Hongzhang Mu

According to our database, Hongzhang Mu authored at least 12 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Beyond Patches: Superpixel Token-based Transformers for Attribute-Specific Fashion Retrieval.

Shuili Zhang, Hongzhang Mu, Wenyuan Zhang, Duohe Ma, Tingwen Liu

Proceedings of the ACM Web Conference 2026, 2026

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Modeling Human-Like Driving Behavior at a Signal Intersection Based on Driver Risk Field Model.

Weichao Hu, Yanyan Chen, Wenxiang Xu, Hongzhang Mu

IEEE Intell. Transp. Syst. Mag., 2025

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

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

A Knowledge-Driven Approach to Enhance Topic Modeling with Multi-Modal Representation Learning.

Hongzhang Mu, Shuili Zhang, Hongbo Xu

Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

Improving Accuracy and Generalizability via Multi-Modal Large Language Models Collaboration.

Shuili Zhang, Hongzhang Mu, Tingwen Liu

Proceedings of the International Joint Conference on Neural Networks, 2024

TRGNN: Text-Rich Graph Neural Network for Few-Shot Document Filtering.

Hongzhang Mu, Shuili Zhang, Yubin Wang, Yong Sun, Hongbo Xu

Proceedings of the International Joint Conference on Neural Networks, 2024

Dynamic Multi-Modal Representation Learning For Topic Modeling.

Hongzhang Mu, Shuili Zhang, Quangang Li, Tingwen Liu, Hongbo Xu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Fine-Grained Features Alignment and Fusion for Text-Video Cross-Modal Retrieval.

Shuili Zhang, Hongzhang Mu, Quangang Li, Chenglong Xiao, Tingwen Liu

Proceedings of the IEEE International Conference on Acoustics, 2024

MSKR: Advancing Multi-modal Structured Knowledge Representation with Synergistic Hard Negative Samples.

Shuili Zhang, Hongzhang Mu, Tingwen Liu, Qianqian Tong, Jiawei Sheng

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Adapt-to-Learn Policy Network for Abstractive Multi-document Summarization.

Hongzhang Mu, Shuili Zhang, Quangang Li, Tingwen Liu, Hongbo Xu

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Learning-to-Learn Agent Adaptation Policy for Abstractive Summarization.

Hongzhang Mu, Tingwen Liu, Hongbo Xu

Proceedings of the International Joint Conference on Neural Networks, 2022