Shanshan Huang

According to our database, Shanshan Huang authored at least 21 papers between 2023 and 2026.

Collaborative distances:

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

2026

Learning generalizable visual representations with causal diffusion model for controllable editing.

Shanshan Huang, Lei Wang, Haoxuan Chen, Yuxuan Liang, Li Liu

Pattern Recognit., 2026

Predicting prostate cancer risks by a deep causal learning network from magnetic resonance imaging images.

Li Liu, Shanshan Huang, Jiaxin Wu, Shu Wang, Shuang Qian, Lei Wang, Fayadh Alenezi, Xianping Zhang, Jun Liao, Kemal Polat, Qing Tao

Inf. Sci., 2026

Measuring cognitive load by a score-based causal network model with multichannel physiological signals.

Li Liu, Qiwen Pang, Shanshan Huang, Laiming Jiang, Shu Wang, Guang Wu, Guoxin Su, Qing Tao

Neurocomputing, 2026

DualAttendMed: A coarse-to-fine dual-stage attention framework for interpretable disease localization and classification.

Junaid Abbas, Danyal Badar Soomro, Shanshan Huang, Li Liu

Expert Syst. Appl., 2026

Identifying non-small cell lung cancer subtypes by a hybrid representative causal network with computed tomography images.

Li Liu, Xueying Wang, Shanshan Huang, Zhengqiao Deng, Shu Wang, Guang Wu, Donglai Yang, Sixi Zha, Guoxin Su, Qing Tao

Eng. Appl. Artif. Intell., 2026

2025

CDSF: A curvature-driven semi-supervised framework with dynamic receptive fields for fine-grained vehicle component segmentation.

Zhili Gong, Chunyuan Zheng, Shanshan Huang, Huayi Yang, Guoxin Su, Li Liu

Knowl. Based Syst., 2025

CAP: Causal Air Quality Index Prediction Under Interference with Unmeasured Confounding.

Huayi Yang, Chunyuan Zheng, Guorui Liao, Shanshan Huang, Jun Liao, Zhili Gong, Haoxuan Li, Li Liu

Proceedings of the ACM on Web Conference 2025, 2025

Mitigating Data Imbalance in Time Series Classification Based on Counterfactual Minority Samples Augmentation.

Lei Wang, Shanshan Huang, Chunyuan Zheng, Jun Liao, Xiaofei Zhu, Haoxuan Li, Li Liu

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Visual Representation Learning through Causal Intervention for Controllable Image Editing.

Shanshan Huang, Haoxuan Li, Chunyuan Zheng, Lei Wang, Guorui Liao, Zhili Gong, Huayi Yang, Li Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Text-Driven Fashion Image Editing with Compositional Concept Learning and Counterfactual Abduction.

Shanshan Huang, Haoxuan Li, Chunyuan Zheng, Mingyuan Ge, Wei Gao, Lei Wang, Li Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

HiPoser: 3D Human Pose Estimation with Hierarchical Shared Learning at Parts-Level Using Inertial Measurement Units.

Guorui Liao, Chunyuan Zheng, Li Cheng, Haoyu Xie, Shanshan Huang, Jun Liao, Haoxuan Li, Li Liu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Controllable image synthesis methods, applications and challenges: a comprehensive survey.

Shanshan Huang, Qingsong Li, Jun Liao, Shu Wang, Li Liu, Lian Li

Artif. Intell. Rev., November, 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