I am now a master student of computer science in Zhejiang University KG Lab, advised by Prof. Huajun Chen and Prof. Wen Zhang. My research interest includes Multi-modal Knowledge Graphs (MMKG), Large Language Models (LLM), and their application (KG&LLM Application) in real-world scenarios. I have published several papers at the top conferences such as SIGIR, ACL, ACM MM, SIGKDD, ICDE, AAAI, COLING, ISWC, IJCNN, NLPCC. Here is an overview of my research area and publications:
I maintain a online noteboook (mainly in Chinese) on this link to share my learning notes and daily life.
I am an incoming Ph.D. student of Zhejiang University in 2025 Spring.
🔥 News
- 2025.01: 😄 We pre-print our paper Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking.
- 2024.12: 🎉 Our papers about Fine-grained Multi-modal Entity Representation and LLM-based Knowledge Graph Completion has been accepted by AAAI 2025.
- 2024.07: 🎉 Our paper about Structural Knowledge Incorporation for LLMs has been accepted by ACM MM 2024 (oral presentation).
- 2024.05: 😄 We pre-print two papers about knowledge pre-training for diverse downstream tasks and mixture of modality knowledge experts in multi-modal knowledge graph.
- 2024.05: 🎉 Our paper about Knowledgeable Alignment for LLMs has been accepted by ACL 2024 (Findings).
- 2024.03: 🎉 Our paper about multi-modal knowledge graph completion is accepted by SIGIR 2024.
- 2024.02: 🎉 One paper about multi-modal knowledge graph completion is accepted by LREC-COLING 2024.
- 2024.02: 😄 We pre-print our survey paper Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey.
- 2023.12: 😄 I join Ant Group for a research intern, focusing on knowledge pre-training for recommender systems.
🌟 Preprints
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
- TL;DR: A comprehensive evaluation of structural knowledge promptings LLM.
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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
- TL;DR: Mixture-of-experts networks in MMKG.
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Yichi Zhang, Binbin Hu, Zhuo Chen, Lingbing Guo, Ziqi Liu, Zhiqiang Zhang, Lei Liang, Huajun Chen, Wen Zhang
- TL;DR: Unified pre-training and prompt tuning for item knowledge graphs to serve diverse downstream tasks like recommendation and text understanding.
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(MyGO)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
- TL;DR: Fine-grained modality information tokenization, fusion, and augmentation in multi-modal knowledge graphs.
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Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering
Yichi Zhang, Zhuo Chen, Yin Fang, Lei Cheng, Yanxi Lu, Fangming Li, Wen Zhang, Huajun Chen
- TL;DR: Aligning LLMs with knowledgeable human preference with external KGs for domain-specific application.
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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
- TL;DR: MMKG completion with diverse and imbalanced modality information.
- Github Stars:
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Making Large Language Models Perform Better in Knowledge Graph Completion
Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Wen Zhang, Huajun Chen
- TL;DR: Incorporating structural information from KGs into LLMs to conduct structure-aware knowledge reasoning.
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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
- TL;DR: Comprehensive survey about MMKG and KG-enhanced multi-modal learning.
- Github Stars:
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Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion
Yichi Zhang, Zhuo Chen, Lei Liang, Huajun Chen, Wen Zhang
- TL;DR: Augmenting the imbalanced modality information of MMKGs with adversarial training.
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📝 Publications
AAAI 2025Tokenization, 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 (CCF-A)AAAI 2025K-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 (CCF-A)ACM MM 2024Making Large Language Models Perform Better in Knowledge Graph Completion. Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Wen Zhang, Huajun Chen (CCF-A, Oral)ACL 2024 (Findings)Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering. Yichi Zhang, Zhuo Chen, Yin Fang, Lei Cheng, Yanxi Lu, Fangming Li, Wen Zhang, Huajun Chen (CCF-A)SIGIR 2024NativE: Multi-modal Knowledge Graph Completion in the Wild. Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen. (CCF-A)KBS 2024Distributed 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. (CCF-C, JCR Section 1)COLING 2024Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion. Yichi Zhang, Zhuo Chen, Lei Liang, Huajun Chen, Wen Zhang. (CCF-B)ISWC 2023Rethinking 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 (CCF-B, Oral, Best Paper Candidate)ACM MM 2023MEAformer: 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 (CCF-A, Poster)NLPCC 2023MACO: A Modality Adversarial and Contrastive Framework for Modality-missing Multi-modal Knowledge Graph Completion. Yichi Zhang, Zhuo Chen, Wen Zhang (CCF-C, Oral)CCKS 2023CausE: Towards Causal Knowledge Graph Embedding. Yichi Zhang, Wen Zhang (EI, Poster)ICDE 2023Tele-Knowledge Pre-training for Fault Analysis. Zhuo Chen, Wen Zhang, Yufeng Huang, Mingyang Chen, Yuxia Geng, Hongtao Yu, Zhen Bi, Yichi Zhang, Zhen Yao, Wenting Song, Xinliang Wu, Yi Yang, Song Jiang, Zhaoyang Lian, Yingying Li, Huajun Chen (CCF-A, Industry Track, Oral)IJCNN 2023Modality-Aware Negative Sampling for Multi-modal Knowledge Graph Embedding. Yichi Zhang, Mingyang Chen, Wen Zhang (CCF-C, Oral)KDD 2022Knowledge Graph Completion with Pre-trained Multimodal Transformer and Twins Negative Sampling. Yichi Zhang, Wen Zhang (CCF-A, UC Track)
🐘 Projects
- Knowledge Graph Enhanced Telecom Fault Analysis. Core participants. Cooperation with Huawei Technology. (2021-2024)
- NeuralKG. An open-source python library for diverse knowledge graphs representation learning. (2021-2022)
👨🔬 Patents
- 一种基于图神经网络与对抗学习的多模态知识图谱补全方法
- 一种多领域知识图谱预训练和微调方法
- 一种基于混合模态知识专家的多模态知识图谱补全方法
🎖 Honors and Awards
- 2024.11 National Scholarship (国家奖学金)
- 2024.04 Chiang Chen Scholarship (蒋震奖学金)
- 2023.04 Chiang Chen Scholarship (蒋震奖学金)
- 2022.06 Outstanding Bachelor’s Degree Graduates (优秀毕业生)
- 2022.04 Distinguished Engineer Scholarship (卓越工程师奖学金)
- 2021.10 Second-class Scholarships in Zhejiang University (校二等奖学金)
- 2020.12 College Scholarship from Higgs Technology (希格斯奖学金)
- 2020.10 Zhejiang Provincial Government Scholarship (浙江省政府奖学金)
- 2020.10 Second-class Scholarship in Zhejiang University (校二等奖学金)
- 2019.10 Second-class Scholarship in Zhejiang University (校二等奖学金)
📖 Educations
- 2022.09 - present, Master Student, Zhejiang University, major in computer science.
- 2018.09 - 2022.06, Undergraduate, Zhejiang University, major in software engineering, GPA: 3.92/4.0, Rank 6/78.
- 2015.09 - 2018.06 Xinchang Middle School. (浙江省新昌中学)
💻 Internships
✍️ Academic Service
- Conference Reviewer: Neurips 2024, WWW 2024, ARR 2023/2024, ACM MM 2024, IJCNN 2024.
- Conference Volunteer: ISWC 2023, IJCKG 2022.