A metamodeling-based approach for production planning. - Minqi Li; Feng Yang 016; Jie Xu 004 (WSC, 2014)

Vertex coloring based logical channel mapping for frequency hopping transmission in next generation broadcasting wireless systems. - Fei Qu; Jinfeng Tian; Minqi Li; Xiaomin Mu (ChinaCom, 2015)

Face hallucination based on nonparametric Bayesian learning. - Minqi Li; Richard Yi Da Xu; Xiangjian He (ICIP, 2015)

Robust retinal vessel segmentation via clustering-based patch mapping functions. - Haiying Xia; Shuaifei Deng; Minqi Li; Frank Jiang 001 (BIBM, 2016)

Bayesian nonparametric modeling and its applications - Minqi Li (2016)

Classification based on deep convolutional neural networks with hyperspectral image. - Zezhong Zheng; Yameng Zhang; Liutong Li; Mingcang Zhu; Yong He 007; Minqi Li; Zhengqiang Guo; Yue He; Zhenlu Yu; Xiaocheng Yang; Xin Liu; Jianhua Luo; et al. (IGARSS, 2017)

Learning stacking regressors for single image super-resolution. - Kaibing Zhang; Shuang Luo; Minqi Li; Junfeng Jing; Jian Lu; Zenggang Xiong (Appl. Intell., 2020)

An efficient semi-supervised manifold embedding for crowd counting. - Kaibing Zhang; Huake Wang; Wei Liu; Minqi Li; Jian Lu; Zhonghua Liu (Appl. Soft Comput., 2020)

Fast non-rigid points registration with cluster correspondences projection. - Minqi Li; Richard Yida Xu; Jing Xin; Kaibing Zhang; Junfeng Jing (Signal Process., 2020)

A New Classifier by Remixing Features and Adjusting Logits for Long-Tailed Visual Data. - Xiyan Deng; Yuping Wang 003; Minqi Li (CIS, 2021)

Face hallucination based on cluster consistent dictionary learning. - Minqi Li; Xiangjian He; Kin-Man Lam 001; Kaibing Zhang; Junfeng Jing (IET Image Process., 2021)

Multi-level landmark-guided deep network for face super-resolution. - Cheng Zhuang; Minqi Li; Kaibing Zhang; Zheng Li; Jian Lu (Neural Networks, 2022)

Salient double reconstruction-based discriminative projective dictionary pair learning for crowd counting. - Tao Wang; Hao Luo; Kaibing Zhang; Huake Wang; Minqi Li; Jian Lu (Appl. Intell., 2023)

Context Attention Fusion Network for crowd counting. - Tao Wang; Ting Zhang; Kaibing Zhang; Huake Wang; Minqi Li; Jian Lu (Knowl. Based Syst., 2023)

Multi-Branch and Progressive Network for Low-Light Image Enhancement. - Kaibing Zhang; Cheng Yuan; Jie Li 001; Xinbo Gao 001; Minqi Li (IEEE Trans. Image Process., 2023)

VITON-DRR: Details retention virtual try-on via non-rigid registration. - Ben Li; Minqi Li; Jie Ren; Kaibing Zhang (Comput. Graph., 2025)

Learning scalable Omni-scale distribution for crowd counting. - Huake Wang; Xingsong Hou; Kaibing Zhang; Xin Zeng; Minqi Li; Wenke Sun; Xueming Qian (J. Vis. Commun. Image Represent., 2025)

LiteSpiralGCN: Lightweight 3D hand mesh reconstruction via spiral graph convolution. - Yiteng Wang; Minqi Li; Kaibing Zhang; Xiangjian He (Appl. Intell., 2025)

EIFA-KD: Explicit and implicit feature augmentation with knowledge distillation for long-tailed visual data classification. - Xiyan Deng; Xiaoli Wang 001; Yifan Sun; Xusheng Zhao; Siju Tian; Minqi Li; Yuping Wang 003 (Pattern Recognit., 2026)