Agenda: Robust Personalized PageRanks in Evolving Graphs. - Dingheng Mo; Siqiang Luo (CIKM, 2021)

VC-Tune: Tuning and Exploring Distributed Vertex-Centric Graph Systems. - Zichen Zhu; Siqiang Luo; Xiaokui Xiao; Yin Yang 001; Dingheng Mo; Yufei Han (ICDE, 2022)

SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization. - Ningyi Liao; Dingheng Mo; Siqiang Luo; Xiang Li 067; Pengcheng Yin (Proc. VLDB Endow., 2022)

Example Searcher: A Spatial Query System via Example. - Jun Xuan Yew; Ningyi Liao; Dingheng Mo; Siqiang Luo (ICDE, 2023)

Single-Source Personalized PageRanks With Workload Robustness. - Dingheng Mo; Siqiang Luo (IEEE Trans. Knowl. Data Eng., 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, 2023)

Personalized PageRanks over Dynamic Graphs - The Case for Optimizing Quality of Service. - Zulun Zhu; Siqiang Luo; Wenqing Lin; Sibo Wang 001; Dingheng Mo; Chunbo Li (ICDE, 2024)

Structural Designs Meet Optimality: Exploring Optimized LSM-tree Structures in a Colossal Configuration Space. - Junfeng Liu 001; Fan Wang 022; Dingheng Mo; Siqiang Luo (Proc. ACM Manag. Data, 2024)

Scalable decoupling graph neural network with feature-oriented optimization. - Ningyi Liao; Dingheng Mo; Siqiang Luo; Xiang Li 067; Pengcheng Yin (VLDB J., 2024)

Aster: Enhancing LSM-structures for Scalable Graph Database. - Dingheng Mo; Junfeng Liu 001; Fan Wang 022; Siqiang Luo (Proc. ACM Manag. Data, 2025)

LSM-VEC: A Large-Scale Disk-Based System for Dynamic Vector Search. - Shurui Zhong; Dingheng Mo; Siqiang Luo (CoRR, 2025)

How to Grow an LSM-tree? Towards Bridging the Gap Between Theory and Practice. - Dingheng Mo; Siqiang Luo; Stratos Idreos (Proc. ACM Manag. Data, 2025)