👤 Personal Information

• Sep. 2010 – Jun. 2014, B.Eng., Computer Science and Technology, Ocean University of China
• Sep. 2014 – Jun. 2017, M.Eng., Computer Technology, Ocean University of China
• Oct. 2017 – Sep. 2020, Ph.D., Information Science and Intelligent Engineering, Kyushu University, Japan
• Dec. 2020 – Present, Associate Professor, School of Information Science and Technology, Shihezi University

🔬 Research Interests

• Pattern Recognition and Machine Learning: Fundamental theories of machine learning and deep learning, AI for Science, few-shot learning
• Document Recognition and Analysis: Scene text analysis, ancient document analysis, handwritten text analysis
• Handwritten Signature Verification: Feature extraction, generation and verification of handwritten signatures, multi-scenario handwritten signature analysis
• Medical Image Processing: Medical image segmentation and classification, learning under class imbalance
• Data Mining and Bioinformatics: Graph neural network based protein structure prediction, drug discovery and prediction, interaction analysis, microbiome distribution and mining, community detection on complex networks, knowledge graphs
• Intelligent Interpretation of Remote Sensing Images: Remote sensing object detection, image segmentation, change detection
• Speech Recognition Analysis: Multilingual speech recognition, machine translation, speech analysis, semantic analysis
• Privacy Preservation: Federated learning, adversarial attack and defense

🏆 Honors & Awards

• First Prize, the 16th Excellent Academic Paper Award of Xinjiang Uygur Autonomous Region Natural Science
• 2019 Excellent Presentation Award of the IEEE Fukuoka Section

🔧 Research Projects

• National High-Level Talent Program
• High-Level Talent Introduction Startup Project of Shihezi University
• Innovative Talent Cultivation Project of Shihezi University

🌐 Academic Activities & Social Services

• Chair: Session Co-Chair, Asian Conference on Artificial Intelligence Technology (ACAIT 2023)
• Committee Member: Program Committee Member of International Conference on Document Analysis and Recognition (ICDAR 2021, 2023, 2024), International Conference on Artificial Neural Networks (ICANN 2021, 2022, 2023), International Symposium on Signal Processing (ISPR 2021)
• Member: China Computer Federation, Chinese Association of Automation, Chinese Association for Artificial Intelligence, International Association for Pattern Recognition
• Reviewer: Journals including Pattern Recognition, ACM TKDD, IEEE TAI, IEEE TCSVT, IEEE TNNLS, IJDAR, IET Image Processing, IJCAS, KBS, ESWA, ASOC; conferences including ICANN, ICDAR, IJCNN, ICFHR, CVPR, ICCV, AAAI, IJCAI, ICLR

Representative Scientific Achievements in Recent 5 Years

1. J. Chen, D. Wu, Q. Ma, S. Xu, Y. Zheng*. AGFormer: An anchor‑guided transformer for class imbalance in remote sensing change detection. Pattern Recognition, 2025. (SCI Q1 Top Journal)

2. X. Zhao, L. Zheng, P. Yuan, Y. Zheng*. Fusing deep and hand‑crafted features by deep canonically correlated contractive autoencoder for offline signature verification. Pattern Recognition, 2025. (SCI Q1 Top Journal)

3. M. Zhang, L. Zheng, J. Chen, Y. Zhang, Y. Zheng*. SigLDiff: A Signature Based Latent Diffusion Model for Forged‑free Offline Signature Verification. In 2025 International Conference on Document Analysis and Recognition (ICDAR). (Core Rank: A, CCF Rank: C)

4. W. Li, J. Liu, Y. Ren, Y. Zheng, Y. Liu, W. Li. Let Samples Speak: Mitigating Spurious Correlation by Exploiting the Clusterness of Samples. In 2025 IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR). (CCF Rank: A)

5. L. Zheng, D. Wu, S. Xu, Y. Zheng*. HTCSigNet: A Hybrid Transformer and Convolution Signature Network for offline signature verification. Pattern Recognition, 2025. (SCI Q1 Top Journal)

6. L. Zheng, X. Zhao, S. Xu, Y. Ren, Y. Zheng*. Learning Discriminative Representations by a Canonical Correlation Analysis‑based Siamese Network for Offline Signature Verification. Engineering Application of Artificial Intelligence, 2025. (SCI Q1 Top Journal)

7. L. Zheng, D. Wu, M. Zhang, Y. Zheng*. SLFRM: A Novel Signature Local Feature Reconstruction Module for Offline Signature Verification. In 2024 13th International Conference on Computing and Pattern Recognition (ICCPR 2024).

8. Q. Zhu, B. Zhang, L. Yuan, Y. Ren, Q. Zhao, Y. Zheng*. Discovering Optimal Subspaces in Deep Architectures for Offline Signature Verification. In 2024 13th International Conference on Computing and Pattern Recognition (ICCPR 2024).

9. X. Wang, X. Wang*, Y. Zheng, Z. Liu, W. Xia, H. Guo, D. Li. GDSNet: A gated dual‑stream convolutional neural network for automatic recognition of coseismic landslides. International Journal of Applied Earth Observation and Geoinformation, 2024. (SCI Q1 Top Journal)

10. W. Li, Y. Ren, J. Liu, C. Wang, Y. Zheng*. PMDA: Domain Alignment with Prototype Matching for Cross‑Domain Adaptive Segmentation. In 2023 IEEE International Conference on Multimedia and Expo (ICME). (CCF Rank: B)

11. J. Liu, Y. Ren, W. Li, Y. Zheng*, C. Wang. Improving Out‑of‑Distribution Detection with Margin‑Based Prototype Learning. In 2023 International Conference on Neural Information Processing (ICONIP). (CCF Rank: C)

12. Y. Pan, Q. Zhao, X. Zhao, X. Wang, X. Long, Y. Zheng. A transformer‑based Siamese network and an open optical dataset for semantic change detection of remote sensing images. International Journal of Digital Earth, 2022. (SCI Q1 Top Journal)

13. P. Yuan, Q. Zhao, Y. Zheng, X. Wang, B. Hu. Capturing Small Objects and Edges Information for Cross‑Sensor and Cross‑Region Land Cover Semantic Segmentation in Arid Areas. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022. (SCI Q2 Top Journal)

14. X. Wang, Q. Zhao*, P. Jiang, Y. Zheng, L. Yuan, P. Yuan. LDS‑YOLO: A lightweight small object detection method for dead trees from shelter forest. Computers and Electronics in Agriculture, 2022. (SCI Q1 Top Journal)

15. Y. Zheng*, B. K. Iwana, M. I. Malik, S. Ahmed, W. Ohyama, S. Uchida. Learning the Micro Deformations from Max‑pooling for Offline Signature Verification. Pattern Recognition, 2021. (SCI Q1 Top Journal)

16. Y. Zheng*, Y. Zheng, D. Suehiro, S. Uchida. A Top‑Rank Convolutional Neural Network for Medical Image‑based Diagnosis. Pattern Recognition, 2021. (SCI Q1 Top Journal)

17. L. Yuan, Q. Zhu, Y. Zheng*, W. Dong, Y. Ke, Z. Li. Temporal Smoothness Framework: Analyzing and Exploring Evolutionary Transition Behavior in Dynamic Networks. In 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI). (CCF Rank: C)

18. X. Zhao, C. Liu, B. Zhang, L. Yuan, Y. Zheng*. Multi‑view Representation Learning with Deep Features for Offline Signature Verification. In 2021 International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom). (CCF Rank: C)

19. L. Yuan, Y. Ke, Y. Xie, Q. Zhao, Y. Zheng*. DCNMF: Dynamic Community Discovery with Improved Convex‑NMF in Temporal Networks. In 2021 International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom). (CCF Rank: C)

20. Y. Zheng*, B.K. Iwana, S. Uchida. Mining the Displacement of Max‑pooling for Text Recognition. Pattern Recognition, 2019. (SCI Q1 Top Journal)

21. Y. Zheng*, W. Ohyama, B. K. Iwana, S. Uchida. Capturing Micro Deformations from Pooling Layers for Offline Signature Verification. In 2019 International Conference on Document Analysis and Recognition (ICDAR). (Core Rank: A, CCF Rank: C)

22. Y. Zheng, Y. Zheng*, W. Ohyama, D. Suehiro, S. Uchida. RankSVM for Offline Signature Verification. In 2019 International Conference on Document Analysis and Recognition (ICDAR). (Core Rank: A, CCF Rank: C)