2025
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 Systems With Applications 2025
DualAttendMed proposes a coarse-to-fine dual-stage attention framework for interpretable disease localization and classification, enabling accurate prediction while providing clinically meaningful visual explanations.
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 Systems With Applications 2025
DualAttendMed proposes a coarse-to-fine dual-stage attention framework for interpretable disease localization and classification, enabling accurate prediction while providing clinically meaningful visual explanations.
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 2025
A score-based causal network model for measuring cognitive load using multichannel physiological signals.
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 2025
A score-based causal network model for measuring cognitive load using multichannel physiological signals.
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
Knowledge-Based Systems 2025
We propose CDSF, a curvature-driven semi-supervised framework with dynamic receptive fields designed for fine-grained vehicle component segmentation. Published in Knowledge-Based Systems (KBS).
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
Knowledge-Based Systems 2025
We propose CDSF, a curvature-driven semi-supervised framework with dynamic receptive fields designed for fine-grained vehicle component segmentation. Published in Knowledge-Based Systems (KBS).
Mitigating Data Imbalance in Time Series Classification Based on Counterfactual Minority Samples Augmentation
Lei Wang, Shanshan Huang, Chunyuan Zheng, Jun Liao, Haoxuan Li, Li Liu
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2025
This paper addresses data imbalance in time series classification via counterfactual minority sample augmentation.
Mitigating Data Imbalance in Time Series Classification Based on Counterfactual Minority Samples Augmentation
Lei Wang, Shanshan Huang, Chunyuan Zheng, Jun Liao, Haoxuan Li, Li Liu
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2025
This paper addresses data imbalance in time series classification via counterfactual minority sample augmentation.
Visual Representation Learning through Causal Intervention for Controllable Image Editing
Shanshan Huang, Haoxuan Li, Chunyuan Zheng, Lei Wang, Guorui Liao, Huayi Yang, Li Liu
CVPR 2025
This paper proposes a causal intervention-based representation learning method for controllable image editing. Accepted as a CVPR 2025 Highlight paper (top 2.9%).
Visual Representation Learning through Causal Intervention for Controllable Image Editing
Shanshan Huang, Haoxuan Li, Chunyuan Zheng, Lei Wang, Guorui Liao, Huayi Yang, Li Liu
CVPR 2025
This paper proposes a causal intervention-based representation learning method for controllable image editing. Accepted as a CVPR 2025 Highlight paper (top 2.9%).
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
CVPR 2025
We propose a novel text-driven framework that integrates compositional concept learning and counterfactual abduction for fashion image editing. Accepted at CVPR 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
CVPR 2025
We propose a novel text-driven framework that integrates compositional concept learning and counterfactual abduction for fashion image editing. Accepted at CVPR 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
The Web Conference (WWW) 2025
A causal model for air quality index prediction under interference and unmeasured confounding.
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
The Web Conference (WWW) 2025
A causal model for air quality index prediction under interference and unmeasured confounding.
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
AAAI Conference on Artificial Intelligence (AAAI) 2025
A novel hierarchical shared learning approach for 3D human pose estimation using IMUs.
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
AAAI Conference on Artificial Intelligence (AAAI) 2025
A novel hierarchical shared learning approach for 3D human pose estimation using IMUs.
2024
Controllable Image Synthesis Methods, Applications and Challenges: A Comprehensive Survey
Shanshan Huang, Qingsong Li, Jun Liao, Shu Wang, Li Liu, Lian Li
Artificial Intelligence Review 2024
A comprehensive survey on controllable image synthesis methods, applications and challenges.
Controllable Image Synthesis Methods, Applications and Challenges: A Comprehensive Survey
Shanshan Huang, Qingsong Li, Jun Liao, Shu Wang, Li Liu, Lian Li
Artificial Intelligence Review 2024
A comprehensive survey on controllable image synthesis methods, applications and challenges.
Recognizing Cognitive Load by a Multi-instance Causal Learning Model from Multi-channel Physiological Data
Zhengyang Li, Shanshan Huang, Qingsong Li, et al.
IEEE International Conference on Multimedia and Expo (ICME) 2024
A multi-instance causal learning model for cognitive load recognition using multi-channel physiological data.
Recognizing Cognitive Load by a Multi-instance Causal Learning Model from Multi-channel Physiological Data
Zhengyang Li, Shanshan Huang, Qingsong Li, et al.
IEEE International Conference on Multimedia and Expo (ICME) 2024
A multi-instance causal learning model for cognitive load recognition using multi-channel physiological data.
Evaluation Criteria for Causal Discovery Without Ground-truth Graphs
Lei Wang, Shanshan Huang, Jun Liao, Li Liu
Pacific Causal Inference Conference 2024
Proposes evaluation criteria for causal discovery methods in the absence of ground-truth graphs.
Evaluation Criteria for Causal Discovery Without Ground-truth Graphs
Lei Wang, Shanshan Huang, Jun Liao, Li Liu
Pacific Causal Inference Conference 2024
Proposes evaluation criteria for causal discovery methods in the absence of ground-truth graphs.
Finding Score-based Representative Samples for Cancer Risk Prediction
Jun Liao, Hao Luo, Xuewen Yan, Ting Ye, Shanshan Huang, Li Liu
Pattern Recognition 2024
A method for identifying representative samples using score-based models for cancer risk prediction.
Finding Score-based Representative Samples for Cancer Risk Prediction
Jun Liao, Hao Luo, Xuewen Yan, Ting Ye, Shanshan Huang, Li Liu
Pattern Recognition 2024
A method for identifying representative samples using score-based models for cancer risk prediction.
Multi-attentional Causal Intervention Networks for Medical Image Diagnosis
Shanshan Huang, Lei Wang, Jun Liao, Li Liu
Knowledge-Based Systems 2024
Multi-attentional causal intervention networks for accurate medical image diagnosis.
Multi-attentional Causal Intervention Networks for Medical Image Diagnosis
Shanshan Huang, Lei Wang, Jun Liao, Li Liu
Knowledge-Based Systems 2024
Multi-attentional causal intervention networks for accurate medical image diagnosis.
A Survey of Causal Discovery Based on Functional Causal Model
Lei Wang, Shanshan Huang, Shu Wang, Jun Liao, Tingpeng Li, Li Liu
Engineering Applications of Artificial Intelligence 2024
A comprehensive survey of causal discovery methods based on functional causal models.
A Survey of Causal Discovery Based on Functional Causal Model
Lei Wang, Shanshan Huang, Shu Wang, Jun Liao, Tingpeng Li, Li Liu
Engineering Applications of Artificial Intelligence 2024
A comprehensive survey of causal discovery methods based on functional causal models.
2023
Controllable Image Generation Based on Causal Representation Learning
Shanshan Huang, Yuanhao Wang, Zhili Gong, Jun Liao, Shu Wang, Li Liu
Frontiers of Information Technology & Electronic Engineering 2024
A controllable image generation framework based on causal representation learning.
Controllable Image Generation Based on Causal Representation Learning
Shanshan Huang, Yuanhao Wang, Zhili Gong, Jun Liao, Shu Wang, Li Liu
Frontiers of Information Technology & Electronic Engineering 2024
A controllable image generation framework based on causal representation learning.
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
Engineering Applications of Artificial Intelligence 2023
A review of wearable sensors for fall-related recognition systems.
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
Engineering Applications of Artificial Intelligence 2023
A review of wearable sensors for fall-related recognition systems.
Pareto Invariant Representation Learning for Multimedia Recommendation
Shanshan Huang*, Haoxuan Li*, Qingsong Li, Chunyuan Zheng, Li Liu (* equal contribution)
ACM Multimedia 2023
This work proposes Pareto invariant representation learning for multimedia recommendation tasks.
Pareto Invariant Representation Learning for Multimedia Recommendation
Shanshan Huang*, Haoxuan Li*, Qingsong Li, Chunyuan Zheng, Li Liu (* equal contribution)
ACM Multimedia 2023
This work proposes Pareto invariant representation learning for multimedia recommendation tasks.
Score-based Causal Feature Selection for Cancer Risk Prediction
Shanshan Huang, Qingsong Li, Lei Wang, Yuanhao Wang, Li Liu
IEEE ICME 2023
A score-based causal feature selection method for cancer risk prediction.
Score-based Causal Feature Selection for Cancer Risk Prediction
Shanshan Huang, Qingsong Li, Lei Wang, Yuanhao Wang, Li Liu
IEEE ICME 2023
A score-based causal feature selection method for cancer risk prediction.
Counterfactual-based Minority Oversampling for Imbalanced Classification
Shu Wang, Hao Luo, Shanshan Huang, Qingsong Li, Li Liu, Guoxin Su, Ming Liu
Engineering Applications of Artificial Intelligence 2023
A counterfactual-based minority oversampling method to address imbalanced classification problems.
Counterfactual-based Minority Oversampling for Imbalanced Classification
Shu Wang, Hao Luo, Shanshan Huang, Qingsong Li, Li Liu, Guoxin Su, Ming Liu
Engineering Applications of Artificial Intelligence 2023
A counterfactual-based minority oversampling method to address imbalanced classification problems.
2022
Deep Learning for Image Colorization: Current and Future Prospects
Shanshan Huang, Xin Jin, Qian Jiang, Li Liu
Engineering Applications of Artificial Intelligence (EAAI) 2022
A survey of current and future deep learning methods for image colorization.
Deep Learning for Image Colorization: Current and Future Prospects
Shanshan Huang, Xin Jin, Qian Jiang, Li Liu
Engineering Applications of Artificial Intelligence (EAAI) 2022
A survey of current and future deep learning methods for image colorization.
An Overview of Face Image Forgery Detection
Defen He, Shuai Liu, Xin Jin, Shanshan Huang, Qian Jiang
Current Chinese Computer Science 2022
An overview of recent advances in face image forgery detection.
An Overview of Face Image Forgery Detection
Defen He, Shuai Liu, Xin Jin, Shanshan Huang, Qian Jiang
Current Chinese Computer Science 2022
An overview of recent advances in face image forgery detection.
2021
Semisupervised Remote Sensing Image Fusion using Multiscale Conditional GAN with Siamese Structure
Xin Jin, Shanshan Huang†, Qian Jiang, Shin-Jye Lee, Liwen Wu, Shaowen Yao
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2021
A semisupervised image fusion method for remote sensing using multiscale conditional GANs.
Semisupervised Remote Sensing Image Fusion using Multiscale Conditional GAN with Siamese Structure
Xin Jin, Shanshan Huang†, Qian Jiang, Shin-Jye Lee, Liwen Wu, Shaowen Yao
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2021
A semisupervised image fusion method for remote sensing using multiscale conditional GANs.
A Fully-automatic Image Colorization Scheme using Improved CycleGAN with Skip Connections
Shanshan Huang, Qian Jiang, Xin Jin, Jie Li, Shin-Jye Lee, Puming Wang, Shaowen Yao
Multimedia Tools and Applications 2021
An improved CycleGAN-based fully automatic image colorization method.
A Fully-automatic Image Colorization Scheme using Improved CycleGAN with Skip Connections
Shanshan Huang, Qian Jiang, Xin Jin, Jie Li, Shin-Jye Lee, Puming Wang, Shaowen Yao
Multimedia Tools and Applications 2021
An improved CycleGAN-based fully automatic image colorization method.
An Effective Similarity/Distance Measure between Intuitionistic Fuzzy Sets Based on the Areas of Transformed Isosceles Right Triangle and Its Applications
Jinfang Huang, Xin Jin, Shin-Jye Lee, Shanshan Huang, Qian Jiang
Journal of Intelligent & Fuzzy Systems 2021
Proposes a novel similarity/distance measure for intuitionistic fuzzy sets and demonstrates its applications.
An Effective Similarity/Distance Measure between Intuitionistic Fuzzy Sets Based on the Areas of Transformed Isosceles Right Triangle and Its Applications
Jinfang Huang, Xin Jin, Shin-Jye Lee, Shanshan Huang, Qian Jiang
Journal of Intelligent & Fuzzy Systems 2021
Proposes a novel similarity/distance measure for intuitionistic fuzzy sets and demonstrates its applications.
结合双胞胎结构与生成对抗网络的半监督遥感图像融合
黄珊珊, 江倩, 金鑫, 李昕洁, 冯佳男, 姚绍文
计算机辅助设计与图形学学报 2021
提出一种结合双胞胎结构与生成对抗网络的半监督遥感图像融合方法。
结合双胞胎结构与生成对抗网络的半监督遥感图像融合
黄珊珊, 江倩, 金鑫, 李昕洁, 冯佳男, 姚绍文
计算机辅助设计与图形学学报 2021
提出一种结合双胞胎结构与生成对抗网络的半监督遥感图像融合方法。
2020
Protein Subnuclear Localization based on Radius-SMOTE and Kernel Linear Discriminant Analysis Combined with Random Forest
Liwen Wu, Shanshan Huang, Feng Wu, Qian Jiang, Shaowen Yao, Xin Jin
Electronics 2020
A protein subnuclear localization method using Radius-SMOTE and kernel LDA combined with random forest.
Protein Subnuclear Localization based on Radius-SMOTE and Kernel Linear Discriminant Analysis Combined with Random Forest
Liwen Wu, Shanshan Huang, Feng Wu, Qian Jiang, Shaowen Yao, Xin Jin
Electronics 2020
A protein subnuclear localization method using Radius-SMOTE and kernel LDA combined with random forest.
2019
Remote Sensing Image Colorization Based on Multiscale SEnet GAN
Min Wu, Xin Jin, Qian Jiang, Shin-Jye Lee, Shanshan Huang, Jinfang Huang
12th International Congress on Image and Signal Processing, Biomedical Engineering and Informatics (CISP-BMEI) 2019
A multiscale SEnet GAN-based framework for remote sensing image colorization.
Remote Sensing Image Colorization Based on Multiscale SEnet GAN
Min Wu, Xin Jin, Qian Jiang, Shin-Jye Lee, Shanshan Huang, Jinfang Huang
12th International Congress on Image and Signal Processing, Biomedical Engineering and Informatics (CISP-BMEI) 2019
A multiscale SEnet GAN-based framework for remote sensing image colorization.