Shanshan Huang

22 papers A* 5A 2Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
DualAttendMed: A coarse-to-fine dual-stage attention framework for interpretable disease localization and classification.
Expert Syst. Appl.
Junaid Abbas, Danyal Badar Soomro, Shanshan Huang, Li Liu
2026 J jnl
Identifying non-small cell lung cancer subtypes by a hybrid representative causal network with computed tomography images.
Eng. Appl. Artif. Intell.
Li Liu, Xueying Wang, Shanshan Huang, Zhengqiao Deng, Shu Wang, Guang Wu, Donglai Yang, Sixi Zha, Guoxin Su, Qing Tao
2026 J jnl
Learning generalizable visual representations with causal diffusion model for controllable editing.
Pattern Recognit.
Shanshan Huang, Lei Wang, Haoxuan Chen, Yuxuan Liang, Li Liu
2026 J jnl
Measuring cognitive load by a score-based causal network model with multichannel physiological signals.
Neurocomputing
Li Liu, Qiwen Pang, Shanshan Huang, Laiming Jiang, Shu Wang, Guang Wu, Guoxin Su, Qing Tao
2026 J jnl
Predicting prostate cancer risks by a deep causal learning network from magnetic resonance imaging images.
Inf. Sci.
Li Liu, Shanshan Huang, Jiaxin Wu, Shu Wang, Shuang Qian, Lei Wang, Fayadh Alenezi, Xianping Zhang, Jun Liao, Kemal Polat, Qing Tao
2025 A* conf
CAP: Causal Air Quality Index Prediction Under Interference with Unmeasured Confounding.
WWW
Huayi Yang, Chunyuan Zheng, Guorui Liao, Shanshan Huang, Jun Liao, Zhili Gong, Haoxuan Li, Li Liu
2025 J jnl
CDSF: A curvature-driven semi-supervised framework with dynamic receptive fields for fine-grained vehicle component segmentation.
Knowl. Based Syst.
Zhili Gong, Chunyuan Zheng, Shanshan Huang, Huayi Yang, Guoxin Su, Li Liu
2025 A* conf
HiPoser: 3D Human Pose Estimation with Hierarchical Shared Learning at Parts-Level Using Inertial Measurement Units.
AAAI
Guorui Liao, Chunyuan Zheng, Li Cheng, Haoyu Xie, Shanshan Huang, Jun Liao, Haoxuan Li, Li Liu
2025 — conf
Mitigating Data Imbalance in Time Series Classification Based on Counterfactual Minority Samples Augmentation.
KDD (2)
Lei Wang, Shanshan Huang, Chunyuan Zheng, Jun Liao, Xiaofei Zhu, Haoxuan Li, Li Liu
2025 A* conf
Text-Driven Fashion Image Editing with Compositional Concept Learning and Counterfactual Abduction.
CVPR
Shanshan Huang, Haoxuan Li, Chunyuan Zheng, Mingyuan Ge, Wei Gao, Lei Wang, Li Liu
2025 A* conf
Visual Representation Learning through Causal Intervention for Controllable Image Editing.
CVPR
Shanshan Huang, Haoxuan Li, Chunyuan Zheng, Lei Wang, Guorui Liao, Zhili Gong, Huayi Yang, Li Liu
2024 J jnl
A survey of causal discovery based on functional causal model.
Eng. Appl. Artif. Intell.
Lei Wang, Shanshan Huang, Shu Wang, Jun Liao, Tingpeng Li, Li Liu
2024 J jnl
Controllable image generation based on causal representation learning.
Frontiers Inf. Technol. Electron. Eng.
Shanshan Huang, Yuanhao Wang, Zhili Gong, Jun Liao, Shu Wang, Li Liu
2024 J jnl
Controllable image synthesis methods, applications and challenges: a comprehensive survey.
Artif. Intell. Rev.
Shanshan Huang, Qingsong Li, Jun Liao, Shu Wang, Li Liu, Lian Li
2024 J jnl
Finding score-based representative samples for cancer risk prediction.
Pattern Recognit.
Jun Liao, Hao Luo, Xuewen Yan, Ting Ye, Shanshan Huang, Li Liu
2024 J jnl
Multi-attentional causal intervention networks for medical image diagnosis.
Knowl. Based Syst.
Shanshan Huang, Lei Wang, Jun Liao, Li Liu
2024 A conf
Recognizing Cognitive Load by a Multi-instance Causal Learning Model from Multi-channel Physiological Data.
ICME
Zhengyang Li, Shanshan Huang, Jiawei Liu, Laiming Jiang, Shen Chen, Yi Zhang, Jun Liao, Shu Wang, Li Liu
2023 J jnl
A review of wearable sensors based fall-related recognition systems.
Eng. Appl. Artif. Intell.
Jiawei Liu, Xiaohu Li, Shanshan Huang, Rui Chao, Zhidong Cao, Shu Wang, Aiguo Wang, Li Liu
2023 J jnl
Counterfactual-based minority oversampling for imbalanced classification.
Eng. Appl. Artif. Intell.
Shu Wang, Hao Luo, Shanshan Huang, Qingsong Li, Li Liu, Guoxin Su, Ming Liu
2023 A* conf
Pareto Invariant Representation Learning for Multimedia Recommendation.
ACM Multimedia
Shanshan Huang, Haoxuan Li, Qingsong Li, Chunyuan Zheng, Li Liu
2023 J jnl
Pareto Invariant Representation Learning for Multimedia Recommendation.
CoRR
Shanshan Huang, Haoxuan Li, Qingsong Li, Chunyuan Zheng, Li Liu
2023 A conf
Score-based causal feature selection for cancer risk prediction.
ICME
Shanshan Huang, Qingsong Li, Lei Wang, Yuanhao Wang, Li Liu