Riemannian kernel based Nyström method for approximate infinite-dimensional covariance descriptors with application to image set classification. - Kai-Xuan Chen 001; Xiao-Jun Wu 001; Rui Wang 050; Josef Kittler (ICPR, 2018)

Multiple Manifolds Metric Learning with Application to Image Set Classification. - Rui Wang 050; Xiao-Jun Wu 001; Kai-Xuan Chen 001; Josef Kittler (ICPR, 2018)

Component SPD Matrices: A lower-dimensional discriminative data descriptor for image set classification. - Kai-Xuan Chen 001; Xiao-Jun Wu 001 (CoRR, 2018)

Grassmannian Discriminant Maps (GDM) for Manifold Dimensionality Reduction with Application to Image Set Classification. - Rui Wang 050; Xiao-Jun Wu 001; Kai-Xuan Chen 001; Josef Kittler (CoRR, 2018)

Component SPD matrices: A low-dimensional discriminative data descriptor for image set classification. - Kai-Xuan Chen 001; Xiao-Jun Wu 001 (Comput. Vis. Media, 2018)

More About Covariance Descriptors for Image Set Coding: Log-Euclidean Framework Based Kernel Matrix Representation. - Kai-Xuan Chen 001; Xiao-Jun Wu 001; Jie-Yi Ren; Rui Wang 050; Josef Kittler (ICCV Workshops, 2019)

Covariance descriptors on a Gaussian manifold and their application to image set classification. - Kai-Xuan Chen 001; Jie-Yi Ren; Xiao-Jun Wu 001; Josef Kittler (Pattern Recognit., 2020)

Imbalanced Sample Generation and Evaluation for Power System Transient Stability Using CTGAN. - Gengshi Han; Shunyu Liu 001; Kaixuan Chen 004; Na Yu; Zunlei Feng; Mingli Song (ICO, 2021)

Distribution Knowledge Embedding for Graph Pooling. - Kaixuan Chen 004; Jie Song 011; Shunyu Liu 001; Na Yu; Zunlei Feng; Mingli Song (CoRR, 2021)

Distribution-Aware Graph Representation Learning for Transient Stability Assessment of Power System. - Kaixuan Chen 004; Shunyu Liu 001; Na Yu; Rong Yan; Quan Zhang; Jie Song 011; Zunlei Feng; Mingli Song (IJCNN, 2022)

Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework. - Shunyu Liu 001; Xinchao Wang; Na Yu; Jie Song 011; Kaixuan Chen 004; Zunlei Feng; Mingli Song (CoRR, 2022)

Multiple Riemannian Manifold-Valued Descriptors Based Image Set Classification With Multi-Kernel Metric Learning. - Rui Wang 050; Xiaojun Wu 001; Kai-Xuan Chen 001; Josef Kittler (IEEE Trans. Big Data, 2022)

Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition. - Shunyu Liu 001; Yihe Zhou; Jie Song 011; Tongya Zheng; Kaixuan Chen 004; Tongtian Zhu; Zunlei Feng; Mingli Song (AAAI, 2023)

Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Tickets. - Yuwen Wang; Shunyu Liu 001; Kaixuan Chen 004; Tongtian Zhu; Ji Qiao; Mengjie Shi; Yuanyu Wan; Mingli Song (ECAI, 2023)

Message-passing Selection: Towards Interpretable GNNs for Graph Classification. - Wenda Li 003; Kaixuan Chen 004; Shunyu Liu 001; Wenjie Huang; Haofei Zhang; Mingli Song; Yingjie Tian 002; Yun Su (Tiny Papers @ ICLR, 2023)

Schema Inference for Interpretable Image Classification. - Haofei Zhang; Mengqi Xue; Xiaokang Liu; Kaixuan Chen 004; Jie Song 011; Mingli Song (ICLR, 2023)

Decentralized SGD and Average-direction SAM are Asymptotically Equivalent. - Tongtian Zhu; Fengxiang He; Kaixuan Chen 004; Mingli Song; Dacheng Tao (ICML, 2023)

Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization. - Kaixuan Chen 004; Shunyu Liu 001; Tongtian Zhu; Ji Qiao; Yun Su; Yingjie Tian 002; Tongya Zheng; Haofei Zhang; Zunlei Feng; Jingwen Ye; Mingli Song (KDD, 2023)

Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL? - Yihe Zhou; Shunyu Liu 001; Yunpeng Qing; Kaixuan Chen 004; Tongya Zheng; Yanhao Huang; Jie Song 011; Mingli Song (CoRR, 2023)

Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization. - Kaixuan Chen 004; Shunyu Liu 001; Tongtian Zhu; Tongya Zheng; Haofei Zhang; Zunlei Feng; Jingwen Ye; Mingli Song (CoRR, 2023)

Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Ticket. - Yuwen Wang; Shunyu Liu 001; Kaixuan Chen 004; Tongtian Zhu; Ji Qiao; Mengjie Shi; Yuanyu Wan; Mingli Song (CoRR, 2023)

Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning. - Yaoquan Wei; Shunyu Liu 001; Jie Song 011; Tongya Zheng; Kaixuan Chen 004; Yong Wang; Mingli Song (CoRR, 2023)

Distribution Knowledge Embedding for Graph Pooling. - Kaixuan Chen 004; Jie Song 011; Shunyu Liu 001; Na Yu; Zunlei Feng; Gengshi Han; Mingli Song (IEEE Trans. Knowl. Data Eng., 2023)

Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework. - Shunyu Liu 001; Kai-Xuan Chen 001; Na Yu; Jie Song 011; Zunlei Feng; Mingli Song (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Learning a Mini-Batch Graph Transformer via Two-Stage Interaction Augmentation. - Wenda Li 003; Kaixuan Chen 004; Shunyu Liu 001; Tongya Zheng; Wenjie Huang; Mingli Song (ECAI, 2024)

Unified Mask Graph Modeling for Incomplete Tabular Learning. - Na Yu; Tongya Zheng; Shunyu Liu 001; Kai-Xuan Chen 001; Mingli Song (ICONIP (6), 2024)

Multi-Channel Graph Fusion Representation for Tabular Data Imputation. - Na Yu; Ke Xu; Kai-Xuan Chen 001; Shunyu Liu 001; Tongya Zheng; Mingli Song (IJCNN, 2024)

Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks. - Yuwen Wang; Shunyu Liu 001; Tongya Zheng; Kaixuan Chen 004; Mingli Song (KDD, 2024)

A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective. - Yunpeng Qing; Shunyu Liu 001; Jingyuan Cong; Kaixuan Chen 004; Yihe Zhou; Mingli Song (NeurIPS, 2024)

Advantage-Aware Policy Optimization for Offline Reinforcement Learning. - Yunpeng Qing; Shunyu Liu 001; Jingyuan Cong; Kaixuan Chen 004; Yihe Zhou; Mingli Song (CoRR, 2024)

Transmission Interface Power Flow Adjustment: A Deep Reinforcement Learning Approach based on Multi-task Attribution Map. - Shunyu Liu 001; Wei Luo; Yanzhen Zhou; Kai-Xuan Chen 001; Quan Zhang; Huating Xu; Qinglai Guo; Mingli Song (CoRR, 2024)

Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation. - Yu Wang 176; Tongya Zheng; Shunyu Liu 001; Zunlei Feng; Kai-Xuan Chen 001; Yunzhi Hao; Mingli Song (IEEE Trans. Knowl. Data Eng., 2024)

Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning. - Shunyu Liu 001; Jie Song 011; Yihe Zhou; Na Yu; Kaixuan Chen 004; Zunlei Feng; Mingli Song (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning. - Yaoquan Wei; Shunyu Liu 001; Jie Song 011; Tongya Zheng; Kaixuan Chen 004; Mingli Song (AAAI, 2025)

Disentangled Table-Graph Representation for Interpretable Transmission Line Fault Location. - Na Yu; Yutong Deng; Shunyu Liu 001; Kaixuan Chen 004; Tongya Zheng; Mingli Song (AAAI, 2025)

Cooperative Policy Agreement: Learning Diverse Policy for Offline MARL. - Yihe Zhou; Yuxuan Zheng; Yue Hu; Kaixuan Chen 004; Tongya Zheng; Jie Song 011; Mingli Song; Shunyu Liu 001 (AAAI, 2025)

Spatial-Temporal Reconstruction Error for AIGC-based Forgery Image Detection. - Chengji Shen; Zhenjiang Liu; Kaixuan Chen 004; Jie Lei 002; Mingli Song; Zunlei Feng (ICASSP, 2025)

From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks. - Jie Yang; Yuwen Wang; Kaixuan Chen 004; Tongya Zheng; Yihe Zhou; Zhenbang Xiao; Ji Cao 001; Mingli Song; Shunyu Liu 001 (ICLR, 2025)

CADP: Towards Better Centralized Learning for Decentralized Execution in MARL. - Yihe Zhou; Shunyu Liu 001; Yunpeng Qing; Tongya Zheng; Kaixuan Chen 004; Jie Song 011; Mingli Song (AAMAS, 2025)

Powerformer: A Section-adaptive Transformer for Power Flow Adjustment. - Kaixuan Chen 004; Wei Luo; Shunyu Liu 001; Yaoquan Wei; Yihe Zhou; Yunpeng Qing; Quan Zhang; Yong Wang; Jie Song 011; Mingli Song (KDD (1), 2025)

SeRL: Self-Play Reinforcement Learning for Large Language Models with Limited Data. - Wenkai Fang; Shunyu Liu 001; Yang Zhou; Kongcheng Zhang; Tongya Zheng; Kai-Xuan Chen 001; Mingli Song; Dacheng Tao (CoRR, 2025)