1 citations · 1 across the 8 of their papers we have counts for
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FreSH: Frequency-Segmented Hierarchical Multi-Expert Framework for Multivariate Time Series Classification
Pingping Liu, Muyao Wang, Zijian Zhang +5
Multivariate Time Series Classification (MTSC) demands models that can effectively capture complex temporal patterns across multiple scales while remaining computationally efficien…
Refining Multidimensional Video Reward Models via Disentangled Influence Functions
Muyao Wang, Zeke Xie, Hideki Nakayama
As Text-to-Video (T2V) generation models continue to evolve, the complexity of video evaluation necessitates a fine-grained assessment across various axes. To address this, recent…
Treating Brain-inspired Memories as Priors for Diffusion Model to Forecast Multivariate Time Series
Muyao Wang, Wenchao Chen, Zhibin Duan +1
Forecasting Multivariate Time Series (MTS) involves significant challenges in various application domains. One immediate challenge is modeling temporal patterns with the finite len…
A Non-negative VAE:the Generalized Gamma Belief Network
Zhibin Duan, Tiansheng Wen, Muyao Wang +2
The gamma belief network (GBN), often regarded as a deep topic model, has demonstrated its potential for uncovering multi-layer interpretable latent representations in text data. I…
Channel Matters: Estimating Channel Influence for Multivariate Time Series
Muyao Wang, Zeke Xie, Bo Chen +2
The influence function serves as an efficient post-hoc interpretability tool that quantifies the impact of training data modifications on model parameters, enabling enhanced model…
Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting
Muyao Wang, Wenchao Chen, Bo Chen
The forecasting of Multivariate Time Series (MTS) has long been an important but challenging task. Due to the non-stationary problem across long-distance time steps, previous studi…