Yanghai Zhang

According to our database, Yanghai Zhang authored at least 17 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Layer-Order Inversion: Rethinking Latent Multi-Hop Reasoning in Large Language Models.

Xukai Liu, Ye Liu, Jipeng Zhang, Yanghai Zhang, Kai Zhang, Qi Liu

CoRR, January, 2026

2025

Self-Reflective Planning with Knowledge Graphs: Enhancing LLM Reasoning Reliability for Question Answering.

Jiajun Zhu, Ye Liu, Meikai Bao, Kai Zhang, Yanghai Zhang, Qi Liu

CoRR, May, 2025

Know3-RAG: A Knowledge-aware RAG Framework with Adaptive Retrieval, Generation, and Filtering.

Xukai Liu, Ye Liu, Shiwen Wu, Yanghai Zhang, Yihao Yuan, Kai Zhang, Qi Liu

CoRR, May, 2025

FABG : End-to-end Imitation Learning for Embodied Affective Human-Robot Interaction.

Yanghai Zhang, Changyi Liu, Keting Fu, Wenbin Zhou, Qingdu Li, Jianwei Zhang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Decoupling and Reconstructing: A Multimodal Sentiment Analysis Framework Towards Robustness.

Mingzheng Yang, Kai Zhang, Yuyang Ye, Yanghai Zhang, Runlong Yu, Min Hou

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

WDMIR: Wavelet-Driven Multimodal Intent Recognition.

Weiyin Gong, Kai Zhang, Yanghai Zhang, Qi Liu, Xinjie Sun, Junyu Lu, Linbo Zhu

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Fine-Grained Zero-Shot Composed Image Retrieval with Complementary Visual-Semantic Integration.

Yongcong Ye, Kai Zhang, Yanghai Zhang, Enhong Chen, Longfei Li, Jun Zhou

Proceedings of the IEEE International Conference on Data Mining, 2025

Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models.

Haoyu Tang, Ye Liu, Xi Zhao, Xukai Liu, Yanghai Zhang, Kai Zhang, Xiaofang Zhou, Enhong Chen

Proceedings of the IEEE International Conference on Data Mining, 2025

Detect, Investigate, Judge and Determine: A Knowledge-Guided Framework for Few-Shot Fake News Detection.

Ye Liu, Jiajun Zhu, Xukai Liu, Haoyu Tang, Yanghai Zhang, Kai Zhang, Xiaofang Zhou, Enhong Chen

Proceedings of the IEEE International Conference on Data Mining, 2025

Adaptive Multimodal Fusion: Dynamic Attention Allocation for Intent Recognition.

Bo Hu, Kai Zhang, Yanghai Zhang, Yuyang Ye

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models.

Haoyu Tang, Ye Liu, Xukai Liu, Kai Zhang, Yanghai Zhang, Qi Liu, Enhong Chen

CoRR, 2024

Detect, Investigate, Judge and Determine: A Novel LLM-based Framework for Few-shot Fake News Detection.

Ye Liu, Jiajun Zhu, Kai Zhang, Haoyu Tang, Yanghai Zhang, Xukai Liu, Qi Liu, Enhong Chen

CoRR, 2024

FZR: Enhancing Knowledge Transfer via Shared Factors Composition in Zero-Shot Relational Learning.

Zhijun Dong, Likang Wu, Kai Zhang, Ye Liu, Yanghai Zhang, Zhi Li, Hongke Zhao, Enhong Chen

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

Leveraging Entity Information for Cross-Modality Correlation Learning: The Entity-Guided Multimodal Summarization.

Yanghai Zhang, Ye Liu, Shiwei Wu, Kai Zhang, Xukai Liu, Qi Liu, Enhong Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

PMA-Net: A parallelly mixed attention network for person re-identification.

Junsuo Qu, Yanghai Zhang, Zhenguo Zhang

Displays, July, 2023

Remote Sensing Small Object Detection Network Based on Attention Mechanism and Multi-Scale Feature Fusion.

Junsuo Qu, Zongbing Tang, Le Zhang, Yanghai Zhang, Zhenguo Zhang

Remote. Sens., 2023

Enhancing Hierarchical Text Classification through Knowledge Graph Integration.

Ye Liu, Kai Zhang, Zhenya Huang, Kehang Wang, Yanghai Zhang, Qi Liu, Enhong Chen

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023