Education and Working Experiences

2016.09 – 2020.06: Beijing Information Science and Technology University | Information Management and Information System | Bachelor of Engineering

2020.09 – 2022.06: China Agricultural University | Computer Technology | Master of Engineering

2022.09 – 2026.06: China Agricultural University | Computer Science and Technology | Doctor of Engineering

2025.10 – 2026.04: Nanyang Technological University (NTU), Singapore | School of Electrical and Electronic Engineering (EEE) | Joint PhD (China Government Sponsored Scholarship)

2026.06 – Present: School of Economics and Management, Beijing University of Chemical Technology | Lecturer

Publications

1. Chang Xu, Junqi Ding, Lingxian Zhang*, et al. Multimodal-information-based optimized agricultural prescription recommendation system of crop electronic medical records. Journal of Industrial Information Integration, 2025, 43: 100748. (IF=12.3, CAS Q1 Top JournalTop)

2. Chang Xu, Yiding Zhang, Lingxian Zhang*, et al. Intelligent management of crop diseases and pests in multiscale and multimodal complex scenarios: technologies, applications, and prospects. Computers and electronic in Agriculture, 2026, 244: 111443. (IF=10.7, CAS Q1 Top JournalTop)

3. Chang Xu, Yiding Zhang, Lingxian Zhang*, et al. Knowledge-guided adaptive spatial-temporal graph contrastive learning framework: regional crop diseases prediction based on electronic medical records. Neural Networks, 2025, 189: 107597. (IF=7.4, CCF B, CAS Q1 Top JournalTop)

4. Chang Xu, Lingxian Zhang*, et al. Spatial-temporal analysis and trend prediction of regional crop disease based on electronic medical records. Applied Soft Computing, 2024, 167: 112423. (IF=7.4, CAS Q1 Top JournalTop)

5. Chang Xu, Yiding Zhang, Lingxian Zhang*, et al. A novel cascaded multi-task method for crop prescription recommendation based on electronic medical record. Computers and electronic in Agriculture, 2024, 219: 108790. (IF=10.7, CAS Q1 Top JournalTop)

6. Chang Xu, Lingxian Zhang*. Cucumber diseases diagnosis based on multi-class SVM and electronic medical record. Neural Computing & Applications, 2024, 36:4959-4978. (IF=4.5)

7. Chang Xu, Lingxian Zhang*, et al. Tomato disease and pest diagnosis method based on the Stacking of prescription data. Computers and electronic in Agriculture, 2022, 197: 106997. (IF=10.7, CAS Q1 Top JournalTop)

8. Yuanze Qin, Chang Xu, Yiding Zhang*, et al. An improved blockchain-based multi-region Federated Learning framework for crop disease diagnosis. Computer&electronic engineering, 2025,123: 110181. (IF=4.8)

9. Bohan Zhang, Xinchang Lv, Chang Xu, Yitian Xu*, Multi-label Twin support vector machine with probabilistic output and its safe screening rule. Information Science, 2026, 729: 122825. (IF=6.8, CAS Q1 Top JournalTop)

10. Jie Zhao, Yitian Xu*, Chang Xu, Ting Wang. A two-stage safe screening method for non-convex support vector machine with ramp loss. Knowledge-Based Systems, 2021, 228: 107250. (IF=7.6, CAS Q1 Top JournalTop)

11. Junqi Ding, Bo Li, Chang Xu, Lingxian Zhang*. Diagnosing crop diseases based on domain-adaptive pre-training BERT of electronic medical records. Applied Intelligence, 2023, 53, 15979-15992. (IF=3.5)

12. Yiding Zhang, Zonghuan Han, Jian Chen, Chang Xu, XiaoShuan Zhang*, et al. CropGPT: A large multimodal model for precise and explainable diagnosis of crop pests and diseases. Journal of Industrial Information Integration, 2026, 51:101107. (IF=12.3, CAS Q1 Top JournalTop)