7 citations · 17 across the 9 of their papers we have counts for
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cs.LG2022★ 1 cited
AutoTS: Automatic Time Series Forecasting Model Design Based on Two-Stage Pruning
Chunnan Wang, Xingyu Chen, Chengyue Wu +1
Automatic Time Series Forecasting (TSF) model design which aims to help users to efficiently design suitable forecasting model for the given time series data scenarios, is a novel…
cs.LG2022★ 2 cited
AutoMC: Automated Model Compression based on Domain Knowledge and Progressive search strategy
Chunnan Wang, Hongzhi Wang, Xiangyu Shi
Model compression methods can reduce model complexity on the premise of maintaining acceptable performance, and thus promote the application of deep neural networks under resource…
cs.LG2022
TPAD: Identifying Effective Trajectory Predictions Under the Guidance of Trajectory Anomaly Detection Model
Chunnan Wang, Chen Liang, Xiang Chen +1
Trajectory Prediction (TP) is an important research topic in computer vision and robotics fields. Recently, many stochastic TP models have been proposed to deal with this problem a…