An Optimization Model Based on Game Theory. - Yang Shi; Yongkang Xing; Chao Mou; Zhuqing Kuang (J. Multim., 2014)

Predicting students' performance of an offline course from their online behaviors. - Qing Zhou; Youjie Zheng; Chao Mou (DICTAP, 2015)

Measuring Interpretability for Different Types of Machine Learning Models. - Qing Zhou; Fenglu Liao; Chao Mou; Ping Wang (PAKDD (Workshops), 2018)

Recommending property with short days-on-market for estate agency - A real estate appraisal approach by using transactions data and profile information. - Chao Mou; Qing Zhou; Yinan Ran; Liang Ge; Yong Wang 009 (J. Ambient Intell. Humaniz. Comput., 2018)

Predicting high-risk students using Internet access logs. - Qing Zhou; Wenjun Quan; Yu Zhong; Wei Xiao; Chao Mou; Yong Wang 009 (Knowl. Inf. Syst., 2018)

Design, analysis and verification of recurrent neural dynamics for handling time-variant augmented Sylvester linear system. - Yang Shi 003; Chao Mou; Yimeng Qi; Bin Li 006; Shuai Li 002; Baoqing Yang (Neurocomputing, 2021)

A Recognition Method of Ancient Architectures Based on the Improved Inception V3 Model. - Xinyang Wang; Jiaxun Li; Jin Tao; Ling Wu; Chao Mou; Weihua Bai; Xiaotian Zheng; Zirui Zhu; Zhuohong Deng (Symmetry, 2022)

UAV path planning method for data collection of fixed-point equipment in complex forest environment. - Xiaohui Cui; Yu Wang; Shijie Yang; Hanzhang Liu; Chao Mou (Frontiers Neurorobotics, 2022)

A Spatio-Temporal Neural Network Learning System for City-Scale Carbon Storage Capacity Estimating. - Chao Mou; Maimai Wei; Hanzhang Liu; Zhibo Chen 004; Xiaohui Cui (IEEE Access, 2023)

On the Opportunities of Green Computing: A Survey. - You Zhou; Xiujing Lin; Xiang Zhang 001; Maolin Wang 001; Gangwei Jiang; Huakang Lu; Yupeng Wu; Kai Zhang 038; Zhe Yang; Kehang Wang; Yongduo Sui; Fengwei Jia; et al. (CoRR, 2023)

A new ZNN model for finding discrete time-variant matrix square root: From model design to parameter analysis. - Chao Jiang; Yixiang Zhang; Chao Mou; Bin Li 006; Xiaobing Sun 001; Yang Shi 003 (J. Comput. Appl. Math., 2023)

An Improved Acoustic Diffusion Equation Model for Long-Channel Underground Spaces. - Chao Mou; Qiliang Yang; Jianchun Xing; Tao Chen; Rongwei Zou (Sensors, 2023)

A Discrete Time-Varying Zeroing Neural Dynamics for Solving Equality Constrained Optimization. - Jie Zhou; Qiaowen Shi; Ruicong Wang; Chao Mou; Dimitrios Gerontitis; Yang Shi 003 (ICIRA (3), 2024)

A novel efficient wildlife detecting method with lightweight deployment on UAVs based on YOLOv7. - Chao Mou; Chengcheng Zhu; Tengfei Liu; Xiaohui Cui (IET Image Process., 2024)

Estimating Urban Forests Biomass with LiDAR by Using Deep Learning Foundation Models. - Hanzhang Liu; Chao Mou; Jiateng Yuan; Zhibo Chen 004; Liheng Zhong; Xiaohui Cui (Remote. Sens., 2024)

SW-YOLO: Wildlife Object Detection Based on Segment Anything and YOLO Models. - Qirui Yang; Guoli Liu; Xinrui Zhao; Boxuan Ma; Chao Mou (ISNN, 2025)

Zero-shot image denoising with hollow pair sampling and noise-aware attention. - Sheng Wang; Chaoyue Zhao; Qiao Wang; Mingzhi Liu; Chao Mou; Fu Xu (Pattern Recognit., 2025)