Zepu Wang — accepted AI-conference papers

2025

Uncertainty-Aware Crime Prediction With Spatial Temporal Multivariate Graph Neural Networks

Zepu Wang, Xiaobo Ma, Huajie Yang, Weimin Lyu, Yang Liu, Peng Sun +1

ICASSP 2025accepted

Crime prediction (CP) plays a pivotal role in urban analytics, contributing significantly to personal safety and societal stability. Unlike conventional time series forecasting, CP faces unique difficulties due to the inherent sparsity of crime incidents, particularly within small spatial regions an…

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2025

Unlocking the Power of LSTM for Long Term Time Series Forecasting

Yaxuan Kong, Zepu Wang, Yuqi Nie, Tian Zhou, Stefan Zohren, Yuxuan Liang +2

AAAI 2025technical

Traditional recurrent neural network architectures, such as long short-term memory neural networks (LSTM), have historically held a prominent role in time series forecasting (TSF) tasks. While the recently introduced sLSTM for Natural Language Processing (NLP) introduces exponential gating and memor…

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