activity
20202023
most citedOneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting

39 citations · 42 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2023★ 39 cited

OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting

Xiao He, Ye Li, Jian Tan +2

Seasonal-trend decomposition is one of the most fundamental concepts in time series analysis that supports various downstream tasks, including time series anomaly detection and for…

q-fin.CP2022★ 2 cited

Bi-LSTM Price Prediction based on Attention Mechanism

Jiashu Lou, Leyi Cui, Ye Li

With the increasing enrichment and development of the financial derivatives market, the frequency of transactions is also faster and faster. Due to human limitations, algorithms an…

eess.AS2020

Semi-Supervised NMF-CNN For Sound Event Detection

Chan Teck Kai, Chin Cheng Siong, Li Ye

In this paper, a combinative approach using Nonnegative Matrix Factorization (NMF) and Convolutional Neural Network (CNN) is proposed for audio clip Sound Event Detection (SED). Th…

eess.AS2020

Acoustic Scene Classification Using Bilinear Pooling on Time-liked and Frequency-liked Convolution Neural Network

Xing Yong Kek, Cheng Siong Chin, Ye Li

The current methodology in tackling Acoustic Scene Classification (ASC) task can be described in two steps, preprocessing of the audio waveform into log-mel spectrogram and then us…

cs.SD2020★ 1 cited

Non-Negative Matrix Factorization-Convolutional Neural Network (NMF-CNN) For Sound Event Detection

Teck Kai Chan, Cheng Siong Chin, Ye Li

The main scientific question of this year DCASE challenge, Task 4 - Sound Event Detection in Domestic Environments, is to investigate the types of data (strongly labeled synthetic…