Daize Dong

18 papers A* 2A 2Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
ExFusion: Efficient Transformer Training via Multi-Experts Fusion.
CoRR
Jiacheng Ruan, Daize Dong, Xiaoye Qu, Tong Zhu, Ting Liu, Yuzhuo Fu, Yu Cheng, Suncheng Xiang
2025 — conf
Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts.
NAACL (Long Papers)
Tong Zhu, Daize Dong, Xiaoye Qu, Jiacheng Ruan, Wenliang Chen, Yu Cheng
2025 J jnl
Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques.
Trans. Mach. Learn. Res.
Shwai He, Daize Dong, Liang Ding, Ang Li
2024 A* conf
A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer.
ICML
Zhangyang Gao, Daize Dong, Cheng Tan, Jun Xia, Bozhen Hu, Stan Z. Li
2024 J jnl
A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer.
CoRR
Zhangyang Gao, Daize Dong, Cheng Tan, Jun Xia, Bozhen Hu, Stan Z. Li
2024 J jnl
DLO: Dynamic Layer Operation for Efficient Vertical Scaling of LLMs.
CoRR
Zhen Tan, Daize Dong, Xinyu Zhao, Jie Peng, Yu Cheng, Tianlong Chen
2024 J jnl
Demystifying the Compression of Mixture-of-Experts Through a Unified Framework.
CoRR
Shwai He, Daize Dong, Liang Ding, Ang Li
2024 J jnl
Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts.
CoRR
Tong Zhu, Daize Dong, Xiaoye Qu, Jiacheng Ruan, Wenliang Chen, Yu Cheng
2024 J jnl
LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training.
CoRR
Xiaoye Qu, Daize Dong, Xuyang Hu, Tong Zhu, Weigao Sun, Yu Cheng
2024 A* conf
LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-Training.
EMNLP
Tong Zhu, Xiaoye Qu, Daize Dong, Jiacheng Ruan, Jingqi Tong, Conghui He, Yu Cheng
2024 J jnl
LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training.
CoRR
Tong Zhu, Xiaoye Qu, Daize Dong, Jiacheng Ruan, Jingqi Tong, Conghui He, Yu Cheng
2024 A conf
iDAT: inverse Distillation Adapter-Tuning.
ICME
Jiacheng Ruan, Jingsheng Gao, Mingye Xie, Daize Dong, Suncheng Xiang, Ting Liu, Yuzhuo Fu
2024 J jnl
iDAT: inverse Distillation Adapter-Tuning.
CoRR
Jiacheng Ruan, Jingsheng Gao, Mingye Xie, Daize Dong, Suncheng Xiang, Ting Liu, Yuzhuo Fu
2023 — conf
PAD-Net: An Efficient Framework for Dynamic Networks.
ACL (1)
Shwai He, Liang Ding, Daize Dong, Boan Liu, Fuqiang Yu, Dacheng Tao
2023 A conf
SD-Conv: Towards the Parameter-Efficiency of Dynamic Convolution.
WACV
Shwai He, Chenbo Jiang, Daize Dong, Liang Ding
2022 J jnl
Cherry Hypothesis: Identifying the Cherry on the Cake for Dynamic Networks.
CoRR
Shwai He, Liang Ding, Daize Dong, Boan Liu, Fuqiang Yu, Dacheng Tao
2022 — conf
SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters.
EMNLP (Findings)
Shwai He, Liang Ding, Daize Dong, Jeremy Zhang, Dacheng Tao
2022 J jnl
SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters.
CoRR
Shwai He, Liang Ding, Daize Dong, Miao Zhang, Dacheng Tao