30 citations · 37 across the 5 of their papers we have counts for
6 papers
An Update-intensive LSM-based R-tree Index
Jaewoo Shin, Jianguo Wang, Walid G. Aref
Many applications require update-intensive workloads on spatial objects, e.g., social-network services and shared-riding services that track moving objects. By buffering insert and…
The Case for Distributed Shared-Memory Databases with RDMA-Enabled Memory Disaggregation
Ruihong Wang, Jianguo Wang, Stratos Idreos +2
Memory disaggregation (MD) allows for scalable and elastic data center design by separating compute (CPU) from memory. With MD, compute and memory are no longer coupled into the sa…
The "AI+R"-tree: An Instance-optimized R-tree
Abdullah-Al-Mamun, Ch. Md. Rakin Haider, Jianguo Wang +1
The emerging class of instance-optimized systems has shown potential to achieve high performance by specializing to a specific data and query workloads. Particularly, Machine Learn…
Index-based, High-dimensional, Cosine Threshold Querying with Optimality Guarantees
Yuliang Li, Jianguo Wang, Benjamin Pullman +2
Given a database of vectors, a cosine threshold query returns all vectors in the database having cosine similarity to a query vector above a given threshold θ. These queries arise…
Data Compression for Analytics over Large-scale In-memory Column Databases
Chunbin Lin, Jianguo Wang, Yannis Papakonstantinou
Data compression schemes have exhibited their importance in column databases by contributing to the high-performance OLAP (Online Analytical Processing) query processing. Existing…
Sherlock: Sparse Hierarchical Embeddings for Visually-aware One-class Collaborative Filtering
Ruining He, Chunbin Lin, Jianguo Wang +1
Building successful recommender systems requires uncovering the underlying dimensions that describe the properties of items as well as users' preferences toward them. In domains li…