Research

Publications

[1] Jiang, N., Xie, W. (2022) ALSO-X and ALSO-X+: Better Convex Approximations for Chance Constrained Programs. Operations Research 70(6):3581-3600. [Paper][Preprint]

[2] Jiang, N., Xie, W. (2024) Distributionally Favorable Optimization: A Framework for Data-driven Decision-making with Endogenous Outliers. SIAM Journal on Optimization 34(1):419–458. [Paper][Preprint]

[3] Jiang, N., Xie, W. (2025) The Terminator: An Integration of Inner and Outer Approximations for Solving Wasserstein Distributionally Robust Chance Constrained Programs via Variable Fixing. INFORMS Journal on Computing 37(2):381–412. [Paper][Preprint]

[4] Jiang, N., Xie, W. (2025) ALSO-X#: Better Convex Approximations for Distributionally Robust Chance Constrained Programs. Mathematical Programming 213:575–638. [Paper][Preprint]

[5] Han, D., Jiang, N., Dey, S., Xie, W. (2026) Regularized MIP Model for Integrating Energy Storage Systems and Its Application for Solving a Trilevel Interdiction Problem. INFORMS Journal on Computing 38(3):729-744. [Paper][Preprint] (Featured article in the May-June 2026 issue)

[6] Jiang, N., Xie, W. (2025) On Tractability, Complexity, and Mixed-Integer Convex Programming Representability of Distributionally Favorable Optimization. Mathematical Programming. [Paper][Preprint]

[7] Dey, S., Jiang, N., Kazachkov, A., Lodi, A., Muñoz, G. (2026) Chvátal-Gomory Rounding of Eigenvector Inequalities for QCQPs. SIAM Journal on Optimization. [Preprint]

[8] Chen, R., Liu, D., Jiang, N., Gupta, R., Kilinc, M., Lodi, A. (2026) Learning Large Neighborhood Search for Maritime Inventory Routing Optimization. International Transactions in Operational Research. [Paper][Preprint]

[9] Yang, Y.*, Jiang, N., Wang, F. (2026) Real-Time Control of Proton Therapy Delivery Using Two-Stage Stochastic Programming. IEEE Transactions on Automation Science and Engineering 23:7264-7279. [Paper]

[10] Li, S., Jiang, N., Chen, Y., Xie, W.,  Lou, W., Hou, T. (2024) MU-MIMO Beamforming with Limited Channel Data Samples. IEEE Journal on Selected Areas in Communications 42(11):3032-3047. [Paper]

[11] Li, S., Jiang, N., Li, C.,  Acharya, S., Wu, Y., Xie, W.,  Lou, W., Hou, T. (2025) Real-Time MU-MIMO Beamforming with Limited Channel Samples in 5G Networks. IEEE Transactions on Mobile Computing 24(12): 13549-13566. [Paper]

[12] Acharya, S., Li, S., Wu, Y., Jiang, N., Xie, W., Lou, W., Hou, T.  (2025) A New Approach to Tackle Channel Uncertainty with Limited Data Samples. IEEE Wireless Communications 32 (5): 179-186. [Paper]

[13] Acharya, S., Li, S., Wu, Y., Jiang, N., Lou, W., Hou, T.  (2025) Spectrum-Efficient Solution with Data Rate Guarantees in 5G/Next-G Networks. IEEE Internet of Things Journal 12(21): 44578-44593. [Paper]

[14] Acharya, S., Li, S., Jiang, N., Wu, Y., Xie, W., Lou, W., Hou, T.  (2026) Real-Time Scheduling for GAA Users' Coexistence in CBRS Using O-RAN Architecture. IEEE Transactions on Cognitive Communications and Networking 12: 2573-2589. [Paper]

Working Papers

[1] Li, Z.*, Jiang, N., Jiang. R. (2026) Solving Chance Constrained Programs via a Penalty-based Difference-of-Convex Approach. [Preprint] (Runner-up, 2026 INFORMS Computing Society (ICS) Student Paper Award)

[2] Jiang, N., Chen, R. (2026) Tightening CVaR Approximations via Scenario-Wise Scaling for Chance-Constrained Programming. [Preprint]

[3] Yang, H., Jiang, N., Lyu. G. (2026) Contextual Distributionally Robust Chance-Constrained Programs: Exact Reformulations and Valid Inequalities. [Preprint]

Book Chapters

[1] Jiang, N., Xie, W. (2023) Distributionally Robust Two-stage Linear Programs with Wasserstein Distance: Tractable Formulations. Encyclopedia of Optimization. [Paper]