Robust Composite Saturation Compensation for a Single Flexible Link Using Neural Networks. - Wenzhi Gao; Rastko R. Selmic; Frank L. Lewis (ISIC, 2005)

Adaptive Neural Network Saturation Compensation in Motion Control Systems. - Wenzhi Gao; Rastko R. Selmic; Shengjun Su (ISIC, 2005)

Adaptive Neural Network Output Feedback Control of Nonlinear Systems with Actuator Saturation. - Wenzhi Gao; Rastko R. Selmic (CDC/ECC, 2005)

Neural network control of a class of nonlinear systems with actuator saturation. - Wenzhi Gao; Rastko R. Selmic (IEEE Trans. Neural Networks, 2006)

A Fiber-Optic Interferometric Tri-Component Geophone for Ocean Floor Seismic Monitoring. - Jiandong Chen; Tianying Chang; Qunjian Fu; Jinpeng Lang; Wenzhi Gao; Zhongmin Wang 003; Miao Yu; Yanbo Zhang; Hong-Liang Cui (Sensors, 2017)

Method for Determining the Resonance Frequency of a Fiber Optic Interferometric Accelerometer. - Jiandong Chen; Wenzhi Gao; Tianying Chang; Wei Sun; Zhongmin Wang 003; Miao Yu; Yue Yang; Qunjian Fu; Hong-Liang Cui (IEEE Trans. Instrum. Meas., 2018)

Minibatch and Momentum Model-based Methods for Stochastic Weakly Convex Optimization. - Qi Deng; Wenzhi Gao (NeurIPS, 2021)

Minibatch and Momentum Model-based Methods for Stochastic Non-smooth Non-convex Optimization. - Qi Deng; Wenzhi Gao (CoRR, 2021)

Boosting Method in Approximately Solving Linear Programming with Fast Online Algorithm. - Wenzhi Gao; Chunlin Sun; Yuyang Ye; Yinyu Ye 001 (CoRR, 2021)

A New Fuzzy Comprehensive Evaluation Model for Influencing Factors of Physical Education. - Min Tang; Xiaoxue Si; Ruixue Wang; Wenzhi Gao (Int. J. Emerg. Technol. Learn., 2021)

HDSDP: Software for Semidefinite Programming. - Wenzhi Gao; Dongdong Ge; Yinyu Ye 001 (CoRR, 2022)

Optimal Diagonal Preconditioning: Theory and Practice. - Zhaonan Qu; Wenzhi Gao; Oliver Hinder; Yinyu Ye 001; Zhengyuan Zhou (CoRR, 2022)

Solving Linear Programs with Fast Online Learning Algorithms. - Wenzhi Gao; Dongdong Ge; Chunlin Sun; Yinyu Ye 001 (ICML, 2023)

Delayed Algorithms for Distributed Stochastic Weakly Convex Optimization. - Wenzhi Gao; Qi Deng (NeurIPS, 2023)

Delayed Stochastic Algorithms for Distributed Weakly Convex Optimization. - Wenzhi Gao; Qi Deng (CoRR, 2023)

Pre-trained Mixed Integer Optimization through Multi-variable Cardinality Branching. - Yanguang Chen; Wenzhi Gao; Dongdong Ge; Yinyu Ye 001 (CoRR, 2023)

OptiMUS: Optimization Modeling Using MIP Solvers and large language models. - Ali AhmadiTeshnizi; Wenzhi Gao; Madeleine Udell (CoRR, 2023)

Scalable Approximate Optimal Diagonal Preconditioning. - Wenzhi Gao; Zhaonan Qu; Madeleine Udell; Yinyu Ye 001 (CoRR, 2023)

Constrained Implicit Learning Framework for Neural Network Sparsification. - Alicia Y. Tsai; Wenzhi Gao; Laurent El Ghaoui (ACML, 2024)

OptiMUS: Scalable Optimization Modeling with (MI)LP Solvers and Large Language Models. - Ali AhmadiTeshnizi; Wenzhi Gao; Madeleine Udell (ICML, 2024)

Stochastic Weakly Convex Optimization beyond Lipschitz Continuity. - Wenzhi Gao; Qi Deng (ICML, 2024)

Decoupling Learning and Decision-Making: Breaking the O(T) Barrier in Online Resource Allocation with First-Order Methods. - Wenzhi Gao; Chunlin Sun; Chenyu Xue; Yinyu Ye 001 (ICML, 2024)

OptiMUS-0.3: Using Large Language Models to Model and Solve Optimization Problems at Scale. - Ali AhmadiTeshnizi; Wenzhi Gao; Herman Brunborg; Shayan Talaei; Madeleine Udell (CoRR, 2024)

Wait-Less Offline Tuning and Re-solving for Online Decision Making. - Jingruo Sun; Wenzhi Gao; Ellen Vitercik; Yinyu Ye 001 (CoRR, 2024)

Gradient Methods with Online Scaling. - Wenzhi Gao; Ya-Chi Chu; Yinyu Ye 001; Madeleine Udell (COLT, 2025)

An Enhanced Alternating Direction Method of Multipliers-Based Interior Point Method for Linear and Conic Optimization. - Qi Deng; Qing Feng; Wenzhi Gao; Dongdong Ge; Bo Jiang 007; Yuntian Jiang; Jingsong Liu; Tianhao Liu; Chenyu Xue; Yinyu Ye 001; Chuwen Zhang (INFORMS J. Comput., 2025)

Optimal Diagonal Preconditioning. - Zhaonan Qu; Wenzhi Gao; Oliver Hinder; Yinyu Ye 001; Zhengyuan Zhou (Oper. Res., 2025)

Beyond O(√T) Regret: Decoupling Learning and Decision-making in Online Linear Programming. - Wenzhi Gao; Dongdong Ge; Chenyu Xue; Chunlin Sun; Yinyu Ye 001 (CoRR, 2025)

Provable and Practical Online Learning Rate Adaptation with Hypergradient Descent. - Ya-Chi Chu; Wenzhi Gao; Yinyu Ye 001; Madeleine Udell (CoRR, 2025)

Gradient Methods with Online Scaling Part I. Theoretical Foundations. - Wenzhi Gao; Ya-Chi Chu; Yinyu Ye 001; Madeleine Udell (CoRR, 2025)

Algorithm 1055: HDSDP: Software for Semidefinite Programming. - Wenzhi Gao; Dongdong Ge; Yinyu Ye 001 (ACM Trans. Math. Softw., 2025)