An improved time-frequency phase adjustment technique for ISAR. - Mengmeng Zhu; Junfeng Wang 001; Xingzhao Liu (IGARSS, 2007)

A comparison analysis of environmental factors affecting software reliability. - Mengmeng Zhu; Xuemei Zhang; Hoang Pham (J. Syst. Softw., 2015)

Computational Modeling of the Individualized Knowledge Building in a Constructivist Way. - Mengmeng Zhu; Defang Zhao; Juan Yang (SKG, 2016)

A software reliability model with time-dependent fault detection and fault removal. - Mengmeng Zhu; Hoang Pham (Vietnam. J. Comput. Sci., 2016)

A Cognitive-Related Entity and Relation Extraction Model for Online Tutoring Systems. - Mengmeng Zhu; Defang Zhao; Juan Yang (SKG, 2017)

Environmental factors analysis and comparison affecting software reliability in development of multi-release software. - Mengmeng Zhu; Hoang Pham (J. Syst. Softw., 2017)

A multi-release software reliability modeling for open source software incorporating dependent fault detection process. - Mengmeng Zhu; Hoang Pham (Ann. Oper. Res., 2018)

A two-phase software reliability modeling involving with software fault dependency and imperfect fault removal. - Mengmeng Zhu; Hoang Pham (Comput. Lang. Syst. Struct., 2018)

Separate Answer Decoding for Multi-class Question Generation. - Kaili Wu; Yu Hong 001; Mengmeng Zhu; Hongxuan Tang; Min Zhang 005 (IALP, 2019)

MiPepid: MicroPeptide identification tool using machine learning. - Mengmeng Zhu; Michael Gribskov (BMC Bioinform., 2019)

An Indoor Global Localization Technique for Mobile Robots in Long Straight Environments. - Lingdong Zeng; Shuai Guo 007; Zhen Xu; Mengmeng Zhu (IEEE Access, 2020)

Protein docking model evaluation by 3D deep convolutional neural networks. - Xiao Wang 013; Genki Terashi; Charles Christoffer; Mengmeng Zhu; Daisuke Kihara (Bioinform., 2020)

Automatic Detection of Display Defects for Smart Meters based on Deep Learning. - Ye Chen; Zhihu Hong; Yaohua Liao; Mengmeng Zhu; Tong Han; Quan Shen (J. Comput. Inf. Technol., 2020)

ReadNet: Towards Accurate ReID with Limited and Noisy Samples. - Yitian Li; Ruini Xue; Mengmeng Zhu; Qing Xu; Zenglin Xu (CoRR, 2020)

An Empirical Study of Factor Identification in Smart Health-Monitoring Wearable Device. - Mengmeng Zhu; Hoang Pham (IEEE Trans. Comput. Soc. Syst., 2020)

A Feature Fusion Method Based on Multi-Classification Losses for Fine-Grained Visual Categorization. - Mengmeng Zhu; Shouhong Wan; Peiquan Jin; Qijun Tian (IEEE BigData, 2021)

Saliency-Guided Transformer Network combined with Local Embedding for No-Reference Image Quality Assessment. - Mengmeng Zhu; Guanqun Hou; Xinjia Chen; Jiaxing Xie; Haixian Lu; Jun Che (ICCVW, 2021)

A Similarity Constraint Divergent Activation Method for Weakly Supervised Object Detection in Remote Sensing Images. - Mengmeng Zhu; Shouhong Wan; Peiquan Jin; Jian Xu (ICIG (1), 2021)

Angular Triplet Loss-based Camera Network for ReID. - Yitian Li; Ruini Xue; Mengmeng Zhu; Jing Xu; Zenglin Xu (IJCNN, 2021)

A Random-Field-Environment-Based Multidimensional Time-Dependent Resilience Modeling of Complex Systems. - Mengmeng Zhu; Xueqing Huang; Hoang Pham (IEEE Trans. Comput. Soc. Syst., 2021)

DFFNet: Dynamic Feature Fusion Network for Weakly Supervised Object Detection in Remote Sensing Images. - Mengmeng Zhu; Shouhong Wan; Peiquan Jin; Peiyi Zhang (IEEE Big Data, 2022)

Research on Power Line Communication Path Search under the Background of New Energy Access. - Zhaolei He; Mengmeng Zhu; Cong Lin; Jin Liu; Rui Fang; Lei Wan (ICCT, 2022)

Evaluation of Critical Node Groups in Cyber-Physical Power Systems Based on Pinning Control Theory. - Yan Li 095; Shiqi Zhang; Tianqi Xu; Mengmeng Zhu; Zhaolei He (IEEE Access, 2022)

Expected Failure Method and Its Analysis for Safety Evaluation in a Cyber-Physical Power System. - Yan Wang; Chengcheng Feng; Yan Li 095; Tianqi Xu; Mengmeng Zhu (IEEE Access, 2022)

Interval Prediction Method for Wind Power Based on VMD-ELM/ARIMA-ADKDE. - Tianqi Xu; Yulong Du; Yan Li 095; Mengmeng Zhu; Zhaolei He (IEEE Access, 2022)

A new framework of complex system reliability with imperfect maintenance policy. - Mengmeng Zhu (Ann. Oper. Res., 2022)

A generalized multiple environmental factors software reliability model with stochastic fault detection process. - Mengmeng Zhu; Hoang Pham (Ann. Oper. Res., 2022)

A deep local attention network for pre-operative lymph node metastasis prediction in pancreatic cancer via multiphase CT imaging. - Zhilin Zheng; Xu Fang; Jiawen Yao; Mengmeng Zhu; Le Lu 001; Lingyun Huang; Jing Xiao 006; Yu Shi; Hong Lu; Jianping Lu; Ling Zhang 002; Chengwei Shao; et al. (CoRR, 2023)

Research on line loss analysis and intelligent diagnosis of abnormal causes in distribution networks: artificial intelligence based method. - Yaohua Liao; Wang En; Bo Li; Mengmeng Zhu; Bo Li; Zhengxing Li; Zhiming Gui (PeerJ Comput. Sci., 2023)

Adaptive evolutionary jellyfish search algorithm based optimal photovoltaic array reconfiguration under partial shading condition for maximum power extraction. - Bo Yang; Mengting Zhang; Zhengxun Guo; Pulin Cao; Jin Yang; Guobin He; Jinxin Yang; Rui Su; Xuyong Huang; Mengmeng Zhu; Hai Lu; Dongdong Zhu (Expert Syst. Appl., 2023)

The existence and nonlinear stability of stationary solutions to inflow problem for a reduced gravity two and a half layer model. - Mengmeng Zhu; Haibo Cui (Appl. Math. Lett., 2024)

Convolutional neural network based multi-input multi-output model for multi-sensor multivariate virtual metrology in semiconductor manufacturing. - Jeongsub Choi; Mengmeng Zhu; Jihoon Kang; Myong K. Jeong (Ann. Oper. Res., 2024)

Methods for Evaluating Critical Lines and Nodes in Cyber-Physical Power Systems From Three Network Perspectives. - Yan Li; Yaodong Ge; Ying Zhao; Tianqi Xu; Marwen Abdennebi; Mengmeng Zhu (IEEE Syst. J., 2024)

YOLO-FAS: A lightweight model for detecting rebar intersections location and tying status. - Hao Duan; Mingming Yu; Tengfeng Ai; Mengmeng Zhu; Haili Jiang; Shuai Guo (Neurocomputing, 2025)

Damage-resistant CPS reliability modeling considering coupled system resistance effects. - Huizhong Lin; Mengmeng Zhu (Reliab. Eng. Syst. Saf., 2025)

Deep Attention Learning for Pre-operative Lymph Node Metastasis Prediction in Pancreatic Cancer via Multi-object Relationship Modeling. - Zhilin Zheng; Xu Fang; Jiawen Yao; Mengmeng Zhu; Le Lu 001; Yu Shi; Hong Lu; Jianping Lu; Ling Zhang 002; Chengwei Shao; Yun Bian (Int. J. Comput. Vis., 2025)

A Personalized Individual Semantic Extraction Model Based on Criterion for Adaptive Consensus Reaching Process Under Improved Basic Uncertain Linguistic Environment. - Mengmeng Zhu; Junjun Mao; Wei Xu (Int. J. Inf. Technol. Decis. Mak., 2025)

Correction: Deep Attention Learning for Pre-operative Lymph Node Metastasis Prediction in Pancreatic Cancer via Multi-object Relationship Modeling. - Zhilin Zheng; Xu Fang; Jiawen Yao; Mengmeng Zhu; Le Lu 001; Yu Shi; Hong Lu; Jianping Lu; Ling Zhang 002; Chengwei Shao; Yun Bian (Int. J. Comput. Vis., 2025)