Zhen Song (宋振), Associate Professor at Shandong University. I serve as an executive committee member of the Information Systems and the Database Professional Committees. I received my Bachelor’s degree in Computer Science and Technology from Northeastern University in 2017, followed by a Master’s degree in Computer Software and Theory in 2019. I then pursued my Ph.D. in Computer Science and Technology at Northeastern University under the supervision of Prof. Yu Gu (谷峪) in the research group led by Prof. Ge Yu (于戈) and obtained my doctoral degree in 2025.

Currently, I am collaborating with Prof. Lizhen Cui (崔立真) at Shandong University. My research interests include distributed computing, graph data management, and artificial intelligence training.

🔥 News

2026.02: 🎉🎉 We have one paper accepted by SIGMOD 2026 [CCF-A].
2026.01: 🎉🎉 We have two papers accepted by DASFAA 2026 [CCF-B].
2025.10: 🎉🎉 We have one paper accepted by CIKM 2025 [CCF-B].
2025.09: 🎉🎉 Awarded ACM SIGMOD China Doctoral Dissertation Award.
2025.07: 🎉🎉 Awarded the 2025 Outstanding Doctoral Dissertation by the CCF Technical Committee on Information Systems.
2025.02: 🎉🎉 We have one paper accepted by SIGMOD 2025 [CCF-A].
2024.06: 🎉🎉 We have one paper accepted by VLDB 2024 [CCF-A].
2023.08: 🎉🎉 We have one paper accepted by SIGMOD 2024 [CCF-A].
2021.11: 🎉🎉 We have one paper accepted by ICDE 2022 [CCF-A].

📖 Educations

2019.09 - 2025.01, Computer Science and Technology, Doctoral Degree, Northeastern University, Shenyang, China.
2022.11 - 2023.01, Computer Science , Joint Training Program, Aalborg University, Aalborg, Denmark.
2017.09 - 2019.06, Computer Software and Theory, Master’s Degree, Northeastern University, Shenyang, China.
2013.09 - 2017.06, Computer Science and Technology, Bachelor’s Degree, Northeastern University, Shenyang, China.

📝 Publications

FastGNAS: Accelerating and Scaling Graph Neural Architecture Search on Multi-GPUs via Ring-Based Model Migration. Zhen Song, Hao Li, Tianyi Li, Yu Gu, Yushuai Li, Yanfeng Zhang, Christian S. Jensen, Lizhen Cui, Ge Yu. SIGMOD 2026. [CCF-A].
SWASH: A Flexible Communication Framework with Sliding Window-Based Cache Sharing for Scalable DGNN Training. Zhen Song, Yu Gu, Tianyi Li, Yushuai Li, Qing Sun, Yanfeng Zhang, Christian S. Jensen, Ge Yu. SIGMOD 2025. [CCF-A].
DynaHB: A Communication-Avoiding Asynchronous Distributed Framework with Hybrid Batches for Dynamic GNN Training. Zhen Song, Yu Gu, Qing Sun, Tianyi Li, Yanfeng Zhang, Yushuai Li, Christian S. Jensen, Ge Yu. VLDB 2024. [CCF-A].
ADGNN: Towards Scalable GNN Training with Aggregation-Difference Aware Sampling. Zhen Song, Yu Gu, Tianyi Li, Qing Sun, Yanfeng Zhang, Christian S. Jensen, Ge Yu. SIGMOD 2024. [CCF-A].
EC-Graph: A Distributed Graph Neural Network System with Error-Compensated Compression. Zhen Song, Yu Gu, Jianzhong Qi, Zhigang Wang, Ge Yu. ICDE 2022. [CCF-A].
DRPS: efficient disk-resident parameter servers for distributed machine learning. Zhen Song, Yu Gu, Zhigang Wang, Ge Yu. Frontiers of Computer Science (FCS) 2022. [CCF-B].
Distributed Hypergraph Processing Using Intersection Graphs. Yu Gu, Kaiqiang Yu, Zhen Song, Jianzhong Qi, Zhigang Wang, Ge Yu, Rui Zhang. IEEE Transactions on Knowledge and Data Engineering 2022. [CCF-A].
LCHGNN: Towards Distributed Hypergraph Neural Network Training Based on Communication Graphs with Lightweight Communication Optimization. Taibo Wang, Yu Gu, Xinning Cui, Zhen Song, Xiaohua Li, Fangfang Li. CIKM 2025. [CCF-B].
PLRF:A Personalized Learning Recommendation Framework Based on Federated Knowledge Graphs. Yipeng Teng, Tiantian Yu, Gang Wang, Zhen Song, Jiajia Li, Bing Hu. DASFAA 2026. [CCF-B].
Ponzitracker: A General Detection Framework for Ponzi Scheme in Blockchains. Gang Wang, Yipeng Teng, Zhen Song, Leyang Li, Qinnan Zhang, Qingbo Zhang, Yanfeng Zhang, Ge Yu. DASFAA 2026. [CCF-B].
IncreGNN: Incremental Graph Neural Network Learning by Considering Node and Parameter Importance. Di Wei, Yu Gu, Yumeng Song, Zhen Song, Fangfang Li, Ge Yu. Dasfaa 2022. [CCF-B].

🎖 Honors and Awards

National Scholarship for Doctoral Students, 2022
CCF Information Systems Outstanding PhD Dissertation, 2025
ACM SIGMOD China Doctoral Dissertation Award, 2025