Kai-Xuan Chen

Orcid: 0000-0002-2492-5230

Affiliations:

Zhejiang University, College of Computer Science and Technology, Hangzhou, China
Jiangnan University, School of Internet of Things Engineering, Wuxi, China (former)

According to our database¹, Kai-Xuan Chen authored at least 32 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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Other

Bibliography

2024

Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., November, 2024

Transmission Interface Power Flow Adjustment: A Deep Reinforcement Learning Approach based on Multi-task Attribution Map.

[BibT_eX]

[DOI]

CoRR, 2024

Advantage-Aware Policy Optimization for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Powerformer: A Section-adaptive Transformer for Power Flow Adjustment.

[BibT_eX]

[DOI]

CoRR, 2024

Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Multi-Channel Graph Fusion Representation for Tabular Data Imputation.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

Learning a Mini-Batch Graph Transformer via Two-Stage Interaction Augmentation.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., December, 2023

Distribution Knowledge Embedding for Graph Pooling.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., August, 2023

Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Ticket.

[BibT_eX]

[DOI]

CoRR, 2023

Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization.

[BibT_eX]

[DOI]

CoRR, 2023

Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?

[BibT_eX]

[DOI]

CoRR, 2023

Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Decentralized SGD and Average-direction SAM are Asymptotically Equivalent.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Schema Inference for Interpretable Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Message-passing Selection: Towards Interpretable GNNs for Graph Classification.

[BibT_eX]

[DOI]

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Tickets.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition.

[BibT_eX]

[DOI]

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

2022

Multiple Riemannian Manifold-Valued Descriptors Based Image Set Classification With Multi-Kernel Metric Learning.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2022

Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework.

[BibT_eX]

[DOI]

CoRR, 2022

Distribution-Aware Graph Representation Learning for Transient Stability Assessment of Power System.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Distribution Knowledge Embedding for Graph Pooling.

[BibT_eX]

[DOI]

CoRR, 2021

Imbalanced Sample Generation and Evaluation for Power System Transient Stability Using CTGAN.

[BibT_eX]

[DOI]

ICO, 2021

2020

Covariance descriptors on a Gaussian manifold and their application to image set classification.

[BibT_eX]

[DOI]

Pattern Recognit., 2020

2019

More About Covariance Descriptors for Image Set Coding: Log-Euclidean Framework Based Kernel Matrix Representation.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Component SPD matrices: A low-dimensional discriminative data descriptor for image set classification.

[BibT_eX]

[DOI]

Kai-Xuan Chen

Xiao-Jun Wu

Comput. Vis. Media, 2018

Grassmannian Discriminant Maps (GDM) for Manifold Dimensionality Reduction with Application to Image Set Classification.

[BibT_eX]

[DOI]

CoRR, 2018

Component SPD Matrices: A lower-dimensional discriminative data descriptor for image set classification.

[BibT_eX]

[DOI]

Kai-Xuan Chen

Xiao-Jun Wu

CoRR, 2018

Multiple Manifolds Metric Learning with Application to Image Set Classification.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Riemannian kernel based Nyström method for approximate infinite-dimensional covariance descriptors with application to image set classification.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Kai-Xuan Chen

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