An Automated DICOM Database Capable of Arbitrary Data Mining (Including Radiation Dose Indicators) for Quality Monitoring. - Shanshan Wang; William Pavlicek; Catherine C. Roberts; Steve G. Langer; Muhong Zhang; Mengqi Hu; Richard L. Morin; Beth A. Schueler; Clinton V. Wellnitz; Teresa Wu (J. Digit. Imaging, 2011)

Decentralized operation strategies for an integrated building energy system using a memetic algorithm. - Mengqi Hu; Jeffery D. Weir; Teresa Wu (Eur. J. Oper. Res., 2012)

An intelligent augmentation of particle swarm optimization with multiple adaptive methods. - Mengqi Hu; Teresa Wu; Jeffery D. Weir (Inf. Sci., 2012)

An Adaptive Particle Swarm Optimization With Multiple Adaptive Methods. - Mengqi Hu; Teresa Wu; Jeffery D. Weir (IEEE Trans. Evol. Comput., 2013)

Accuracy vs. robustness: bi-criteria optimized ensemble of metamodels. - Can Cui 002; Teresa Wu; Mengqi Hu; Jeffery D. Weir; Xianghua Chu (WSC, 2014)

An augmented multi-objective particle swarm optimizer for building cluster operation decisions. - Mengqi Hu; Jeffery D. Weir; Teresa Wu (Appl. Soft Comput., 2014)

AHPS2: An optimizer using adaptive heterogeneous particle swarms. - Xianghua Chu; Mengqi Hu; Teresa Wu; Jeffery D. Weir; Qiang Lu (Inf. Sci., 2014)

Nature-Inspired Algorithms for Real-World Optimization Problems. - Wei Fang 001; Xiaodong Li 001; Mengjie Zhang 001; Mengqi Hu (J. Appl. Math., 2015)

A recommendation system for meta-modeling: A meta-learning based approach. - Can Cui 002; Mengqi Hu; Jeffery D. Weir; Teresa Wu (Expert Syst. Appl., 2016)

Range-Dependent Map-Drift Algorithm for Focusing UAV SAR Imagery. - Lei Zhang 019; Mengqi Hu; Guangyong Wang; Hongxian Wang (IEEE Geosci. Remote. Sens. Lett., 2016)

A reliability-based transit trip planning model under transit network uncertainty. - Yang Chen 021; Shu Yang 001; Mengqi Hu; Yao-Jan Wu (Public Transp., 2016)

Attitude estimation of space targets by extracting line features from ISAR image sequences. - Yejian Zhou; Lei Zhang 019; Hongxian Wang; Zhijun Qiao; Mengqi Hu (ICSPCC, 2017)

A comparison analysis of swarm intelligence algorithms for robot swarm learning. - Jiaqi Fan; Mengqi Hu; Xianghua Chu; Dong Yang (WSC, 2017)

An agent-based simulation model for distributed vehicle sharing operations. - Mengqi Hu; Yang Chen 021; Xiaopeng Li; Kaiqi Xiong (WSC, 2017)

A Semi-automated Approach to Improve the Efficiency of Medical Imaging Segmentation for Haptic Rendering. - Pat P. Banerjee; Mengqi Hu; Rahul Kannan; Srinivasan Krishnaswamy (J. Digit. Imaging, 2017)

Developing a CCHP-microgrid operation decision model under uncertainty. - Carlos Antonio Marino; Mohammad Marufuzzaman; Mengqi Hu; M. D. Sarder (Comput. Ind. Eng., 2018)

Novel efficient deployment schemes for sensor coverage in mobile wireless sensor networks. - Wei Fang 001; Xinhong Song; Xiaojun Wu 001; Jun Sun 008; Mengqi Hu (Inf. Fusion, 2018)

Adaptive recommendation model using meta-learning for population-based algorithms. - Xianghua Chu; Fulin Cai; Can Cui 002; Mengqi Hu; Li Li 004; Quande Qin (Inf. Sci., 2019)

基于量化颜色特征和SURF检测器的图像盲鉴别算法 (Blind Image Identification Algorithm Based on HSV Quantized Color Feature and SURF Detector). - Mengqi Hu; Jiming Zheng (计算机科学, 2019)

Epilepsy SEEG Data Classification Based On Domain Adversarial Learning. - Hao Yu; Mengqi Hu (IEEE Access, 2021)

Continuous Model Adaptation Using Online Meta-Learning for Smart Grid Application. - Jinghang Li; Mengqi Hu (IEEE Trans. Neural Networks Learn. Syst., 2021)

Dynamic energy scheduling and routing of a large fleet of electric vehicles using multi-agent reinforcement learning. - Mohammad M. Alqahtani; Michael J. Scott; Mengqi Hu (Comput. Ind. Eng., 2022)

Simultaneous task and energy planning using deep reinforcement learning. - Di Wang 029; Mengqi Hu; Jeffery D. Weir (Inf. Sci., 2022)

A General Framework of Rotational Sparse Approximation in Uncertainty Quantification. - Mengqi Hu; Yifei Lou; Xiu Yang (SIAM/ASA J. Uncertain. Quantification, 2022)

Deep Reinforcement Learning With Graph Representation for Vehicle Repositioning. - Zishun Yu; Mengqi Hu (IEEE Trans. Intell. Transp. Syst., 2022)

Contrastive Learning Methods for Deep Reinforcement Learning. - Di Wang 029; Mengqi Hu (IEEE Access, 2023)

Accelerated Sparse Recovery via Gradient Descent with Nonlinear Conjugate Gradient Momentum. - Mengqi Hu; Yifei Lou; Bao Wang 001; Ming Yan 006; Xiu Yang; Qiang Ye 003 (J. Sci. Comput., 2023)

Deep Deterministic Policy Gradient With Compatible Critic Network. - Di Wang 029; Mengqi Hu (IEEE Trans. Neural Networks Learn. Syst., 2023)

OMMS: Multiple Control based Adaptive 360° Video Streaming. - Ruisi Xu; Chenyu Liu 001; Mengqi Hu; Size Qian; Yuan Zhang 013; Tao Lin 001 (MMSys, 2024)

Tensor Dynamic Mode Decomposition. - Ziqin He; Mengqi Hu; Yifei Lou; Can Chen 003 (CoRR, 2025)