Dingheng Mo

According to our database, Dingheng Mo authored at least 9 papers between 2021 and 2024.

Collaborative distances:

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

2024

Scalable decoupling graph neural network with feature-oriented optimization.

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

VLDB J., May, 2024

Structural Designs Meet Optimality: Exploring Optimized LSM-tree Structures in a Colossal Configuration Space.

Junfeng Liu, Fan Wang, Dingheng Mo, Siqiang Luo

Proc. ACM Manag. Data, 2024

Personalized PageRanks over Dynamic Graphs - The Case for Optimizing Quality of Service.

Zulun Zhu, Siqiang Luo, Wenqing Lin, Sibo Wang, Dingheng Mo, Chunbo Li

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

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