| 2026 | AAAI | SOAR: Semi-Supervised Open-Vocabulary Aerial Object Detection via Dual-Aware Enhanced Prior Denoising. | Xu Liu, Yihong Huang, Dan Zhang, Lingling Li, Long Sun, Licheng Jiao |
| 2026 | ACL | ZoomRAG: Hierarchical Random-walk Zooming across Multi-scale Information Graphs for Fast and Accurate RAG. | Xianming Hu, Jingyang Chen, Bin Tang, Yihe Liu, Yihong Huang, Hongbo Zhao, Nuoyi Chen, Jie Zhang, Ping Li, Kai Zhang |
| 2026 | ACL | G-LoRA: Global-Local Decoupled Low-Rank Adaptation. | Jiahao Xiong, Yihong Huang, Yihe Liu, Xianming Hu, Hongbo Zhao, Kai Zhang |
| 2026 | ACL | Adaptive Zooming via Relevance-Informed Positional Resource Allocation for Training-free LLM Context Extension. | Hongbo Zhao, Huibin Wang, Bin Tang, Xianming Hu, Yihong Huang, Yijun Shen, Nuoyi Chen, Ping Li, Kai Zhang |
| 2026 | WWW | KEPo: Knowledge Evolution Poison on Graph-based Retrieval-Augmented Generation. | Qizhi Chen, Chao Qi, Yihong Huang, Muquan Li, Rongzheng Wang, Dongyang Zhang, Ke Qin, Shuang Liang |
| 2026 | WWW | GraphCogent: Mitigating LLMs' Working Memory Constraints via Multi-Agent Collaboration in Complex Graph Understanding. | Rongzheng Wang, Shuang Liang, Qizhi Chen, Yihong Huang, Muquan Li, Yizhuo Ma, Dongyang Zhang, Ke Qin, Man-Fai Leung |
| 2025 | IJCNN | Multi-Frequency Aware Reconstruction Model For Unsupervised Graph Anomaly Detection. | Xinyi Wan, Pengda Li, Yihong Huang, Liping Wang |
| 2024 | KDD | EntropyStop: Unsupervised Deep Outlier Detection with Loss Entropy. | Yihong Huang, Yuang Zhang, Liping Wang, Fan Zhang, Xuemin Lin |
| 2023 | ICDE | Unsupervised Graph Outlier Detection: Problem Revisit, New Insight, and Superior Method. | Yihong Huang, Liping Wang, Fan Zhang, Xuemin Lin |
| 2023 | IJCNN | Curriculum Learning Based Multi-Agent Path Finding for Complex Environments. | Cheng Zhao, Liansheng Zhuang, Yihong Huang, Haonan Liu |
| 2022 | ICONIP | Efficient Double Oracle for Extensive-Form Two-Player Zero-Sum Games. | Yihong Huang, Liansheng Zhuang, Cheng Zhao, Haonan Liu |
| 2022 | ICONIP | VAAC: V-value Attention Actor-Critic for Cooperative Multi-agent Reinforcement Learning. | Haonan Liu, Liansheng Zhuang, Yihong Huang, Cheng Zhao |