Design and implementation of precise measuring method for the access time of embedded memory. - Yuqing Hu; Lijun Zhang 005; Youzhong Li; Qixiao Zhang; Erliang Li; Wei Jiang 029 (ASICON, 2015)

Revisiting Smoothed Online Learning. - Lijun Zhang 005; Wei Jiang 029; Shiyin Lu; Tianbao Yang (NeurIPS, 2021)

Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions. - Lijun Zhang 005; Guanghui Wang 006; Wei-Wei Tu; Wei Jiang 029; Zhi-Hua Zhou (NeurIPS, 2021)

Optimal Algorithms for Stochastic Multi-Level Compositional Optimization. - Wei Jiang 029; Bokun Wang; Yibo Wang 005; Lijun Zhang 005; Tianbao Yang (ICML, 2022)

Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization. - Wei Jiang 029; Gang Li; Yibo Wang 005; Lijun Zhang 005; Tianbao Yang (NeurIPS, 2022)

Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor. - Lijun Zhang 005; Wei Jiang 029; Jinfeng Yi; Tianbao Yang (NeurIPS, 2022)

Learning Unnormalized Statistical Models via Compositional Optimization. - Wei Jiang 029; Jiayu Qin 001; Lingyu Wu; Changyou Chen; Tianbao Yang; Lijun Zhang 005 (ICML, 2023)

Non-stationary Projection-Free Online Learning with Dynamic and Adaptive Regret Guarantees. - Yibo Wang 005; Wenhao Yang; Wei Jiang 029; Shiyin Lu; Bing Wang 017; Haihong Tang; Yuanyu Wan; Lijun Zhang 005 (AAAI, 2024)

Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization. - Wei Jiang 029; Sifan Yang; Wenhao Yang; Yibo Wang 005; Yuanyu Wan; Lijun Zhang 005 (ICML, 2024)

Small-loss Adaptive Regret for Online Convex Optimization. - Wenhao Yang; Wei Jiang 029; Yibo Wang 005; Ping Yang; Yao Hu; Lijun Zhang 005 (ICML, 2024)

Efficient Algorithms for Empirical Group Distributionally Robust Optimization and Beyond. - Dingzhi Yu; Yunuo Cai; Wei Jiang 029; Lijun Zhang 005 (ICML, 2024)

Online Composite Optimization Between Stochastic and Adversarial Environments. - Yibo Wang 005; Sijia Chen; Wei Jiang 029; Wenhao Yang; Yuanyu Wan; Lijun Zhang 005 (NeurIPS, 2024)

Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions. - Wei Jiang 029; Sifan Yang; Yibo Wang 005; Lijun Zhang 005 (NeurIPS, 2024)

Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction. - Wei Jiang 029; Sifan Yang; Wenhao Yang; Lijun Zhang 005 (NeurIPS, 2024)

Efficient Algorithms for Empirical Group Distributional Robust Optimization and Beyond. - Dingzhi Yu; Yunuo Cai; Wei Jiang 029; Lijun Zhang 005 (CoRR, 2024)

Mirror Descent Under Generalized Smoothness. - Dingzhi Yu; Wei Jiang 029; Yuanyu Wan; Lijun Zhang 005 (CoRR, 2025)

Improved Analysis for Sign-based Methods with Momentum Updates. - Wei Jiang 029; Dingzhi Yu; Sifan Yang; Wenhao Yang; Lijun Zhang 005 (CoRR, 2025)

Revisiting Stochastic Multi-Level Compositional Optimization. - Wei Jiang 029; Sifan Yang; Yibo Wang 005; Tianbao Yang; Lijun Zhang 005 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Dual Adaptivity: Universal Algorithms for Minimizing the Adaptive Regret of Convex Functions. - Lijun Zhang 005; Wenhao Yang; Guanghui Wang 006; Wei Jiang 029; Zhi-Hua Zhou (CoRR, 2025)