Wen Zhang

Orcid: 0000-0001-8429-9326

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


According to our database1, Wen Zhang authored at least 69 papers between 2015 and 2024.

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

Timeline

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Bibliography

2024
Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey.
CoRR, 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
A Multi-View Filter for Relation-Free Knowledge Graph Completion.
Big Data Res., August, 2023

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

Large Language Models and Knowledge Graphs: Opportunities and Challenges.
TGDK, 2023

Differentiable learning of rules with constants in knowledge graph.
Knowl. Based Syst., 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

Reliable Academic Conference Question Answering: A Study Based on Large Language Model.
CoRR, 2023

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

CausE: Towards Causal Knowledge Graph Embedding.
CoRR, 2023

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

Structure Pretraining and Prompt Tuning for Knowledge Graph Transfer.
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

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

Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Relational Message Passing for Fully Inductive Knowledge Graph Completion.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

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

Analogical Inference Enhanced Knowledge Graph Embedding.
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

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

2022
Federated knowledge graph completion via embedding-contrastive learning.
Knowl. Based Syst., 2022

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

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

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

Ruleformer: Context-aware Differentiable Rule Mining over Knowledge Graph.
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

PKGM: A Pre-trained Knowledge Graph Model for E-commerce Application.
CoRR, 2022

Knowledge Graph Reasoning with Logics and Embeddings: Survey and Perspective.
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

Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Neural-Symbolic Entangled Framework for Complex Query Answering.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Ruleformer: Context-aware Rule Mining over Knowledge Graph.
Proceedings of the 29th International Conference on Computational Linguistics, 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

Standing on the Shoulders of Predecessors: Meta-Knowledge Transfer for Knowledge Graphs.
CoRR, 2021

3D-Transformer: Molecular Representation with Transformer in 3D Space.
CoRR, 2021

Knowledge Perceived Multi-modal Pretraining in E-commerce.
CoRR, 2021

Improving Conversational Recommendation System by Pretraining on Billions Scale of Knowledge Graph.
CoRR, 2021

Knowledge Perceived Multi-modal Pretraining in E-commerce.
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

FedE: Embedding Knowledge Graphs in Federated Setting.
Proceedings of the IJCKG'21: The 10th International Joint Conference on Knowledge Graphs, Virtual Event, Thailand, December 6, 2021

Billion-scale Pre-trained E-commerce Product Knowledge Graph Model.
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
DistilE: Distiling Knowledge Graph Embeddings for Faster and Cheaper Reasoning.
CoRR, 2020

Neural Entity Summarization with Joint Encoding and Weak Supervision.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Logic-guided Semantic Representation Learning for Zero-Shot Relation Classification.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning.
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

Interaction Embeddings for Prediction and Explanation in Knowledge Graphs.
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

Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Incorporating Domain and Range of Relations for Knowledge Graph Completion.
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

ProjR: Embedding Structure Diversity for Knowledge Graph Completion.
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
Knowledge Graph Embedding with Diversity of Structures.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

2015
Large-Scale Real-Time Semantic Processing Framework for Internet of Things.
Int. J. Distributed Sens. Networks, 2015


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