Publications

• Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads
  Dingheng Mo, Fanchao Chen, Siqiang Luo, Caihua Shan
  SIGMOD 2024 (Paper)

• Structural Designs Meet Optimality: Exploring Optimized LSM-tree Structures in A Colossal Configuration Space
  Junfeng Liu*, Fan Wang*, Dingheng Mo, Siqiang Luo (*equal contribution)
  SIGMOD 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
  ICDE 2024 (Paper)

• Scalable Decoupling Graph Neural Network with Feature-Oriented Optimization
  Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin
  VLDBJ 2024 (Paper)

• Example Searcher: A Spatial Query System via Example
  Jun Xuan Yew, Ningyi Liao, Dingheng Mo, Siqiang Luo
  ICDE 2023 (Demo Paper)

• SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization
  Ningyi Liao*, Dingheng Mo*, Siqiang Luo, Xiang Li, Pengcheng Yin (*equal contribution)
  PVLDB 2022 (Paper)

• VC-Tune: Tuning and Exploring Distributed Vertex-Centric Graph Systems
  Zichen Zhu, Siqiang Luo, Xiaokui Xiao, Yin Yang, Dingheng Mo, Yufei Han
  ICDE 2022 (Demo Paper)

• Single-Source Personalized PageRanks with Workload Robustness
  Dingheng Mo, Siqiang Luo
  TKDE 2022 (Paper)

• Agenda: Robust Personalized PageRanks in Evolving Graphs
  Dingheng Mo, Siqiang Luo
  CIKM 2021 (Paper)