| 2025 | CVPR | Revisiting Source-Free Domain Adaptation: Insights into Representativeness, Generalization, and Variety. | Ronghang Zhu, Mengxuan Hu, Weiming Zhuang, Lingjuan Lyu, Xiang Yu, Sheng Li |
| 2025 | EMNLP | No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users. | Mengxuan Hu, Hongyi Wu, Ronghang Zhu, Zihan Guan, Dongliang Guo, Daiqing Qi, Sheng Li |
| 2025 | ICML | Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety. | Zihan Guan, Mengxuan Hu, Ronghang Zhu, Sheng Li, Anil Vullikanti |
| 2024 | AAAI | Open-Set Graph Domain Adaptation via Separate Domain Alignment. | Yu Wang, Ronghang Zhu, Pengsheng Ji, Sheng Li |
| 2023 | ICLR | Progressive Mix-Up for Few-Shot Supervised Multi-Source Domain Transfer. | Ronghang Zhu, Xiang Yu, Sheng Li |
| 2023 | SDM | XDC: Adaptive Cross Domain Short Text Clustering. | Saed Rezayi, Handong Zhao, Ronghang Zhu, Sheng Li |
| 2022 | ICLR | CrossMatch: Cross-Classifier Consistency Regularization for Open-Set Single Domain Generalization. | Ronghang Zhu, Sheng Li |
| 2022 | KDD | Pairwise Adversarial Training for Unsupervised Class-imbalanced Domain Adaptation. | Weili Shi, Ronghang Zhu, Sheng Li |
| 2022 | SDM | Self-supervision based Semantic Alignment for Unsupervised Domain Adaptation. | Ronghang Zhu, Sheng Li |
| 2021 | ICDM | Self-supervised Universal Domain Adaptation with Adaptive Memory Separation. | Ronghang Zhu, Sheng Li |
| 2021 | SIGIR | Automated Graph Learning via Population Based Self-Tuning GCN. | Ronghang Zhu, Zhiqiang Tao, Yaliang Li, Sheng Li |
| 2018 | CVPR | Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition. | Feng Liu, Ronghang Zhu, Dan Zeng, Qijun Zhao, Xiaoming Liu |