| 2026 | AAAI | Generalizing Vision-Language Models with Dedicated Prompt Guidance. | Xinyao Li, Yinjie Min, Hongbo Chen, Zhekai Du, Fengling Li, Jingjing Li |
| 2026 | WWW | Sharpness-Consistent Cross-Domain Recommendation for Cold-Start Items. | Ke Fei, Jingjing Li, Zhekai Du, Hongbo Chen |
| 2025 | ICLR | LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning. | Zhekai Du, Yinjie Min, Jingjing Li, Ke Lu, Changliang Zou, Liuhua Peng, Tingjin Chu, Mingming Gong |
| 2024 | CVPR | Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation. | Zhekai Du, Xinyao Li, Fengling Li, Ke Lu, Lei Zhu, Jingjing Li |
| 2024 | CVPR | Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation. | Xinyao Li, Yuke Li, Zhekai Du, Fengling Li, Ke Lu, Jingjing Li |
| 2023 | AAAI | Cross-Domain Adaptative Learning for Online Advertisement Customer Lifetime Value Prediction. | Hongzu Su, Zhekai Du, Jingjing Li, Lei Zhu, Ke Lu |
| 2023 | CIKM | Exploring Low-Dimensional Manifolds of Deep Neural Network Parameters for Improved Model Optimization. | Ke Lu, Xiaotong He, Ze Qin, Xinyao Li, Zhekai Du |
| 2022 | ECCV | Interpretable Open-Set Domain Adaptation via Angular Margin Separation. | Xinhao Li, Jingjing Li, Zhekai Du, Lei Zhu, Wen Li |
| 2021 | CVPR | Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation. | Zhekai Du, Jingjing Li, Hongzu Su, Lei Zhu, Ke Lu |