| 2026 | AAAI | Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer. | Enming Zhang, Liwen Cao, Yanru Wu, Zijie Zhao, Yang Li |
| 2025 | AAAI | pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning. | Jiahao Lai, Jiaqi Li, Jian Xu, Yanru Wu, Boshi Tang, Siqi Chen, Yongfeng Huang, Wenbo Ding, Yang Li |
| 2025 | ACL | The Impact of Large Language Models in Academia: from Writing to Speaking. | Mingmeng Geng, Caixi Chen, Yanru Wu, Yao Wan, Pan Zhou, Dongping Chen |
| 2025 | EMNLP | TreeReview: A Dynamic Tree of Questions Framework for Deep and Efficient LLM-based Scientific Peer Review. | Yuan Chang, Ziyue Li, Hengyuan Zhang, Yuanbo Kong, Yanru Wu, Hayden Kwok-Hay So, Zhijiang Guo, Liya Zhu, Ngai Wong |
| 2025 | ICASSP | Reinforced Domain Selection for Continuous Domain Adaptation. | Hanbing Liu, Huaze Tang, Yanru Wu, Yang Li, Xiao-Ping Zhang |
| 2025 | ICLR | Interleaved Scene Graphs for Interleaved Text-and-Image Generation Assessment. | Dongping Chen, Ruoxi Chen, Shu Pu, Zhaoyi Liu, Yanru Wu, Caixi Chen, Benlin Liu, Yue Huang, Yao Wan, Pan Zhou, Ranjay Krishna |
| 2024 | AAAI | H-ensemble: An Information Theoretic Approach to Reliable Few-Shot Multi-Source-Free Transfer. | Yanru Wu, Jianning Wang, Weida Wang, Yang Li |
| 2024 | ACL | Balancing Speciality and Versatility: a Coarse to Fine Framework for Supervised Fine-tuning Large Language Model. | Hengyuan Zhang, Yanru Wu, Dawei Li, Sak Yang, Rui Zhao, Yong Jiang, Fei Tan |
| 2023 | ICASSP | SDG-L: A Semiparametric Deep Gaussian Process based Framework for Battery Capacity Prediction. | Hanbing Liu, Yanru Wu, Yang Li, Ercan E. Kuruoglu, Xuan Zhang |