郭凌冰

English

天津大学 智能与计算学部 副研究员

研究方向：知识图谱、大语言模型、AI for Science
通讯地址：天津市海河教育园区天津大学北洋园校区智能与计算学部
邮政编码：300354
办公地址：55楼B207
电子邮箱：lbguo@tju.edu.cn

个人简历

2016年、2019年、2025年分别于河南大学、南京大学、浙江大学获得计算机科学与技术专业本、硕、博学位，主要研究方向为知识图谱、大语言模型、生成模型、AI for Science。在NeurIPS、ICLR、ICML、IJCAI、AAAI、ACL、SIGIR等国际会议上发表过多篇论文。曾获全国知识图谱与语义计算大会CCKS最佳论文奖、国际语义网大会ISWC最佳论文提名奖等奖励。

学术论文

1. Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen. Multiple Heads are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learning. In ICLR, 2025.
2. Lingbing Guo, Yichi Zhang, Zhongpu Bo, Zhuo Chen, Mengshu Sun, Zhiqiang Zhang, Wen Zhang, Huajun Chen. K-ON: Stacking Knowledge On the Head Layer of Large Language Model. In AAAI (Oral), 2025
3. Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen. Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation. In AAAI, 2025
4. Zhuo Chen, Yin Fang, Yichi Zhang, Lingbing Guo, Jiaoyan Chen, Jeff Z. Pan, Huajun Chen, Wen Zhang. Noise-powered Multi-modal Knowledge Graph Representation Framework. In COLING, 2025.
5. Lingbing Guo Zhongpu Bo, Zhuo Chen, Yichi Zhang, Jiaoyan Chen, Lan Yarong, Mengshu Sun, Zhiqiang Zhang, Yangyifei Luo, Qian Li, Qiang Zhang, Wen Zhang, Huajun Chen. MKGL: Mastery of a Three-Word Language. In NeurIPS (Spotlight), 2024.
6. Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Wen Zhang, Huajun Chen. Making Large Language Models Perform Better in Knowledge Graph Completion. In ACM MM, 2024.
7. Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen. NativE: Multi-modal Knowledge Graph Completion in the Wild. In SIGIR, 2024.
8. Lingbing Guo, Zhuo Chen, Jiaoyan Chen, Yin Fang, Wen Zhang, Huajun Chen. Revisit and Outstrip Entity Alignment: A Perspective of Generative Models. In ICLR, 2024.
9. Lingbing Guo, Zhuo Chen, Jiaoyan Chen, Qiang Zhang, Huajun Chen. DET: A Dual-Encoding Transformer for Relational Graph Embedding. In COLING, 2024.
10. Yin Fang, Ningyu Zhang, Zhuo Chen, Lingbing Guo, Xiaohui Fan, Huajun Chen. Domain-Agnostic Molecular Generation with Self-feedback. In ICLR, 2024.
11. Lingbing Guo, Zhuo Chen, Jiaoyan Chen, Yichi Zhang, Zequn Sun, Zhongpo Bo, Yin Fang, Xiaoze Liu, Huajun Chen, Wen Zhang. Distributed Representations of Entities in Open-World Knowledge Graphs. Knowledge-Based Systems, 2024.
12. Lingbing Guo, Weiqing Wang, Zhuo Chen, Ningyu Zhang, Zequn Sun, Yixuan Lai, Qiang Zhang, Huajun Chen. Newton-Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems. In NeurIPS (Spotlight), 2023.
13. Zhuo Chen, Lingbing Guo, Yin Fang, Yichi Zhang, Jiaoyan Chen, Wen Zhang, Jeff Z. Pan, Yangning Li and Huajun Chen. Rethinking Uncertain Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment. In ISWC (Best Paper Candidate), 2023.
14. Zhuo Chen, Jiaoyan Chen, Wen Zhang, Lingbing Guo, Yin Fang, Yufeng Huang, Yichi Zhang, Yuxia Geng, Jeff Z Pan, Wenting Song, Huajun Chen. MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid. In ACM MM, 2023.
15. Lingbing Guo, Qiang Zhang, Zequn Sun, Mingyang Chen, Wei Hu, Huajun Chen. Understanding and Improving Knowledge Graph Embedding for Entity Alignment. In ICML, 2022.
16. Lingbing Guo, Yuqiang Han, Qiang Zhang, Huajun Chen. Deep Reinforcement Learning for Entity Alignment. In Findings of ACL, 2022.
17. Zequn Sun, Jiacheng Huang, Wei Hu, Muchao Chen, Lingbing Guo, Yuzhong Qu. TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs. In ISWC, 2019.
18. Lingbing Guo, Qingheng Zhang, Wei Hu, Zequn Sun, Yuzhong Qu. Learning to complete knowledge graphs with deep sequential models. Data Intelligence, 2019.
19. Qingheng Zhang, Zequn Sun, Wei Hu, Muchao Chen, Lingbing Guo, Yuzhong Qu. Multi-view knowledge graph embedding for entity alignment. In IJCAI, 2019.
20. Lingbing Guo, Zequn Sun, Wei Hu. Learning to exploit long-term relational dependencies in knowledge graphs. In ICML, 2019.
21. Lingbing Guo, Qingheng Zhang, Weiyi Ge, Wei Hu, Yuzhong Qu. DSKG: A deep sequential model for knowledge graph completion. In CCKS (Best Paper), 2018.
22. Farahnaz Akrami, Lingbing Guo, Wei Hu, Chengkai Li. Re-evaluating embedding-based knowledge graph completion methods. In CIKM, 2018.