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ORCIDKai-Xuan Chen 0001
Person information
- affiliation: Zhejiang University, College of Computer Science and Technology, Hangzhou, China
- affiliation (former): Jiangnan University, School of Internet of Things Engineering, Wuxi, China
Other persons with the same name
- Kaixuan Chen 0001
![[0000-0003-3904-0395]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-3904-0395")
— Aalborg University, Department of Computer Science, Denmark (and 1 more) - Kaixuan Chen 0002 — Tsinghua University, Department of Electrical Engineering, Beijing, China
- Kaixuan Chen 0003 — Sun Yat-sen University, School of Mathematics, Guangzhou, China
- Kaixuan Chen 0005 — Anhui University, School of Electrical Engineering and Automation, Hefei, China
- Kaixuan Chen 0006 — Xiamen University, School of Informatics, China
- Kaixuan Chen 0007 — Tianjin University, MoE Key Laboratory of Mechanism Theory and Equipment Design, China
- Kaixuan Chen 0008 — Foshan University, China
- Kaixuan Chen 0009 — Nanjing Agricultural University, China
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2020 – today
- 2024
[j6]Yu Wang, Tongya Zheng, Shunyu Liu, Zunlei Feng, Kai-Xuan Chen, Yunzhi Hao, Mingli Song:
Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation. IEEE Trans. Knowl. Data Eng. 36(11): 7074-7086 (2024)- [c14]Wenda Li, Kaixuan Chen, Shunyu Liu, Tongya Zheng, Wenjie Huang, Mingli Song:
Learning a Mini-Batch Graph Transformer via Two-Stage Interaction Augmentation. ECAI 2024: 3015-3022 - [c13]Na Yu, Ke Xu, Kai-Xuan Chen, Shunyu Liu, Tongya Zheng, Mingli Song:
Multi-Channel Graph Fusion Representation for Tabular Data Imputation. IJCNN 2024: 1-8 - [c12]Yuwen Wang, Shunyu Liu, Tongya Zheng, Kaixuan Chen, Mingli Song:
Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks. KDD 2024: 3277-3288 - [i24]Kaixuan Chen, Wei Luo, Shunyu Liu, Yaoquan Wei, Yihe Zhou, Yunpeng Qing, Quan Zhang, Jie Song, Mingli Song:
Powerformer: A Section-adaptive Transformer for Power Flow Adjustment. CoRR abs/2401.02771 (2024) - [i23]Yunpeng Qing, Shunyu Liu, Jingyuan Cong, Kaixuan Chen, Yihe Zhou, Mingli Song:
Advantage-Aware Policy Optimization for Offline Reinforcement Learning. CoRR abs/2403.07262 (2024) - [i22]Shunyu Liu, Wei Luo, Yanzhen Zhou, Kai-Xuan Chen, Quan Zhang, Huating Xu, Qinglai Guo, Mingli Song:
Transmission Interface Power Flow Adjustment: A Deep Reinforcement Learning Approach based on Multi-task Attribution Map. CoRR abs/2405.15831 (2024) - [i21]Yuwen Wang, Shunyu Liu, Tongya Zheng, Kaixuan Chen, Mingli Song:
Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks. CoRR abs/2407.01979 (2024) - [i20]Wenda Li, Kai-Xuan Chen, Shunyu Liu, Tongya Zheng, Wenjie Huang, Mingli Song:
Learning a Mini-batch Graph Transformer via Two-stage Interaction Augmentation. CoRR abs/2407.09904 (2024) - 2023
- [j5]Kaixuan Chen, Jie Song, Shunyu Liu, Na Yu, Zunlei Feng, Gengshi Han, Mingli Song:
Distribution Knowledge Embedding for Graph Pooling. IEEE Trans. Knowl. Data Eng. 35(8): 7898-7908 (2023) - [j4]Shunyu Liu, Kai-Xuan Chen, Na Yu, Jie Song, Zunlei Feng, Mingli Song:
Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework. IEEE Trans. Syst. Man Cybern. Syst. 53(12): 7403-7414 (2023) - [c11]Shunyu Liu, Yihe Zhou, Jie Song, Tongya Zheng, Kaixuan Chen, Tongtian Zhu, Zunlei Feng, Mingli Song:
Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition. AAAI 2023: 11595-11603 - [c10]Yuwen Wang, Shunyu Liu, Kaixuan Chen, Tongtian Zhu, Ji Qiao, Mengjie Shi, Yuanyu Wan, Mingli Song:
Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Tickets. ECAI 2023: 2583-2590 - [c9]Wenda Li, Kaixuan Chen, Shunyu Liu, Wenjie Huang, Haofei Zhang, Mingli Song, Yingjie Tian, Yun Su:
Message-passing Selection: Towards Interpretable GNNs for Graph Classification. Tiny Papers @ ICLR 2023 - [c8]Haofei Zhang, Mengqi Xue, Xiaokang Liu, Kaixuan Chen, Jie Song, Mingli Song:
Schema Inference for Interpretable Image Classification. ICLR 2023 - [c7]Tongtian Zhu, Fengxiang He, Kaixuan Chen, Mingli Song, Dacheng Tao:
Decentralized SGD and Average-direction SAM are Asymptotically Equivalent. ICML 2023: 43005-43036 - [c6]Kaixuan Chen, Shunyu Liu, Tongtian Zhu, Ji Qiao, Yun Su, Yingjie Tian, Tongya Zheng, Haofei Zhang, Zunlei Feng, Jingwen Ye, Mingli Song:
Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization. KDD 2023: 237-249 - [i19]Haofei Zhang, Mengqi Xue, Xiaokang Liu, Kaixuan Chen, Jie Song, Mingli Song:
Schema Inference for Interpretable Image Classification. CoRR abs/2303.06635 (2023) - [i18]Yihe Zhou, Shunyu Liu, Yunpeng Qing, Kaixuan Chen, Tongya Zheng, Yanhao Huang, Jie Song, Mingli Song:
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL? CoRR abs/2305.17352 (2023) - [i17]Kaixuan Chen, Shunyu Liu, Tongtian Zhu, Tongya Zheng, Haofei Zhang, Zunlei Feng, Jingwen Ye, Mingli Song:
Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization. CoRR abs/2305.19903 (2023) - [i16]Wenda Li, Kaixuan Chen, Shunyu Liu, Wenjie Huang, Haofei Zhang, Yingjie Tian, Yun Su, Mingli Song:
Message-passing selection: Towards interpretable GNNs for graph classification. CoRR abs/2306.02081 (2023) - [i15]Tongtian Zhu, Fengxiang He, Kaixuan Chen, Mingli Song, Dacheng Tao:
Decentralized SGD and Average-direction SAM are Asymptotically Equivalent. CoRR abs/2306.02913 (2023) - [i14]Yu Wang, Tongya Zheng, Shunyu Liu, Kaixuan Chen, Zunlei Feng, Yunzhi Hao, Mingli Song:
Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation. CoRR abs/2306.09381 (2023) - [i13]Yuwen Wang, Shunyu Liu, Kaixuan Chen, Tongtian Zhu, Ji Qiao, Mengjie Shi, Yuanyu Wan, Mingli Song:
Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Ticket. CoRR abs/2308.02916 (2023) - [i12]Yaoquan Wei, Shunyu Liu, Jie Song, Tongya Zheng, Kaixuan Chen, Yong Wang, Mingli Song:
Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning. CoRR abs/2311.16807 (2023) - 2022
- [j3]Rui Wang, Xiaojun Wu, Kai-Xuan Chen, Josef Kittler:
Multiple Riemannian Manifold-Valued Descriptors Based Image Set Classification With Multi-Kernel Metric Learning. IEEE Trans. Big Data 8(3): 753-769 (2022) - [c5]Kaixuan Chen, Shunyu Liu, Na Yu, Rong Yan, Quan Zhang, Jie Song, Zunlei Feng, Mingli Song:
Distribution-Aware Graph Representation Learning for Transient Stability Assessment of Power System. IJCNN 2022: 1-8 - [i11]Kaixuan Chen, Shunyu Liu, Na Yu, Rong Yan, Quan Zhang, Jie Song, Zunlei Feng, Mingli Song:
Distribution-Aware Graph Representation Learning for Transient Stability Assessment of Power System. CoRR abs/2205.06576 (2022) - [i10]Shunyu Liu, Xinchao Wang, Na Yu, Jie Song, Kaixuan Chen, Zunlei Feng, Mingli Song:
Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework. CoRR abs/2207.01955 (2022) - [i9]Shunyu Liu, Jie Song, Yihe Zhou, Na Yu, Kaixuan Chen, Zunlei Feng, Mingli Song:
Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning. CoRR abs/2207.03902 (2022) - [i8]Shunyu Liu, Yihe Zhou, Jie Song, Tongya Zheng, Kaixuan Chen, Tongtian Zhu, Zunlei Feng, Mingli Song:
Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition. CoRR abs/2211.12712 (2022) - 2021
- [c4]Gengshi Han, Shunyu Liu, Kaixuan Chen, Na Yu, Zunlei Feng, Mingli Song:
Imbalanced Sample Generation and Evaluation for Power System Transient Stability Using CTGAN. ICO 2021: 555-565 - [i7]Kaixuan Chen, Jie Song, Shunyu Liu, Na Yu, Zunlei Feng, Mingli Song:
Distribution Knowledge Embedding for Graph Pooling. CoRR abs/2109.14333 (2021) - [i6]Gengshi Han, Shunyu Liu, Kaixuan Chen, Na Yu, Zunlei Feng, Mingli Song:
Imbalanced Sample Generation and Evaluation for Power System Transient Stability Using CTGAN. CoRR abs/2112.08836 (2021) - 2020
- [j2]Kai-Xuan Chen, Jie-Yi Ren, Xiao-Jun Wu, Josef Kittler:
Covariance descriptors on a Gaussian manifold and their application to image set classification. Pattern Recognit. 107: 107463 (2020)
2010 – 2019
- 2019
- [c3]Kai-Xuan Chen, Xiao-Jun Wu, Jie-Yi Ren, Rui Wang, Josef Kittler:
More About Covariance Descriptors for Image Set Coding: Log-Euclidean Framework Based Kernel Matrix Representation. ICCV Workshops 2019: 2923-2932 - [i5]Kai-Xuan Chen, Xiao-Jun Wu, Jie-Yi Ren, Rui Wang, Josef Kittler:
More About Covariance Descriptors for Image Set Coding: Log-Euclidean Framework based Kernel Matrix Representation. CoRR abs/1909.07273 (2019) - 2018
- [j1]Kai-Xuan Chen, Xiao-Jun Wu:
Component SPD matrices: A low-dimensional discriminative data descriptor for image set classification. Comput. Vis. Media 4(3): 245-252 (2018) - [c2]Rui Wang, Xiao-Jun Wu, Kai-Xuan Chen, Josef Kittler:
Multiple Manifolds Metric Learning with Application to Image Set Classification. ICPR 2018: 627-632 - [c1]Kai-Xuan Chen, Xiao-Jun Wu, Rui Wang, Josef Kittler:
Riemannian kernel based Nyström method for approximate infinite-dimensional covariance descriptors with application to image set classification. ICPR 2018: 651-656 - [i4]Rui Wang, Xiao-Jun Wu, Kai-Xuan Chen, Josef Kittler:
Multiple Manifolds Metric Learning with Application to Image Set Classification. CoRR abs/1805.11918 (2018) - [i3]Kai-Xuan Chen, Xiao-Jun Wu, Rui Wang, Josef Kittler:
Riemannian kernel based Nyström method for approximate infinite-dimensional covariance descriptors with application to image set classification. CoRR abs/1806.06177 (2018) - [i2]Kai-Xuan Chen, Xiao-Jun Wu:
Component SPD Matrices: A lower-dimensional discriminative data descriptor for image set classification. CoRR abs/1806.06178 (2018) - [i1]Rui Wang, Xiao-Jun Wu, Kai-Xuan Chen, Josef Kittler:
Grassmannian Discriminant Maps (GDM) for Manifold Dimensionality Reduction with Application to Image Set Classification. CoRR abs/1806.10830 (2018)
Coauthor Index
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