| 2025 | ICLR | Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace. | Jinluan Yang, Anke Tang, Didi Zhu, Zhengyu Chen, Li Shen, Fei Wu |
| 2025 | ICML | Targeted Low-rank Refinement: Enhancing Sparse Language Models with Precision. | Li Shen, Anke Tang, Yong Luo, Tao Sun, Han Hu, Xiaochun Cao |
| 2025 | ICML | Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent. | Yongxian Wei, Anke Tang, Li Shen, Zixuan Hu, Chun Yuan, Xiaochun Cao |
| 2025 | ICONIP | Successive Mouse Movement: Dual-Phase Adaptation with Pre-balancing and Test-Time Learning. | Jingyi Feng, Yong Luo, Anke Tang, Xuxu Liu |
| 2024 | ICLR | Parameter-Efficient Multi-Task Model Fusion with Partial Linearization. | Anke Tang, Li Shen, Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao |
| 2024 | ICML | Merging Multi-Task Models via Weight-Ensembling Mixture of Experts. | Anke Tang, Li Shen, Yong Luo, Nan Yin, Lefei Zhang, Dacheng Tao |
| 2023 | IJCAI | Improving Heterogeneous Model Reuse by Density Estimation. | Anke Tang, Yong Luo, Han Hu, Fengxiang He, Kehua Su, Bo Du, Yixin Chen, Dacheng Tao |