Sijie Mai
Orcid: 0000-0001-9763-375X
According to our database1,
Sijie Mai
authored at least 33 papers
between 2019 and 2024.
Collaborative distances:
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Bibliography
2024
Inf. Fusion, February, 2024
IEEE Trans. Multim., 2024
Multimodal Boosting: Addressing Noisy Modalities and Identifying Modality Contribution.
IEEE Trans. Multim., 2024
2023
Learning from the global view: Supervised contrastive learning of multimodal representation.
Inf. Fusion, December, 2023
SC-AIR-BERT: a pre-trained single-cell model for predicting the antigen-binding specificity of the adaptive immune receptor.
Briefings Bioinform., July, 2023
IEEE Trans. Knowl. Data Eng., June, 2023
Multimodal Graph for Unaligned Multimodal Sequence Analysis via Graph Convolution and Graph Pooling.
ACM Trans. Multim. Comput. Commun. Appl., 2023
Multimodal Information Bottleneck: Learning Minimal Sufficient Unimodal and Multimodal Representations.
IEEE Trans. Multim., 2023
Learning to Learn Better Unimodal Representations via Adaptive Multimodal Meta-Learning.
IEEE Trans. Affect. Comput., 2023
Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal Sentiment Analysis.
IEEE Trans. Affect. Comput., 2023
IIB-MIL: Integrated Instance-Level and Bag-Level Multiple Instances Learning with Label Disambiguation for Pathological Image Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
A Unimodal Representation Learning and Recurrent Decomposition Fusion Structure for Utterance-Level Multimodal Embedding Learning.
IEEE Trans. Multim., 2022
IEEE ACM Trans. Audio Speech Lang. Process., 2022
IEEE Trans. Affect. Comput., 2022
IEEE Trans. Affect. Comput., 2022
Knowl. Based Syst., 2022
Contextual relation embedding and interpretable triplet capsule for inductive relation prediction.
Neurocomputing, 2022
CoRR, 2022
Relation-dependent Contrastive Learning with Cluster Sampling for Inductive Relation Prediction.
CoRR, 2022
Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
2021
Analyzing Multimodal Sentiment Via Acoustic- and Visual-LSTM With Channel-Aware Temporal Convolution Network.
IEEE ACM Trans. Audio Speech Lang. Process., 2021
Learning to Balance the Learning Rates Between Various Modalities via Adaptive Tracking Factor.
IEEE Signal Process. Lett., 2021
A Unimodal Reinforced Transformer With Time Squeeze Fusion for Multimodal Sentiment Analysis.
IEEE Signal Process. Lett., 2021
Proceedings of the ICMI '21: International Conference on Multimodal Interaction, 2021
Which is Making the Contribution: Modulating Unimodal and Cross-modal Dynamics for Multimodal Sentiment Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Locally Confined Modality Fusion Network With a Global Perspective for Multimodal Human Affective Computing.
IEEE Trans. Multim., 2020
Analyzing Unaligned Multimodal Sequence via Graph Convolution and Graph Pooling Fusion.
CoRR, 2020
Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Divide, Conquer and Combine: Hierarchical Feature Fusion Network with Local and Global Perspectives for Multimodal Affective Computing.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019