Kai-Xuan Chen

According to our database, Kai-Xuan Chen authored at least 28 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Advantage-Aware Policy Optimization for Offline Reinforcement Learning.

Yunpeng Qing, Shunyu Liu, Jingyuan Cong, Kaixuan Chen, Yihe Zhou, Mingli Song

CoRR, 2024

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

Kaixuan Chen, Wei Luo, Shunyu Liu, Yaoquan Wei, Yihe Zhou, Yunpeng Qing, Quan Zhang, Jie Song, Mingli Song

CoRR, 2024

2023

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

Shunyu Liu, Kai-Xuan Chen, Na Yu, Jie Song, Zunlei Feng, Mingli Song

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

Distribution Knowledge Embedding for Graph Pooling.

Kaixuan Chen, Jie Song, Shunyu Liu, Na Yu, Zunlei Feng, Gengshi Han, Mingli Song

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

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

Yaoquan Wei, Shunyu Liu, Jie Song, Tongya Zheng, Kaixuan Chen, Yong Wang, Mingli Song

CoRR, 2023

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

Yuwen Wang, Shunyu Liu, Kaixuan Chen, Tongtian Zhu, Ji Qiao, Mengjie Shi, Yuanyu Wan, Mingli Song

CoRR, 2023

Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation.

Yu Wang, Tongya Zheng, Shunyu Liu, Kaixuan Chen, Zunlei Feng, Yunzhi Hao, Mingli Song

CoRR, 2023

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

Kaixuan Chen, Shunyu Liu, Tongtian Zhu, Tongya Zheng, Haofei Zhang, Zunlei Feng, Jingwen Ye, Mingli Song

CoRR, 2023

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

Yihe Zhou, Shunyu Liu, Yunpeng Qing, Kaixuan Chen, Tongya Zheng, Yanhao Huang, Jie Song, Mingli Song

CoRR, 2023

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

Kaixuan Chen, Shunyu Liu, Tongtian Zhu, Ji Qiao, Yun Su, Yingjie Tian, Tongya Zheng, Haofei Zhang, Zunlei Feng, Jingwen Ye, Mingli Song

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

Decentralized SGD and Average-direction SAM are Asymptotically Equivalent.

Tongtian Zhu, Fengxiang He, Kaixuan Chen, Mingli Song, Dacheng Tao

Proceedings of the International Conference on Machine Learning, 2023

Schema Inference for Interpretable Image Classification.

Haofei Zhang, Mengqi Xue, Xiaokang Liu, Kaixuan Chen, Jie Song, Mingli Song

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Wenda Li, Kaixuan Chen, Shunyu Liu, Wenjie Huang, Haofei Zhang, Mingli Song, Yingjie Tian, Yun Su

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

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

Yuwen Wang, Shunyu Liu, Kaixuan Chen, Tongtian Zhu, Ji Qiao, Mengjie Shi, Yuanyu Wan, Mingli Song

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.

Shunyu Liu, Yihe Zhou, Jie Song, Tongya Zheng, Kaixuan Chen, Tongtian Zhu, Zunlei Feng, Mingli Song

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.

Rui Wang, Xiaojun Wu, Kai-Xuan Chen, Josef Kittler

IEEE Trans. Big Data, 2022

Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning.

Shunyu Liu, Jie Song, Yihe Zhou, Na Yu, Kaixuan Chen, Zunlei Feng, Mingli Song

CoRR, 2022

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

Shunyu Liu, Xinchao Wang, Na Yu, Jie Song, Kaixuan Chen, Zunlei Feng, Mingli Song

CoRR, 2022

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

Kaixuan Chen, Shunyu Liu, Na Yu, Rong Yan, Quan Zhang, Jie Song, Zunlei Feng, Mingli Song

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Distribution Knowledge Embedding for Graph Pooling.

Kaixuan Chen, Jie Song, Shunyu Liu, Na Yu, Zunlei Feng, Mingli Song

CoRR, 2021

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

Gengshi Han, Shunyu Liu, Kaixuan Chen, Na Yu, Zunlei Feng, Mingli Song

ICO, 2021

2020

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

Kai-Xuan Chen, Jie-Yi Ren, Xiao-Jun Wu, Josef Kittler

Pattern Recognit., 2020

2019

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

Kai-Xuan Chen, Xiao-Jun Wu, Jie-Yi Ren, Rui Wang, Josef Kittler

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.

Kai-Xuan Chen, Xiao-Jun Wu

Comput. Vis. Media, 2018

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

Rui Wang, Xiao-Jun Wu, Kai-Xuan Chen, Josef Kittler

CoRR, 2018

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

Kai-Xuan Chen, Xiao-Jun Wu

CoRR, 2018

Multiple Manifolds Metric Learning with Application to Image Set Classification.

Rui Wang, Xiao-Jun Wu, Kai-Xuan Chen, Josef Kittler

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.

Kai-Xuan Chen, Xiao-Jun Wu, Rui Wang, Josef Kittler

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