| 2026 | WWW | International Workshop on Trustworthy Multimodal Learning for Social Media Analysis. | Fengmao Lv, Jingwei Sun, Guosheng Lin |
| 2025 | AAAI | Enhancing Multi-Robot Semantic Navigation Through Multimodal Chain-of-Thought Score Collaboration. | Zhixuan Shen, Haonan Luo, Kexun Chen, Fengmao Lv, Tianrui Li |
| 2025 | ACL | P²Net: Parallel Pointer-based Network for Key Information Extraction with Complex Layouts. | Kaiwen Wei, Jie Yao, Jiang Zhong, Yangyang Kang, Jingyuan Zhang, Changlong Sun, Xin Zhang, Fengmao Lv, Li Jin |
| 2025 | CVPR | Attribute-formed Class-specific Concept Space: Endowing Language Bottleneck Model with Better Interpretability and Scalability. | Jianyang Zhang, Qianli Luo, Guowu Yang, Wenjing Yang, Weide Liu, Guosheng Lin, Fengmao Lv |
| 2025 | WWW | Damage Analysis via Bidirectional Multi-Task Cascaded Multimodal Fusion. | Tao Liang, Siying Wu, Junfeng Fang, Guowu Yang, Wenya Wang, Fengmao Lv |
| 2025 | WWW | MSTI-Plus: Introducing Non-Sarcasm Reference Materials to Enhance Multimodal Sarcasm Target Identification. | Fengmao Lv, Mengting Xiong, Junlin Fang, Lingli Zhang, Tianze Luo, Weichao Liang, Tianrui Li |
| 2024 | CIKM | Progressive Multimodal Pivot Learning: Towards Semantic Discordance Understanding as Humans. | Junlin Fang, Wenya Wang, Tianze Luo, Yanyong Huang, Fengmao Lv |
| 2024 | IJCAI | Unified View Imputation and Feature Selection Learning for Incomplete Multi-view Data. | Yanyong Huang, Zongxin Shen, Tianrui Li, Fengmao Lv |
| 2022 | CVPR | Expanding Large Pre-trained Unimodal Models with Multimodal Information Injection for Image-Text Multimodal Classification. | Tao Liang, Guosheng Lin, Mingyang Wan, Tianrui Li, Guojun Ma, Fengmao Lv |
| 2022 | EMNLP | Curriculum Knowledge Distillation for Emoji-supervised Cross-lingual Sentiment Analysis. | Jianyang Zhang, Tao Liang, Mingyang Wan, Guowu Yang, Fengmao Lv |
| 2022 | KDD | Partial Label Learning with Semantic Label Representations. | Shuo He, Lei Feng, Fengmao Lv, Wen Li, Guowu Yang |
| 2021 | CVPR | Progressive Modality Reinforcement for Human Multimodal Emotion Recognition From Unaligned Multimodal Sequences. | Fengmao Lv, Xiang Chen, Yanyong Huang, Lixin Duan, Guosheng Lin |
| 2021 | ICASSP | Robust Binary Loss for Multi-Category Classification with Label Noise. | Defu Liu, Guowu Yang, Jinzhao Wu, Jiayi Zhao, Fengmao Lv |
| 2021 | ICCV | Attention is not Enough: Mitigating the Distribution Discrepancy in Asynchronous Multimodal Sequence Fusion. | Tao Liang, Guosheng Lin, Lei Feng, Yan Zhang, Fengmao Lv |
| 2020 | CVPR | Cross-Domain Semantic Segmentation via Domain-Invariant Interactive Relation Transfer. | Fengmao Lv, Tao Liang, Xiang Chen, Guosheng Lin |
| 2020 | ECCV | TRRNet: Tiered Relation Reasoning for Compositional Visual Question Answering. | Xiaofeng Yang, Guosheng Lin, Fengmao Lv, Fayao Liu |
| 2020 | IJCAI | Can Cross Entropy Loss Be Robust to Label Noise? | Lei Feng, Senlin Shu, Zhuoyi Lin, Fengmao Lv, Li Li, Bo An |
| 2019 | ICCV | Constructing Self-Motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach. | Qing Lian, Lixin Duan, Fengmao Lv, Boqing Gong |
| 2018 | DASFAA | Convolutional Neural Networks for Text Classification with Multi-size Convolution and Multi-type Pooling. | Tao Liang, Guowu Yang, Fengmao Lv, Juliang Zhang, Zhantao Cao, Qing Li |
| 2018 | ECCV | Domain Adaptive Semantic Segmentation Through Structure Enhancement. | Fengmao Lv, Qing Lian, Guowu Yang, Guosheng Lin, Sinno Jialin Pan, Lixin Duan |
| 2018 | ICONIP | Improving Target Discriminability for Unsupervised Domain Adaptation. | Fengmao Lv, Hao Chen, Jinzhao Wu, Linfeng Zhong, Xiaoyu Li, Guowu Yang |
| 2018 | ICPR | Botnet Detection based on Fuzzy Association Rules. | Jiazhong Lu, Fengmao Lv, Quan-Hui Liu, Malu Zhang, Xiaosong Zhang |
| 2017 | ICONIP | Anomaly Detection for Categorical Observations Using Latent Gaussian Process. | Fengmao Lv, Guowu Yang, Jinzhao Wu, Chuan Liu, Yuhong Yang |
| 2014 | AAIM | The Research on Controlling the Iteration of Quantum-Inspired Evolutionary Algorithms for Artificial Neural Networks. | Fengmao Lv, Guowu Yang, Shuangbao Wang, Fuyou Fan |