Shanshan Huang

According to our database, Shanshan Huang authored at least 9 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Controllable image generation based on causal representation learning.

Shanshan Huang, Yuanhao Wang, Zhili Gong, Jun Liao, Shu Wang, Li Liu

Frontiers Inf. Technol. Electron. Eng., January, 2024

Finding score-based representative samples for cancer risk prediction.

Jun Liao, Hao Luo, Xuewen Yan, Ting Ye, Shanshan Huang, Li Liu

Pattern Recognit., 2024

Multi-attentional causal intervention networks for medical image diagnosis.

Shanshan Huang, Lei Wang, Jun Liao, Li Liu

Knowl. Based Syst., 2024

A survey of causal discovery based on functional causal model.

Lei Wang, Shanshan Huang, Shu Wang, Jun Liao, Tingpeng Li, Li Liu

Eng. Appl. Artif. Intell., 2024

Recognizing Cognitive Load by a Multi-instance Causal Learning Model from Multi-channel Physiological Data.

Zhengyang Li, Shanshan Huang, Jiawei Liu, Laiming Jiang, Shen Chen, Yi Zhang, Jun Liao, Shu Wang, Li Liu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023

A review of wearable sensors based fall-related recognition systems.

Jiawei Liu, Xiaohu Li, Shanshan Huang, Rui Chao, Zhidong Cao, Shu Wang, Aiguo Wang, Li Liu

Eng. Appl. Artif. Intell., May, 2023

Counterfactual-based minority oversampling for imbalanced classification.

Shu Wang, Hao Luo, Shanshan Huang, Qingsong Li, Li Liu, Guoxin Su, Ming Liu

Eng. Appl. Artif. Intell., 2023

Pareto Invariant Representation Learning for Multimedia Recommendation.

Shanshan Huang, Haoxuan Li, Qingsong Li, Chunyuan Zheng, Li Liu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Score-based causal feature selection for cancer risk prediction.

Shanshan Huang, Qingsong Li, Lei Wang, Yuanhao Wang, Li Liu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023