Real-time intelligent big data processing: technology, platform, and applications. - Tongya Zheng; Gang Chen 001; Xinyu Wang 001; Chun Chen 001; Xingen Wang; Sihui Luo 001 (Sci. China Inf. Sci., 2019)

Learning Dynamic Preference Structure Embedding From Temporal Networks. - Tongya Zheng; Zunlei Feng; Yu Wang 176; Chengchao Shen; Mingli Song; Xingen Wang; Xinyu Wang 001; Chun Chen 001; Hao Xu (ICBK, 2021)

HIRE: Distilling high-order relational knowledge from heterogeneous graph neural networks. - Jing Liu 080; Tongya Zheng; Qinfen Hao (Neurocomputing, 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)

Attribution Guided Layerwise Knowledge Amalgamation from Graph Neural Networks. - Yunzhi Hao; Yu Wang 176; Shunyu Liu 001; Tongya Zheng; Xingen Wang; Xinyu Wang 001; Mingli Song; Wenqi Huang 002; Chun Chen 001 (ICONIP (1), 2023)

Heterogeneous Graph Prototypical Networks for Few-Shot Node Classification. - Yunzhi Hao; Mengfan Wang; Xingen Wang; Tongya Zheng; Xinyu Wang 001; Wenqi Huang 002; Chun Chen 001 (ICONIP (8), 2023)

Disentangling Node Metric Factors for Temporal Link Prediction. - Tianli Zhang; Tongya Zheng; Yuanyu Wan; Ying Li; Wenqi Huang 002 (ICONIP (2), 2023)

A General Heterogeneous Hypergraph Neural Network for Node Classification. - Bingde Hu; Wenjie Huang; Tongya Zheng; Mingli Song; Ying Li (IJCNN, 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)

Graph-based Knowledge Distillation: A survey and experimental evaluation. - Jing Liu 080; Tongya Zheng; Guanzheng Zhang; Qinfen Hao (CoRR, 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)

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)

Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation. - Tongya Zheng; Xinchao Wang; Zunlei Feng; Jie Song 011; Yunzhi Hao; Mingli Song; Xingen Wang; Xinyu Wang 001; Chun Chen 001 (IEEE Trans. Knowl. Data Eng., 2023)

DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection. - Mingjiang Duan; Tongya Zheng; Yang Gao 001; Gang Wang; Zunlei Feng; Xinyu Wang 001 (AAAI, 2024)

Language Models-enhanced Semantic Topology Representation Learning For Temporal Knowledge Graph Extrapolation. - Tianli Zhang; Tongya Zheng; Zhenbang Xiao; Zulong Chen; Liangyue Li; Zunlei Feng; Dongxiang Zhang; Mingli Song (CIKM, 2024)

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)

TrajGraph: A Dual-View Graph Transformer Model for Effective Next Location Recommendation. - Jiafeng Zhao; Hao Ni; Canghong Jin; Tongya Zheng; Longxiang Shi; Xiaoliang Wang (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)

Simple Graph Condensation. - Zhenbang Xiao; Yu Wang 176; Shunyu Liu 001; Huiqiong Wang; Mingli Song; Tongya Zheng (ECML/PKDD (2), 2024)

COLA: Cross-city Mobility Transformer for Human Trajectory Simulation. - Yu Wang 176; Tongya Zheng; Yuxuan Liang; Shunyu Liu 001; Mingli Song (WWW, 2024)

Disentangled Condensation for Large-scale Graphs. - Zhenbang Xiao; Shunyu Liu 001; Yu Wang 176; Tongya Zheng; Mingli Song (CoRR, 2024)

Odyssey: Empowering Agents with Open-World Skills. - Shunyu Liu 001; Yaoru Li; Kongcheng Zhang; Zhenyu Cui; Wenkai Fang; Yuxuan Zheng; Tongya Zheng; Mingli Song (CoRR, 2024)

Graph Neural Networks-based hybrid framework for predicting particle crushing strength. - Tongya Zheng; Tianli Zhang; Qingzheng Guan; Wenjie Huang; Zunlei Feng; Mingli Song; Chun Chen 001 (Expert Syst. Appl., 2024)

Spatiotemporal gated traffic trajectory simulation with semantic-aware graph learning. - Yu Wang 176; Ji Cao 001; Wenjie Huang; Zhihua Liu; Tongya Zheng; Mingli Song (Inf. Fusion, 2024)

Transition Propagation Graph Neural Networks for Temporal Networks. - Tongya Zheng; Zunlei Feng; Tianli Zhang; Yunzhi Hao; Mingli Song; Xingen Wang; Xinyu Wang 001; Ji Zhao 016; Chun Chen 001 (IEEE Trans. Neural Networks Learn. Syst., 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)

Holistic Semantic Representation for Navigational Trajectory Generation. - Ji Cao 001; Tongya Zheng; Qinghong Guo; Yu Wang 176; Junshu Dai; Shunyu Liu 001; Jie Yang; Jie Song 011; Mingli Song (AAAI, 2025)

Global Attribute-Association Pattern Aggregation for Graph Fraud Detection. - Mingjiang Duan; Da He; Tongya Zheng; Lingxiang Jia; Mingli Song; Xinyu Wang 001; Zunlei Feng (AAAI, 2025)

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)

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)

Disentangled Condensation for Large-scale Graphs. - Zhenbang Xiao; Yu Wang 176; Shunyu Liu 001; Bingde Hu; Huiqiong Wang; Mingli Song; Tongya Zheng (WWW, 2025)

BARE: Balance representation for imbalance multi-class node classification on heterogeneous information networks. - Canghong Jin; Hao Ni; Feng Miao; Tongya Zheng; Mingli Song; Zemin Liu (Expert Syst. Appl., 2025)

Curriculum negative mining for temporal networks. - Ziyue Chen; Tongya Zheng; Mingli Song (Neural Networks, 2025)

Parallelized Planning-Acting for Efficient LLM-based Multi-Agent Systems. - Yaoru Li; Shunyu Liu 001; Tongya Zheng; Mingli Song (CoRR, 2025)

Adaptive Location Hierarchy Learning for Long-Tailed Mobility Prediction. - Yu Wang 176; Junshu Dai; Yuchen Ying; Yuxuan Liang; Tongya Zheng; Mingli Song (CoRR, 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)