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)

Attentive matching network for few-shot learning. - Sijie Mai; Haifeng Hu 001; Jia Xu (Comput. Vis. Image Underst., 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)

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)

Communicative Message Passing for Inductive Relation Reasoning. - Sijie Mai; Shuangjia Zheng; Yuedong Yang; Haifeng Hu 001 (AAAI, 2021)

Which is Making the Contribution: Modulating Unimodal and Cross-modal Dynamics for Multimodal Sentiment Analysis. - Ying Zeng; Sijie Mai; Haifeng Hu 001 (EMNLP (Findings), 2021)

Graph Capsule Aggregation for Unaligned Multimodal Sequences. - Jianfeng Wu; Sijie Mai; Haifeng Hu 001 (ICMI, 2021)

A Unimodal Reinforced Transformer With Time Squeeze Fusion for Multimodal Sentiment Analysis. - Jiaxuan He; Sijie Mai; Haifeng Hu 001 (IEEE Signal Process. Lett., 2021)

Learning to Balance the Learning Rates Between Various Modalities via Adaptive Tracking Factor. - Ya Sun; Sijie Mai; Haifeng Hu 001 (IEEE Signal Process. Lett., 2021)

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)

Curriculum Learning Meets Weakly Supervised Multimodal Correlation Learning. - Sijie Mai; Ya Sun; Haifeng Hu 001 (EMNLP, 2022)

Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction. - Jiahua Rao; Shuangjia Zheng; Sijie Mai; Yuedong Yang (IJCAI, 2022)

Relation-dependent Contrastive Learning with Cluster Sampling for Inductive Relation Prediction. - Jianfeng Wu; Sijie Mai; Haifeng Hu 001 (CoRR, 2022)

Curriculum Learning Meets Weakly Supervised Modality Correlation Learning. - Sijie Mai; Ya Sun; Haifeng Hu 001 (CoRR, 2022)

Contextual relation embedding and interpretable triplet capsule for inductive relation prediction. - Jianfeng Wu; Sijie Mai; Haifeng Hu 001 (Neurocomputing, 2022)

Dynamic graph dropout for subgraph-based relation prediction. - Sijie Mai; Shuangjia Zheng; Ya Sun; Ying Zeng; Yuedong Yang; Haifeng Hu 001 (Knowl. Based Syst., 2022)

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)

Interpretable Multimodal Capsule Fusion. - Jianfeng Wu; Sijie Mai; Haifeng Hu 001 (IEEE ACM Trans. Audio Speech Lang. Process., 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)

IIB-MIL: Integrated Instance-Level and Bag-Level Multiple Instances Learning with Label Disambiguation for Pathological Image Analysis. - Qin Ren 001; Yu Zhao 009; Bing He; Bingzhe Wu; Sijie Mai; Fan Xu; Yueshan Huang; Yonghong He; Junzhou Huang; Jianhua Yao 001 (MICCAI (6), 2023)

Excavating multimodal correlation for representation learning. - Sijie Mai; Ya Sun; Ying Zeng; Haifeng Hu 001 (Inf. Fusion, 2023)

Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal Sentiment Analysis. - Sijie Mai; Ying Zeng; Shuangjia Zheng; Haifeng Hu 001 (IEEE Trans. Affect. Comput., 2023)

Learning to Learn Better Unimodal Representations via Adaptive Multimodal Meta-Learning. - Ya Sun; Sijie Mai; Haifeng Hu 001 (IEEE Trans. Affect. Comput., 2023)

Multimodal Information Bottleneck: Learning Minimal Sufficient Unimodal and Multimodal Representations. - Sijie Mai; Ying Zeng; Haifeng Hu 001 (IEEE Trans. Multim., 2023)

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)

Subgraph-Aware Few-Shot Inductive Link Prediction Via Meta-Learning. - Shuangjia Zheng; Sijie Mai; Ya Sun; Haifeng Hu 001; Yuedong Yang (IEEE Trans. Knowl. Data Eng., 2023)

SC-AIR-BERT: a pre-trained single-cell model for predicting the antigen-binding specificity of the adaptive immune receptor. - Yu Zhao 009; Xiaona Su; Weitong Zhang; Sijie Mai; Zhimeng Xu; Chenchen Qin; Rongshan Yu; Bing He; Jianhua Yao 001 (Briefings Bioinform., 2023)

Learning from the global view: Supervised contrastive learning of multimodal representation. - Sijie Mai; Ying Zeng; Haifeng Hu 001 (Inf. Fusion, 2023)

End-to-end Semantic-centric Video-based Multimodal Affective Computing. - Ronghao Lin; Ying Zeng; Sijie Mai; Haifeng Hu 001 (CoRR, 2024)

Meta-Learn Unimodal Signals with Weak Supervision for Multimodal Sentiment Analysis. - Sijie Mai; Yu Zhao 009; Ying Zeng; Jianhua Yao 001; Haifeng Hu 001 (CoRR, 2024)

Predicting Links in Knowledge Graphs With the Canonical Correlation Analysis and Fusing Tensor Model. - Tinghui Wu; Sijie Mai; Dihu Chen; Haifeng Hu 001 (Comput. Sci. Eng., 2024)

Relation-dependent contrastive learning with cluster sampling for inductive relation prediction. - Jianfeng Wu; Aolin Xiong; Sijie Mai; Haifeng Hu 001 (Neurocomputing, 2024)

Multimodal Boosting: Addressing Noisy Modalities and Identifying Modality Contribution. - Sijie Mai; Ya Sun; Aolin Xiong; Ying Zeng; Haifeng Hu 001 (IEEE Trans. Multim., 2024)

Multimodal Reaction: Information Modulation for Cross-Modal Representation Learning. - Ying Zeng; Sijie Mai; Wenjun Yan; Haifeng Hu 001 (IEEE Trans. Multim., 2024)

Disentanglement Translation Network for multimodal sentiment analysis. - Ying Zeng; Wenjun Yan; Sijie Mai; Haifeng Hu 001 (Inf. Fusion, 2024)

Learning by Comparing: Boosting Multimodal Affective Computing through Ordinal Learning. - Sijie Mai; Ying Zeng; Haifeng Hu 001 (WWW, 2025)

Towards Explainable Fusion and Balanced Learning in Multimodal Sentiment Analysis. - Miaosen Luo; Yuncheng Jiang; Sijie Mai (CoRR, 2025)

Multimodal Large Language Models for End-to-End Affective Computing: Benchmarking and Boosting with Generative Knowledge Prompting. - Miaosen Luo; Jiesen Long; Zequn Li 008; Yunying Yang; Yuncheng Jiang; Sijie Mai (CoRR, 2025)

Disentangling Bias by Modeling Intra- and Inter-modal Causal Attention for Multimodal Sentiment Analysis. - Menghua Jiang; Yuxia Lin; Baoliang Chen; Haifeng Hu; Yuncheng Jiang; Sijie Mai (CoRR, 2025)

Multi-source Multimodal Progressive Domain Adaption for Audio-Visual Deception Detection. - Ronghao Lin; Sijie Mai; Ying Zeng; Qiaolin He; Aolin Xiong; Haifeng Hu 001 (CoRR, 2025)