郭凌冰
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
- 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.
- 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
- 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
- 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.
- 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.
- 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.
- 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.
- 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.
- Lingbing Guo, Zhuo Chen, Jiaoyan Chen, Qiang Zhang, Huajun Chen. DET: A Dual-Encoding Transformer for Relational Graph Embedding. In COLING, 2024.
- Yin Fang, Ningyu Zhang, Zhuo Chen, Lingbing Guo, Xiaohui Fan, Huajun Chen. Domain-Agnostic Molecular Generation with Self-feedback. In ICLR, 2024.
- 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.
- 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.
- 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.
- 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.
- Lingbing Guo, Qiang Zhang, Zequn Sun, Mingyang Chen, Wei Hu, Huajun Chen. Understanding and Improving Knowledge Graph Embedding for Entity Alignment. In ICML, 2022.
- Lingbing Guo, Yuqiang Han, Qiang Zhang, Huajun Chen. Deep Reinforcement Learning for Entity Alignment. In Findings of ACL, 2022.
- Zequn Sun, Jiacheng Huang, Wei Hu, Muchao Chen, Lingbing Guo, Yuzhong Qu. TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs. In ISWC, 2019.
- Lingbing Guo, Qingheng Zhang, Wei Hu, Zequn Sun, Yuzhong Qu. Learning to complete knowledge graphs with deep sequential models. Data Intelligence, 2019.
- Qingheng Zhang, Zequn Sun, Wei Hu, Muchao Chen, Lingbing Guo, Yuzhong Qu. Multi-view knowledge graph embedding for entity alignment. In IJCAI, 2019.
- Lingbing Guo, Zequn Sun, Wei Hu. Learning to exploit long-term relational dependencies in knowledge graphs. In ICML, 2019.
- Lingbing Guo, Qingheng Zhang, Weiyi Ge, Wei Hu, Yuzhong Qu. DSKG: A deep sequential model for knowledge graph completion. In CCKS (Best Paper), 2018.
- Farahnaz Akrami, Lingbing Guo, Wei Hu, Chengkai Li. Re-evaluating embedding-based knowledge graph completion methods. In CIKM, 2018.
