Lingbing Guo 郭凌冰
Lingbing Guo

Lingbing Guo

郭凌冰

Assistant Professor

School of Intelligence
Science and Technology
Nanjing University

Suzhou, China

Office Hours ↗

Wednesdays, 1:00–5:00 PM
每周三 13:00–17:00

Room East 214
Nanyong Building
南雍楼东214

Biography

I am an Assistant Professor at the School of Intelligence Science and Technology, Nanjing University. My research focuses on knowledge-driven AI, particularly large language models and intelligent agents, combining knowledge graphs and multimodal learning to support reliable reasoning and decision-making.

I received my Ph.D. from Zhejiang University in 2025, advised by Prof. Huajun Chen, and my master’s degree from Nanjing University in 2019, advised by Prof. Wei Hu. Before joining Nanjing University, I was an Associate Researcher at Tianjin University.

Research Interests

My current work spans three closely connected directions:

  • Knowledge-Driven LLMs & Agents

    Using dynamic ontologies to organize and revise knowledge; learning from interaction and feedback to build reusable agent memory and reasoning skills.

  • Knowledge-Guided Reasoning & Multi-Agent Collaboration

    Using explicit knowledge of tasks, capabilities, and dependencies to support reasoning, planning, and coordination.

  • Multimodal Learning & Knowledge Graphs

    Learning and reasoning across visual, textual, and relational information, with interests in structural visual understanding, entity alignment, and graph completion.

News

  • 置顶

    招生与科研实习 · Join Us
    欢迎对大语言模型、智能体、知识图谱与多模态学习感兴趣的同学联系我，申请博士、硕士研究生或科研实习。也欢迎希望探索这些方向的本科生交流。 可以发邮件至 lbguo@nju.edu.cn，聊聊你的学习背景、研究兴趣，以及想探索的问题；也欢迎附上简历、项目或已有工作。期待一起发现有趣的问题！

  • 2026.08

    SeeKG: Multi-modal LLMs Understand Knowledge Graphs as Images is accepted to Findings of EMNLP 2026.

  • 2026.08
  • 2026.07

    Two papers appear at ACL 2026 and Findings of ACL 2026, on knowledge-informed citations and multimodal relational reasoning. Papers →

  • 2026.04

    ReaLM is published in WWW 2026 (Oral). Paper →

  • 2026.03

    rMMEA is published in AAAI 2026. Paper →

Publications

Google ScholarDBLP

Selected work, followed by all published and accepted papers by year.

Selected5 papers

  1. 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.

    NeurIPS · 2024Spotlight

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

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

    ICLR · 2024

  3. 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.

    NeurIPS · 2023Spotlight

  4. Understanding and Improving Knowledge Graph Embedding for Entity Alignment

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

    ICML · 2022

  5. Learning to exploit long-term relational dependencies in knowledge graphs

    Lingbing Guo, Zequn Sun, Wei Hu.

    ICML · 2019

20266 papers

  1. SeeKG: Multi-modal LLMs Understand Knowledge Graphs as Images

    Lingbing Guo, Yichi Zhang, Yang Liu, Zhuo Chen, Zequn Sun.

    Findings of EMNLP · 2026To appear · Corresponding author: Zequn Sun

  2. 多域知识图谱的协同建模与下游任务适配

    张溢弛，胡斌斌，陈卓，郭凌冰，刘子奇，梁磊，陈华钧，张文。

    计算机工程与应用 · 2026

  3. Know the Known and the Unknown: Reasonable Answer Generation with Knowledge-Informed Citations

    Yichi Zhang, Zhuo Chen, Lingbing Guo, Jun Xu, Mengshu Sun, Zhizhen Liu, Lei Liang, Wen Zhang, Huajun Chen.

    ACL · 2026

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

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

    Findings of ACL · 2026

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

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

    WWW · 2026Oral

  6. 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.

    AAAI · 2026

20258 papers

  1. 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.

    ACM MM · 2025Oral

  2. 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.

    ACM MM · 2025

  3. 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.

    ACL · 2025

  4. 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.

    ICLR · 2025

  5. 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.

    AAAI · 2025Oral

  6. 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.

    AAAI · 2025

  7. 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.

    COLING · 2025

  8. 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.

    Information Fusion · 2025

20247 papers

  1. 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.

    NeurIPS · 2024Spotlight

  2. Making Large Language Models Perform Better in Knowledge Graph Completion

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

    ACM MM · 2024

  3. 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.

    SIGIR · 2024

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

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

    ICLR · 2024

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

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

    COLING · 2024

  6. Domain-Agnostic Molecular Generation with Self-feedback

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

    ICLR · 2024

  7. Distributed Representations of Entities in Open-World Knowledge Graphs

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

    Knowledge-Based Systems · 2024

20233 papers

  1. 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.

    NeurIPS · 2023Spotlight

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

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

    ISWC · 2023Best Paper Candidate

  3. 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.

    ACM MM · 2023

20222 papers

  1. Understanding and Improving Knowledge Graph Embedding for Entity Alignment

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

    ICML · 2022

  2. Deep Reinforcement Learning for Entity Alignment

    Lingbing Guo, Yuqiang Han, Qiang Zhang, Huajun Chen.

    Findings of ACL · 2022

20194 papers

  1. TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs

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

    ISWC · 2019

  2. Learning to complete knowledge graphs with deep sequential models

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

    Data Intelligence · 2019

  3. Multi-view knowledge graph embedding for entity alignment

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

    IJCAI · 2019

  4. Learning to exploit long-term relational dependencies in knowledge graphs

    Lingbing Guo, Zequn Sun, Wei Hu.

    ICML · 2019

20182 papers

  1. DSKG: A deep sequential model for knowledge graph completion

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

    CCKS · 2018Best English Paper

  2. Re-evaluating embedding-based knowledge graph completion methods

    Farahnaz Akrami, Lingbing Guo, Wei Hu, Chengkai Li.

    CIKM · 2018

Preprints

Recent work on arXiv, listed separately from published and accepted papers.

20264 preprints

  1. Toward Effective and Reliable LLM Agents via Dynamic Ontology

    Xiaohui Zhang, Zequn Sun, Chengyuan Yang, Yuanning Cui, Lingbing Guo, Wei Hu.

    arXiv preprint · 2026

  2. When Entropy Is Not Enough: Reclaiming Lost Semantics in LLM Output Length Prediction

    Feiyang Ren, Shengtao Wen, Lingbing Guo, Yu Tian, Yuanning Cui, Xiang Chen.

    arXiv preprint · 2026

  3. Symbolic and Abstractive Reasoning with Complex Visual Queries

    Yichi Zhang, Jingdian Lu, Zhuo Chen, Lingbing Guo, Jun Xu, Wen Zhang, Huajun Chen.

    arXiv preprint · 2026

  4. 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.

    arXiv preprint · 2026

Awards

2023
ISWC Best Paper Candidate
2018
CCKS Best English Paper

Professional Service

Area Chair
ICML, ICLR, ACL ARR, AAAI.
Reviewer
NeurIPS, ICLR, ICML, ACL ARR, AAAI, IJCAI, SIGIR, ACM MM, ECML, ISWC, COLING, TKDE, KBS, among others.

Talks