Yang, Enneng

16 publications

ICLR 2026 MergOPT: A Merge-Aware Optimizer for Robust Model Merging Enneng Yang, Qun Yang, Peng Wang, Anke Tang, Guibing Guo, Xiaochun Cao, Li Shen

ICLR 2026 OptMerge: Unifying Multimodal LLM Capabilities and Modalities via Model Merging Yongxian Wei, Runxi Cheng, Weike Jin, Enneng Yang, Li Shen, Lu Hou, SiNan Du, Chun Yuan, Xiaochun Cao, Dacheng Tao

AAAI 2025 Augmenting Sequential Recommendation with Balanced Relevance and Diversity Yizhou Dang, Jiahui Zhang, Yuting Liu, Enneng Yang, Yuliang Liang, Guibing Guo, Jianzhe Zhao, Xingwei Wang

NeurIPS 2025 Continual Model Merging Without Data: Dual Projections for Balancing Stability and Plasticity Enneng Yang, Anke Tang, Li Shen, Guibing Guo, Xingwei Wang, Xiaochun Cao, Jie Zhang

AAAI 2025 EPT: Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion Pengxiang Lan, Enneng Yang, Yuting Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang

NeurIPS 2025 Merging on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging Anke Tang, Enneng Yang, Li Shen, Yong Luo, Han Hu, Lefei Zhang, Bo Du, Dacheng Tao

ICML 2025 Representation Surgery in Model Merging with Probabilistic Modeling Qi Wei, Shuo He, Enneng Yang, Tingcong Liu, Haobo Wang, Lei Feng, Bo An

ICLR 2024 AdaMerging: Adaptive Model Merging for Multi-Task Learning Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao

ICML 2024 Representation Surgery for Multi-Task Model Merging Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao

AAAI 2023 AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning Enneng Yang, Junwei Pan, Ximei Wang, Haibin Yu, Li Shen, Xihua Chen, Lei Xiao, Jie Jiang, Guibing Guo

NeurIPS 2023 An Efficient Dataset Condensation Plugin and Its Application to Continual Learning Enneng Yang, Li Shen, Zhenyi Wang, Tongliang Liu, Guibing Guo

IJCAI 2023 Basket Representation Learning by Hypergraph Convolution on Repeated Items for Next-Basket Recommendation Yalin Yu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang

ICCV 2023 Data Augmented Flatness-Aware Gradient Projection for Continual Learning Enneng Yang, Li Shen, Zhenyi Wang, Shiwei Liu, Guibing Guo, Xingwei Wang

AAAI 2023 Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation Yizhou Dang, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Xiaoxiao Xu, Qinghui Sun, Hong Liu

ECML-PKDD 2022 Bi-Directional Contrastive Distillation for Multi-Behavior Recommendation Yabo Chu, Enneng Yang, Qiang Liu, Yuting Liu, Linying Jiang, Guibing Guo

IJCAI 2019 Discrete Trust-Aware Matrix Factorization for Fast Recommendation Guibing Guo, Enneng Yang, Li Shen, Xiaochun Yang, Xiaodong He