Aolin Xiong

According to our database, Aolin Xiong authored at least 13 papers between 2021 and 2026.

Collaborative distances:

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

2026

From Uni- to Multi-modal: Progressive Multi-source Domain Adaptation with Gradient Disentangling for Audio-visual Deception Detection.

Ronghao Lin, Aolin Xiong, Qiaolin He, Sijie Mai, Li Huang, Haifeng Hu

Mach. Intell. Res., April, 2026

CyIN: Cyclic Informative Latent Space for Bridging Complete and Incomplete Multimodal Learning.

Ronghao Lin, Qiaolin He, Sijie Mai, Ying Zeng, Aolin Xiong, Li Huang, Yap-Peng Tan, Haifeng Hu

CoRR, February, 2026

MissMAC-Bench: Building Solid Benchmark for Missing Modality Issue in Robust Multimodal Affective Computing.

Ronghao Lin, Honghao Lu, Ruixing Wu, Aolin Xiong, Qinggong Chu, Qiaolin He, Sijie Mai, Haifeng Hu

CoRR, February, 2026

Tri-Modal grouping fusion network with optimal transport learning for unaligned multimodal sentiment analysis.

Aolin Xiong, Sijie Mai, Haifeng Hu

Expert Syst. Appl., 2026

2025

Multi-source Multimodal Progressive Domain Adaption for Audio-Visual Deception Detection.

Ronghao Lin, Sijie Mai, Ying Zeng, Qiaolin He, Aolin Xiong, Haifeng Hu

CoRR, August, 2025

Hierarchical Knowledge Stripping for Multimodal Sentiment Analysis.

Aolin Xiong, Ying Zeng, Haifeng Hu

IEEE Trans. Affect. Comput., 2025

Injecting Multimodal Information Into Pre-Trained Language Model for Multimodal Sentiment Analysis.

Sijie Mai, Ying Zeng, Aolin Xiong, Haifeng Hu

IEEE Trans. Affect. Comput., 2025

E3RG: Building Explicit Emotion-driven Empathetic Response Generation System with Multimodal Large Language Model.

Ronghao Lin, Shuai Shen, Weipeng Hu, Qiaolin He, Aolin Xiong, Li Huang, Haifeng Hu, Yap-Peng Tan

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

2024

Multimodal Boosting: Addressing Noisy Modalities and Identifying Modality Contribution.

Sijie Mai, Ya Sun, Aolin Xiong, Ying Zeng, Haifeng Hu

IEEE Trans. Multim., 2024

Relation-dependent contrastive learning with cluster sampling for inductive relation prediction.

Jianfeng Wu, Aolin Xiong, Sijie Mai, Haifeng Hu

Neurocomputing, 2024

2023

Estimating Human Weight From a Single Image.

Zhi Jin, Junjia Huang, Wenjin Wang, Aolin Xiong, Xiaojun Tan

IEEE Trans. Multim., 2023

2022

Attention guided deep features for accurate body mass index estimation.

Zhi Jin, Junjia Huang, Aolin Xiong, Yuxian Pang, Wenjin Wang, Beichen Ding

Pattern Recognit. Lett., 2022

2021

Seeing Health with Eyes: Feature Combination for Image-Based Human BMI Estimation.

Junjia Huang, Chenming Shang, Aolin Xiong, Yuxian Pang, Zhi Jin

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021