1 citations · 1 across the 4 of their papers we have counts for
4 papers
Set-Valued Transformer Network for High-Emission Mobile Source Identification
Yunning Cao, Lihong Pei, Jian Guo +3
Identifying high-emission vehicles is a crucial step in regulating urban pollution levels and formulating traffic emission reduction strategies. However, in practical monitoring da…
Scale-Disentangled spatiotemporal Modeling for Long-term Traffic Emission Forecasting
Yan Wu, Lihong Pei, Yukai Han +3
Long-term traffic emission forecasting is crucial for the comprehensive management of urban air pollution. Traditional forecasting methods typically construct spatiotemporal graph…
Learning Multi-view Multi-class Anomaly Detection
Qianzi Yu, Yang Cao, Yu Kang
The latest trend in anomaly detection is to train a unified model instead of training a separate model for each category. However, existing multi-class anomaly detection (MCAD) mod…
Benchmarking General-Purpose In-Context Learning
Fan Wang, Chuan Lin, Yang Cao +1
In-context learning (ICL) empowers generative models to address new tasks effectively and efficiently on the fly, without relying on any artificially crafted optimization technique…