273 citations · 347 across the 11 of their papers we have counts for
6 papers · 1 filter
Dynamic Causal Disentanglement Model for Dialogue Emotion Detection
Yuting Su, Yichen Wei, Weizhi Nie +2
Emotion detection is a critical technology extensively employed in diverse fields. While the incorporation of commonsense knowledge has proven beneficial for existing emotion detec…
Reinforcement Learning Based Multi-modal Feature Fusion Network for Novel Class Discovery
Qiang Li, Qiuyang Ma, Weizhi Nie +1
With the development of deep learning techniques, supervised learning has achieved performances surpassing those of humans. Researchers have designed numerous corresponding models…
MCDAN: a Multi-scale Context-enhanced Dynamic Attention Network for Diffusion Prediction
Xiaowen Wang, Lanjun Wang, Yuting Su +2
Information diffusion prediction aims at predicting the target users in the information diffusion path on social networks. Prior works mainly focus on the observed structure or seq…
Causal Disentanglement Hidden Markov Model for Fault Diagnosis
Rihao Chang, Yongtao Ma, Weizhi Nie +2
In modern industries, fault diagnosis has been widely applied with the goal of realizing predictive maintenance. The key issue for the fault diagnosis system is to extract represen…
Chest X-ray Image Classification: A Causal Perspective
Weizhi Nie, Chen Zhang, Dan Song +4
The chest X-ray (CXR) is one of the most common and easy-to-get medical tests used to diagnose common diseases of the chest. Recently, many deep learning-based methods have been pr…
Instrumental Variable Learning for Chest X-ray Classification
Weizhi Nie, Chen Zhang, Dan song +3
The chest X-ray (CXR) is commonly employed to diagnose thoracic illnesses, but the challenge of achieving accurate automatic diagnosis through this method persists due to the compl…