Postdoc | Big Graph Center | Hangzhou City University

News

• Jan. 2025: One paper was accepted by WWW 2025.
• Dec. 2024: Five papers were accepted by AAAI 2025.
• Aug. 2024: One paper was accepted by ICONIP 2024.
• Jul. 2024: One paper was accepted by CIKM 2024.
• Jul. 2024: One paper was accepted by ECAI 2024.
• Jul. 2024: One paper was accepted by Expert Systems with Applications.
• May. 2024: One paper was accepted by IEEE TKDE.
• May. 2024: One paper was accepted by ECML-PKDD 2024.
• May. 2024: One paper was accepted by KDD 2024.
• Apr. 2024: One paper was accepted by Information Fusion.
• Jan. 2024: One paper was accepted by WWW 2024.
• Dec. 2023: One paper was accepted by AAAI 2024.
• Aug. 2023: Three papers were accepted by ICONIP 2023.
• Aug. 2023: One survey paper was accepted by Journal of Software.
• May. 2023: One paper was accepted by KDD 2023.
• Apr. 2023: One paper was accepted by IEEE TKDE.
• Mar. 2023: One paper was accepted by IJCNN 2023.
• Dec. 2022: One paper was accepted by AAAI 2023.
• Oct. 2022: One paper was accepted by Neurocomputing.
• Sep. 2022: One paper was accepted by IEEE TNNLS.
• Sep. 2021: One paper was accepted by ICBK 2021.
• Jul. 2019: One paper was accepted by Science China Information Sciences.

Biography

I am currently working as a Postdoctoral Researcher 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

• graph neural networks
• temporal networks
• urban computing
• trajectory simulation

Selected Publications

$^*$ Corresponding author.

• Curriculum Negative Mining For Temporal Networks [Paper] [Code]
  Ziyue Chen, Tongya Zheng$^*$, Mingli Song.
  arXiv preprint arXiv:2407.17070, 2024.

• Disentangled Condensation for Large-scale Graphs [Paper]
  Zhenbang Xiao, Shunyu Liu, Yu Wang, Tongya Zheng$^*$, Mingli Song.
  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, 2020, 2021.
• 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 Knowledge and Data Engineering
• Information Sciences
• Journal of Computer-Aided Design & Computer Graphics
• Knowledge based Systems

Conference Reviewer

• AAAI 2024, CIKM 2024, ECAI 2024, ECML-PKDD 2024
• AAAI 2023, ECAI 2023, ECML-PKDD 2023
• ECML-PKDD 2020