Publications (14)
Change Propagation Without Joins
Qichen Wang, Xiao Hu, Binyang Dai +1
We revisit the classical change propagation framework for query evaluation under updates. The standard framework takes a query plan and materializes the intermediate views, which i…
A Methodological Analysis of Empirical Studies in Quantum Software Testing
Yuechen Li, Minqi Shao, Jianjun Zhao +1
In quantum software engineering (QSE), quantum software testing (QST) has attracted increasing attention as quantum software systems grow in scale and complexity. Since QST evaluat…
Effective Clustering on Large Attributed Bipartite Graphs
Renchi Yang, Yidu Wu, Xiaoyang Lin +3
Attributed bipartite graphs (ABGs) are an expressive data model for describing the interactions between two sets of heterogeneous nodes that are associated with rich attributes, su…
Multi-agent Reinforcement Learning for Energy Saving in Multi-Cell Massive MIMO Systems
Tianzhang Cai, Qichen Wang, Shuai Zhang +2
We develop a multi-agent reinforcement learning (MARL) algorithm to minimize the total energy consumption of multiple massive MIMO (multiple-input multiple-output) base stations (B…
Succinct Structure Representations for Efficient Query Optimization
Zhekai Jiang, Qichen Wang, Christoph Koch
Structural decomposition methods offer powerful theoretical guarantees for join evaluation, yet they are rarely used in real-world query optimizers. A major reason is the difficult…
Towards Parameterized Hardness on Maintaining Conjunctive Queries
Qichen Wang
We investigate the fine-grained complexity of dynamically maintaining the result of fixed self-join free conjunctive queries under single-tuple updates. Prior work shows that free-…