multimodal metaphor detection. Neurocomputing (SCI, Top), 2026, Volume 681. 3. Jia Mi, Jinghong Sun, Jing Li, Chang Li, Jing Wan*. An artificial intelligence model for accurate drug-target affinity prediction in medicinal chemistry. European Journal of Medicinal Chemistry (SCI, Top), 2026, Volume 311. 4. Ao Zou, Jun Zou, Shulin Cao, Jiajie Zhang, Jinxin Liu, Jing Wan*, Lei Hou. Dynamic multi teacher knowledge distillation for semantic parsing in KBQA. Expert Systems with Applications (SCI, Top), Volume 263, 2025. 5. Wan Jing*, Li Xinrong, Zhang Hao, Zou Ao, & Wang Rumei. An LLM-based QA system for Chinese Painting and Calligraphy with Knowledge Graphs and external documents. npj Heritage Science (SCI), 13, 643 (2025). 6. Qingyang Zeng, Minghui Yuan, Yueyang Su, Jia Mi, Qianzi Che, Jing Wan*. Improving Multimodal Named Entity Recognition via Text-image Relevance Prediction with Large Language Models[J]. Neurocomputing (SCI, Top), 2025, Volume 651. 7. Jia Mi, Chang Li, Han Wang, Ying Du, Chong Chu, Jing Wan*, Kunfeng Wang*. USPDB: A novel U-shaped equivariant graph neural network with subgraph sampling for protein-DNA binding site prediction[J]. Expert Systems with Applications (SCI, Top), 2025, Volume 291. 8. Jing Li, Jia Mi, Wei Lin, Fengjuan Tian, Jing Wan*, Jingyang Gao*, Yigang Tong*. VirNucPro: an identifier for the identification of viral short sequences using six-frame translation and large language models. Briefings in Bioinformatics (SCI, Top), 2025, Volume 26, Issue 3. 9. Qingyang Zeng, Minghui Yuan, Jing Wan*, Kunfeng Wang, Nannan Shi*, Qianzi Che, Bin Liu. ICKA: An instruction construction and Knowledge Alignment framework for Multimodal Named Entity Recognition. Expert Systems with Applications (SCI, Top), 2024, Volume 255. 10. Wan Jing*, Zhang Hao, Zou Jun, et al. WuMKG: a Chinese painting and calligraphy multimodal knowledge graph. Heritage Science (SCI, Top), 12, 159 (2024). 11. Jia Mi, Han Wang, Jing Li, Jinghong Sun, Chang Li, Jing Wan*, Yuan Zeng*, Jingyang Gao*. GGN-GO: geometric graph networks for predicting protein function by multi-scale structure features. Briefings in Bioinformatics (SCI, Top), 2024, 25(6). 12. Jinghong Sun, Han Wang, Jia Mi, Jing Wan*, Jingyang Gao*. MTAF-DTA: multi-type attention fusion network for drug-target affinity prediction. BMC Bioinformatics (SCI), 25, 375, 2024. 13. Yubin Chen, Jing Wan*, Yexing Du, Jifan Yu, Lei Hou, and Juanzi Li. Entity Set Expansion based on Category Prompts in MOOCs. KSEM 2024. 14. Jing Wan*, Chunyu Qin, and Jing Yang. Joint Extraction of Nested Entities and Relations Based on Multi-task Learning. KSEM 2023. 15. Jing Wan, Minghui Yuan, Danya Wang, and Yao Fu. Citation Recommendation Based on Knowledge Graph and Multi-task Learning. KSEM 2023. 16. Jun Zou, Shulin Cao, Jing Wan*, Lei Hou, and Jianjun Xu. Improving the Consistency of Semantic Parsing in KBQA through Knowledge Distillation. APWEB-WAIM 2023. 17. Yexing Du, Jifan Yu, Jing Wan*, Jianjun Xu, and Lei Hou. Fine-grained Category Generation for Sets of Entities. APWEB-WAIM 2023. 18. Jing Wan, Minghui Yuan, Zhenhao Dong, Lei Hou, Jiawang Xie, Hongyin Zhu, and Qinghua Wen. Construction of Multimodal Dialog System via Knowledge Graph in Travel Domain. APWEB-WAIM 2023. 19. Zeng Kaisheng, Dong Zhenhao, Hou Lei, Cao Yixin, Hu Minghao, Yu Jifan, Lv Xin, Cao Lei, Wang Xin, Liu Haozhuang, Huang Yi, Feng Junlan, Wan Jing, Li Juanzi, Feng Ling. Interactive Contrastive Learning for Self-Supervised Entity Alignment. CIKM 2022. 20. Baoli Zhang, Zhucong Li, Zhen Gan, Yubo Chen, Jing Wan, Kang Liu, Jun Zhao, Yafei Shi and Shengping Liu. CroAno: A Crowd Annotation Platform for Improving Label Consistency of Chinese NER Dataset. EMNLP 2021. 21. Wan Jing, Li Haoming, Hou Lei, Li Juanzi. Reinforcement Learning for Named Entity Recognition from Noisy Data[C]. NLPCC 2020. Awards
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