Yichi Zhang

Orcid: 0009-0007-4046-1003

Affiliations:
  • Zhejiang University, Hangzhou, China


According to our database1, Yichi Zhang authored at least 43 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
When Modalities Remember: Continual Learning for Multimodal Knowledge Graphs.
CoRR, April, 2026

Embodied Science: Closing the Discovery Loop with Agentic Embodied AI.
CoRR, March, 2026

Every Little Helps: Building Knowledge Graph Foundation Model with Fine-grained Transferable Multi-modal Tokens.
CoRR, February, 2026

Towards Structure-Aware Model for Multi-Modal Knowledge Graph Completion.
IEEE Trans. Multim., 2026

Learning to Evolve: Bayesian-Guided Continual Knowledge Graph Embedding.
Proceedings of the ACM Web Conference 2026, 2026

UniHR: Hierarchical Representation Learning for Unified Knowledge Graph Link Prediction.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

rMMEA: Robust Multi-Modal Entity Alignment with Missing and Noise Visual Modality.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Structured and Abstractive Reasoning on Multi-modal Relational Knowledge Images.
CoRR, October, 2025

Collaboration of Fusion and Independence: Hypercomplex-driven Robust Multi-Modal Knowledge Graph Completion.
CoRR, September, 2025

Learning to Evolve: Bayesian-Guided Continual Knowledge Graph Embedding.
CoRR, August, 2025

Knowledge Graphs for Multi-modal Learning: Survey and Perspective.
Inf. Fusion, 2025

OntoTune: Ontology-Driven Self-training for Aligning Large Language Models.
Proceedings of the ACM on Web Conference 2025, 2025

Abstractive Visual Understanding of Multi-modal Structured Knowledge: A New Perspective for MLLM Evaluation.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Client-Server Co-design with Multi-modal Codebooks Makes Better and Faster Federate Knowledge Sharing.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Multi-modal Knowledge Graph Generation with Semantics-enriched Prompts.
Proceedings of the International Joint Conference on Neural Networks, 2025

Multiple Heads are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learning.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Noise-powered Multi-modal Knowledge Graph Representation Framework.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

K-ON: Stacking Knowledge on the Head Layer of Large Language Model.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs.
IEEE Data Eng. Bull., 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

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

MKGL: Mastery of a Three-Word Language.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 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

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

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

CausE: Towards Causal Knowledge Graph Embedding.
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

MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Modality-Aware Negative Sampling for Multi-modal Knowledge Graph Embedding.
Proceedings of the International Joint Conference on Neural Networks, 2023

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

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

Knowledge Graph Completion with Pre-trained Multimodal Transformer and Twins Negative Sampling.
CoRR, 2022

2021
Improving Conversational Recommender System by Pretraining Billion-scale Knowledge Graph.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021


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