18 citations · 45 across the 13 of their papers we have counts for
13 papers
Lightweight-Yet-Efficient: Revitalizing Ball-Tree for Point-to-Hyperplane Nearest Neighbor Search
Qiang Huang, Anthony K. H. Tung
Finding the nearest neighbor to a hyperplane (or Point-to-Hyperplane Nearest Neighbor Search, simply P2HNNS) is a new and challenging problem with applications in many research dom…
SAH: Shifting-aware Asymmetric Hashing for Reverse -Maximum Inner Product Search
Qiang Huang, Yanhao Wang, Anthony K. H. Tung
This paper investigates a new yet challenging problem called Reverse -Maximum Inner Product Search (RMIPS). Given a query (item) vector, a set of item vectors, and a set of u…
The Metaverse Data Deluge: What Can We Do About It?
Beng Chin Ooi, Gang Chen, Mike Zheng Shou +5
In the Metaverse, the physical space and the virtual space co-exist, and interact simultaneously. While the physical space is virtually enhanced with information, the virtual space…
DIOT: Detecting Implicit Obstacles from Trajectories
Yifan Lei, Qiang Huang, Mohan Kankanhalli +1
In this paper, we study a new data mining problem of obstacle detection from trajectory data. Intuitively, given two kinds of trajectories, i.e., reference and query trajectories,…
A Generic Distributed Clustering Framework for Massive Data
Pingyi Luo, Qiang Huang, Anthony K. H. Tung
In this paper, we introduce a novel Generic distributEd clustEring frameworK (GEEK) beyond -means clustering to process massive amounts of data. To deal with different data type…
Modeling Spatial Nonstationarity via Deformable Convolutions for Deep Traffic Flow Prediction
Wei Zeng, Chengqiao Lin, Kang Liu +2
Deep neural networks are being increasingly used for short-term traffic flow prediction, which can be generally categorized as convolutional (CNNs) or graph neural networks (GNNs).…