| 2026 | AAAI | Fashion Microscope: Pixel-Level Attribute Perception via Optimal Transport and Neural Semantic Aggregation. | Shuili Zhang, Hongzhang Mu, Jiawei Sheng, Qianqian Tong, Wenyuan Zhang, Quangang Li, Tingwen Liu |
| 2026 | WWW | Beyond Patches: Superpixel Token-based Transformers for Attribute-Specific Fashion Retrieval. | Shuili Zhang, Hongzhang Mu, Wenyuan Zhang, Duohe Ma, Tingwen Liu |
| 2025 | EMNLP | MAKAR: a Multi-Agent framework based Knowledge-Augmented Reasoning for Grounded Multimodal Named Entity Recognition. | Xinkui Lin, Yuhui Zhang, Yongxiu Xu, Kun Huang, Hongzhang Mu, Yubin Wang, Gaopeng Gou, Li Qian, Li Peng, Wei Liu, Jian Luan, Hongbo Xu |
| 2024 | CIKM | MSKR: Advancing Multi-modal Structured Knowledge Representation with Synergistic Hard Negative Samples. | Shuili Zhang, Hongzhang Mu, Tingwen Liu, Qianqian Tong, Jiawei Sheng |
| 2024 | ICASSP | Fine-Grained Features Alignment and Fusion for Text-Video Cross-Modal Retrieval. | Shuili Zhang, Hongzhang Mu, Quangang Li, Chenglong Xiao, Tingwen Liu |
| 2024 | IJCNN | TRGNN: Text-Rich Graph Neural Network for Few-Shot Document Filtering. | Hongzhang Mu, Shuili Zhang, Yubin Wang, Yong Sun, Hongbo Xu |
| 2024 | IJCNN | Improving Accuracy and Generalizability via Multi-Modal Large Language Models Collaboration. | Shuili Zhang, Hongzhang Mu, Tingwen Liu |
| 2023 | IJCNN | Adapt-to-Learn Policy Network for Abstractive Multi-document Summarization. | Hongzhang Mu, Shuili Zhang, Quangang Li, Tingwen Liu, Hongbo Xu |
| 2022 | IJCNN | Learning-to-Learn Agent Adaptation Policy for Abstractive Summarization. | Hongzhang Mu, Tingwen Liu, Hongbo Xu |