FPGA-based PV systems fuzzy MPPT control algorithm. - Ze Cheng; Hongzhi Yang; Ying Sun (FSKD, 2010)

Estimation of State of Charge for Lithium-Ion Battery Based on Finite Difference Extended Kalman Filter. - Ze Cheng; Jikao Lv; Yanli Liu; Zhihao Yan (J. Appl. Math., 2014)

A New Method of PV Array Faults Diagnosis in Smart Grid. - Ze Cheng; Yucui Wang; Silu Cheng (J. Appl. Math., 2014)

Real-time Path Planning Strategy for UAV Based on Improved Particle Swarm Optimization. - Ze Cheng; Ergang Wang; Yixin Tang; Yucui Wang (J. Comput., 2014)

The distance between fuzzy sets in fuzzy metric spaces. - Minxia Luo; Ze Cheng (FSKD, 2015)

Robustness of interval-valued universal triple I algorithms. - Minxia Luo; Ze Cheng; Jiao Wu (J. Intell. Fuzzy Syst., 2016)

区间值三I算法的鲁棒性 (Robustness of Interval-valued Triple I Algorithms). - Minxia Luo; Ze Cheng (计算机科学, 2016)

Efficient flash-aware page-mapping cache management for on-board remote sensing image processing. - Tong Zhang 009; Ping Luo; Ze Cheng; Jing Li 029 (J. Syst. Archit., 2018)

Power prediction method of lithium-ion battery for unmanned vehicles based on combined constraint intelligence algorithm. - Ze Cheng; Yuhan Xing; Silu Cheng; Peiyao Guo (Clust. Comput., 2019)

Reinforcement learning-driven address mapping and caching for flash-based remote sensing image processing. - Tong Zhang 009; Ze Cheng; Jing Li 029 (J. Syst. Archit., 2019)

Revisiting Factorizing Aggregated Posterior in Learning Disentangled Representations. - Ze Cheng; Juncheng Li 001; Chenxu Wang; Jixuan Gu; Hao Xu; Xinjian Li; Florian Metze (CoRR, 2020)

A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs. - Songming Liu; Zhongkai Hao; Chengyang Ying; Hang Su 006; Jun Zhu 001; Ze Cheng (NeurIPS, 2022)

Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients. - Zhongkai Hao; Chengyang Ying; Hang Su 006; Jun Zhu 001; Jian Song; Ze Cheng (ICLR, 2023)

GNOT: A General Neural Operator Transformer for Operator Learning. - Zhongkai Hao; Zhengyi Wang; Hang Su 006; Chengyang Ying; Yinpeng Dong; Songming Liu; Ze Cheng; Jian Song; Jun Zhu 001 (ICML, 2023)

NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data. - Songming Liu; Zhongkai Hao; Chengyang Ying; Hang Su 006; Ze Cheng; Jun Zhu 001 (ICML, 2023)

Accurate Thermodynamic Properties of Ideal Bosons in a Highly Anisotropic 2D Harmonic Potential. - Ze Cheng (Entropy, 2023)

Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations. - Ze Cheng; Zhongkai Hao; Xiaoqiang Wang; Jianing Huang; Youjia Wu; Xudan Liu; Yiru Zhao; Songming Liu; Hang Su 006 (ICML, 2024)

Operator Learning with Domain Decomposition for Geometry Generalization in PDE Solving. - Jianing Huang; Kaixuan Zhang; Youjia Wu; Ze Cheng (CoRR, 2025)

Accelerating PDE-Constrained Optimization by the Derivative of Neural Operators. - Ze Cheng; Zhuoyu Li; Xiaoqiang Wang; Jianing Huang; Zhizhou Zhang; Zhongkai Hao; Hang Su 006 (CoRR, 2025)