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2020 – today
- 2024
[j5]Junfeng Liu
, Fan Wang, Dingheng Mo, Siqiang Luo:
Structural Designs Meet Optimality: Exploring Optimized LSM-tree Structures in a Colossal Configuration Space. Proc. ACM Manag. Data 2(3): 175 (2024)- [j4]Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin:
Scalable decoupling graph neural network with feature-oriented optimization. VLDB J. 33(3): 667-683 (2024) - [c4]Zulun Zhu, Siqiang Luo, Wenqing Lin, Sibo Wang, Dingheng Mo, Chunbo Li:
Personalized PageRanks over Dynamic Graphs - The Case for Optimizing Quality of Service. ICDE 2024: 409-422 - 2023
- [j3]Dingheng Mo, Fanchao Chen, Siqiang Luo, Caihua Shan:
Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads. Proc. ACM Manag. Data 1(3): 213:1-213:25 (2023) - [j2]Dingheng Mo, Siqiang Luo:
Single-Source Personalized PageRanks With Workload Robustness. IEEE Trans. Knowl. Data Eng. 35(6): 6320-6334 (2023) - [c3]Jun Xuan Yew, Ningyi Liao, Dingheng Mo, Siqiang Luo:
Example Searcher: A Spatial Query System via Example. ICDE 2023: 3635-3638 - [i2]Dingheng Mo, Fanchao Chen, Siqiang Luo, Caihua Shan:
Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads. CoRR abs/2308.07013 (2023) - 2022
- [j1]Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin:
SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization. Proc. VLDB Endow. 15(11): 3240-3248 (2022) - [c2]Zichen Zhu, Siqiang Luo, Xiaokui Xiao, Yin Yang, Dingheng Mo, Yufei Han:
VC-Tune: Tuning and Exploring Distributed Vertex-Centric Graph Systems. ICDE 2022: 3142-3145 - [i1]Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin:
SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization. CoRR abs/2207.09179 (2022) - 2021
- [c1]Dingheng Mo, Siqiang Luo:
Agenda: Robust Personalized PageRanks in Evolving Graphs. CIKM 2021: 1315-1324
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