Dong, Mingzhi

9 publications

ICML 2025 Oracle-MoE: Locality-Preserving Routing in the Oracle Space for Memory-Constrained Large Language Model Inference Jixian Zhou, Fang Dong, Ruijun Huang, Hengjie Cao, Mengyi Chen, Yifeng Yang, Anrui Chen, Mingzhi Dong, Yujiang Wang, Dongsheng Li, David A. Clifton, Qin Lv, Rui Zhu, Chun Zhang, Fan Yang, Tun Lu, Ning Gu, Li Shang

NeurIPS 2024 Once Read Is Enough: Domain-Specific Pretraining-Free Language Models with Cluster-Guided Sparse Experts for Long-Tail Domain Knowledge Fang Dong, Mengyi Chen, Jixian Zhou, Yubin Shi, Yixuan Chen, Mingzhi Dong, Yujiang Wang, Dongsheng Li, Xiaochen Yang, Rui Zhu, Robert Dick, Qin Lv, Fan Yang, Tun Lu, Ning Gu, Li Shang

ICLR 2023 Over-Parameterized Model Optimization with Polyak-{\L}ojasiewicz Condition Yixuan Chen, Yubin Shi, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert P. Dick, Qin Lv, Yingying Zhao, Fan Yang, Ning Gu, Li Shang

NeurIPS 2023 Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models Yubin Shi, Yixuan Chen, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert Dick, Qin Lv, Yingying Zhao, Fan Yang, Tun Lu, Ning Gu, Li Shang

ICLR 2022 Recursive Disentanglement Network Yixuan Chen, Yubin Shi, Dongsheng Li, Yujiang Wang, Mingzhi Dong, Yingying Zhao, Robert P. Dick, Qin Lv, Fan Yang, Li Shang

NeurIPS 2020 Generalization Bound of Gradient Descent for Non-Convex Metric Learning Mingzhi Dong, Xiaochen Yang, Rui Zhu, Yujiang Wang, Jing-Hao Xue

ECML-PKDD 2020 Metric Learning for Categorical and Ambiguous Features: An Adversarial Method Xiaochen Yang, Mingzhi Dong, Yiwen Guo, Jing-Hao Xue

AAAI 2013 A Maximum K-Min Approach for Classification Mingzhi Dong, Liang Yin

AAAI 2013 A Maximum K-Min Approach for Classification Mingzhi Dong, Liang Yin, Weihong Deng, Li Shang, Jun Guo, Honggang Zhang