Sijie Mai - RankMe

66 papers A* 8B 1Journal 54Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Addressing Missing and Noisy Modalities in One Solution: Unified Modality-Quality Framework for Low-quality Multimodal Data. CoRR Sijie Mai, Shiqin Han, Haifeng Hu
2026	J	`jnl`	Affection-Guided Bottleneck Diffusion for Missing Modality Issue in Multimodal Affective Computing. IEEE Trans. Affect. Comput. Ronghao Lin, Qiaolin He, Ying Zeng, Sijie Mai, Li Huang, Haifeng Hu
2026	A*	`conf`	Beyond Cosine Similarity: Magnitude-Aware CLIP for No-Reference Image Quality Assessment. AAAI Zhicheng Liao, Dongxu Wu, Zhenshan Shi, Sijie Mai, Hanwei Zhu, Lingyu Zhu, Yuncheng Jiang, Baoliang Chen
2026	J	`jnl`	CaReFlow: Cyclic Adaptive Rectified Flow for Multimodal Fusion. CoRR Sijie Mai, Shiqin Han
2026	J	`jnl`	CyIN: Cyclic Informative Latent Space for Bridging Complete and Incomplete Multimodal Learning. CoRR Ronghao Lin, Qiaolin He, Sijie Mai, Ying Zeng, Aolin Xiong, Li Huang, Yap-Peng Tan, Haifeng Hu
2026	J	`jnl`	DaQ-MSA: Denoising and Qualifying Diffusion Augmentations for Multimodal Sentiment Analysis. CoRR Jiazhang Liang, Jianheng Dai, Miaosen Luo, Menghua Jiang, Sijie Mai
2026	J	`jnl`	From Uni- to Multi-modal: Progressive Multi-source Domain Adaptation with Gradient Disentangling for Audio-visual Deception Detection. Mach. Intell. Res. Ronghao Lin, Aolin Xiong, Qiaolin He, Sijie Mai, Li Huang, Haifeng Hu
2026	J	`jnl`	GRCF: Two-Stage Groupwise Ranking and Calibration Framework for Multimodal Sentiment Analysis. CoRR Manning Gao, Leheng Zhang, Shiqin Han, Haifeng Hu, Yuncheng Jiang, Sijie Mai
2026	J	`jnl`	MissMAC-Bench: Building Solid Benchmark for Missing Modality Issue in Robust Multimodal Affective Computing. CoRR Ronghao Lin, Honghao Lu, Ruixing Wu, Aolin Xiong, Qinggong Chu, Qiaolin He, Sijie Mai, Haifeng Hu
2026	J	`jnl`	Tri-Modal grouping fusion network with optimal transport learning for unaligned multimodal sentiment analysis. Expert Syst. Appl. Aolin Xiong, Sijie Mai, Haifeng Hu
2025	J	`jnl`	Beyond Cosine Similarity Magnitude-Aware CLIP for No-Reference Image Quality Assessment. CoRR Zhicheng Liao, Dongxu Wu, Zhenshan Shi, Sijie Mai, Hanwei Zhu, Lingyu Zhu, Yuncheng Jiang, Baoliang Chen
2025	J	`jnl`	Disentangling Bias by Modeling Intra- and Inter-modal Causal Attention for Multimodal Sentiment Analysis. CoRR Menghua Jiang, Yuxia Lin, Baoliang Chen, Haifeng Hu, Yuncheng Jiang, Sijie Mai
2025	J	`jnl`	Injecting Multimodal Information Into Pre-Trained Language Model for Multimodal Sentiment Analysis. IEEE Trans. Affect. Comput. Sijie Mai, Ying Zeng, Aolin Xiong, Haifeng Hu
2025	A*	`conf`	Learning by Comparing: Boosting Multimodal Affective Computing through Ordinal Learning. WWW Sijie Mai, Ying Zeng, Haifeng Hu
2025	J	`jnl`	Multi-source Multimodal Progressive Domain Adaption for Audio-Visual Deception Detection. CoRR Ronghao Lin, Sijie Mai, Ying Zeng, Qiaolin He, Aolin Xiong, Haifeng Hu
2025	J	`jnl`	Multimodal Large Language Models for End-to-End Affective Computing: Benchmarking and Boosting with Generative Knowledge Prompting. CoRR Miaosen Luo, Jiesen Long, Zequn Li, Yunying Yang, Yuncheng Jiang, Sijie Mai
2025	A*	`conf`	Supervised Attention Mechanism for Low-quality Multimodal Data. EMNLP Sijie Mai, Shiqin Han, Haifeng Hu
2025	A*	`conf`	Towards Explainable Fusion and Balanced Learning in Multimodal Sentiment Analysis. ACM Multimedia Miaosen Luo, Yuncheng Jiang, Sijie Mai
2025	J	`jnl`	Towards Explainable Fusion and Balanced Learning in Multimodal Sentiment Analysis. CoRR Miaosen Luo, Yuncheng Jiang, Sijie Mai
2025	J	`jnl`	Towards Minimal Causal Representations for Human Multimodal Language Understanding. CoRR Menghua Jiang, Yuncheng Jiang, Haifeng Hu, Sijie Mai
2025	J	`jnl`	Uncertainty-Aware Collaborative System of Large and Small Models for Multimodal Sentiment Analysis. CoRR Shiqin Han, Manning Gao, Menghua Jiang, Yuncheng Jiang, Haifeng Hu, Sijie Mai
2024	J	`jnl`	Disentanglement Translation Network for multimodal sentiment analysis. Inf. Fusion Ying Zeng, Wenjun Yan, Sijie Mai, Haifeng Hu
2024	J	`jnl`	End-to-end Semantic-centric Video-based Multimodal Affective Computing. CoRR Ronghao Lin, Ying Zeng, Sijie Mai, Haifeng Hu
2024	J	`jnl`	Meta-Learn Unimodal Signals with Weak Supervision for Multimodal Sentiment Analysis. CoRR Sijie Mai, Yu Zhao, Ying Zeng, Jianhua Yao, Haifeng Hu
2024	J	`jnl`	Multimodal Boosting: Addressing Noisy Modalities and Identifying Modality Contribution. IEEE Trans. Multim. Sijie Mai, Ya Sun, Aolin Xiong, Ying Zeng, Haifeng Hu
2024	J	`jnl`	Multimodal Reaction: Information Modulation for Cross-Modal Representation Learning. IEEE Trans. Multim. Ying Zeng, Sijie Mai, Wenjun Yan, Haifeng Hu
2024	J	`jnl`	Predicting Links in Knowledge Graphs With the Canonical Correlation Analysis and Fusing Tensor Model. Comput. Sci. Eng. Tinghui Wu, Sijie Mai, Dihu Chen, Haifeng Hu
2024	J	`jnl`	Relation-dependent contrastive learning with cluster sampling for inductive relation prediction. Neurocomputing Jianfeng Wu, Aolin Xiong, Sijie Mai, Haifeng Hu
2023	J	`jnl`	Excavating multimodal correlation for representation learning. Inf. Fusion Sijie Mai, Ya Sun, Ying Zeng, Haifeng Hu
2023	J	`jnl`	Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal Sentiment Analysis. IEEE Trans. Affect. Comput. Sijie Mai, Ying Zeng, Shuangjia Zheng, Haifeng Hu
2023	—	`conf`	IIB-MIL: Integrated Instance-Level and Bag-Level Multiple Instances Learning with Label Disambiguation for Pathological Image Analysis. MICCAI (6) Qin Ren, Yu Zhao, Bing He, Bingzhe Wu, Sijie Mai, Fan Xu, Yueshan Huang, Yonghong He, Junzhou Huang, Jianhua Yao
2023	J	`jnl`	Learning from the global view: Supervised contrastive learning of multimodal representation. Inf. Fusion Sijie Mai, Ying Zeng, Haifeng Hu
2023	J	`jnl`	Learning to Learn Better Unimodal Representations via Adaptive Multimodal Meta-Learning. IEEE Trans. Affect. Comput. Ya Sun, Sijie Mai, Haifeng Hu
2023	J	`jnl`	Multimodal Graph for Unaligned Multimodal Sequence Analysis via Graph Convolution and Graph Pooling. ACM Trans. Multim. Comput. Commun. Appl. Sijie Mai, Songlong Xing, Jiaxuan He, Ying Zeng, Haifeng Hu
2023	J	`jnl`	Multimodal Information Bottleneck: Learning Minimal Sufficient Unimodal and Multimodal Representations. IEEE Trans. Multim. Sijie Mai, Ying Zeng, Haifeng Hu
2023	J	`jnl`	SC-AIR-BERT: a pre-trained single-cell model for predicting the antigen-binding specificity of the adaptive immune receptor. Briefings Bioinform. Yu Zhao, Xiaona Su, Weitong Zhang, Sijie Mai, Zhimeng Xu, Chenchen Qin, Rongshan Yu, Bing He, Jianhua Yao
2023	J	`jnl`	Subgraph-Aware Few-Shot Inductive Link Prediction Via Meta-Learning. IEEE Trans. Knowl. Data Eng. Shuangjia Zheng, Sijie Mai, Ya Sun, Haifeng Hu, Yuedong Yang
2022	J	`jnl`	A Unimodal Representation Learning and Recurrent Decomposition Fusion Structure for Utterance-Level Multimodal Embedding Learning. IEEE Trans. Multim. Sijie Mai, Haifeng Hu, Songlong Xing
2022	J	`jnl`	Adapted Dynamic Memory Network for Emotion Recognition in Conversation. IEEE Trans. Affect. Comput. Songlong Xing, Sijie Mai, Haifeng Hu
2022	A*	`conf`	Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction. IJCAI Jiahua Rao, Shuangjia Zheng, Sijie Mai, Yuedong Yang
2022	J	`jnl`	Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction. CoRR Jiahua Rao, Shuangjia Zheng, Sijie Mai, Yuedong Yang
2022	J	`jnl`	Contextual relation embedding and interpretable triplet capsule for inductive relation prediction. Neurocomputing Jianfeng Wu, Sijie Mai, Haifeng Hu
2022	J	`jnl`	Curriculum Learning Meets Weakly Supervised Modality Correlation Learning. CoRR Sijie Mai, Ya Sun, Haifeng Hu
2022	A*	`conf`	Curriculum Learning Meets Weakly Supervised Multimodal Correlation Learning. EMNLP Sijie Mai, Ya Sun, Haifeng Hu
2022	J	`jnl`	Dynamic graph dropout for subgraph-based relation prediction. Knowl. Based Syst. Sijie Mai, Shuangjia Zheng, Ya Sun, Ying Zeng, Yuedong Yang, Haifeng Hu
2022	J	`jnl`	Interpretable Multimodal Capsule Fusion. IEEE ACM Trans. Audio Speech Lang. Process. Jianfeng Wu, Sijie Mai, Haifeng Hu
2022	J	`jnl`	Multi-Fusion Residual Memory Network for Multimodal Human Sentiment Comprehension. IEEE Trans. Affect. Comput. Sijie Mai, Haifeng Hu, Jia Xu, Songlong Xing
2022	J	`jnl`	Multimodal Information Bottleneck: Learning Minimal Sufficient Unimodal and Multimodal Representations. CoRR Sijie Mai, Ying Zeng, Haifeng Hu
2022	J	`jnl`	Relation-dependent Contrastive Learning with Cluster Sampling for Inductive Relation Prediction. CoRR Jianfeng Wu, Sijie Mai, Haifeng Hu
2021	J	`jnl`	A Unimodal Reinforced Transformer With Time Squeeze Fusion for Multimodal Sentiment Analysis. IEEE Signal Process. Lett. Jiaxuan He, Sijie Mai, Haifeng Hu
2021	J	`jnl`	Analyzing Multimodal Sentiment Via Acoustic- and Visual-LSTM With Channel-Aware Temporal Convolution Network. IEEE ACM Trans. Audio Speech Lang. Process. Sijie Mai, Songlong Xing, Haifeng Hu
2021	A*	`conf`	Communicative Message Passing for Inductive Relation Reasoning. AAAI Sijie Mai, Shuangjia Zheng, Yuedong Yang, Haifeng Hu
2021	B	`conf`	Graph Capsule Aggregation for Unaligned Multimodal Sequences. ICMI Jianfeng Wu, Sijie Mai, Haifeng Hu
2021	J	`jnl`	Graph Capsule Aggregation for Unaligned Multimodal Sequences. CoRR Jianfeng Wu, Sijie Mai, Haifeng Hu
2021	J	`jnl`	Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal Sentiment Analysis. CoRR Sijie Mai, Ying Zeng, Shuangjia Zheng, Haifeng Hu
2021	J	`jnl`	Learning to Balance the Learning Rates Between Various Modalities via Adaptive Tracking Factor. IEEE Signal Process. Lett. Ya Sun, Sijie Mai, Haifeng Hu
2021	J	`jnl`	Subgraph-aware Few-Shot Inductive Link Prediction via Meta-Learning. CoRR Shuangjia Zheng, Sijie Mai, Ya Sun, Haifeng Hu, Yuedong Yang
2021	—	`conf`	Which is Making the Contribution: Modulating Unimodal and Cross-modal Dynamics for Multimodal Sentiment Analysis. EMNLP (Findings) Ying Zeng, Sijie Mai, Haifeng Hu
2021	J	`jnl`	Which is Making the Contribution: Modulating Unimodal and Cross-modal Dynamics for Multimodal Sentiment Analysis. CoRR Ying Zeng, Sijie Mai, Haifeng Hu
2020	J	`jnl`	Analyzing Unaligned Multimodal Sequence via Graph Convolution and Graph Pooling Fusion. CoRR Sijie Mai, Songlong Xing, Jiaxuan He, Ying Zeng, Haifeng Hu
2020	J	`jnl`	Communicative Message Passing for Inductive Relation Reasoning. CoRR Sijie Mai, Shuangjia Zheng, Yuedong Yang, Haifeng Hu
2020	J	`jnl`	Locally Confined Modality Fusion Network With a Global Perspective for Multimodal Human Affective Computing. IEEE Trans. Multim. Sijie Mai, Songlong Xing, Haifeng Hu
2020	A*	`conf`	Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion. AAAI Sijie Mai, Haifeng Hu, Songlong Xing
2019	J	`jnl`	Attentive matching network for few-shot learning. Comput. Vis. Image Underst. Sijie Mai, Haifeng Hu, Jia Xu
2019	—	`conf`	Divide, Conquer and Combine: Hierarchical Feature Fusion Network with Local and Global Perspectives for Multimodal Affective Computing. ACL (1) Sijie Mai, Haifeng Hu, Songlong Xing
2019	J	`jnl`	Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion. CoRR Sijie Mai, Haifeng Hu, Songlong Xing