Zhuo Chen (陈卓)Ph.D. Student (looking for Visiting PhD Position or 2025 Fall Postdoc Positions)ZJUKG-Lab College of Computer Science and Technology Zhejiang University Email: zhuo.chen@zju.edu.cn [Google Scholar] [DBLP] [GitHub] [Twitter] |
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Short Bio
I am now a Fourth-year (2020-) Ph.D. student in Computer Science at Zhejiang University, supervised by Prof. Huajun Chen.
My [research interests] lie broadly in knowledge graphs (KGs) and Large language models.
Currently, my research focuses on large language models, specifically knowledge-driven LLMs, and in knowledge-driven multi-modal learning, which involves exploring the integration of knowledge into multi-modal learning, or incorporating multi-modal learning into the representation of knowledge.
In this context, the primary purpose of 'knowledge' is to mitigate biases and hallucinations in models caused by the long-tail distribution of natural data corpora.
If you are interested in my field of work, any form of collaboration and communication is welcome. Please feel free to contact me ! (looking for postdoc positions in 2025)
Preprints
- 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 [arXiv][Project Page]
- 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 [arXiv][Project Page]
- 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 [arXiv][Project Page]
- 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 [arXiv][Project Page]
- Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs Xiaoze Liu, Feijie Wu, Tianyang Xu, Zhuo Chen, Yichi Zhang, Xiaoqian Wang, Jing Gao [arXiv][Project Page]
- 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 [arXiv][Project Page]
- ASGEA: Exploiting Logic Rules from Align-Subgraphs for Entity Alignment Yangyifei Luo, Zhuo Chen, Lingbing Guo, Qian Li, Wenxuan Zeng, Zhixin Cai, Jianxin Li [arXiv]
- Prompting Disentangled Embeddings for Knowledge Graph Completion with Pre-trained Language Model Yuxia Geng, Jiaoyan Chen, Yuhang Zeng, Zhuo Chen, Wen Zhang, Jeff Z Pan, Yuxiang Wang, Xiaoliang Xu [arXiv]
- 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 [arXiv]
- Generative Adversarial Zero-shot Learning via Knowledge Graphs Yuxia Geng, Jiaoyan Chen, Zhuo Chen, Zhiquan Ye, Zonggang Yuan, Yantao Jia, Huajun Chen [arXiv][Project Page]
Publications
- DRAK: Unlocking Molecular Insights with Domain-Specific Retrieval-Augmented Knowledge in LLMs Jinzhe Liu, Xiangsheng Huang, Zhuo Chen, Yin Fang NLPCC 2024 [arXiv]
- Making Large Language Models Perform Better in Knowledge Graph Completion Yichi Zhang, Zhuo Chen, Wen Zhang, Huajun Chen ACM MM 2024 [arXiv][Project Page]
- CREST: Cross-modal Resonance through Evidential Deep Learning for Enhanced Zero-Shot Learning Haojian Huang, Xiaozhen Qiao, Zhuo Chen, Haodong Chen, Bingyu Li, Zhe Sun, Mulin Chen, Xuelong Li ACM MM 2024 [arXiv]
- 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 ACL 2024 Findings [arXiv][Project Page]
- Knowledge-informed Molecular Learning: A Survey on Paradigm Transfer Yin Fang, Zhuo Chen, Xiaohui Fan, Ningyu Zhang KSEM 2024 [arXiv]
- LLM-based Multi-Level Knowledge Generation for Few-shot Knowledge Graph Completion Qian Li, Zhuo Chen, Cheng Ji, Shiqi Jiang, Jianxin Li IJCAI 2024 [arXiv][Project Page]
- NativE: Multi-modal Knowledge Graph Completion in the Wild Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqiang Liu, Wen Zhang, Huajun Chen SIGIR 2024 [arXiv][Project Page]
- 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 Knowledge-Based Systems 2024 [Paper]
- DET: A Dual-Encoding Transformer for Relational Graph Embedding Lingbing Guo, Zhuo Chen, Jiaoyan Chen, Qiang Zhang, Huajun Chen COLING 2024 [Paper][Project Page]
- Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion Yichi Zhang, Zhuo Chen, Lei Liang, Huajun Chen, Wen Zhang COLING 2024 [arXiv][Project Page]
- Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models Yin Fang, Xiaozhuan Liang, Ningyu Zhang, Kangwei Liu, Rui Huang, Zhuo Chen, Xiaohui Fan, Huajun Chen ICLR 2024 [arXiv][Project Page]
- Domain-Agnostic Molecular Generation with Self-feedback Yin Fang, Ningyu Zhang, Zhuo Chen, Lingbing Guo, Xiaohui Fan, Huajun Chen ICLR 2024 [arXiv][Project Page]
- Revisit and Outstrip Entity Alignment: A Perspective of Generative Models Lingbing Guo*, Zhuo Chen*, Jiaoyan Chen, Yin Fang, Wen Zhang, Huajun Chen ICLR 2024 [arXiv]
- Structure-CLIP: Enhance Multi-modal Language Representations with Structure Knowledge Yufeng Huang, Jiji Tang, Zhuo Chen, Rongsheng Zhang, Xinfeng Zhang, Weijie Chen, Zeng Zhao, Tangjie Lv, Zhipeng Hu, Wen Zhang AAAI 2024 [arXiv]
- 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 2023 (Spotlight) [arXiv]
- 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 [arXiv][Project Page]
- MACO: A Modality Adversarial and Contrastive Framework for Modality-missing Multi-modal Knowledge Graph Completion Yichi Zhang, Zhuo Chen and Wen Zhang NLPCC 2023 (Oral) [arXiv][Project Page]
- 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 2023 (Best Paper Candidate) [arXiv][Project Page]
- Aspect-based Sentiment Classification with Sequential Cross-modal Semantic Graph Yufeng Huang, Zhuo Chen, Wen Zhang, Jiaoyan Chen, Jeff Z. Pan, Zhen Yao, Yujie Xie, Huajun Chen ICANN 2023 [arXiv][Project Page]
- Zero-shot and Few-shot Learning with Knowledge Graphs: A Comprehensive Survey Jiaoyan Chen, Yuxia Geng, Zhuo Chen, Jeff Z. Pan, Yuan He, Wen Zhang, Ian Horrocks, Huajun Chen Proceedings of the IEEE (IF=14.91) [arXiv][paper]
- Knowledge Graph-enhanced Molecular Contrastive Learning with Functional Prompt Yin Fang, Qiang Zhang, Ningyu Zhang, Zhuo Chen, Xiang Zhuang, Xin Shao, Xiaohui Fan, Huajun Chen Nature Machine Intelligence (IF=25.90) [paper][Project Page]
- Tele-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, Mingyi Chen, Zhaoyang Lian, Yingying Li, Lei Cheng, Huajun Chen ICDE 2023 [paper][arXiv][Project Page]
- DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning Zhuo Chen, Yufeng Huang, Jiaoyan Chen, Yuxia Geng, Wen Zhang, Yin Fang, Jeff Z Pan, Huajun Chen AAAI 2023 (Oral) [paper][arXiv][Project Page]
- Benchmarking Knowledge-driven Zero-shot Learning Yuxia Geng, Jiaoyan Chen, Xiang Zhuang, Zhuo Chen, Jeff Z Pan, Juan Li, Zonggang Yuan, Huajun Chen Journal of Web Semantics [paper][arXiv][Project Page]
- De Novo Analysis of Bulk RNA-seq Data at Spatially Resolved Single-cell Resolution Jie Liao*, Jingyang Qian*, Yin Fang*, Zhuo Chen*, Xiang Zhuang*, Ningyu Zhang, Xin Shao, Yining Hu, Penghui Yang, Junyun Cheng, Yang Hu, Lingqi Yu, Haihong Yang, Jinlu Zhang, Xiaoyan Lu, Li Shao, Dan Wu, Yue Gao, Huajun Chen, Xiaohui Fan (* equal contribution) Nature Communications (Editors' Highlights, Top 25 in 2022) (IF=17.69) [paper][Project Page]
- Disentangled Ontology Embedding for Zero-shot Learning Yuxia Geng, Jiaoyan Chen, Wen Zhang, Yajing Xu, Zhuo Chen, Jeff Z. Pan, Yufeng Huang, Feiyu Xiong, Huajun Chen SIGKDD 2022 [paper][arXiv][Project Page]
- LaKo: Knowledge-driven Visual Question Answering via Late Knowledge-to-Text Injection Zhuo Chen, Yufeng Huang, Jiaoyan Chen, Yuxia Geng, Yin Fang, Jeff Pan, Ningyu Zhang, Wen Zhang IJCKG 2022 (Best Application Paper) [paper][arXiv][Project Page]
- Molecular Contrastive Learning with Chemical Element Knowledge Graph Yin Fang, Qiang Zhang, Haihong Yang, Xiang Zhuang, Shumin Deng, Wen Zhang, Ming Qin, Zhuo Chen, Xiaohui Fan, Huajun Chen AAAI 2022 [paper][Project Page]
- Construction of a Linked Data Set of COVID-19 Knowledge Graphs: Development and Applications Haofen Wang, Huifang Du, Guilin Qi, Huajun Chen, Wei Hu, Zhuo Chen JMIR 2022 [paper]
- OntoZSL: Ontology-enhanced Zero-shot Learning Yuxia Geng, Jiaoyan Chen, Zhuo Chen, Jeff Z Pan, Zhiquan Ye, Zonggang Yuan, Yantao Jia, Huajun Chen WWW 2021 [paper][arXiv][Project Page]
- Zero-shot Visual Question Answering Using Knowledge Graph Zhuo Chen, Jiaoyan Chen, Yuxia Geng, Jeff Z Pan, Zonggang Yuan, Huajun Chen ISWC 2021 [paper][arXiv][Project Page]
- Knowledge-aware Zero-shot Learning: Survey and Perspective Jiaoyan Chen, Yuxia Geng, Zhuo Chen, Ian Horrocks, Jeff Z Pan, Huajun Chen IJCAI 2021 (Survey) [arXiv]
Tutorials
- Knowledge-aware Zero-shot Learning (K-ZSL): Concepts, Methods and Resources Jiaoyan Chen, Yuxia Geng, Zhuo Chen, Wen Zhang, Jeff Z. Pan. IJCAI 2023 [Page]
Academic Services
- PC Member: NeurIPS / ACL ARR / AAAI / IJCAI / WWW / EMNLP / ACM MM / COLING / ISWC / ESWC
- Review Committee Member: TKDE / WWWJ / TNNLS / Knowledge-Based Systems / Big Data Research
- Volunteers: ISWC / IJCKG