activity
20202026
most citedChance-Constrained Set Covering with Wasserstein Ambiguity

21 citations · 25 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SY2026

Safety-Aware Performance Boosting for Constrained Nonlinear Systems

Danilo Saccani, Haoming Shen, Luca Furieri +1

We study a control architecture for nonlinear constrained systems that integrates a performance-boosting (PB) controller with a scheduled Predictive Safety Filter (PSF). The PSF ac…

math.OC2025

Sequential Quadratic Optimization for Solving Expectation Equality Constrained Stochastic Optimization Problems

Haoming Shen, Yang Zeng, Baoyu Zhou

A sequential quadratic programming method is designed for solving general smooth nonlinear stochastic optimization problems subject to expectation equality constraints. We consider…

cs.LG2025

A Control Perspective on Training PINNs

Matthieu Barreau, Haoming Shen

We investigate the training of Physics-Informed Neural Networks (PINNs) from a control-theoretic perspective. Using gradient descent with resampling, we interpret the training dyna…

math.OC2022

Wasserstein Two-Sided Chance Constraints with An Application to Optimal Power Flow

Haoming Shen, Ruiwei Jiang

As a natural approach to modeling system safety conditions, chance constraint (CC) seeks to satisfy a set of uncertain inequalities individually or jointly with high probability. A…

math.OC2021★ 4 cited

Convex Chance-Constrained Programs with Wasserstein Ambiguity

Haoming Shen, Ruiwei Jiang

Chance constraints yield non-convex feasible regions in general. In particular, when the uncertain parameters are modeled by a Wasserstein ball, arXiv:1806.07418 and arXiv:1809.002…

math.OC2020★ 21 cited

Chance-Constrained Set Covering with Wasserstein Ambiguity

Haoming Shen, Ruiwei Jiang

We study a generalized distributionally robust chance-constrained set covering problem (DRC) with a Wasserstein ambiguity set, where both decisions and uncertainty are binary-value…