Zhuo Chen

Orcid: 0000-0001-9991-6892

Affiliations:
  • Zhejiang University, College of Computer Science and Technology, Hangzhou, China


According to our database1, Zhuo Chen authored at least 52 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Distributed representations of entities in open-world knowledge graphs.
Knowl. Based Syst., 2024

MKGL: Mastery of a Three-Word Language.
CoRR, 2024

Mixture of Modality Knowledge Experts for Robust Multi-modal Knowledge Graph Completion.
CoRR, 2024

Multi-domain Knowledge Graph Collaborative Pre-training and Prompt Tuning for Diverse Downstream Tasks.
CoRR, 2024

MyGO: Discrete Modality Information as Fine-Grained Tokens for Multi-modal Knowledge Graph Completion.
CoRR, 2024

Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs.
CoRR, 2024

The Power of Noise: Toward a Unified Multi-modal Knowledge Graph Representation Framework.
CoRR, 2024

ASGEA: Exploiting Logic Rules from Align-Subgraphs for Entity Alignment.
CoRR, 2024

Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey.
CoRR, 2024

NativE: Multi-modal Knowledge Graph Completion in the Wild.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

DRAK: Unlocking Molecular Insights with Domain-Specific Retrieval-Augmented Knowledge in LLMs.
Proceedings of the Natural Language Processing and Chinese Computing, 2024

CREST: Cross-modal Resonance through Evidential Deep Learning for Enhanced Zero-Shot Learning.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Making Large Language Models Perform Better in Knowledge Graph Completion.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Knowledge-Informed Molecular Learning: A Survey on Paradigm Transfer.
Proceedings of the Knowledge Science, Engineering and Management, 2024

Revisit and Outstrip Entity Alignment: A Perspective of Generative Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Domain-Agnostic Molecular Generation with Chemical Feedback.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

DET: A Dual-Encoding Transformer for Relational Graph Embedding.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Structure-CLIP: Towards Scene Graph Knowledge to Enhance Multi-Modal Structured Representations.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Zero-Shot and Few-Shot Learning With Knowledge Graphs: A Comprehensive Survey.
Proc. IEEE, June, 2023

Knowledge graph-enhanced molecular contrastive learning with functional prompt.
Nat. Mac. Intell., May, 2023

Benchmarking knowledge-driven zero-shot learning.
J. Web Semant., 2023

Prompting Disentangled Embeddings for Knowledge Graph Completion with Pre-trained Language Model.
CoRR, 2023

Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering.
CoRR, 2023

Making Large Language Models Perform Better in Knowledge Graph Completion.
CoRR, 2023

Universal Multi-modal Entity Alignment via Iteratively Fusing Modality Similarity Paths.
CoRR, 2023

Revisit and Outstrip Entity Alignment: A Perspective of Generative Models.
CoRR, 2023

Structure-CLIP: Enhance Multi-modal Language Representations with Structure Knowledge.
CoRR, 2023

Domain-Agnostic Molecular Generation with Self-feedback.
CoRR, 2023

Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment.
Proceedings of the Semantic Web - ISWC 2023, 2023

MACO: A Modality Adversarial and Contrastive Framework for Modality-Missing Multi-modal Knowledge Graph Completion.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

Newton-Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems.
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.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Tele-Knowledge Pre-training for Fault Analysis.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Target-Oriented Sentiment Classification with Sequential Cross-Modal Semantic Graph.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

DUET: Cross-Modal Semantic Grounding for Contrastive Zero-Shot Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid.
CoRR, 2022

Tele-Knowledge Pre-training for Fault Analysis.
CoRR, 2022

Aspect-based Sentiment Classification with Sequential Cross-modal Semantic Graph.
CoRR, 2022

DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning.
CoRR, 2022

Knowledge-informed Molecular Learning: A Survey on Paradigm Transfer.
CoRR, 2022

Disentangled Ontology Embedding for Zero-shot Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

LaKo: Knowledge-driven Visual Question Answering via Late Knowledge-to-Text Injection.
Proceedings of the 11th International Joint Conference on Knowledge Graphs, 2022

Molecular Contrastive Learning with Chemical Element Knowledge Graph.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Low-resource Learning with Knowledge Graphs: A Comprehensive Survey.
CoRR, 2021

K-ZSL: Resources for Knowledge-driven Zero-shot Learning.
CoRR, 2021

OntoZSL: Ontology-enhanced Zero-shot Learning.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Zero-Shot Visual Question Answering Using Knowledge Graph.
Proceedings of the Semantic Web - ISWC 2021 - 20th International Semantic Web Conference, 2021

Knowledge-aware Zero-Shot Learning: Survey and Perspective.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
Generative Adversarial Zero-shot Learning via Knowledge Graphs.
CoRR, 2020


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