Improving Heterogeneous Model Reuse by Density Estimation. - Anke Tang; Yong Luo 002; Han Hu 003; Fengxiang He; Kehua Su; Bo Du 001; Yixin Chen 001; Dacheng Tao (IJCAI, 2023)

Learn From Model Beyond Fine-Tuning: A Survey. - Hongling Zheng; Li Shen 008; Anke Tang; Yong Luo 002; Han Hu 003; Bo Du 001; Dacheng Tao (CoRR, 2023)

Concrete Subspace Learning based Interference Elimination for Multi-task Model Fusion. - Anke Tang; Li Shen 008; Yong Luo 002; Liang Ding 006; Han Hu 003; Bo Du 001; Dacheng Tao (CoRR, 2023)

Parameter-Efficient Multi-Task Model Fusion with Partial Linearization. - Anke Tang; Li Shen 008; Yong Luo 002; Yibing Zhan; Han Hu 003; Bo Du 001; Yixin Chen 001; Dacheng Tao (ICLR, 2024)

Merging Multi-Task Models via Weight-Ensembling Mixture of Experts. - Anke Tang; Li Shen 008; Yong Luo 002; Nan Yin; Lefei Zhang; Dacheng Tao (ICML, 2024)

FusionBench: A Comprehensive Benchmark of Deep Model Fusion. - Anke Tang; Li Shen 008; Yong Luo 002; Han Hu 003; Bo Du 001; Dacheng Tao (CoRR, 2024)

Towards Efficient Pareto Set Approximation via Mixture of Experts Based Model Fusion. - Anke Tang; Li Shen 008; Yong Luo 002; Shiwei Liu 003; Han Hu 003; Bo Du 001 (CoRR, 2024)

SMILE: Zero-Shot Sparse Mixture of Low-Rank Experts Construction From Pre-Trained Foundation Models. - Anke Tang; Li Shen 008; Yong Luo 002; Shuai Xie; Han Hu 003; Lefei Zhang; Bo Du 001; Dacheng Tao (CoRR, 2024)

Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace. - Jinluan Yang; Anke Tang; Didi Zhu; Zhengyu Chen 001; Li Shen 008; Fei Wu 001 (CoRR, 2024)

Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging. - Li Shen 008; Anke Tang; Enneng Yang; Guibing Guo; Yong Luo 002; Lefei Zhang; Xiaochun Cao; Bo Du 001; Dacheng Tao (CoRR, 2024)

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 (ICLR, 2025)

Learning from models beyond fine-tuning. - Hongling Zheng; Li Shen 008; Anke Tang; Yong Luo 002; Han Hu 003; Bo Du 001; Yonggang Wen 001; Dacheng Tao (Nat. Mac. Intell., 2025)

Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent. - Yongxian Wei; Anke Tang; Li Shen 008; Chun Yuan; Xiaochun Cao (CoRR, 2025)

Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging. - Anke Tang; Enneng Yang; Li Shen 008; Yong Luo 002; Han Hu 003; Bo Du 001; Dacheng Tao (CoRR, 2025)

Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging. - Jinluan Yang; Dingnan Jin; Anke Tang; Li Shen 008; Didi Zhu; Zhengyu Chen 001; Daixin Wang; Qing Cui; Zhiqiang Zhang 012; Jun Zhou 011; Fei Wu 001; Kun Kuang (CoRR, 2025)

Unsupervised deep learning model for fast energy layer pre-selection of delivery-efficient proton arc therapy plan optimization of nasopharyngeal carcinoma. - Bohan Yang 008; Gang Liu; Rirao Dao; Yujia Qian; Ke Shi; Anke Tang; Yong Luo; Jingnan Liu (CoRR, 2025)

Data-Adaptive Weight-Ensembling for Multi-task Model Fusion. - Anke Tang; Li Shen 008; Yong Luo 002; Shiwei Liu 003; Han Hu 003; Bo Du 001; Dacheng Tao (Int. J. Comput. Vis., 2025)