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2020 – today
- 2024
[j23]Jianfeng Wu, Aolin Xiong
, Sijie Mai, Haifeng Hu:
Relation-dependent contrastive learning with cluster sampling for inductive relation prediction. Neurocomputing 579: 127425 (2024)- [j22]Ying Zeng, Wenjun Yan, Sijie Mai, Haifeng Hu:
Disentanglement Translation Network for multimodal sentiment analysis. Inf. Fusion 102: 102031 (2024) - [j21]Ying Zeng, Sijie Mai, Wenjun Yan, Haifeng Hu:
Multimodal Reaction: Information Modulation for Cross-Modal Representation Learning. IEEE Trans. Multim. 26: 2178-2191 (2024) - [j20]Sijie Mai, Ya Sun, Aolin Xiong, Ying Zeng, Haifeng Hu:
Multimodal Boosting: Addressing Noisy Modalities and Identifying Modality Contribution. IEEE Trans. Multim. 26: 3018-3033 (2024) - [i13]Ronghao Lin, Ying Zeng, Sijie Mai, Haifeng Hu:
End-to-end Semantic-centric Video-based Multimodal Affective Computing. CoRR abs/2408.07694 (2024) - [i12]Sijie Mai, Yu Zhao, Ying Zeng, Jianhua Yao, Haifeng Hu:
Meta-Learn Unimodal Signals with Weak Supervision for Multimodal Sentiment Analysis. CoRR abs/2408.16029 (2024) - 2023
- [j19]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) - [j18]Sijie Mai, Ya Sun, Ying Zeng, Haifeng Hu:
Excavating multimodal correlation for representation learning. Inf. Fusion 91: 542-555 (2023) - [j17]Sijie Mai, Ying Zeng, Haifeng Hu:
Learning from the global view: Supervised contrastive learning of multimodal representation. Inf. Fusion 100: 101920 (2023) - [j16]Ya Sun, Sijie Mai, Haifeng Hu:
Learning to Learn Better Unimodal Representations via Adaptive Multimodal Meta-Learning. IEEE Trans. Affect. Comput. 14(3): 2209-2223 (2023) - [j15]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): 2276-2289 (2023) - [j14]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): 6512-6517 (2023) - [j13]Sijie Mai, Ying Zeng, Haifeng Hu:
Multimodal Information Bottleneck: Learning Minimal Sufficient Unimodal and Multimodal Representations. IEEE Trans. Multim. 25: 4121-4134 (2023) - [j12]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): 54:1-54:24 (2023) - [c8]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: 560-569 - 2022
- [j11]Jianfeng Wu, Sijie Mai, Haifeng Hu:
Contextual relation embedding and interpretable triplet capsule for inductive relation prediction. Neurocomputing 505: 80-91 (2022) - [j10]Sijie Mai, Shuangjia Zheng, Ya Sun, Ying Zeng, Yuedong Yang, Haifeng Hu:
Dynamic graph dropout for subgraph-based relation prediction. Knowl. Based Syst. 250: 109172 (2022) - [j9]Sijie Mai, Haifeng Hu, Jia Xu, Songlong Xing:
Multi-Fusion Residual Memory Network for Multimodal Human Sentiment Comprehension. IEEE Trans. Affect. Comput. 13(1): 320-334 (2022) - [j8]Songlong Xing, Sijie Mai, Haifeng Hu:
Adapted Dynamic Memory Network for Emotion Recognition in Conversation. IEEE Trans. Affect. Comput. 13(3): 1426-1439 (2022) - [j7]Jianfeng Wu, Sijie Mai, Haifeng Hu:
Interpretable Multimodal Capsule Fusion. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1815-1826 (2022) - [j6]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: 2488-2501 (2022) - [c7]Sijie Mai, Ya Sun, Haifeng Hu:
Curriculum Learning Meets Weakly Supervised Multimodal Correlation Learning. EMNLP 2022: 3191-3203 - [c6]Jiahua Rao, Shuangjia Zheng, Sijie Mai, Yuedong Yang:
Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction. IJCAI 2022: 3919-3925 - [i11]Jiahua Rao, Shuangjia Zheng, Sijie Mai, Yuedong Yang:
Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction. CoRR abs/2205.05957 (2022) - [i10]Sijie Mai, Ying Zeng, Haifeng Hu:
Multimodal Information Bottleneck: Learning Minimal Sufficient Unimodal and Multimodal Representations. CoRR abs/2210.17444 (2022) - [i9]Jianfeng Wu, Sijie Mai, Haifeng Hu:
Relation-dependent Contrastive Learning with Cluster Sampling for Inductive Relation Prediction. CoRR abs/2211.12266 (2022) - [i8]Sijie Mai, Ya Sun, Haifeng Hu:
Curriculum Learning Meets Weakly Supervised Modality Correlation Learning. CoRR abs/2212.07619 (2022) - 2021
- [j5]Jiaxuan He, Sijie Mai, Haifeng Hu:
A Unimodal Reinforced Transformer With Time Squeeze Fusion for Multimodal Sentiment Analysis. IEEE Signal Process. Lett. 28: 992-996 (2021) - [j4]Ya Sun, Sijie Mai, Haifeng Hu:
Learning to Balance the Learning Rates Between Various Modalities via Adaptive Tracking Factor. IEEE Signal Process. Lett. 28: 1650-1654 (2021) - [j3]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: 1424-1437 (2021) - [c5]Sijie Mai, Shuangjia Zheng, Yuedong Yang, Haifeng Hu:
Communicative Message Passing for Inductive Relation Reasoning. AAAI 2021: 4294-4302 - [c4]Ying Zeng, Sijie Mai, Haifeng Hu:
Which is Making the Contribution: Modulating Unimodal and Cross-modal Dynamics for Multimodal Sentiment Analysis. EMNLP (Findings) 2021: 1262-1274 - [c3]Jianfeng Wu, Sijie Mai, Haifeng Hu:
Graph Capsule Aggregation for Unaligned Multimodal Sequences. ICMI 2021: 521-529 - [i7]Shuangjia Zheng, Sijie Mai, Ya Sun, Haifeng Hu, Yuedong Yang:
Subgraph-aware Few-Shot Inductive Link Prediction via Meta-Learning. CoRR abs/2108.00954 (2021) - [i6]Jianfeng Wu, Sijie Mai, Haifeng Hu:
Graph Capsule Aggregation for Unaligned Multimodal Sequences. CoRR abs/2108.07543 (2021) - [i5]Sijie Mai, Ying Zeng, Shuangjia Zheng, Haifeng Hu:
Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal Sentiment Analysis. CoRR abs/2109.01797 (2021) - [i4]Ying Zeng, Sijie Mai, Haifeng Hu:
Which is Making the Contribution: Modulating Unimodal and Cross-modal Dynamics for Multimodal Sentiment Analysis. CoRR abs/2111.08451 (2021) - 2020
- [j2]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): 122-137 (2020) - [c2]Sijie Mai, Haifeng Hu, Songlong Xing:
Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion. AAAI 2020: 164-172 - [i3]Sijie Mai, Songlong Xing, Jiaxuan He, Ying Zeng, Haifeng Hu:
Analyzing Unaligned Multimodal Sequence via Graph Convolution and Graph Pooling Fusion. CoRR abs/2011.13572 (2020) - [i2]Sijie Mai, Shuangjia Zheng, Yuedong Yang, Haifeng Hu:
Communicative Message Passing for Inductive Relation Reasoning. CoRR abs/2012.08911 (2020)
2010 – 2019
- 2019
- [j1]Sijie Mai, Haifeng Hu, Jia Xu:
Attentive matching network for few-shot learning. Comput. Vis. Image Underst. 187 (2019) - [c1]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: 481-492 - [i1]Sijie Mai, Haifeng Hu, Songlong Xing:
Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion. CoRR abs/1911.07848 (2019)
Coauthor Index
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last updated on 2024-10-01 21:39 CEST by the dblp team
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