Search Results for author: Rujia Shen

Found 6 papers, 3 papers with code

Causal Discovery from Time-Series Data with Short-Term Invariance-Based Convolutional Neural Networks

1 code implementation15 Aug 2024 Rujia Shen, Boran Wang, Chao Zhao, Yi Guan, Jingchi Jiang

Causal discovery from time-series data aims to capture both intra-slice (contemporaneous) and inter-slice (time-lagged) causality between variables within the temporal chain, which is crucial for various scientific disciplines.

Causal Discovery Time Series

ProSpec RL: Plan Ahead, then Execute

no code implementations31 Jul 2024 Liangliang Liu, Yi Guan, Boran Wang, Rujia Shen, Yi Lin, Chaoran Kong, Lian Yan, Jingchi Jiang

Imagining potential outcomes of actions before execution helps agents make more informed decisions, a prospective thinking ability fundamental to human cognition.

Model Predictive Control Reinforcement Learning (RL)

Causal prompting model-based offline reinforcement learning

no code implementations3 Jun 2024 Xuehui Yu, Yi Guan, Rujia Shen, Xin Li, Chen Tang, Jingchi Jiang

To tackle these issues, we introduce the Causal Prompting Reinforcement Learning (CPRL) framework, designed for highly suboptimal and resource-constrained online scenarios.

model Offline RL +3

Blood Glucose Control Via Pre-trained Counterfactual Invertible Neural Networks

no code implementations23 May 2024 Jingchi Jiang, Rujia Shen, Boran Wang, Yi Guan

We use the pre-trained CINN as a frozen introspective block of the RL agent, which integrates forward prediction and counterfactual inference to guide the policy updates, promoting more stable and safer BG control.

counterfactual Counterfactual Inference +1

Deep-HOSeq: Deep Higher Order Sequence Fusion for Multimodal Sentiment Analysis

1 code implementation16 Oct 2020 Sunny Verma, Jiwei Wang, Zhefeng Ge, Rujia Shen, Fan Jin, Yang Wang, Fang Chen, Wei Liu

In this research, we first propose a common network to discover both intra-modal and inter-modal dynamics by utilizing basic LSTMs and tensor based convolution networks.

Multimodal Sentiment Analysis Sentiment Classification

Cannot find the paper you are looking for? You can Submit a new open access paper.