4 citations · 7 across the 4 of their papers we have counts for
4 papers
GUITAR: Gradient Pruning toward Fast Neural Ranking
Weijie Zhao, Shulong Tan, Ping Li
With the continuous popularity of deep learning and representation learning, fast vector search becomes a vital task in various ranking/retrieval based applications, say recommenda…
Constrained Approximate Similarity Search on Proximity Graph
Weijie Zhao, Shulong Tan, Ping Li
Search engines and recommendation systems are built to efficiently display relevant information from those massive amounts of candidates. Typically a three-stage mechanism is emplo…
Asymmetric Hashing for Fast Ranking via Neural Network Measures
Khoa Doan, Shulong Tan, Weijie Zhao +1
Fast item ranking is an important task in recommender systems. In previous works, graph-based Approximate Nearest Neighbor (ANN) approaches have demonstrated good performance on it…
Proximity Graph Maintenance for Fast Online Nearest Neighbor Search
Zhaozhuo Xu, Weijie Zhao, Shulong Tan +2
Approximate Nearest Neighbor (ANN) search is a fundamental technique for (e.g.,) the deployment of recommender systems. Recent studies bring proximity graph-based methods into prac…