Dingheng Mo

According to our database, Dingheng Mo authored at least 6 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads.

Dingheng Mo, Fanchao Chen, Siqiang Luo, Caihua Shan

Proc. ACM Manag. Data, September, 2023

Single-Source Personalized PageRanks With Workload Robustness.

Dingheng Mo, Siqiang Luo

IEEE Trans. Knowl. Data Eng., June, 2023

Example Searcher: A Spatial Query System via Example.

Jun Xuan Yew, Ningyi Liao, Dingheng Mo, Siqiang Luo

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization.

Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin

Proc. VLDB Endow., 2022

VC-Tune: Tuning and Exploring Distributed Vertex-Centric Graph Systems.

Zichen Zhu, Siqiang Luo, Xiaokui Xiao, Yin Yang, Dingheng Mo, Yufei Han

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Agenda: Robust Personalized PageRanks in Evolving Graphs.

Dingheng Mo, Siqiang Luo

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021