Jinyu Cai

Orcid: 0009-0000-9715-8143

According to our database1, Jinyu Cai authored at least 29 papers between 2018 and 2024.

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

Timeline

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Links

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Bibliography

2024
Deep graph-level clustering using pseudo-label-guided mutual information maximization network.
Neural Comput. Appl., June, 2024

Wasserstein Embedding Learning for Deep Clustering: A Generative Approach.
IEEE Trans. Multim., 2024

Automatic Adaptation Rule Optimization via Large Language Models.
CoRR, 2024

FGAD: Self-boosted Knowledge Distillation for An Effective Federated Graph Anomaly Detection Framework.
CoRR, 2024

MULTI: Multimodal Understanding Leaderboard with Text and Images.
CoRR, 2024

Kernel Readout for Graph Neural Networks.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

LG-FGAD: An Effective Federated Graph Anomaly Detection Framework.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Dual Contrastive Graph-Level Clustering with Multiple Cluster Perspectives Alignment.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Deep Orthogonal Hypersphere Compression for Anomaly Detection.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Exploring the Improvement of Evolutionary Computation via Large Language Models.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Exploring Optimal eHMI Display Location for Various Vehicle Types: A VR User Study.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

Language Evolution for Evading Social Media Regulation via LLM-Based Multi-Agent Simulation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023
Label correction using contrastive prototypical classifier for noisy label learning.
Inf. Sci., November, 2023

Drilling rod target segmentation recognition based on an improved GAN.
J. Intell. Fuzzy Syst., October, 2023

Self-Discriminative Modeling for Anomalous Graph Detection.
CoRR, 2023

Deep Graph-Level Orthogonal Hypersphere Compression for Anomaly Detection.
CoRR, 2023

Value Iteration Networks With Gated Summarization Module.
IEEE Access, 2023

2022
Unsupervised deep clustering via contractive feature representation and focal loss.
Pattern Recognit., 2022

Deep image clustering by fusing contrastive learning and neighbor relation mining.
Knowl. Based Syst., 2022

Unsupervised Deep Discriminant Analysis Based Clustering.
CoRR, 2022

Perturbation Learning Based Anomaly Detection.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Value Iteration Residual Network with Self-attention.
Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022

Efficient Deep Embedded Subspace Clustering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Unsupervised embedded feature learning for deep clustering with stacked sparse auto-encoder.
Expert Syst. Appl., 2021

2020
Unsupervised discriminative feature representation via adversarial auto-encoder.
Appl. Intell., 2020

2019
An Overview of Unsupervised Deep Feature Representation for Text Categorization.
IEEE Trans. Comput. Soc. Syst., 2019

Stacked Sparse Auto-Encoder for Deep Clustering.
Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

Unsupervised deep feature representation using adversarial auto-encoder.
Proceedings of the IEEE International Conference on Industrial Cyber Physical Systems, 2019

2018
Early warning classification of cluster supply chain emergency based on cloud model and datastream clustering algorithm.
J. Intell. Fuzzy Syst., 2018


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