Wang Meng

Associate Professor

Meng Wang is committed to exploring technological research from theoretical algorithm to innovative application, mainly involving multimodal knowledge graph, AIGC for interaction design and other directions. He is the director of two National Natural Science Foundation projects, and also the winner of CCF-Tencent Rhino Bird Fund and CCF-Baidu Pine Cone Fund. He has published more than 50 papers in SCI journals and top conferences..

Research Interests

Multimodal Knowledge graph
Large-scale language models
Multimodal learning

Selected Publications

Towards Proactive Interactions for In-Vehicle Conversational Assistants Utilizing Large Language Models, Huifang Du, Xuejing Feng, Jun Ma, Haofen Wang, Meng Wang, IJCAI 2024 (CCF A)
Adaptive Group Personalization for Federated Mutual Transfer Learning, Haoqing Xu, Dian Shen, Meng Wang, Beilun Wang, ICML 2024 (CCF A)
VQFT: A Visual Query Approach Based on Full-Text Search for Knowledge Graphs, ZhaoZhuo Li, Xin Wang, Meng Wang, Yajun Yang, Bohan Li, Dong Han, VLDB 2024 (CCF A)
A Question-Answering Assistant over Personal Knowledge Graph, Lingyuan Liu, Huifang Du, Xiaolian Zhang, Mengying Guo, Haofen Wang, Meng Wang, SIGIR 2024 (CCF A)
Next POI Recommendation based on Adaptive Graph Learning and Future Preferences, Xiaoxue Li, Bohan Li, Yijun Chen, Xinyue Liu, Shuai Xu, Meng Wang, DASFAA 2024 (CCF B)
Open-Environment Knowledge Graph Construction and Reasoning: Challenges, Approaches, and Opportunities, Ningyu Zhang, Tianxing Wu, Meng Wang, IJCAI 2023 (CCF A)
Probing the Impacts of Visual Context in Multimodal Entity Alignment. Data Science and Engineering, Meng Wang, Yinghui Shi, Han Yang, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng, 2023, 8(2), 124-134. (CCF B)
Self-Supervised Dynamic Hypergraph Recommendation based on Hyper-Relational Knowledge Graph, Yi Liu, Hongrui Xuan, Bohan Li, Meng Wang, Tong Chen, Hongzhi Yin, CIKM 2023 (CCF B)
Cross-Modal Contrastive Learning for Event Extraction, Shuo Wang, Meizhi Ju, Yunyan Zhang, Yefeng Zheng, Meng Wang, Guilin Qi, DASFAA 2023, 699-715. (CCF B)
Take CARE: Improving Inherent Robustness of Spiking Neural Networks with Channel-wise Activation Recalibration Module, Yan Zhang, Cheng Chen, Dian Shen, Meng Wang, and Beilun Wang, ICDM 2023. (CCF B)
Knowledge and data-driven prediction of organ failure in critical care patients, Health Information Science and Systems, Xinyu Ma, Meng Wang, Sihan Lin, Yuhao Zhang, Yanjian Zhang, Wen Ouyang, Xing Liu, 2023, 11(1), 7.

Projects and Awards

2023-2027, National Natural Science Foundation of China
2020-2022, National Natural Science Foundation of China Youth Foundation
CCF- Baidu Pine Cone Fund
CCF- Tencent Rhino Bird Fund
ISWC 2018 Best Student Paper Candidates
IEEE ICBK 2018 Best Paper Award