Biography

Prof. Zhang research interests Artificial Intelligence, AI security, AI-industry Application. He has been actively publishing more than seventy papers in the high-quality international journals (e.g., Inform Sci, Neural Compu. Appl., Nonlinear Dyn., CNSNS, Etc.), H-index 34, 4302 citation times in SCI core library. Six papers are listed as the ESI highly cited papers.  He is one of senior CCF, IEEE, ACM member, new century talent Fujian Province, China. He serves as the project evaluator of NSFC, Fujian NSF, Xiamen/Quanzhou/Zhangzhou Municipal Science&Tech Bureaus. 

Research Interest

• LLM: large language model and multi-modal applications, e.g. electrical grid, Biorobot and manufacturing;

• AI ecosystem: Tropical Agriculture AI applications, e.g. Durian, palm and etc.;

• AI security: deep learning model watermarking with block chain;

• Secure communications: nonlinear dynamics, information hiding and encryption.

Educational Background

• PhD (Computer Science), School of Computer, Dalian University of Technology, China (2015)

• MSc (Computer Science), Dalian University of Technology, China (2006)

• BSc (Computer Science), Dalian Polytechnic University (2002)

Working Experience

• Professor, School of SAIR, Xiamen University Malaysia, Malaysia (2021 to now)

• Professor, academic/research leader of AI, Xiamen University Tan Kah Kee College (2017 to now)

• Assoc director, Fujian Province Key lab of Advanced Smart Manufacturing and Equipment, China (2019 to now)

• Professor, postgraduate’s supervisor, Xiamen University, China (2017 to now)

• Assoc professor/professor, City Institute, Dalian University of Technology, China (2012 to 2017) 

Research Experience / Grants

• 2024.2-2026, Durian planting AI prediction and data analysis, Pahang and Johor Baru plantations, Malaysia

• 2022-2026, HR and workload AI prediction and scheduling, Xiamen branch of State Grid Corporation of China, China 

• 2020-2022, Integration of industry and education and collaborative education, Minister of Education, China

• 2018, Research of German the Industry 4.0 and Universities, Berlin/ Frankfurt/ Magdeburg, Germany

• 2017-2021, New Century Talent Project, Fujian, China

• 2018-2021, NSF, Fujian, China

• 2015-2019, NSFC, China

Representative Publications

• Zhou, S. ,  Tao, Z. ,  Erkan, U. , Toktas, A. ,  Iu, H. C. , &  Zhang, Yingqian. (2025). Multidimensional chaotic signals generation using deep learning and its application in image encryption. Engineering Applications of Artificial Intelligence, 156. 10.1016/j.engappai.2025.111017

•  Liu, L. ,  Zhang, C. , &  Zhang, Yingqian. (2025). Constructing s-box using fractional-order nonlinear coupled map and elementary cellular automata. Journal of Information Processing Systems, 21 (2) , pp.216-226.

• Zhou, S. , Zhang, Q. , He, S. , & Zhang, Yingqian . (2025). What is the lowest cost to calculate the lyapunov exponents from fractional differential equations?. Nonlinear Dynamics, 113(12), 14825-14871.

• Zhou, S. , Yin, Y. , Erkan, U. , Toktas, A. , & Zhang, Y. . Novel hyperchaotic system: implementation to audio encryption. Chaos, Solitons & Fractals, 193. DOI10.1016/j.chaos.2025.116088

• Zhou, S. , Zhang, H. , Zhang, Yingqian , Iu, H. C. , & Zhang, H. . (2025). Constructing a novel n-dimensional chaotic map with application to image encryption. International Journal of Modern Physics C: Computational Physics & Physical Computation, 36(9).

• Zhou, S. , Wei,Y. , Zhang, Yingqian , Iu, H. C. , & Zhang, H. Image encryption algorithm based on the dynamic RNA computing and a new chaotic map. INTEGRATION-THE VLSI JOURNAL,101, DOI10.1016/j.vlsi.2024.102336

• Zhou, S. ,  Wei, Y. , Wang, S. ,  Iu, H. C. , &  Zhang, Yingqian . (2024). Novel chaotic image cryptosystem based on dynamic rna and dna computing. journal of applied physics, 136(18), 19.

• Shuang, Z; Yin, YL; Wang, SY  ; Zhang, Yingqian. An n-dimensional discrete hyperchaotic system and its application in audio encryption, ACTA PHYSICA SINICA, 73(21) DOI10.7498/aps.73.20241028

• Wang, Dehui, Shuang Zhou, and Yingqian Zhang*. "A spatiotemporal chaos based deep learning model watermarking scheme." Applied Soft Computing 164 (2024): 112004.(CAS Tier 1 , Top)

• Zhou, Shuang; Zhang, Hongling ; Zhang, Yingqian; Zhang"Novel hyperchaotic image encryption method using machine learning-RBF." Nonlinear Dynamics 112.20 (2024): 18527-18550.

• Zhou, S., Zhang, H., Zhang, YQ., & Zhang, H. (2024). Novel hyperchaotic image encryption method using machine learning-RBF. Nonlinear Dynamics, 112(20), 18527-18550.

• Zhou S , Qiu Y , Wang X , Zhang Yingqian. Novel image cryptosystem based on new 2D hyperchaotic map and dynamical chaotic S-box. Nonlinear Dynamics, 2023, 111(10):9571-9589.

• Zhou S; Wang XY and Zhang YQ. Novel image encryption scheme based on chaotic signals with finite-precision error. INFORMATION SCIENCES, 2023, 621 , pp.782-798

• Zhang YQ; Zhong K and Wang XY. High-Capacity Image Steganography Based on Discrete Hadamard Transform, IEEE ACCESS, 10 , pp.65141-65155, 2022

•  Xian Y , Wang X , Zhang YQ , et al. A novel chaotic image encryption with FSV based global bit-level chaotic permutation. Multimedia Tools and Applications, 2023, 82(1):407-426.

• Wang XY,Su YN, Yingqian Zhang. A new image encryption algorithm based on Latin square matrix, NONLINEAR DYNAMICS,2022, 107 (1) , pp.1277-1293 SCI EI

• He Y,  Yingqian Zhang * ,  He X , et al. A new image encryption algorithm based on the OF-LSTMS and chaotic sequences[J]. Scientific Reports. 2021. 10.1038/s41598-021-85377-1 SCI EI

• Yingqian Zhang, Huang H F,  Wang X Y , et al. A secure image encryption scheme based on genetic mutation and MLNCML chaotic system[J]. Multimedia Tools and Applications, 2021(1). 10.1007/s11042-021-10724-3 SCI EI

• Huang, ZJ; Zhang YQ and Jia, YR, A Novel Watermarking Mechanism for Deep Learning Models rased on Chaotic Boundaries.15th ISMICT2021, pp.104-109 EI

• Zhang Y Q , He Y , Li P , et al. A new color image encryption scheme based on 2DNLCML system and genetic operations. Optics and Lasers in Engineering, 2020, 128(3):106040. ESI

• Yingqian Zhang, Jia Y R ,  Wang X Y , et al. DeepTrigger: A Watermarking Scheme of Deep Learning Models based on Chaotic Automatic Data Annotation[J]. IEEE Access, 2020. 8 , pp.213296-213305 SCI EI

• Yingqian Zhang,  Hao J L , Wang X Y . An Efficient Image Encryption Scheme Based on S-Boxes and Fractional-Order Differential Logistic Map[J]. IEEE Access, 2020, PP(99):1-1. SCI EI

• Yi H ,  Yingqian Zhang ,  Wang X Y . A new image encryption algorithm based on two-dimensional spatiotemporal chaotic system[J]. Neural Computing and Applications, 2020, 32:247-260. SCI EI

• Liu H ,  Zhang Y ,  Kadir A , et al. Image encryption using complex hyper chaotic system by injecting impulse into parameters[J]. Applied Mathematics and Computation, 2019, 360 , pp.83-93 ESI SCI EI (cited  41 times)

• Yingqian Zhang, Xingyuan Wang, LiyanLiu, Jia Liu. Fractional Order Spatiotemporal Chaos with Delay in SpatialNonlinear Coupling. International Journal of Bifurcation and Chaos, February2018, Vol. 28, No. 02. SCI EI

• Zhang Ying-Qian , He Yi, WangXing-Yuan. Spatiotemporal chaos in mixed linear-nonlinear two-dimensional coupled logistic map lattice, Physica A, 2018, 490: 148–160. SCI EI

•  Zhang Ying-Qian , Wang Xing-Yuan ,LiuLi-Yan , He Yi , Liu Jia , Spatiotemporal Chaos of Fractional Order Logistic Equation in Nonlinear Coupled Lattices, Communications in Nonlinear Science and Numerical Simulation ,2017, 52:52-61. SCI EI

•  Ying-Qian Zhang, Xing-Yuan Wang,JiaLiu, Ze-Lin Chi. An image encryption scheme based on the MLNCML system using DNA sequences [J]. Optics and Lasers in Engineering, 2016, 82: 95–103. SCIEI

•  Zhang Ying-Qian, Wang Xing-Yuan.Spatiotemporal chaos in Arnold coupled logistic map lattice [J].Nonlinear Analysis Modelling and Control, 2013, 18(4): 526-541. SCI EI

•  Zhang Ying-Qian, Wang Xing-Yuan. A New Image Encryption Algorithm Based on Non-adjacent Coupled Map Lattices[J].Applied Soft Computing, 2015, 26: 10-20. ESI SCI EI (cited  296 times)

•  Zhang Ying-Qian, WangXing-Yuan. Spatiotemporal Chaos in Mixed Linear- Nonlinear Coupled Logistic Map Lattice[J]. Physica A, 2014, 402: 104-118. SCI EI

•  Zhang Ying-Qian, Wang Xing-Yuan. ASymmetric Image Encryption Algorithm Based on Mixed Linear-Nonlinear Coupled Map Lattice [J]. Information Sciences, 2014,273 :329-351. ESI SCI EI (cited  447 times)

• Zhang Ying-Qian, WangXing-Yuan. Analysis and Improvement of a chaos-based Symmetric Image Encryption Scheme using a Bit-level Permutation [J]. Nonlinear Dynamics,2014, 77(3):687-698. SCIEI

•  ZhangYing-Qian, Wang Xing-Yuan. AParameter Modulation Chaotic Secure Communication Scheme with Channe lNoises[J]. Chinese Physics Letters, 2011, 28(2):020505. SCI EI

•  WangXingyuan, Liu Lintao,Zhang Yingqian. A novel chaotic block image encryption algorithm based on dynamic random growth technique [J]. Optics and Lasers in Engineering, 2015, 66: 10-18.ESI SCI EI (313 times cited)

•  WangXing-Yuan, ZhangYing-Qian*, BaoXue-Mei. A novel chaotic image encryption scheme usingDNA sequence operations[J]. Optics and Lasers in Engineering, 2015, 73: 53-61.ESI SCI EI (329 times cited)

Honors / Awards

• Global top 2% scientist years since 2022 in research field of AI and image processing ranked by Stanford university and Elsevier.

• Global top 0.5% scientist in AI by ScholarGPS.