Sijie Mai

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 42

Top Topics

Multiple Instance

Multimodal Fusion

Weakly Supervised

Sentiment Analysis

Top Venues

IEEE Trans. Multim.

IEEE Trans. Affect. Comput.

Publications

Ying Zeng, Sijie Mai, Wenjun Yan, Haifeng Hu
Multimodal Reaction: Information Modulation for Cross-Modal Representation Learning. IEEE Trans. Multim. 26 (2024)
Ying Zeng, Wenjun Yan, Sijie Mai, Haifeng Hu
Disentanglement Translation Network for multimodal sentiment analysis. Inf. Fusion 102 (2024)
Sijie Mai, Ya Sun, Aolin Xiong, Ying Zeng, Haifeng Hu
Multimodal Boosting: Addressing Noisy Modalities and Identifying Modality Contribution. IEEE Trans. Multim. 26 (2024)
Jianfeng Wu, Aolin Xiong, Sijie Mai, Haifeng Hu
Relation-dependent contrastive learning with cluster sampling for inductive relation prediction. Neurocomputing 579 (2024)
Ya Sun, Sijie Mai, Haifeng Hu
Learning to Learn Better Unimodal Representations via Adaptive Multimodal Meta-Learning. IEEE Trans. Affect. Comput. 14 (3) (2023)
Sijie Mai, Ying Zeng, Haifeng Hu
Multimodal Information Bottleneck: Learning Minimal Sufficient Unimodal and Multimodal Representations. IEEE Trans. Multim. 25 (2023)
Sijie Mai, Songlong Xing, Jiaxuan He, Ying Zeng, Haifeng Hu
Multimodal Graph for Unaligned Multimodal Sequence Analysis via Graph Convolution and Graph Pooling. ACM Trans. Multim. Comput. Commun. Appl. 19 (2) (2023)
Sijie Mai, Ying Zeng, Haifeng Hu
Learning from the global view: Supervised contrastive learning of multimodal representation. Inf. Fusion 100 (2023)
Qin Ren, Yu Zhao, Bing He, Bingzhe Wu, Sijie Mai, Fan Xu, Yueshan Huang, Yonghong He, Junzhou Huang, Jianhua Yao
IIB-MIL: Integrated Instance-Level and Bag-Level Multiple Instances Learning with Label Disambiguation for Pathological Image Analysis. MICCAI (6) (2023)
Sijie Mai, Ya Sun, Ying Zeng, Haifeng Hu
Excavating multimodal correlation for representation learning. Inf. Fusion 91 (2023)
Shuangjia Zheng, Sijie Mai, Ya Sun, Haifeng Hu, Yuedong Yang
Subgraph-Aware Few-Shot Inductive Link Prediction Via Meta-Learning. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Yu Zhao, Xiaona Su, Weitong Zhang, Sijie Mai, Zhimeng Xu, Chenchen Qin, Rongshan Yu, Bing He, Jianhua Yao
SC-AIR-BERT: a pre-trained single-cell model for predicting the antigen-binding specificity of the adaptive immune receptor. Briefings Bioinform. 24 (4) (2023)
Sijie Mai, Ying Zeng, Shuangjia Zheng, Haifeng Hu
Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal Sentiment Analysis. IEEE Trans. Affect. Comput. 14 (3) (2023)
Jiahua Rao, Shuangjia Zheng, Sijie Mai, Yuedong Yang
Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction. IJCAI (2022)
Jianfeng Wu, Sijie Mai, Haifeng Hu
Interpretable Multimodal Capsule Fusion. IEEE ACM Trans. Audio Speech Lang. Process. 30 (2022)
Sijie Mai, Haifeng Hu, Jia Xu, Songlong Xing
Multi-Fusion Residual Memory Network for Multimodal Human Sentiment Comprehension. IEEE Trans. Affect. Comput. 13 (1) (2022)
Jianfeng Wu, Sijie Mai, Haifeng Hu
Relation-dependent Contrastive Learning with Cluster Sampling for Inductive Relation Prediction. CoRR (2022)
Jianfeng Wu, Sijie Mai, Haifeng Hu
Contextual relation embedding and interpretable triplet capsule for inductive relation prediction. Neurocomputing 505 (2022)
Sijie Mai, Ya Sun, Haifeng Hu
Curriculum Learning Meets Weakly Supervised Multimodal Correlation Learning. EMNLP (2022)
Jiahua Rao, Shuangjia Zheng, Sijie Mai, Yuedong Yang
Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction. CoRR (2022)
Sijie Mai, Ying Zeng, Haifeng Hu
Multimodal Information Bottleneck: Learning Minimal Sufficient Unimodal and Multimodal Representations. CoRR (2022)
Songlong Xing, Sijie Mai, Haifeng Hu
Adapted Dynamic Memory Network for Emotion Recognition in Conversation. IEEE Trans. Affect. Comput. 13 (3) (2022)
Sijie Mai, Shuangjia Zheng, Ya Sun, Ying Zeng, Yuedong Yang, Haifeng Hu
Dynamic graph dropout for subgraph-based relation prediction. Knowl. Based Syst. 250 (2022)
Sijie Mai, Ya Sun, Haifeng Hu
Curriculum Learning Meets Weakly Supervised Modality Correlation Learning. CoRR (2022)
Sijie Mai, Haifeng Hu, Songlong Xing
A Unimodal Representation Learning and Recurrent Decomposition Fusion Structure for Utterance-Level Multimodal Embedding Learning. IEEE Trans. Multim. 24 (2022)
Shuangjia Zheng, Sijie Mai, Ya Sun, Haifeng Hu, Yuedong Yang
Subgraph-aware Few-Shot Inductive Link Prediction via Meta-Learning. CoRR (2021)
Sijie Mai, Songlong Xing, Haifeng Hu
Analyzing Multimodal Sentiment Via Acoustic- and Visual-LSTM With Channel-Aware Temporal Convolution Network. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Sijie Mai, Shuangjia Zheng, Yuedong Yang, Haifeng Hu
Communicative Message Passing for Inductive Relation Reasoning. AAAI (2021)
Jiaxuan He, Sijie Mai, Haifeng Hu
A Unimodal Reinforced Transformer With Time Squeeze Fusion for Multimodal Sentiment Analysis. IEEE Signal Process. Lett. 28 (2021)
Jianfeng Wu, Sijie Mai, Haifeng Hu
Graph Capsule Aggregation for Unaligned Multimodal Sequences. ICMI (2021)
Jianfeng Wu, Sijie Mai, Haifeng Hu
Graph Capsule Aggregation for Unaligned Multimodal Sequences. CoRR (2021)
Sijie Mai, Ying Zeng, Shuangjia Zheng, Haifeng Hu
Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal Sentiment Analysis. CoRR (2021)
Ying Zeng, Sijie Mai, Haifeng Hu
Which is Making the Contribution: Modulating Unimodal and Cross-modal Dynamics for Multimodal Sentiment Analysis. EMNLP (Findings) (2021)
Ying Zeng, Sijie Mai, Haifeng Hu
Which is Making the Contribution: Modulating Unimodal and Cross-modal Dynamics for Multimodal Sentiment Analysis. CoRR (2021)
Ya Sun, Sijie Mai, Haifeng Hu
Learning to Balance the Learning Rates Between Various Modalities via Adaptive Tracking Factor. IEEE Signal Process. Lett. 28 (2021)
Sijie Mai, Shuangjia Zheng, Yuedong Yang, Haifeng Hu
Communicative Message Passing for Inductive Relation Reasoning. CoRR (2020)
Sijie Mai, Songlong Xing, Haifeng Hu
Locally Confined Modality Fusion Network With a Global Perspective for Multimodal Human Affective Computing. IEEE Trans. Multim. 22 (1) (2020)
Sijie Mai, Haifeng Hu, Songlong Xing
Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion. AAAI (2020)
Sijie Mai, Songlong Xing, Jiaxuan He, Ying Zeng, Haifeng Hu
Analyzing Unaligned Multimodal Sequence via Graph Convolution and Graph Pooling Fusion. CoRR (2020)
Sijie Mai, Haifeng Hu, Songlong Xing
Divide, Conquer and Combine: Hierarchical Feature Fusion Network with Local and Global Perspectives for Multimodal Affective Computing. ACL (1) (2019)
Sijie Mai, Haifeng Hu, Songlong Xing
Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion. CoRR (2019)
Sijie Mai, Haifeng Hu, Jia Xu
Attentive matching network for few-shot learning. Comput. Vis. Image Underst. 187 (2019)