Divide, Conquer and Combine: Hierarchical Feature Fusion Network with Local and Global Perspectives for Multimodal Affective Computing. - Sijie Mai; Haifeng Hu 001; Songlong Xing (ACL (1), 2019)

Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion. - Sijie Mai; Haifeng Hu 001; Songlong Xing (AAAI, 2020)

Analyzing Unaligned Multimodal Sequence via Graph Convolution and Graph Pooling Fusion. - Sijie Mai; Songlong Xing; Jiaxuan He; Ying Zeng; Haifeng Hu 001 (CoRR, 2020)

Efficient and Fast Real-World Noisy Image Denoising by Combining Pyramid Neural Network and Two-Pathway Unscented Kalman Filter. - Ruijun Ma 001; Haifeng Hu 001; Songlong Xing; Zhengming Li (IEEE Trans. Image Process., 2020)

Locally Confined Modality Fusion Network With a Global Perspective for Multimodal Human Affective Computing. - Sijie Mai; Songlong Xing; Haifeng Hu 001 (IEEE Trans. Multim., 2020)

Constrained LSTM and Residual Attention for Image Captioning. - Liang Yang; Haifeng Hu 001; Songlong Xing; Xinlong Lu (ACM Trans. Multim. Comput. Commun. Appl., 2020)

Analyzing Multimodal Sentiment Via Acoustic- and Visual-LSTM With Channel-Aware Temporal Convolution Network. - Sijie Mai; Songlong Xing; Haifeng Hu 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Multi-Fusion Residual Memory Network for Multimodal Human Sentiment Comprehension. - Sijie Mai; Haifeng Hu 001; Jia Xu; Songlong Xing (IEEE Trans. Affect. Comput., 2022)

Adapted Dynamic Memory Network for Emotion Recognition in Conversation. - Songlong Xing; Sijie Mai; Haifeng Hu 001 (IEEE Trans. Affect. Comput., 2022)

A Unimodal Representation Learning and Recurrent Decomposition Fusion Structure for Utterance-Level Multimodal Embedding Learning. - Sijie Mai; Haifeng Hu 001; Songlong Xing (IEEE Trans. Multim., 2022)

Multimodal Graph for Unaligned Multimodal Sequence Analysis via Graph Convolution and Graph Pooling. - Sijie Mai; Songlong Xing; Jiaxuan He; Ying Zeng; Haifeng Hu 001 (ACM Trans. Multim. Comput. Commun. Appl., 2023)

From One to Many Lorikeets: Discovering Image Analogies in the CLIP Space. - Songlong Xing; Elia Peruzzo; Enver Sangineto; Nicu Sebe (ICPR (9), 2024)

SpectralCLIP: Preventing Artifacts in Text-Guided Style Transfer from a Spectral Perspective. - Zipeng Xu; Songlong Xing; Enver Sangineto; Nicu Sebe (WACV, 2024)

Dual Learning for Conversational Emotion Recognition and Emotional Response Generation. - Shuhe Zhang; Haifeng Hu 001; Songlong Xing (IEEE Trans. Affect. Comput., 2024)

CLIP is Strong Enough to Fight Back: Test-time Counterattacks towards Zero-shot Adversarial Robustness of CLIP. - Songlong Xing; Zhengyu Zhao 001; Nicu Sebe (CVPR, 2025)