Tongya Zheng / 郑铜亚

Tongya Zheng / 郑铜亚

Postdoc @ HZCU

Tongya Zheng / 郑铜亚

Assitant Professor | Big Graph Center | Hangzhou City University


News


Biography

I am currently working as a tenure-track Assitant Professor at Big Graph Center, School of Computer and Computing Science @ Hangzhou City University. I obtained my Ph.D. degree from the Colledge of Computer Science and Technology, Zhejiang University, in 2023 under the supervision of Prof. Mingli Song and Prof. Chun Chen. Prior to that, I recieved the B.Eng. degree from Nanjing University of Science and Technology, in 2017. Please feel free to contact me if you are interested in my research :)

My current research interests include

  • agentic graph reasoning
  • graph foundation model
  • urban computing
  • trajectory representation learning


Selected Publications

$^*$ Corresponding author.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • Simple Graph Condensation [Paper] [Code]
    Zhenbang Xiao, Yu Wang, Shunyu Liu, Huiqiong Wang$^*$, Mingli Song, Tongya Zheng.
    ECML-PKDD, 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.

  • 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.

  • 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.

  • 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.

  • 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.


Awards & Honors

Scholarship & Hornors

  • Outstanding Graduate, Zhejiang University, 2019.
  • Academic Excellence Scholarship, Nanjing University of Science and Technology, 2017.
  • National Inspirational Scholarship, Nanjing University of Science and Technology, 2014, 2015.


Academic Services

Journal Reviewer

  • ACM Transactions on Knowledge Discovery from Data
  • Expert Systems With Applicatins
  • IEEE Transactions on Computational Social Systems
  • IEEE Transactions on Knowledge and Data Engineering
  • Information Sciences
  • Journal of Computer-Aided Design & Computer Graphics
  • Knowledge based Systems
  • Neurocomputing

Conference Reviewer

  • AAAI 2023, 2024, 2025, 2026
  • CIKM 2024, 2025
  • ECAI 2023, 2024, 2025
  • ECML-PKDD 2020, 2023, 2024, 2025
  • ICML 2025
  • IJCAI 2025
  • KDD 2025, 2026
  • NeurIPS 2025
  • SIGIR 2025
  • SIGIR-AP 2025
  • WSDM 2026
  • WWW 2026