The covariance of uncertain variables: definition and calculation formulae. - Mingxuan Zhao; Yuhan Liu; Dan A. Ralescu; Jian Zhou 003 (Fuzzy Optim. Decis. Mak., 2018)

The Operational Law of Uncertain Variables With Continuous Uncertainty Distributions. - Ke Wang 004; Mingxuan Zhao; Jian Zhou 003; Yulin Han (IEEE Trans. Fuzzy Syst., 2018)

Entropy and Semi-Entropies of LR Fuzzy Numbers' Linear Function with Applications to Fuzzy Programming. - Jian Zhou 003; Chuan Huang; Mingxuan Zhao; Hui Li (Entropy, 2019)

Performance of Different Risk Indicators in a Multi-Period Polynomial Portfolio Selection Problem Based on the Credibility Measure. - Jian Zhou 003; Jie Shen; Ziheng Zhao; Yujie Gu; Mingxuan Zhao (Entropy, 2019)

Multivariate uncertain risk aversion with application to accounts receivables pricing. - Ke Wang 004; Xiaolin Huang; Shuang Hu; Hongwei Wang 009; Mingxuan Zhao; Jian Zhou 003 (Soft Comput., 2022)

An extensive operational law for monotone functions of LR fuzzy intervals with applications to fuzzy optimization. - Mingxuan Zhao; Yulin Han; Jian Zhou 003 (Soft Comput., 2022)

QFD-Based Product Design for Multisegment Markets: A Fuzzy Chance-Constrained Programming Approach. - Xinghua Fang; Yixuan Shen; Jian Zhou 003; Athanasios A. Pantelous; Mingxuan Zhao (IEEE Trans. Engineering Management, 2022)

Project scheduling problem with fuzzy activity durations: A novel operational law based solution framework. - Mingxuan Zhao; Jian Zhou 003; Ke Wang 004; Athanasios A. Pantelous (Eur. J. Oper. Res., 2023)

Optimal Government Subsidy Decision and Its Impact on Sustainable Development of a Closed-Loop Supply Chain. - Yujie Gu; Menghao Xue; Mingxuan Zhao; Yufu Long (Syst., 2023)

A novel two-phase approach for a sustainable p-hub median problem with multiple service levels and carbon cap-and trade policy under uncertainty. - Yujie Gu; Menghao Xue; Hui Ma; Yifan Luo; Mingxuan Zhao; Jian Zhou 003 (Int. J. Gen. Syst., 2024)

Towards More Discriminative Feature Learning in SNNs with Temporal-Self-Erasing Supervision. - Wei Liu; Li Yang; Mingxuan Zhao; Dengfeng Xue; Shuxun Wang; Boyu Cai; Jin Gao; Wenjuan Li; Bing Li; Weiming Hu (AAAI, 2025)

DeepTAGE: Deep Temporal-Aligned Gradient Enhancement for Optimizing Spiking Neural Networks. - Wei Liu; Li Yang; Mingxuan Zhao; Shuxun Wang; Jin Gao; Wenjuan Li; Bing Li; Weiming Hu (ICLR, 2025)