Research on Logging Evaluation of Reservoir Contamination Based on PSO-BP Neural Network. - Tao Li 017; Libo Guo; Yuanmei Wang; Feng Hu; Li Xiao; Yanwu Wang; Qin Cheng (ISNN (2), 2009)

Gaze location prediction for broadcast football video using Bayesian integration of low level features and top-down cues. - Qin Cheng; Dimitris Agrafiotis; Alin Achim; David R. Bull (ICIP, 2013)

Gaze Location Prediction for Broadcast Football Video. - Qin Cheng; Dimitris Agrafiotis; Alin Achim; David R. Bull (IEEE Trans. Image Process., 2013)

End to end video distortion estimation with advanced error concealment considerations. - Qin Cheng; Dimitris Agrafiotis (VCIP, 2014)

Usability study of the mobile library App: an example from Chongqing University. - Qunyi Wei; Zhaoxin Chang 002; Qin Cheng (Libr. Hi Tech, 2015)

Detecting Travel Modes Using Rule-Based Classification System and Gaussian Process Classifier. - Guangnian Xiao; Qin Cheng; Chunqin Zhang (IEEE Access, 2019)

Detecting travel modes from smartphone-based travel surveys with continuous hidden Markov models. - Guangnian Xiao; Qin Cheng; Chunqin Zhang (Int. J. Distributed Sens. Networks, 2019)

Explore on Doctor's Head Orientation Tracking for Patient's Body Surface Projection Under Complex Illumination Conditions. - Haibin Wu; Bei-yi Wang; Xiaoyang Yu; Yanqiao Zhao; Qin Cheng (J. Medical Imaging Health Informatics, 2019)

Multiple Time Scale Motion Images for Action Recognition. - Qin Cheng; Ziliang Ren; Jianming Liu; Jun Cheng 002 (HealthCom, 2020)

Skeleton-based Action Recognition with Multi-scale Spatial-temporal Convolutional Neural Network. - Qin Cheng; Ziliang Ren; Jun Cheng 002; Qieshi Zhang; Hao Yan; Jianming Liu (RCAR, 2021)

Two Stream Dynamic Threshold Network for Weakly-Supervised Temporal Action Localization. - Hao Yan; Jun Cheng 002; Qieshi Zhang; Ziliang Ren; Shijie Sun; Qin Cheng (RCAR, 2021)

Container liner shipping network design with shipper's dual preference. - Qin Cheng; Chuanxu Wang (Comput. Oper. Res., 2021)

Structure-Preserving View-Invariant Skeleton Representation for Action Detection. - Hushan Qin; Jun Cheng 002; Chengqun Song; Fusheng Hao; Qin Cheng (ICPR, 2022)

Spatial-Temporal Information Aggregation and Cross-Modality Interactive Learning for RGB-D-Based Human Action Recognition. - Qin Cheng; Zhen Liu; Ziliang Ren; Jun Cheng 002; Jianming Liu (IEEE Access, 2022)

Non-contact screening system based for COVID-19 on XGBoost and logistic regression. - Chunjiao Dong; Yixian Qiao; Chun-Heng Shang; Xiwen Liao; Xiaoning Yuan; Qin Cheng; Yuxuan Li; Jianan Zhang; Yunfeng Wang; Yahong Chen; Qinggang Ge; Yurong Bao (Comput. Biol. Medicine, 2022)

Device-Free Localization via Sparse Coding with a Generalized Thresholding Algorithm. - Qin Cheng; Linghua Zhang; Bo Xue 001; Feng Shu; Yang Yu 005 (IEICE Trans. Commun., 2022)

MixPose: 3D Human Pose Estimation with Mixed Encoder. - Jisheng Cheng; Qin Cheng; Mengjie Yang; Zhen Liu; Qieshi Zhang; Jun Cheng 002 (PRCV (8), 2023)

A generalized thresholding algorithm with dimension reduction for device-free localization in IoT. - Qin Cheng; Linghua Zhang; Bo Xue; Feng Shu; Xu Wang (Appl. Intell., 2023)

Cross-scale cascade transformer for multimodal human action recognition. - Zhen Liu; Qin Cheng; Chengqun Song; Jun Cheng 002 (Pattern Recognit. Lett., 2023)

Multi-scale spatial-temporal convolutional neural network for skeleton-based action recognition. - Qin Cheng; Jun Cheng 002; Ziliang Ren; Qieshi Zhang; Jianming Liu (Pattern Anal. Appl., 2023)

A Dense-Sparse Complementary Network for Human Action Recognition based on RGB and Skeleton Modalities. - Qin Cheng; Jun Cheng 002; Zhen Liu; Ziliang Ren; Jianming Liu (Expert Syst. Appl., 2024)

RU-SLAM: A Robust Deep-Learning Visual Simultaneous Localization and Mapping (SLAM) System for Weakly Textured Underwater Environments. - Zhuo Wang; Qin Cheng; Xiaokai Mu (Sensors, 2024)

A cognitive strategy for service robots in recognizing emotional attribute of objects. - Hao Wu; Jiaxuan Du; Qin Cheng; Qing Ma (Artif. Life Robotics, 2024)

Cross-domain self-supervised learning for local feature point detection and description of underwater images. - Qin Cheng; Zhuo Wang 008; Hongde Qin; Xiaokai Mu (Digit. Signal Process., 2025)

Semi-supervised fault diagnosis of bearings under noisy environments with limited labeled samples. - Wenxuan Zhao; Jianxiong Gao; Qin Cheng; Yiping Yuan; Jianxing Zhou (Neurocomputing, 2025)