| 2026 | AAAI | Beyond Cosine Similarity: Magnitude-Aware CLIP for No-Reference Image Quality Assessment. | Zhicheng Liao, Dongxu Wu, Zhenshan Shi, Sijie Mai, Hanwei Zhu, Lingyu Zhu, Yuncheng Jiang, Baoliang Chen |
| 2026 | ACL | Learning Invariant Modality Representation for Robust Multimodal Learning from a Causal Inference Perspective. | Sijie Mai, Shiqin Han |
| 2025 | EMNLP | Supervised Attention Mechanism for Low-quality Multimodal Data. | Sijie Mai, Shiqin Han, Haifeng Hu |
| 2025 | WWW | Learning by Comparing: Boosting Multimodal Affective Computing through Ordinal Learning. | Sijie Mai, Ying Zeng, Haifeng Hu |
| 2023 | MICCAI | IIB-MIL: Integrated Instance-Level and Bag-Level Multiple Instances Learning with Label Disambiguation for Pathological Image Analysis. | Qin Ren, Yu Zhao, Bing He, Bingzhe Wu, Sijie Mai, Fan Xu, Yueshan Huang, Yonghong He, Junzhou Huang, Jianhua Yao |
| 2022 | EMNLP | Curriculum Learning Meets Weakly Supervised Multimodal Correlation Learning. | Sijie Mai, Ya Sun, Haifeng Hu |
| 2022 | IJCAI | Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction. | Jiahua Rao, Shuangjia Zheng, Sijie Mai, Yuedong Yang |
| 2021 | AAAI | Communicative Message Passing for Inductive Relation Reasoning. | Sijie Mai, Shuangjia Zheng, Yuedong Yang, Haifeng Hu |
| 2021 | EMNLP | Which is Making the Contribution: Modulating Unimodal and Cross-modal Dynamics for Multimodal Sentiment Analysis. | Ying Zeng, Sijie Mai, Haifeng Hu |
| 2021 | ICMI | Graph Capsule Aggregation for Unaligned Multimodal Sequences. | Jianfeng Wu, Sijie Mai, Haifeng Hu |
| 2020 | AAAI | Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion. | Sijie Mai, Haifeng Hu, Songlong Xing |
| 2019 | ACL | Divide, Conquer and Combine: Hierarchical Feature Fusion Network with Local and Global Perspectives for Multimodal Affective Computing. | Sijie Mai, Haifeng Hu, Songlong Xing |