Kai Chen

Orcid: 0000-0001-5663-211X

Affiliations:
  • National University of Defense Technology, National Laboratory for Parallel and Distributed Processing, Changsha, China


According to our database1, Kai Chen authored at least 63 papers between 2013 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
Relation-Centric knowledge graph generation for recommendation based on conditional diffusion model.
Neural Networks, 2026

ConDNS: A novel conditional diffusion-based negative sampling method for knowledge graph embedding.
Neurocomputing, 2026

Enhancing Logical Expressiveness in Graph Neural Networks via Path-Neighbor Aggregation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Observe, align, and enhance: a hierarchical retrieval-augmented vision-language model for generating radiology reports.
Health Inf. Sci. Syst., December, 2025

Geometry fusion representation for knowledge graph completion using multi-view information bottleneck.
World Wide Web (WWW), May, 2025

A vision-language model with multi-granular knowledge fusion in medical imaging.
World Wide Web (WWW), January, 2025

Privacy-Preserving Generative Modeling With Sliced Wasserstein Distance.
IEEE Trans. Inf. Forensics Secur., 2025

RSRule: Relation-level semantic-driven rule learning for explainable extrapolation on temporal knowledge graphs.
Inf. Fusion, 2025

Temporal knowledge graph extrapolation with subgraph information bottleneck.
Expert Syst. Appl., 2025

Extrapolation Reasoning on Temporal Knowledge Graphs via Temporal Dependencies Learning.
CAAI Trans. Intell. Technol., 2025

MusKGC: A Flexible Multi-source Knowledge Enhancement Framework for Open-World Knowledge Graph Completion.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Temporal Adaptive Neural Message Passing for Opinion Dynamics.
Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

Social Recommendation via Graph-Level Counterfactual Augmentation.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

LLM-DR: A Novel LLM-Aided Diffusion Model for Rule Generation on Temporal Knowledge Graphs.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
CPLNS: Cooperative Parallel Large Neighborhood Search for Large-Scale Multi-Agent Path Finding.
IEEE Trans. Parallel Distributed Syst., November, 2024

Generalizable inductive relation prediction with causal subgraph.
World Wide Web (WWW), May, 2024

Hierarchical sort-based parallel algorithm for dynamic interest matching.
J. Parallel Distributed Comput., 2024

Inductive relation prediction with information bottleneck.
Neurocomputing, 2024

Temporal Knowledge Graph Extrapolation via Causal Subhistory Identification.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

PVEIN: A Pretrained Vertex Embedding Infer Network for Open-Domain Question Answer Scoring.
Proceedings of the Neural Information Processing - 31st International Conference, 2024

Feature Interaction for Temporal Knowledge Graph Extrapolation.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Temporal Relational Context Learning for Extrapolation Reasoning on Temporal Knowledge Graphs.
Proceedings of the IEEE International Conference on Acoustics, 2024

Learning to Distinguish Entities Overlapping for Open Relation Extraction<sup>*</sup>.
Proceedings of the 9th IEEE International Conference on Data Science in Cyberspace, 2024

A Unified Temporal Knowledge Graph Reasoning Model Towards Interpolation and Extrapolation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Extrapolation over temporal knowledge graph via hyperbolic embedding.
CAAI Trans. Intell. Technol., June, 2023

ContextAD: Context-Aware Acronym Disambiguation with Siamese BERT Network.
Int. J. Intell. Syst., 2023

A time-sensitive learning-to-rank approach for cloud simulation resource prediction.
Complex Intell. Syst., 2023

A Unified Information Diffusion Prediction Model Based on Multi-task Learning.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022
A simulation task partition method based on cloud computing resource prediction using ensemble learning.
Simul. Model. Pract. Theory, 2022

A hierarchical reasoning graph neural network for the automatic scoring of answer transcriptions in video job interviews.
Int. J. Mach. Learn. Cybern., 2022

Fast and reliable probabilistic face embeddings based on constrained data uncertainty estimation.
Image Vis. Comput., 2022

Fixed-wing UAV Kinematics Model using Direction Restriction for Formation Cooperative Flight.
Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, 2022

End-to-End ASR-Enhanced Neural Network for Alzheimer's Disease Diagnosis.
Proceedings of the IEEE International Conference on Acoustics, 2022

RotateQVS: Representing Temporal Information as Rotations in Quaternion Vector Space for Temporal Knowledge Graph Completion.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
LightQNet: Lightweight Deep Face Quality Assessment for Risk-Controlled Face Recognition.
IEEE Signal Process. Lett., 2021

Neural data-to-text generation with dynamic content planning.
Knowl. Based Syst., 2021

Target relational attention-oriented knowledge graph reasoning.
Neurocomputing, 2021

A Novel Encoder-Decoder Knowledge Graph Completion Model for Robot Brain.
Frontiers Neurorobotics, 2021

Research on Dynamic Evolution Model and Method of Communication Network Based on Real War Game.
Entropy, 2021

Reliable Probabilistic Face Embeddings in the Wild.
CoRR, 2021

Popularity Prediction of Online Contents via Cascade Graph and Temporal Information.
Axioms, 2021

Simulation Runtime Prediction Approach based on Stacking Ensemble Learning.
Proceedings of the 11th International Conference on Simulation and Modeling Methodologies, 2021

Learning Knowledge Graph Embedding in Semantic Space: A Novel Bi-linear Semantic Matching Method.
Proceedings of the International Joint Conference on Neural Networks, 2021

Focus on Inherent Attributes for Temporal Knowledge Graph Completion.
Proceedings of the International Joint Conference on Neural Networks, 2021

A Universal Construction to implement Concurrent Data Structure for NUMA-muticore.
Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021

HCAG: A Hierarchical Context-Aware Graph Attention Model for Depression Detection.
Proceedings of the IEEE International Conference on Acoustics, 2021

A Large-Scale Chinese Long-Text Extractive Summarization Corpus.
Proceedings of the IEEE International Conference on Acoustics, 2021

Contextualise Entities and Relations: An Interaction Method for Knowledge Graph Completion.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

A Novel Deep Neural Network Model for Credit Risk Prediction of Chinese Farmers.
Proceedings of the Sixth IEEE International Conference on Data Science in Cyberspace, 2021

FTSD: a fissionable lock for multicores.
Proceedings of the APSys '21: 12th ACM SIGOPS Asia-Pacific Workshop on Systems, 2021

2020
Neural Data-to-Text Generation with Dynamic Content Planning.
CoRR, 2020

SED-MDD: Towards Sentence Dependent End-To-End Mispronunciation Detection and Diagnosis.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
A Neural Abstractive Summarization Model Guided with Topic Sentences.
Aust. J. Intell. Inf. Process. Syst., 2019

2018
A Community Detection Approach to Cleaning Extremely Large Face Database.
Comput. Intell. Neurosci., 2018

Flexible ranking extreme learning machine based on matrix-centering transformation.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Robust regularized extreme learning machine for regression using iteratively reweighted least squares.
Neurocomputing, 2017

Ranking Support Vector Machine with Kernel Approximation.
Comput. Intell. Neurosci., 2017

2016
HITSZ_CDR: an end-to-end chemical and disease relation extraction system for BioCreative V.
Database J. Biol. Databases Curation, 2016

Computational representation and annotation system for Cognitive Construction Grammar.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

Dependency-based convolutional neural network for drug-drug interaction extraction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2014
Design and Implement of High Performance Crypto Coprocessor.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2014

A Novel Design of Flexible Crypto Coprocessor and Its Application.
Proceedings of the Advanced Computer Architecture - 10th Annual Conference, 2014

2013
Design and Implementation of Novel Flexible Crypto Coprocessor and Its Application in Security Protocol.
Proceedings of the Computer Engineering and Technology - 17th CCF Conference, 2013


  Loading...