Wen Zhang
Orcid: 0000-0001-8429-9326Affiliations:
- Zhejiang University, College of Computer Science and Technology, Hangzhou, China
According to our database1,
Wen Zhang
authored at least 96 papers
between 2015 and 2025.
Collaborative distances:
Collaborative distances:
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on orcid.org
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on dl.acm.org
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Bibliography
2025
Prompting disentangled embeddings for knowledge graph completion with pre-trained language model.
Expert Syst. Appl., 2025
Proceedings of the 31st International Conference on Computational Linguistics, 2025
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
IEEE Trans. Knowl. Data Eng., November, 2024
Knowl. Based Syst., 2024
Neurocomputing, 2024
UniHR: Hierarchical Representation Learning for Unified Knowledge Graph Link Prediction.
CoRR, 2024
CoRR, 2024
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
The Power of Noise: Toward a Unified Multi-modal Knowledge Graph Representation Framework.
CoRR, 2024
Know Your Needs Better: Towards Structured Understanding of Marketer Demands with Analogical Reasoning Augmented LLMs.
CoRR, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Know Your Needs Better: Towards Structured Understanding of Marketer Demands with Analogical Reasoning Augmented LLMs.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
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
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
Big Data Res., August, 2023
Proc. IEEE, June, 2023
Knowl. Based Syst., 2023
CoRR, 2023
Reliable Academic Conference Question Answering: A Study Based on Large Language Model.
CoRR, 2023
CoRR, 2023
Structure-CLIP: Enhance Multi-modal Language Representations with Structure Knowledge.
CoRR, 2023
Proceedings of the ACM Web Conference 2023, 2023
NeuralKG-ind: A Python Library for Inductive Knowledge Graph Representation Learning.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
A Comprehensive Study on Knowledge Graph Embedding over Relational Patterns Based on Rule Learning.
Proceedings of the Semantic Web - ISWC 2023, 2023
Proceedings of the Semantic Web - ISWC 2023, 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
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Proceedings of the Artificial Neural Networks and Machine Learning, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Knowl. Based Syst., 2022
CoRR, 2022
Knowledge Graph Completion with Pre-trained Multimodal Transformer and Twins Negative Sampling.
CoRR, 2022
CoRR, 2022
CoRR, 2022
CoRR, 2022
DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population.
CoRR, 2022
DualDE: Dually Distilling Knowledge Graph Embedding for Faster and Cheaper Reasoning.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge Graphs.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
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
Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Standing on the Shoulders of Predecessors: Meta-Knowledge Transfer for Knowledge Graphs.
CoRR, 2021
Improving Conversational Recommendation System by Pretraining on Billions Scale of Knowledge Graph.
CoRR, 2021
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Knowledge Graph Embedding in E-commerce Applications: Attentive Reasoning, Explanations, and Transferable Rules.
Proceedings of the IJCKG'21: The 10th International Joint Conference on Knowledge Graphs, Virtual Event, Thailand, December 6, 2021
Improving Knowledge Graph Representation Learning by Structure Contextual Pre-training.
Proceedings of the IJCKG'21: The 10th International Joint Conference on Knowledge Graphs, Virtual Event, Thailand, December 6, 2021
Proceedings of the IJCKG'21: The 10th International Joint Conference on Knowledge Graphs, Virtual Event, Thailand, December 6, 2021
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
Improving Conversational Recommender System by Pretraining Billion-scale Knowledge Graph.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
2020
CoRR, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 28th International Conference on Computational Linguistics, 2020
2019
Proceedings of the World Wide Web Conference, 2019
Knowledge-Driven Stock Trend Prediction and Explanation via Temporal Convolutional Network.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019
XTransE: Explainable Knowledge Graph Embedding for Link Prediction with Lifestyles in e-Commerce.
Proceedings of the Semantic Technology - 9th Joint International Conference, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding, 2019
2018
Aligning Knowledge Base and Document Embedding Models Using Regularized Multi-Task Learning.
Proceedings of the Semantic Web - ISWC 2018, 2018
Proceedings of the Natural Language Processing and Chinese Computing, 2018
Label-Free Distant Supervision for Relation Extraction via Knowledge Graph Embedding.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
2017
Proceedings of the 26th International Conference on World Wide Web Companion, 2017
2015
Int. J. Distributed Sens. Networks, 2015