Zhuo Chen (陈卓)Ph.D. in Computer Science, Zhejiang UniversityMulti-modal Learning · Large Language Models · AI for MedicinePh.D. , 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 received my Ph.D. in Computer Science from Zhejiang University (2020–2025), advised by Prof. Huajun Chen at the ZJUKG-Lab. My research lies broadly in multi-modal learning and large language models, with structured knowledge as a recurring thread (see our survey Knowledge Graphs for Multi-modal Learning: Survey and Perspective, Information Fusion 2025 [arXiv][repo]). Going forward, I am increasingly devoted to AI for Medicine (AI4Medical).
- Multi-modal Learning & MLLMs: modality tokenization, fusion and alignment under noisy / missing / imbalanced modalities; multi-modal representation learning and reasoning; evaluation of multi-modal foundation models.
- Large Language Models: post-training and alignment (SFT, preference optimization, RLHF / RLVR, agentic RL), LLM agents, and knowledge-augmented, trustworthy generation.
- AI for Medicine (current focus): medical large models and clinical / biomedical agents; domain post-training and RL for verifiable medical reasoning; auto-research agents driven by RL (hypothesis proposal, experiment planning, result verification); and recursive self-improvement (RSI) / self-evolving systems that keep improving from their own experience and feedback.
A central goal across these directions is to leverage knowledge and verifiable signals to mitigate the bias and hallucination induced 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 !
Publications
★ representative work | * equal contribution
2026
- 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
- Structured and Abstractive Reasoning on Multi-modal Relational Knowledge Images Yichi Zhang, Zhuo Chen, Lingbing Guo, Wen Zhang, Huajun Chen ACL 2026 Findings
- MORTIS: Towards Multi-modal and Multi-scale Federated Knowledge Graph Completion Yichi Zhang, Linyu Li, Zhi Jin, Zhuo Chen, Lingbing Guo, Wen Zhang, Huajun Chen IEEE Transactions on Knowledge and Data Engineering (TKDE) 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 AAAI 2026
- Multi-modal Fact Knowledge Generation for Imbalanced Cross-source Entity Alignment Qian Li, Cheng Ji, Zhaoji Liang, Yuzheng Zhang, Zhuo Chen, Siyuan Liang AAAI 2026
- UniHR: Hierarchical Representation Learning for Unified Knowledge Graph Link Prediction Zhiqiang Liu, Yin Hua, Mingyang Chen, Yichi Zhang, Zhuo Chen, Lei Liang, Wen Zhang AAAI 2026 [Project Page]
- A Survey of LLM Alignment: Instruction Understanding, Intention Reasoning, and Reliable Dialogue Generation Zongyu Chang, Feihong Lu, Ziqin Zhu, Qian Li, Cheng Ji, Tao Yang, Zhuo Chen, Hao Peng, Yang Liu, Ruifeng Xu, Yangqiu Song, Jianxin Li, Shangguang Wang Neurocomputing 2026 [arXiv]
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 Information Fusion 2025, 121: 103124 (journal version of “Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey”, arXiv:2402.05391) [Paper][arXiv][Project Page]
- 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 [arXiv][Project Page]
- 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
- Cross-composition Feature Disentanglement for Compositional Zero-shot Learning Yuxia Geng, Runkai Zhu, Jiaoyan Chen, Jintai Chen, Zhuo Chen, Xiang Chen, Can Xu, Yuxiang Wang, Xiaoliang Xu ACL 2025 Findings
- Client-Server Co-design with Multi-modal Codebooks Makes Better and Faster Federated Knowledge Sharing Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Lei Liang, Wen Zhang, Huajun Chen ACM MM 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 ACM MM 2025
- Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation (MyGO) Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen AAAI 2025 [arXiv][Project Page]
- 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 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 COLING 2025 [arXiv][Project Page]
- Multi-modal Knowledge Graph Generation with Semantics-enriched Prompts Yajing Xu, Zhiqiang Liu, Jiaoyan Chen, Mingchen Tu, Zhuo Chen, Jeff Z. Pan, Yichi Zhang, Yushan Zhu, Wen Zhang, Huajun Chen IJCNN 2025
- 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 Expert Systems with Applications 2025 [arXiv]
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 NeurIPS 2024 (Spotlight) [arXiv]
- 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 (Oral) [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]
- 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 [Project Page]
- LLM-based Multi-Level Knowledge Generation for Few-shot Knowledge Graph Completion Qian Li, Zhuo Chen, Cheng Ji, Shiqi Jiang, Jianxin Li IJCAI 2024
- Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering Yichi Zhang*, Zhuo Chen*, Yin Fang, Yanxi Lu, Fangming Li, Wen Zhang, Huajun Chen ACL 2024 Findings [arXiv][Project Page]
- Structure-CLIP: Towards Scene Graph Knowledge to Enhance Multi-Modal Structured Representations Yufeng Huang, Jiji Tang, Zhuo Chen, Rongsheng Zhang, Xinfeng Zhang, Weijie Chen, Zeng Zhao, Zhipeng Hu, Wen Zhang, Huajun Chen AAAI 2024 [arXiv]
- 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, 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]
- Simulating Multiple Variability in Spatially Resolved Transcriptomics with scCube Jingyang Qian, Hongxin Bao, Xin Shao, Yin Fang, Jie Liao, Zhuo Chen, Chengyu Li, Wenbo Guo, Yining Hu, Anyao Li, ..., Xiaohui Fan Nature Communications 2024 [Paper][Project Page]
- DET: A Dual-Encoding Transformer for Relational Graph Embedding Lingbing Guo, Zhuo Chen, Jiaoyan Chen, Qiang Zhang, Huajun Chen COLING 2024 [Paper]
- 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]
- 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]
- DRAK: Unlocking Molecular Insights with Domain-Specific Retrieval-Augmented Knowledge in LLMs Jinzhe Liu, Xiangsheng Huang, Zhuo Chen, Yin Fang NLPCC 2024 [Paper]
- Knowledge-informed Molecular Learning: A Survey on Paradigm Transfer Yin Fang, Zhuo Chen, Xiaohui Fan, Ningyu Zhang KSEM 2024 [arXiv]
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 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]
- ★ 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 ISWC 2023 (Best Paper Candidate) [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]
- 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]
- MACO: A Modality Adversarial and Contrastive Framework for Modality-missing Multi-modal Knowledge Graph Completion Yichi Zhang, Zhuo Chen, Wen Zhang NLPCC 2023 (Oral) [arXiv][Project Page]
- Target-Oriented Sentiment Classification with Sequential Cross-Modal Semantic Graph Yufeng Huang, Zhuo Chen, Jiaoyan Chen, Jeff Z. Pan, Zhen Yao, Wen Zhang ICANN 2023 [arXiv][Project Page]
- 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 2023 [Paper][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 2023 [Paper][arXiv]
- 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 2023 [Paper][arXiv][Project Page]
2022
- 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 Nature Communications 2022 (Editors' Highlights, Top 25 in 2022) [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]
- 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]
- LaKo: Knowledge-driven Visual Question Answering via Late Knowledge-to-Text Injection Zhuo Chen, Yufeng Huang, Jiaoyan Chen, Yuxia Geng, Yin Fang, Jeff Z. Pan, Ningyu Zhang, Wen Zhang IJCKG 2022 (Best Application Paper) [Paper][arXiv][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 Medical Informatics 2022 [Paper]
2021
- 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]
- 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]
- Knowledge-aware Zero-shot Learning: Survey and Perspective Jiaoyan Chen, Yuxia Geng, Zhuo Chen, Ian Horrocks, Jeff Z. Pan, Huajun Chen IJCAI 2021 (Survey Track) [arXiv]
Preprints
- 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]
- Symbolic and Abstractive Reasoning with Complex Visual Queries Yichi Zhang, Jingdian Lu, Zhuo Chen, Lingbing Guo, Jun Xu, Wen Zhang, Huajun Chen [arXiv]
- 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]
- 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]
- 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]
Patents
- Molecular Graph Representation Learning Method Based on Contrastive Learning Huajun Chen, Yin Fang, Haihong Yang, Xiang Zhuang, Zhuo Chen US Patent App. 17/792,167
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 / ICML / ICLR / ACL ARR / AAAI / IJCAI / WWW / EMNLP / ACM MM / COLING / ISWC / ESWC
- Review Committee Member: TKDE / TNNLS / WWWJ / Knowledge-Based Systems / Big Data Research
- Volunteers: ISWC / IJCKG