We stand with Ukraine

We stand with Ukraine

Mingyang Chen

Orcid: 0000-0001-6080-3559

Affiliations:

Zhejiang University, College of Computer Science and Technology, China

According to our database¹, Mingyang Chen authored at least 32 papers between 2019 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

Online presence:

on orcid.org

On csauthors.net:

Bibliography

2025

Pushing LLMs to Their Logical Reasoning Bound: The Role of Data Reasoning Intensity.

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CoRR, September, 2025

Baichuan-M2: Scaling Medical Capability with Large Verifier System.

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CoRR, September, 2025

ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning.

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CoRR, March, 2025

Baichuan-Omni-1.5 Technical Report.

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Jianqiang Zhang

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CoRR, January, 2025

Knowledge Graph Pooling and Unpooling for Concept Abstraction.

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Proceedings of the 31st International Conference on Computational Linguistics, 2025

Croppable Knowledge Graph Embedding.

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Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Beyond Completion: A Foundation Model for General Knowledge Graph Reasoning.

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Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

UniHR: Hierarchical Representation Learning for Unified Knowledge Graph Link Prediction.

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CoRR, 2024

SF-GNN: Self Filter for Message Lossless Propagation in Deep Graph Neural Network.

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CoRR, 2024

Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs.

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Structure Pretraining and Prompt Tuning for Knowledge Graph Transfer.

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Proceedings of the ACM Web Conference 2023, 2023

NeuralKG-ind: A Python Library for Inductive Knowledge Graph Representation Learning.

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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.

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Proceedings of the Semantic Web - ISWC 2023, 2023

Negative Sampling with Adaptive Denoising Mixup for Knowledge Graph Embedding.

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Proceedings of the Semantic Web - ISWC 2023, 2023

Modality-Aware Negative Sampling for Multi-modal Knowledge Graph Embedding.

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Proceedings of the International Joint Conference on Neural Networks, 2023

Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs.

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Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Relational Message Passing for Fully Inductive Knowledge Graph Completion.

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Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Tele-Knowledge Pre-training for Fault Analysis.

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Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Analogical Inference Enhanced Knowledge Graph Embedding.

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Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding.

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Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Federated knowledge graph completion via embedding-contrastive learning.

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Knowl. Based Syst., 2022

Tele-Knowledge Pre-training for Fault Analysis.

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CoRR, 2022

DualDE: Dually Distilling Knowledge Graph Embedding for Faster and Cheaper Reasoning.

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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.

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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.

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Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting.

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Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Understanding and Improving Knowledge Graph Embedding for Entity Alignment.

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Proceedings of the International Conference on Machine Learning, 2022

2021

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

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CoRR, 2021

Principled Representation Learning for Entity Alignment.

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CoRR, 2021

Knowledge Graph Embedding in E-commerce Applications: Attentive Reasoning, Explanations, and Transferable Rules.

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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.

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Proceedings of the IJCKG'21: The 10th International Joint Conference on Knowledge Graphs, Virtual Event, Thailand, December 6, 2021

2019

Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs.

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Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

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