252 citations · 273 across the 6 of their papers we have counts for
6 papers
Mind the Gap: Revealing Inconsistencies Across Heterogeneous AI Accelerators
Elliott Wen, Sean Ma, Ewan Tempero +8
While NVIDIA remains the dominant provider of AI accelerators within cloud data center, emerging vendors such as AMD, Intel, Mac, and Huawei offer cost-effective alternatives with…
GETNext: Trajectory Flow Map Enhanced Transformer for Next POI Recommendation
Song Yang, Jiamou Liu, Kaiqi Zhao
Next POI recommendation intends to forecast users' immediate future movements given their current status and historical information, yielding great values for both users and servic…
USER: Unsupervised Structural Entropy-based Robust Graph Neural Network
Yifei Wang, Yupan Wang, Zeyu Zhang +3
Unsupervised/self-supervised graph neural networks (GNN) are vulnerable to inherent randomness in the input graph data which greatly affects the performance of the model in downstr…
WISK: A Workload-aware Learned Index for Spatial Keyword Queries
Yufan Sheng, Xin Cao, Yixiang Fang +4
Spatial objects often come with textual information, such as Points of Interest (POIs) with their descriptions, which are referred to as geo-textual data. To retrieve such data, sp…
Space Meets Time: Local Spacetime Neural Network For Traffic Flow Forecasting
Song Yang, Jiamou Liu, Kaiqi Zhao
Traffic flow forecasting is a crucial task in urban computing. The challenge arises as traffic flows often exhibit intrinsic and latent spatio-temporal correlations that cannot be…
BAARD: Blocking Adversarial Examples by Testing for Applicability, Reliability and Decidability
Xinglong Chang, Katharina Dost, Kaiqi Zhao +4
Adversarial defenses protect machine learning models from adversarial attacks, but are often tailored to one type of model or attack. The lack of information on unknown potential a…