Jiawei Sheng is a tenure-track associate professor and master’s supervisor at the Institute of Information Engineering, Chinese Academy of Sciences (IIE, CAS). He received his Ph.D. from the University of Chinese Academy of Sciences (UCAS) in 2023, and was selected for the IIE Outstanding Talent Program (Class B) and the Postdoctoral Fellowship Program (Class C). He has long been engaged in research on knowledge engineering, natural language processing, and graph data mining, with his main research interest in knowledge augmentation and trustworthy utilization for large language models and agents.

He has published more than 40 papers in CCF-A/B international top-tier conferences and journals, with over 1,600 Google Scholar citations, one ESI highly cited paper, and 10 granted or filed patents; some of his techniques have been applied to the Kwai recommendation platform. He has led the NSFC Youth Project, National R&D Sub-program, and Kwai school-enterprise collaboration projects, with nearly 3 million RMB in funding as PI, and participated as a core member in the CAS Strategic Priority Research Program and the NSFC General Program, among others. At UCAS, he teaches the graduate core course “Cross-modal Intelligent Computing and Its Applications”. He serves as a committee member of the CCF Natural Language Processing Special Committee, an alternate committee member of the CIPS Youth Working Committee, and an expert of the Beijing Information Industry Association. He also serves as a PC member for more than 10 top international conferences and journals, as an AC/SPC for ACL/ARR, AAAI, IJCAI, etc., and as a SAC for COLING, etc. As team leader, he led his team to first place and the Technical Innovation Award in the evaluation tasks at CCKS 2020 and 2021. He also received the Zhuli Yuehua Outstanding Doctoral Scholarship of CAS and the Outstanding Graduate Award of IIE, among others.

Research Interests

His research spans the broad areas of knowledge engineering, natural language processing, and graph data mining, with particular interests in knowledge augmentation and trustworthy utilization for large language models and agents, focusing on the following directions:

• Knowledge Modeling and Representation: ontology modeling, knowledge graph representation, graph machine learning, etc.
• Knowledge Fusion and Reasoning: entity alignment, cross-domain recommendation, knowledge graph reasoning, knowledge-augmented LLM generation, etc.
• Agent-oriented Knowledge Application: agentic memory, agentic skills, domain agents, etc.

His long-term vision is to build deployable trustworthy AI systems that serve real-world application needs. He hopes to keep producing interesting, useful, and better research. He strives to remain a hands-on researcher rather than merely a research manager. Feel free to reach out and collaborate. :-)

Career

• Jul. 2023 – Present​: Institute of Information Engineering, Chinese Academy of Sciences. Outstanding Talent Program (Class B), Tenure-Track Associate Professor, Postdoc Researcher.
• ​Sep. 2018 – Jun. 2023​: ​University of Chinese Academy of Sciences (UCAS), Ph.D. in Natural Language Processing.
• ​Sep. 2014 – Jun. 2018​: ​Jilin University​. ​B.S.​​ in Computer Science and Technology.

Selected Papers

• Conditional Diffusion Guided Knowledge Transfer for Multi-Domain Knowledge Graph Completion.
  Jiawei Sheng, Taoyu Su, Xixun Lin, Xiaodong Li and Tingwen Liu. In Proceedings of WWW 2026. (CCF-A, oral 9.4%)
• HyperMem: Hypergraph Memory for Long-Term Conversations.
  Juwei Yue, Chuanrui Hu, Jiawei Sheng*, Zuyi Zhou, Wenyuan Zhang, Tingwen Liu, Li Guo, Yafeng Deng. In Proceedings of ACL 2026. (CCF-A)
• Information-Theoretic Minimal Sufficient Representation for Multi-Domain Knowledge Graph Completion.
  Jiawei Sheng, Taoyu Su, Weiyi Yang, Linghui Wang, Yongxiu Xu, Tingwen Liu. In Proceedings of AAAI 2026. (CCF-A, oral 4.6%)
• 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. In Proceedings of SIGIR 2025. (CCF-A)
• 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. In Proceedings of KDD 2025. (CCF-A)
• 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. In Proceedings of ICML 2025. (CCF-A)
• Graph Wave Networks.
  Juwei Yue, Haikuo Li, Jiawei Sheng*, Yihan Guo, Xinghua Zhang, Chuan Zhou, Tingwen Liu*, Li Guo. In Proceedings of WWW 2025. (CCF-A)
• 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 ACM MM 2024. (CCF-A)
• 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 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 ACL 2021. (CCF-A)

Projects

• National Natural Science Foundation of China Youth Project. PI. Research on Cross-domain Knowledge Graph Completion. 2025.1 - 2027.12. ¥300k.
• Postdoctoral Fellowship Program (Grade C). PI. Research on Knowledge Discovery Based on Cross-domain Modeling. 2023.07 - 2025.07. ¥600,000 (including ¥360k from CAS).
• Special Research Assistant Project of CAS (Talent Program Class B). PI. 2023.07 - 2026.07. ¥800k.
• Kwai School-enterprise Cooperation Project. PI. 2024.8 - 2025.6. ¥500k.
• R&D Sub-program. PI. Specific Account Recognition Technology. 2025.01-2027.12. ¥600k.
• R&D, Co-I. Research on KG Construction Theory. 2021.12-2024.11.
• SPRP CAS, Co-I. Research on KG Construction and Utilization. 2019.08-2021.12.

Selected Awards

• IIE Outstanding Talent Program (Class B), 2023.
• The Postdoctoral Fellowship Program (Class C), 2023.
• The Top 1 Winner of CCKS 2021 Competition: Fine-grained Event Detection Competition. Chinese Information Processing Society of China. 2021. Rank 1/253 (Team leader).
• 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. Rank: 1/391 (Team leader).
• The Technological Innovation Award of CCKS 2020 Competition: Few-shot Cross-domain Event Extraction Competition. Chinese Information Processing Society of China. 2020.
• Outstanding Graduate Award of Institute of Information Engineering, CAS at 2023.
• The Zhuli Yuehua outstanding doctoral scholarship, CAS at 2022.
• Academic Scholarship, University of Chinese Academy of Sciences.
• Outstanding Student Award, University of Chinese Academy of Sciences.
• Recipient of the Inspur Scholarship at 2016.

Presentations

• Speaker, “Knowledge Engineering for Agents: From Knowledge Representation and Construction to Application”, slides, a research institute, July 2026.
• Session Chair & Speaker, Data Mining and Knowledge Management 5, “Information-Theoretic Minimal Sufficient Representation for Multi-Domain Knowledge Graph Completion”, Proceedings of AAAI 2026, Singapore, January 20 – January 27, 2026.
• Speaker, “IBMEA: Exploring Variational Information Bottleneck for Multi-modal Entity Alignment”, Proceedings of ACM MM 2024, Melbourne, Australia, October 28 – November 1, 2024.
• Speaker, “Uncertain Relational Hypergraph Attention Networks for Document-level Event Factuality Identification”, Proceedings of ECAI 2023, Kraków, Poland, September 30 – October 4, 2023.

Advised Students

He feels great honour to work alongside such talented students:

• Ph.D. Students (w/ Prof. Liu)
  • 2021: Xiaodong Li (RecSys)
  • 2022: Juwei Yue (Graph ML)
  • 2022: Zefeng Zhang (MLLM)
  • 2023: Ruochen Yang (RecSys)
  • 2023: Yao Chen (LLM)
  • 2024: Shuaiyi Nie (LLM)
  • 2025: Simeng Zhang (LLM)
• Master Students (w/ Prof. Liu)
  • 2021: Gehang Zhang (Graph ML)
  • 2023: Linghui Wang (Social bot detection)
  • 2025: Shibo Ban (Agent)
  • 2026: Yujie Gu (Agent)

Academic Services

• Committee Member, CCF-NLP Special Committee.
• Alternate Committee Member, CIPS Youth Working Committee.
• Expert, Beijing Information Industry Association.
• Conference PC member: NeurIPS, ICML, ICLR, SIGIR, KDD, ACL, WWW, MM, AAAI, etc.
• Conference AC/SPC: ACL/ARR, AAAI, IJCAI, CCL, etc.
• Conference SAC: COLING, etc.
• Journal Reviewer: TKDE, TOIS, MIR, etc.