Tracking Public Concerns: How Mobile Service Providers Understand Their Users? - Bin Zhou 004; Lei Deng; Jingze Li (IEEE MS, 2015)

Application of GPS Trajectory Data for Investigating the Interaction between Human Activity and Landscape Pattern: A Case Study of the Lijiang River Basin, China. - Jun Li 021; Yuan Zhang 010; Xiang Wang; Qiming Qin; Zhuangzhuang Wei; Jingze Li (ISPRS Int. J. Geo Inf., 2016)

Intellectual property licensing tensions in incorporating open source into formal standard setting context - The case of Apache V.2 in ETSI as a start. - Jingze Li (Kaleidoscope, 2017)

Intellectual property licensing tensions: utilising open source software in the formal standard-setting context. - Jingze Li (Eur. J. Law Technol., 2018)

Dynamic Lane Traffic Signal Control with Group Attention and Multi-Timescale Reinforcement Learning. - Qize Jiang; Jingze Li; Weiwei Sun 008; Baihua Zheng (IJCAI, 2021)

Collaborative Prediction of Examinee Performance based on Fuzzy Cognitive Diagnosis via cloud model. - Zhuoxuan Huang; Hua Ma 002; Wensheng Tang; Jingze Li (CSCWD, 2022)

Port Container Throughput Prediction Based on Variational AutoEncoder. - Jingze Li; Shengmin Shi; Tongbing Chen; Yu Tian; Yihua Ding; Yiyong Xiao; Weiwei Sun 008 (DASFAA (2), 2022)

A Novel Contrastive Learning Framework for Self-Supervised Anomaly Detection. - Jingze Li; Zhichao Lian; Min Li (ICIP, 2022)

Application of Six Metaheuristic Optimization Algorithms and Random Forest in the uniaxial compressive strength of rock prediction. - Jingze Li; Chuanqi Li; Shao-He Zhang (Appl. Soft Comput., 2022)

Multi-party Cooperative Network Fault Management Mechanism based on Federated Learning. - Yunzhou Dong; Detai Pan; Jingze Li; Qiujia Fu; Minglu Qi; Zhengdong Lin; Yingkun Liao; Peng Lin (BMSB, 2023)

Virtual Network Fault Management Platform and Mechanism based on Big Data. - Yan Wang; Yunzhou Dong; Guanliang Chen; Jingze Li; Zhengdong Lin; Yingkun Liao; Peng Lin (BMSB, 2023)

Research on Vegetable Sales Forecasting and Pricing Optimization Based on ARIMA and Greedy Algorithm. - Qiyuan Zheng; Hanlin Feng; Jingze Li (ICEITSA, 2023)

Predicting Student Performance in Future Exams via Neutrosophic Cognitive Diagnosis in Personalized E-Learning Environment. - Hua Ma 002; Zhuoxuan Huang; Wensheng Tang; Haibin Zhu 001; Hong-Yu Zhang 001; Jingze Li (IEEE Trans. Learn. Technol., 2023)

Influence of Different Building Conditions on Land Surface Temperature. - Zhipeng Zheng; Fengmin Wu; Chao Yuan; Xia Long; Jingze Li; Wenjie Dong; Bin Zhang; Jun Liu (IGARSS, 2024)

Leader Reward for POMO-Based Neural Combinatorial Optimization. - Chaoyang Wang; Pengzhi Cheng; Jingze Li; Weiwei Sun (CoRR, 2024)

Collaborative Optimization of Learning Team Formation Based on Multidimensional Characteristics and Constraints Modeling: A Team Leader-Centered Approach via E-CARGO. - Hua Ma 002; Jingze Li; Haibin Zhu 001; Wensheng Tang; Zhuoxuan Huang; Yuqi Tang (IEEE Trans. Comput. Soc. Syst., 2024)

A Nonlinear 3-D Hybrid Model for Surface-Mounted Permanent Magnet Machines Considering End Effect. - Jingze Li; Lijian Wu (IEEE Trans. Ind. Electron., 2024)

Gamified Crowdfunding: A Study on the Impact of Gamification Elements on Value Co-creation in "MoDian" APP'S Designer Toy Crowdfunding Projects. - Yuanyue Feng; Jingpei Zhang; Jingze Li; Xueying Zhang; Congcong Yang (WHICEB (2), 2025)

A new InSAR-based framework for assessing tailings dam failure risks: With the robust separation of consolidation settlements. - Zefa Yang; Xiangyu Huang; Jingze Li; Zhiwei Li 001; Qifeng He; Jun Hu 005 (Int. J. Appl. Earth Obs. Geoinformation, 2025)

NeuralOOD: Improving out-of-distribution generalization performance with brain-machine fusion learning framework. - Shuangchen Zhao; Changde Du; Jingze Li; Hui Li; Huiguang He (Inf. Fusion, 2025)