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ORCIDDingzhi Yu
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2020 – today
- 2026
[i8]Dingzhi Yu, Hongyi Tao, Yuanyu Wan, Luo Luo, Lijun Zhang:
Sign-Based Optimizers Are Effective Under Heavy-Tailed Noise. CoRR abs/2602.07425 (2026)- [i7]Yuanyu Wan, Yu Shen, Dingzhi Yu, Bo Xue, Mingli Song:
Improved Approximate Regret for Decentralized Online Continuous Submodular Maximization via Reductions. CoRR abs/2602.09502 (2026) - [i6]Dingzhi Yu, Rui Pan, Yuxing Liu, Tong Zhang:
StoSignSGD: Unbiased Structural Stochasticity Fixes SignSGD for Training Large Language Models. CoRR abs/2604.15416 (2026) - [i5]Hongyi Tao, Dingzhi Yu, Lijun Zhang:
When and Why SignSGD Outperforms SGD: A Theoretical Study Based on ℓ1-norm Lower Bounds. CoRR abs/2605.06615 (2026) - 2025
- [i4]Dingzhi Yu, Wei Jiang, Yuanyu Wan, Lijun Zhang:
Mirror Descent Under Generalized Smoothness. CoRR abs/2502.00753 (2025) - [i3]Haomin Bai, Dingzhi Yu, Shuai Li, Haipeng Luo, Lijun Zhang:
Group Distributionally Robust Optimization with Flexible Sample Queries. CoRR abs/2505.15212 (2025) - [i2]Wei Jiang, Dingzhi Yu, Sifan Yang, Wenhao Yang, Lijun Zhang:
Improved Analysis for Sign-based Methods with Momentum Updates. CoRR abs/2507.12091 (2025) - 2024
- [c1]Dingzhi Yu, Yunuo Cai, Wei Jiang, Lijun Zhang:
Efficient Algorithms for Empirical Group Distributionally Robust Optimization and Beyond. ICML 2024: 57384-57414 - [i1]Dingzhi Yu, Yunuo Cai, Wei Jiang, Lijun Zhang:
Efficient Algorithms for Empirical Group Distributional Robust Optimization and Beyond. CoRR abs/2403.03562 (2024)
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