Jiawei Sheng / 盛傢伟

Jiawei Sheng / 盛傢伟

Tenure-track Associate Researcher at Institute of Information Engineering, CAS

About me

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. in 2023 and was selected for the IIE Outstanding Talent Program (Class B) and the Postdoctoral Fellowship Program. His work has been published in top-tier international conferences and journals. At the University of Chinese Academy of Sciences (UCAS), he teaches graduate courses. 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 regularly serves as a reviewer for top international conferences and journals.

盛傢伟，预聘副研、硕导，2023年博士毕业，入选信工所优才计划B、博士后国资计划。主要研究方向为知识表示、数据挖掘、智能体应用等。总计在CCF-A/B类国际顶级刊会发表论文40余篇，一作/通讯CCF-A/B类14篇，谷歌学术被引1500余次，获ESI高被引1篇，授权或受理专利10项。主持/参与国自然基金青年项目C/面上、国家重点研发、中科院先导、快手校企合作等项目，主持经费近300万。担任国科大《跨模态智能计算及其应用》研究生核心课主讲。担任CCF自然语言处理专委会执行委员、CIPS青工委预备委员。担任10余个国际顶级刊会审稿人，担任ACL、IJCAI等会议领域主席。曾带队在全国学术会议CCKS 2020、2021技术评测中2次获全国冠军及技术创新奖，曾获中国科学院朱李月华奖学金、优秀毕业生奖等。

Research Interests

His research spans the broad areas of knowledge representation, data mining, and agentic applications, with particular interests in the following directions:

  • Representation: ontology, knowledge graph, graph learning, etc.
  • Fusion: multimodal entity alignment, cross-domain recommendation, etc.
  • Reasoning: knowledge graph reasoning, knowledge-augmented LLM, etc.
  • Application: agentic memory and skill, neuro-symbolic approach, etc.

His vision is to advance trustworthy AI that benefits the real world. He strives to be a hands-on researcher rather than merely a research manager. He always welcomes collaborations. Feel free to reach out. :-)

Career

  • Jul. 2023 – Present​: Institute of Information Engineering, Chinese Academy of Sciences. Tenure-Track Associate Professor.
  • Jul. 2023 – Present​: Institute of Information Engineering, Chinese Academy of Sciences. 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.

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 Construtcion and Utilization. 2019.08-2021.12.

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)

Presentations

  • 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, “Calibrating Pseudo-Labeling with Class Distribution for Semi-supervised Text Classification”, Proceedings of EMNLP 2025, Suzhou, China, November 4 - November 9, 2025.

  • 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.

Competitions

Selected 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.
  • Academic Scholarship, University of Chinese Academy of Sciences.
  • Outstanding Student Award, University of Chinese Academy of Sciences.
  • Recipient of the Inspur Scholarship at 2016.

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)

Academic Services

  • Conference PC member: NeurIPS, ICML, ICLR, SIGIR, KDD, ACL, WWW, MM, AAAI, etc.
  • Conference AC/SPC: ACL/ARR, IJCAI, CCL, etc.
  • Journal Reviewer: TKDE, TOIS, MIR, etc.