I am now a Tenure-track Associate Professor at Institute of Information Engineering, Chinese Academy of Sciences. Before that, I received the Ph.D. degree from the Institute of Information Engineering, Chinese Academy of Sciences in 2023, and received the Bachelor’s degree from Jilin University in 2018. I have published several top conference/journel papers, and undertaked multiple important projects. My main research interests include knowledge fusion & reasoning, graph data mining and LLM application. Now, as the main lecturer, I teach the core course, Cross-modal intelligent computing and its applications, to graduate students at the University of Chinese Academy of Sciences (UCAS).

Projects

• National Natural Science Foundation of China Youth Project (No.62406319). Research on Cross-domain Knowledge Graph Completion. 2025.1 - 2027.12. ¥300,000.
• Postdoctoral Fellowship Program (Grade C) of China Postdoctoral Science Foundation (No.GZC20232968). Research on Knowledge Discovery Based on Cross-domain Modeling. 2023.07 - 2025.07. ¥600,000 (¥240k from CPSF + ¥360k from CAS).
• Special Research Assistant Project of CAS (Talent Program Class B), 2023.07 - 2026.07, ¥800,000.
• Kwai School-enterprise Cooperation Project. 2024.8 - 2025.6. ¥500,000.
• R&D Sub-program. Specific Account Recognition Technology, 2025.01-2027.12. ¥600,000.

Selected Papers

• Mitigating Modality Bias in Multi-modal Entity Alignment from a Causal Perspective.
  Taoyu Su, Jiawei Sheng*, Duohe Ma, Xiaodong Li, Juwei Yue, Mengxiao Song, Yingkai Tang and Tingwen Liu. The 48th International ACM SIGIR Conference. (SIGIR 2025, CCF-A, Corresponding Author)

• Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation.
  Xiaodong Li, Hengzhu Tang, Jiawei Sheng*, Xinghua Zhang, Li Gao, Suqi Cheng, Dawei Yin, Tingwen Liu. 2025 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. (KDD 2025, CCF-A, Corresponding Author)

• Hyperbolic GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations.
  Juwei Yue, Haikuo Li, Jiawei Sheng*, Xiaodong Li, Taoyu Su, Tingwen Liu, Li Guo. Forty-Second International Conference on Machine Learning 2025. (ICML 2025, CCF-A, Corresponding Author)

• Graph Wave Networks.
  Juwei Yue, Haikuo Li, Jiawei Sheng*, Yihan Guo, Xinghua Zhang, Chuan Zhou, Tingwen Liu*, Li Guo. International World Wide Web Conference 2025. (WWW 2025, CCF-A, Corresponding Author)

• IBMEA: Exploring Variational Information Bottleneck for Multi-modal Entity Alignment.
  Taoyu Su, Jiawei Sheng*, Shicheng Wang, Xinghua Zhang, Hongbo Xu, Tingwen Liu. In Proceedings of the ACM MULTIMEDIA 2024. (ACM MM 2024, CCF-A, Corresponding Author)

• Uncertain Relational Hypergraph Attention Networks for Document-level Event Factuality Identification.
  Jiawei Sheng, Xin Cong, Jiangxia Cao, Shu Guo, Chen Li, Lihong Wang, Tingwen Liu, Hongbo Xu. In Proceedings of the European Conference on Artificial Intelligence (ECAI 2023, CCF-B)

• CorED: Incorporating Type-level and Instance-level Correlations for Fine-grained Event Detection.
  Jiawei Sheng, Rui Sun, Shu Guo, Shiyao Cui, Jiangxia Cao, Lihong Wang, Tingwen Liu and Hongbo Xu. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, July 11-15 2022. (SIGIR 2022, CCF-A)

• CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction.
  Jiawei Sheng, Shu Guo, Bowen Yu, Qian Li, Yiming Hei, Lihong Wang, Tingwen Liu, Hongbo Xu. In Findings of the 59th Annual Meeting of the Association for Computational Linguistics. (Findings of ACL 2021, CCF-A)

• Adaptive Attentional Network for Few-Shot Knowledge Graph Completion.
  Jiawei Sheng, Shu Guo, Zhenyu Chen, Juwei Yue, Lihong Wang, Tingwen Liu, Hongbo Xu. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing. (EMNLP 2020, CCF-B)

Honors and Awards

• The Top 1 Winner of CCKS 2021 Competition: Fine-grained Event Detection Competition, Chinese Information Processing Society of China. 2021.
• The Technological Innovation Award of CCKS 2021 Competition: Fine-grained Event Detection Competition, Chinese Information Processing Society of China. 2021.
• The Top 1 Winner of CCKS 2020 Competition: Few-shot Cross-domain Event Extraction Competition, Chinese Information Processing Society of China. 2020.
• The Technological Innovation Award of CCKS 2020 Competition: Few-shot Cross-domain Event Extraction Competition, Chinese Information Processing Society of China. 2020.
• The Zhuli Yuehua outstanding doctoral scholarship, Chinese Academy of Sciences at 2022.
• Outstanding Graduate Award of Institute of Information Engineering, Chinese Academy of Sciences at 2023.

Competitions

• CCKS 2021: Fine-grained Event Detection Competition, Rank 1/253 (Team leader)
• CCKS 2020: Few-shot Cross-domain Event Extraction Competition, Rank: 1/391 (Team leader)

Services

• Conference PC member: NeurIPS, ICML, ICLR, SIGIR, KDD, ACL, WWW, MM, AAAI, IJCAI, etc.
• Conference AC: CCL-24.
• Journal Reviewer: TKDE, ESWA.