Practical approximate projection schemes in greedy signal space methods. - Chris Garnatz; Xiaoyi Gu; Alison Kingman; James LaManna; Deanna Needell; Shenyinying Tu (CoRR, 2014)

A note on practical approximate projection schemes in signal space methods. - Xiaoyi Gu; Deanna Needell; Shenyinying Tu (CoRR, 2015)

Methods for quantized compressed sensing. - Hao-Jun Michael Shi; Mindy Case; Xiaoyi Gu; Shenyinying Tu; Deanna Needell (ITA, 2016)

Optimal occlusion uniformly partitions red blood cells fluxes within a microvascular network. - Shyr-Shea Chang; Shenyinying Tu; Kyung In Baek; Andrew Pietersen; Yu-Hsiu Liu; Van M. Savage; Sheng-Ping L. Hwang; Tzung K. Hsiai; Marcus L. Roper (PLoS Comput. Biol., 2017)

Optimizing Quantization for Lasso Recovery. - Xiaoyi Gu; Shenyinying Tu; Hao-Jun Michael Shi; Mindy Case; Deanna Needell; Yaniv Plan (IEEE Signal Process. Lett., 2018)

A Two-Stage Decomposition Approach for AC Optimal Power Flow. - Shenyinying Tu; Andreas Wächter; Ermin Wei (CoRR, 2020)

Provably Efficient Reinforcement Learning for Online Adaptive Influence Maximization. - Kaixuan Huang; Yu Wu; Xuezhou Zhang; Shenyinying Tu; Qingyun Wu; Mengdi Wang; Huazheng Wang (CoRR, 2022)

Recent Developments in Security-Constrained AC Optimal Power Flow: Overview of Challenge 1 in the ARPA-E Grid Optimization Competition. - Ignacio Aravena; Daniel K. Molzahn; Shixuan Zhang; Cosmin G. Petra; Frank E. Curtis; Shenyinying Tu; Andreas Wächter; Ermin Wei; Elizabeth Wong; Amin Gholami; Kaizhao Sun; Xu Andy Sun; et al. (Oper. Res., 2023)

A Decomposition Algorithm with Fast Identification of Critical Contingencies for Large-Scale Security-Constrained AC-OPF. - Frank E. Curtis; Daniel K. Molzahn; Shenyinying Tu; Andreas Wächter; Ermin Wei; Elizabeth Wong (Oper. Res., 2023)