Publications

$^\dagger$ Equal contribution. $^*$ Corresponding author.

Conference

• Neural Graph Navigation for Intelligent Subgraph Matching [Paper] [Code]
  Yuchen Ying, Yiyang Dai, Wenda Li, Wenjie Huang, Rui Wang, Tongya Zheng$^*$, Yu Wang, Hanyang Yuan, Mingli Song.
  The 40th Annual AAAI Conference on Artificial Intelligence (AAAI), 2026.

• Dual-branch Spatial-Temporal Self-supervised Representation for Enhanced Road Network Learning [Paper] [Code]
  Qinghong Guo, Yu Wang, Ji Cao, Tongya Zheng$^*$, Junshu Dai, Bingde Hu, Shunyu Liu, Canghong Jin.
  The 40th Annual AAAI Conference on Artificial Intelligence (AAAI), 2026.

• Tree of Preferences for Diversified Recommendation [Paper] [Code]
  Hanyang Yuan, Ning Tang, Tongya Zheng$^$, Jiarong Xu$^$, Xintong Hu, Renhong Huang, Shunyu Liu, Jiacong Hu, Jiawei Chen, and Mingli Song
  The 39th Annual Conference on Neural Information Processing Systems, 2025.

• SeRL: Self-Play Reinforcement Learning for Large Language Models with Limited Data [Paper] [Code]
  Wenkai Fang, Shunyu Liu$^*$, Yang Zhou, Kongcheng Zhang, Tongya Zheng, Kaixuan Chen, Mingli Song, Dacheng Tao
  The 39th Annual Conference on Neural Information Processing Systems, 2025.

• SALoM: Structure Aware Temporal Graph Networks with Long-Short Memory Updater [Paper] [Code]
  Hanwen Liu, Longjiao Zhang, Rui Wang$^*$, Tongya Zheng, Sai Wu, Chang Yao, and Mingli Song
  The 39th Annual Conference on Neural Information Processing Systems, 2025.

• Binning Encoder-based Grouped Aggregation for Network Traffic Anomaly Detection [Paper] [Code]
  Lingyao Lu, Tongya Zheng, Haoye Wang$^*$, Zunlei Feng, and Mingli Song
  The 39th Annual Conference on Neural Information Processing Systems, 2025.

• Effective and Efficient Distributed Temporal Graph Learning through Hotspot Memory Sharing [Paper] [Code]
  Longjiao Zhang, Rui Wang$^*$, Tongya Zheng, Ziqi Huang, Wenjie Huang, Xinyu Wang, Can Wang, Mingli Song, Sai Wu, Shuibing He.
  The 51st International Conference on Very Large Data BasesLondon (VLDB), 2025.

• Efficient Dynamic Graphs Learning with Refined Batch Parallel Training [Paper] [Code]
  Zhengzhao Feng, Rui Wang$^*$, Longjiao Zhang, Tongya Zheng, Ziqi Huang, Mingli Song.
  The 34th International Joint Conference on Artificial Intelligence (IJCAI), 2025.

• Odyssey : Empowering Minecraft Agents with Open-World Skills [Paper] [Code]
  Shunyu Liu, Yaoru Li, Kongcheng Zhang, Zhenyu Cui, Wenkai Fang, Yuxuan Zheng, Tongya Zheng, Mingli Song$^*$.
  The 34th International Joint Conference on Artificial Intelligence (IJCAI), 2025.

• CADP: Towards Better Centralized Learning for Decentralized Execution in MARL [Paper] [Code]
  Yihe Zhou$^\dagger$, Shunyu Liu$^{\dagger *}$, Yunpeng Qing, Kaixuan Chen, Tongya Zheng, Yanhao Huang, Jie Song, Mingli Song.
  The 34th International Joint Conference on Artificial Intelligence (IJCAI), 2025.

• From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks [Paper] [Code]
  Jie Yang, Yuwen Wang, Kaixuan Chen, Tongya Zheng, Yihe Zhou, Zhenbang Xiao, Ji Cao, Mingli Song, Shunyu Liu$^*$.
  The 13th International Conference on Learning Representations, 2025.

• Disentangled Condensation for Large-scale Graphs [Paper] [Code]
  Zhenbang Xiao, Yu Wang, Shunyu Liu, Bingde Hu, Huiqiong Wang$^*$, Mingli Song, Tongya Zheng.
  The Web Conference (WWW), 2025.

• Disentangled Table-Graph Representation for Interpretable Transmission Line Fault Location [Paper]
  Na Yu, Yutong Deng, Shunyu Liu, Kaixuan Chen$^*$, Tongya Zheng, Mingli Song.
  The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025.

• Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning [Paper]
  Yaoquan Wei, Shunyu Liu$^*$, Jie Song, Tongya Zheng, Kaixuan Chen, Mingli Song.
  The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025.

• Holistic Semantic Representation for Navigational Trajectory Generation [Paper]
  Ji Cao, Tongya Zheng$^*$, Qinghong Guo, Yu Wang, Junshu Dai, Shunyu Liu, Jie Yang, Jie Song, Mingli Song.
  The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025.

• Cooperative Policy Agreement: Learning Diverse Policy for Offline MARL [Paper]
  Yihe Zhou, Yuxuan Zheng, Yue Hu, Kaixuan Chen, Tongya Zheng, Jie Song, Mingli Song, Shunyu Liu$^*$.
  The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025.

• Global Attribute-Association Pattern Aggregation for Graph Fraud Detection [Paper]
  Mingjiang Duan, Da He, Tongya Zheng, Lingxiang Jia, Mingli Song, Xinyu Wang, Zunlei Fen$^*$g.
  The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025.

• Unified Mask Graph Modeling for Incomplete Tabular Learning [Paper]
  Na Yu, Tongya Zheng$^*$, Kaixuan Chen, Shunyu Liu, Mingli Song.
  The 31st International Conference on Neural Information Processing (ICONIP), 2024.

• Language Models-enhanced Semantic Topology Representation Learning For Temporal Knowledge Graph Extrapolation [Paper]
  Tianli Zhang, Tongya Zheng$^*$, Zhenbang Xiao, Zulong Chen, Liangyue Li, Zunlei Feng, Dongxiang Zhang, Mingli Song.
  The 33rd ACM International Conference on Information and Knowledge Management (CIKM), 2024.

• Learning a Mini-batch Graph Transformer via Two-stage Interaction Augmentation [Paper]
  Wenda Li, Kaixuan Chen, Shunyu Liu, Tongya Zheng, Wenjie Huang and Mingli Song$^*$.
  European Conference on Artificial Intelligence (ECAI), 2024.

• Simple Graph Condensation [Paper]
  Zhenbang Xiao, Yu Wang, Shunyu Liu, Huiqiong Wang$^*$, Mingli Song, Tongya Zheng.
  European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2024.

• Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks [Paper]
  Yuwen Wang, Shunyu Liu$^*$, Tongya Zheng, Kaixuan Chen, Mingli Song.
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024.

• COLA: Cross-city Mobility Transformer for Human Trajectory Simulation [Paper] [Code]
  Yu Wang, Tongya Zheng$^*$, Yuxuan Liang, Shunyu Liu, Mingli Song.
  The Web Conference (WWW), 2024.

• DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection [Paper] [Code]
  Mingjiang Duan, Tongya Zheng, Yang Gao, Gang Wang, Zunlei Feng$^*$, Xinyu Wang.
  AAAI Conference on Artificial Intelligence (AAAI), 2024.

• Disentangling Node Metric Factors for Temporal Link Prediction [Paper]
  Tianli Zhang, Tongya Zheng, Yuanyu Wan$^*$, Ying Li, Wenqi Huang. International Conference on Neural Information Processing (ICONIP), 2023.

• Heterogeneous Graph Prototypical Networks for Few-Shot Node Classification [Paper]
  Yunzhi Hao$^*$ , Mengfan Wang, Xingen Wang, Tongya Zheng, Xinyu Wang, Wenqi Huang, Chun Chen.
  International Conference on Neural Information Processing (ICONIP), 2023.

• Attribution Guided Layerwise Knowledge Amalgamation from Graph Neural Networks [Paper]
  Yunzhi Hao, Yu Wang, Shunyu Liu, Tongya Zheng$^*$, Xingen Wang, Xinyu Wang, Mingli Song, Wenqi Huang, Chun Chen.
  International Conference on Neural Information Processing (ICONIP), 2023.

• Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization [Paper] [Code]
  Kaixuan Chen$^\dagger$, Shunyu Liu$^\dagger$, Tongtian Zhu$^\dagger$, Ji Qiao, Yun Su, Yingjie Tian, Tongya Zheng, Haofei Zhang, Zunlei Feng, Jingwen Ye$^*$, Mingli Song.
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023.

• A General Heterogeneous Hypergraph Neural Network for Node Classification [Paper] [Code]
  Bingde Hu, Wenjie Huang, Tongya Zheng, Mingli Song$^*$, Ying Li 2023 International Joint Conference on Neural Networks (IJCNN), 2023.

• Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition [Paper] [Code]
  Shunyu Liu$^\dagger$, Yihe Zhou$^\dagger$, Jie Song, Tongya Zheng, Kaixuan Chen, Tongtian Zhu, Zunlei Feng, Mingli Song$^*$.
  AAAI Conference on Artificial Intelligence (AAAI), 2023, Oral.

• Learning Dynamic Preference Structure Embedding From Temporal Networks [Paper] [Code]
  Tongya Zheng, Zunlei Feng, Yu Wang, Chengchao Shen, Mingli Song$^*$, Xingen Wang, Xinyu Wang, Chun Chen, Hao Xu.
  IEEE International Conference on Big Knowledge (ICBK), 2021.

Journal

• Efficient Distributed Graph Neural Network Training With Source Chunking and Moving Aggregation [Paper] [Code]
  Wenjie Huang, Tongya Zheng, Rui Wang$^*$, Tongtian Zhu, Bingde Hu, Shuibing He, Mingli Song, Xinyu Wang, Sai Wu, Chun Chen.
  IEEE Transactions on Knowledge and Data Engineering, 2025.

• Curriculum Negative Mining For Temporal Networks [Paper] [Code]
  Ziyue Chen, Tongya Zheng$^*$, Mingli Song.
  Neural Networks, 2025.

• BARE: Balance representation for imbalance multi-class node classification on heterogeneous information networks [Paper]
  Canghong Jin, Hao Ni, Feng Miao, Tongya Zheng, Mingli Song, Zemin Liu$^*$.
  Expert Systems with Applications, 2024.

• Graph Neural Networks-based Hybrid Framework For Predicting Particle Crushing Strength [Paper] [Code]
  Tongya Zheng, Tianli Zhang, Qingzheng Guan, Wenjie Huang, Zunlei Feng, Mingli Song$^*$, Chun Chen.
  Expert Systems with Applications, 2024.

• Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation [Paper] [Code]
  Yu Wang, Tongya Zheng$^*$, Shunyu Liu, Kaixuan Chen, Zunlei Feng, Yunzhi Hao, Mingli Song.
  IEEE Transactions on Knowledge and Data Engineering, 2024.

• Spatiotemporal gated traffic trajectory simulation with semantic-aware graph learning [Paper] [Code]
  Yu Wang, Ji Cao, Wenjie Huang, Zhihua Liu, Tongya Zheng$^*$, Mingli Song.
  Information Fusion, 2024.

• A Survey on Knowledge Distillation with Graph: Methods and Application Analysis [Paper] [Code]
  Jing Liu, Tongya Zheng, Qinfen Hao$^*$.
  Journal of Software, 2023.

• Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation [Paper] [Code]
  Tongya Zheng, Xinchao Wang, Zunlei Feng, Jie Song, Yunzhi Hao, Mingli Song$^*$, Xingen Wang, Xinyu Wang, Chun Chen.
  IEEE Transactions on Knowledge and Data Engineering, 2023.

• HIRE: Distilling high-order relational knowledge from heterogeneous graph neural networks [Paper]
  Jing Liu, Tongya Zheng, Qinfen Hao$^*$.
  Neurocomputing, 2022.

• Transition Propagation Graph Neural Networks for Temporal Networks [Paper] [Code]
  Tongya Zheng, Zunlei Feng, Tianli Zhang, Yunzhi Hao, Mingli Song$^*$, Xingen Wang, Xinyu Wang, Ji Zhao, Chun Chen.
  IEEE Transactions on Neural Networks and Learning Systems, 2022.

• Real-time intelligent big data processing: technology, platform, and applications [Paper]
  Tongya Zheng, Gang Chen, Xinyu Wang$^*$, Chun Chen, Xingen Wang, Sihui Luo.
  Science China Information Sciences.

Preprint

• Unifying Environment Perception and Route Choice Modeling for Trajectory Representation Learning [Paper] [Code]
  Ji Cao, Yu Wang, Tongya Zheng$^*$, Zujie Ren, Canghong Jin, Gang Chen, Mingli Song.
  arXiv preprint arXiv:2510.14819, 2025.

• Breaking the Exploration Bottleneck: Rubric-Scaffolded Reinforcement Learning for General LLM Reasoning [Paper] [Code]
  Yang Zhou, Sunzhu Li, Shunyu Liu$^*$, Wenkai Fang, Kongcheng Zhang, Jiale Zhao, Jingwen Yang, Yihe Zhou, Jianwei Lv, Tongya Zheng, Hengtong Lu, Wei Chen, Yan Xie, Mingli Song.
  arXiv preprint arXiv:2508.16949, 2025.

• Adaptive Location Hierarchy Learning for Long-Tailed Mobility Prediction [Paper] <” target=”_blank” style=”text-decoration: none”>[Code]</a>
  Yu Wang, Junshu Dai, Yuchen Ying, Yuxuan Liang, Tongya Zheng$^*$, Mingli Song.
  arXiv preprint arXiv:2505.19965, 2025.

• Parallelized Planning-Acting for Efficient LLM-based Multi-Agent Systems [Paper] [Code]
  Yaoru Li, Shunyu Liu$^*$, Tongya Zheng, Mingli Song.
  arXiv preprint arXiv:2503.03505, 2025.

• Graph-based Knowledge Distillation: A survey and experimental evaluation [Paper] [Code]
  Jing Liu, Tongya Zheng, Guanzheng Zhang, Qinfen Hao$^*$.
  arXiv preprint arXiv:2305.17352, 2023.