Production, Capacity, and Liquidity of a Self-Financed Firm. - Jie Ning (Found. Trends Technol. Inf. Oper. Manag., 2017)

Risk-Aversion and B2B Contracting Under Asymmetric Information: Evidence from Managed Print Services. - Jie Ning; Volodymyr Babich; John C. Handley; Jussi Keppo (Oper. Res., 2018)

R&D Investments in the Presence of Knowledge Spillover and Debt Financing: Can Risk Shifting Cure Free Riding? - Jie Ning; Volodymyr Babich (Manuf. Serv. Oper. Manag., 2018)

Production and Capacity Management with Internal Financing. - Jie Ning; Matthew J. Sobel (Manuf. Serv. Oper. Manag., 2018)

Easy Affine Markov Decision Processes. - Jie Ning; Matthew J. Sobel (Oper. Res., 2019)

Towards an Improved Model for 65-nm CMOS at Cryogenic Temperatures. - Jie Ning; Matthew Schormans; Andreas Demosthenous (ISCAS, 2020)

Improved heuristics for finding balanced teams. - Daniel Solow; Jie Ning; Jieying Zhu; Yishen Cai (IISE Trans., 2020)

Measurement-Based Channel Characterization for 5G Downlink Based on Passive Sounding in Sub-6 GHz 5G Commercial Networks. - Tianqi Wu; Xuefeng Yin; Linjian Zhang; Jie Ning (IEEE Trans. Wirel. Commun., 2021)

Strategic Trade Credit in a Supply Chain with Buyer Competition. - Jie Ning (Manuf. Serv. Oper. Manag., 2022)

Evaluating Similitude and Robustness of Deep Image Denoising Models via Adversarial Attack. - Jie Ning; Yao Li; Zhichang Guo (CoRR, 2023)

Exploring The Robustness Of Deep Image Despeckling Models in an Adversarial Perspective. - Jie Ning; Yao Li; Zhichang Guo; Jiebao Sun; Shengzhu Shi; Enzhe Zhao; Boying Wu (IGARSS, 2024)

Large Language Models for Multimodal Deformable Image Registration. - Mingrui Ma; Weijie Wang; Jie Ning; Jianfeng He; Nicu Sebe; Bruno Lepri (CoRR, 2024)

Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling. - Jie Ning; Jiebao Sun; Shengzhu Shi; Zhichang Guo; Yao Li; Hongwei Li; Boying Wu (CoRR, 2024)