Dingheng Mo

17 papers A* 3A 1Journal 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
Aster: Enhancing LSM-structures for Scalable Graph Database.
CoRR
Dingheng Mo, Junfeng Liu, Fan Wang, Siqiang Luo
2025 J jnl
Aster: Enhancing LSM-structures for Scalable Graph Database.
Proc. ACM Manag. Data
Dingheng Mo, Junfeng Liu, Fan Wang, Siqiang Luo
2025 J jnl
Don't Forget Range Delete! Enhancing LSM-based Key-Value Stores with More Compatible Lookups and Deletes.
CoRR
Fan Wang, Dingheng Mo, Siqiang Luo
2025 J jnl
How to Grow an LSM-tree? Towards Bridging the Gap Between Theory and Practice.
CoRR
Dingheng Mo, Siqiang Luo, Stratos Idreos
2025 J jnl
How to Grow an LSM-tree? Towards Bridging the Gap Between Theory and Practice.
Proc. ACM Manag. Data
Dingheng Mo, Siqiang Luo, Stratos Idreos
2025 J jnl
LSM-VEC: A Large-Scale Disk-Based System for Dynamic Vector Search.
CoRR
Shurui Zhong, Dingheng Mo, Siqiang Luo
2024 A* conf
Personalized PageRanks over Dynamic Graphs - The Case for Optimizing Quality of Service.
ICDE
Zulun Zhu, Siqiang Luo, Wenqing Lin, Sibo Wang, Dingheng Mo, Chunbo Li
2024 J jnl
Scalable decoupling graph neural network with feature-oriented optimization.
VLDB J.
Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin
2024 J jnl
Structural Designs Meet Optimality: Exploring Optimized LSM-tree Structures in a Colossal Configuration Space.
Proc. ACM Manag. Data
Junfeng Liu, Fan Wang, Dingheng Mo, Siqiang Luo
2023 A* conf
Example Searcher: A Spatial Query System via Example.
ICDE
Jun Xuan Yew, Ningyi Liao, Dingheng Mo, Siqiang Luo
2023 J jnl
Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads.
CoRR
Dingheng Mo, Fanchao Chen, Siqiang Luo, Caihua Shan
2023 J jnl
Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads.
Proc. ACM Manag. Data
Dingheng Mo, Fanchao Chen, Siqiang Luo, Caihua Shan
2023 J jnl
Single-Source Personalized PageRanks With Workload Robustness.
IEEE Trans. Knowl. Data Eng.
Dingheng Mo, Siqiang Luo
2022 J jnl
SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization.
CoRR
Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin
2022 J jnl
SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization.
Proc. VLDB Endow.
Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin
2022 A* conf
VC-Tune: Tuning and Exploring Distributed Vertex-Centric Graph Systems.
ICDE
Zichen Zhu, Siqiang Luo, Xiaokui Xiao, Yin Yang, Dingheng Mo, Yufei Han
2021 A conf
Agenda: Robust Personalized PageRanks in Evolving Graphs.
CIKM
Dingheng Mo, Siqiang Luo