Lingbing Guo

According to our database, Lingbing Guo authored at least 45 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Every Little Helps: Building Knowledge Graph Foundation Model with Fine-grained Transferable Multi-modal Tokens.

Yichi Zhang, Zhuo Chen, Lingbing Guo, Wen Zhang, Huajun Chen

CoRR, February, 2026

ReaLM: Residual Quantization Bridges Knowledge Graph Embeddings and Large Language Models.

Wenbin Guo, Xin Wang, Jiaoyan Chen, Lingbing Guo, Zhao Li, Zirui Chen

Proceedings of the ACM Web Conference 2026, 2026

rMMEA: Robust Multi-Modal Entity Alignment with Missing and Noise Visual Modality.

Lingbing Guo, Zhuo Chen, Yichi Zhang, Wenbin Guo, Haonan Yang, Zhao Li, Zirui Chen, Xin Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Structured and Abstractive Reasoning on Multi-modal Relational Knowledge Images.

Yichi Zhang, Zhuo Chen, Lingbing Guo, Lei Liang, Wen Zhang, Huajun Chen

CoRR, October, 2025

ReaLM: Residual Quantization Bridging Knowledge Graph Embeddings and Large Language Models.

Wenbin Guo, Xin Wang, Jiaoyan Chen, Lingbing Guo, Zhao Li, Zirui Chen

CoRR, October, 2025

Knowledge Graphs for Multi-modal Learning: Survey and Perspective.

Zhuo Chen, Yichi Zhang, Yin Fang, Yuxia Geng, Lingbing Guo, Jiaoyan Chen, Xiaoze Liu, Jeff Z. Pan, Ningyu Zhang, Huajun Chen, Wen Zhang

Inf. Fusion, 2025

Abstractive Visual Understanding of Multi-modal Structured Knowledge: A New Perspective for MLLM Evaluation.

Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Min Zhang, Wen Zhang, Huajun Chen

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Client-Server Co-design with Multi-modal Codebooks Makes Better and Faster Federate Knowledge Sharing.

Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Lei Liang, Wen Zhang, Huajun Chen

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Multiple Heads are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learning.

Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Noise-powered Multi-modal Knowledge Graph Representation Framework.

Zhuo Chen, Yin Fang, Yichi Zhang, Lingbing Guo, Jiaoyan Chen, Jeff Z. Pan, Huajun Chen, Wen Zhang

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking.

Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Shaokai Chen, Mengshu Sun, Binbin Hu, Zhiqiang Zhang, Lei Liang, Wen Zhang, Huajun Chen

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation.

Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

K-ON: Stacking Knowledge on the Head Layer of Large Language Model.

Lingbing Guo, Yichi Zhang, Zhongpu Bo, Zhuo Chen, Mengshu Sun, Zhiqiang Zhang, Wen Zhang, Huajun Chen

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Distributed representations of entities in open-world knowledge graphs.

Lingbing Guo, Zhuo Chen, Jiaoyan Chen, Yichi Zhang, Zequn Sun, Zhongpu Bo, Yin Fang, Xiaoze Liu, Huajun Chen, Wen Zhang

Knowl. Based Syst., 2024

Mixture of Modality Knowledge Experts for Robust Multi-modal Knowledge Graph Completion.

Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen

CoRR, 2024

Multi-domain Knowledge Graph Collaborative Pre-training and Prompt Tuning for Diverse Downstream Tasks.

Yichi Zhang, Binbin Hu, Zhuo Chen, Lingbing Guo, Ziqi Liu, Zhiqiang Zhang, Lei Liang, Huajun Chen, Wen Zhang

CoRR, 2024

MyGO: Discrete Modality Information as Fine-Grained Tokens for Multi-modal Knowledge Graph Completion.

Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Huajun Chen, Wen Zhang

CoRR, 2024

The Power of Noise: Toward a Unified Multi-modal Knowledge Graph Representation Framework.

Zhuo Chen, Yin Fang, Yichi Zhang, Lingbing Guo, Jiaoyan Chen, Huajun Chen, Wen Zhang

CoRR, 2024

ASGEA: Exploiting Logic Rules from Align-Subgraphs for Entity Alignment.

Yangyifei Luo, Zhuo Chen, Lingbing Guo, Qian Li, Wenxuan Zeng, Zhixin Cai, Jianxin Li

CoRR, 2024

Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey.

Zhuo Chen, Yichi Zhang, Yin Fang, Yuxia Geng, Lingbing Guo, Xiang Chen, Qian Li, Wen Zhang, Jiaoyan Chen, Yushan Zhu, Jiaqi Li, Xiaoze Liu, Jeff Z. Pan, Ningyu Zhang, Huajun Chen

CoRR, 2024

NativE: Multi-modal Knowledge Graph Completion in the Wild.

Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

MKGL: Mastery of a Three-Word Language.

Lingbing Guo, Zhongpu Bo, Zhuo Chen, Yichi Zhang, Jiaoyan Chen, Yarong Lan, Mengshu Sun, Zhiqiang Zhang, Yangyifei Luo, Qian Li, Qiang Zhang, Wen Zhang, Huajun Chen

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Making Large Language Models Perform Better in Knowledge Graph Completion.

Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Wen Zhang, Huajun Chen

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Revisit and Outstrip Entity Alignment: A Perspective of Generative Models.

Lingbing Guo, Zhuo Chen, Jiaoyan Chen, Yin Fang, Wen Zhang, Huajun Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Domain-Agnostic Molecular Generation with Chemical Feedback.

Yin Fang, Ningyu Zhang, Zhuo Chen, Lingbing Guo, Xiaohui Fan, Huajun Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DET: A Dual-Encoding Transformer for Relational Graph Embedding.

Lingbing Guo, Zhuo Chen, Jiaoyan Chen, Qiang Zhang, Huajun Chen

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Universal Multi-modal Entity Alignment via Iteratively Fusing Modality Similarity Paths.

Bolin Zhu, Xiaoze Liu, Xin Mao, Zhuo Chen, Lingbing Guo, Tao Gui, Qi Zhang

CoRR, 2023

Revisit and Outstrip Entity Alignment: A Perspective of Generative Models.

Lingbing Guo, Zhuo Chen, Jiaoyan Chen, Huajun Chen

CoRR, 2023

Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment.

Zhuo Chen, Lingbing Guo, Yin Fang, Yichi Zhang, Jiaoyan Chen, Jeff Z. Pan, Yangning Li, Huajun Chen, Wen Zhang

Proceedings of the Semantic Web - ISWC 2023, 2023

Newton-Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems.

Lingbing Guo, Weiqing Wang, Zhuo Chen, Ningyu Zhang, Zequn Sun, Yixuan Lai, Qiang Zhang, Huajun Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid.

Zhuo Chen, Jiaoyan Chen, Wen Zhang, Lingbing Guo, Yin Fang, Yufeng Huang, Yichi Zhang, Yuxia Geng, Jeff Z. Pan, Wenting Song, Huajun Chen

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid.

Zhuo Chen, Jiaoyan Chen, Wen Zhang, Lingbing Guo, Yin Fang, Yufeng Huang, Yuxia Geng, Jeff Z. Pan, Wenting Song, Huajun Chen

CoRR, 2022

Unleashing the Power of Transformer for Graphs.

Lingbing Guo, Qiang Zhang, Huajun Chen

CoRR, 2022

Understanding and Improving Knowledge Graph Embedding for Entity Alignment.

Lingbing Guo, Qiang Zhang, Zequn Sun, Mingyang Chen, Wei Hu, Huajun Chen

Proceedings of the International Conference on Machine Learning, 2022

Deep Reinforcement Learning for Entity Alignment.

Lingbing Guo, Yuqiang Han, Qiang Zhang, Huajun Chen

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Principled Representation Learning for Entity Alignment.

Lingbing Guo, Zequn Sun, Mingyang Chen, Wei Hu, Qiang Zhang, Huajun Chen

CoRR, 2021

2020

Decentralized Knowledge Graph Representation Learning.

Lingbing Guo, Weiqing Wang, Zequn Sun, Chenghao Liu, Wei Hu

CoRR, 2020

TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs.

Zequn Sun, Jiacheng Huang, Wei Hu, Muchao Chen, Lingbing Guo, Yuzhong Qu

CoRR, 2020

2019

Learning to Complete Knowledge Graphs with Deep Sequential Models.

Lingbing Guo, Qingheng Zhang, Wei Hu, Zequn Sun, Yuzhong Qu

Data Intell., 2019

TransEdge: Translating Relation-Contextualized Embeddings for Knowledge Graphs.

Zequn Sun, Jiacheng Huang, Wei Hu, Muhao Chen, Lingbing Guo, Yuzhong Qu

Proceedings of the Semantic Web - ISWC 2019, 2019

Multi-view Knowledge Graph Embedding for Entity Alignment.

Qingheng Zhang, Zequn Sun, Wei Hu, Muhao Chen, Lingbing Guo, Yuzhong Qu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs.

Lingbing Guo, Zequn Sun, Wei Hu

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Recurrent Skipping Networks for Entity Alignment.

Lingbing Guo, Zequn Sun, Ermei Cao, Wei Hu

CoRR, 2018

Re-evaluating Embedding-Based Knowledge Graph Completion Methods.

Farahnaz Akrami, Lingbing Guo, Wei Hu, Chengkai Li

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

DSKG: A Deep Sequential Model for Knowledge Graph Completion.

Lingbing Guo, Qingheng Zhang, Weiyi Ge, Wei Hu, Yuzhong Qu

Proceedings of the Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding, 2018