Publications

Beall’s List (unfortunately removed): Predatory Publishers,  Predatory Open-access Journals, 

Available mirror

Book Chapter

1. Jin, Z., Wong, W. J., & Teoh, A. B. J. (2019). Fingerprint Minutiae to Fixed-Length Bit-String: A Review of Recent Development. Bio-Inspired Computing Models and Algorithms, 181-211., Tao Song, Pan Zheng, Mou Ling Dennis Wong and Xun Wang, (Eds), World Scientific Publisher, 2019.

2. Jin, Z., Tan, S. Y., Teoh, A. B. J., & Goi, B. (2015). “Chapter Two: Minutiae-based Fingerprint Representations: Review, Privacy, Security and Cryptographic Realization,” Book Title: Biometrics Security, Cambridge Scholars Publishing.

Journals & Conferences: Biometrics

3. Lai, Y. L., & Jin, Z. (2025). Wormhole Dynamics in Deep Neural Networks. IEEE Transactions on Neural Networks and Learning Systems, 36(11), 19909 - 19923.

4. Jia, C., Dong, X., Lai, Y. L., Teoh, A. B. J., Yang, Z., Zhang, X., ... & Yang, L. (2025). Single source domain generalization for palm biometrics. Pattern Recognition, 165, 111620.

5. Qiu, Y., Chen, H., Dong, X., Lin, Z., Liao, I. Y., Tistarelli, M., & Jin, Z.* (2025). IFViT: Interpretable fixed-length representation for fingerprint matching via vision transformer. IEEE Transactions on Information Forensics and Security, vol. 20, 559-573.

6. Wang, H., Wang, S., Chen, C., Tistarelli, M., & Jin, Z.* (2024). A multi-task adversarial attack against face authentication. ACM Transactions on Multimedia Computing, Communications and Applications, 20(11), 1-24.

7. Lai, Y., Dong, X., Jin, Z.*, Jia, W., Tistarelli, M., & Li, X. (2024). Rethinking Contemporary Deep Learning Techniques for Error Correction in Biometric Data. International Journal of Computer Vision, 1-18.

8. Dong, X., Zhang, H., Lai, Y. L., Jin, Z., Huang, J., Kang, W., & Teoh, A. B. J. (2024). WiFaKey: Generating Cryptographic Keys from Face in the Wild. IEEE Transactions on Instrumentation and Measurement, vol. 73, 1-16, Art no. 5040716.

9. Wang, H., Sun, R., Chen, C., Xue, M., Soon, L. K., Wang, S., & Jin, Z.* (2024). Iterative Window Mean Filter: Thwarting Diffusion-based Adversarial Purification. IEEE Transactions on Dependable and Secure Computing, 22(2), 1827 - 1844.

10. Dong, X., Yang, J., Teoh, A. B. J., Yu, D., Li, X., & Jin, Z. (2024). Video-based face outline recognition. Pattern Recognition, 152, 110482.

11. Dong, X., Park, J., Jin, Z.*, Teoh, A. B. J., Tistarelli, M., & Wong, K. (2024). On the security risk of pre-image attack on cancelable biometrics. Journal of King Saud University-Computer and Information Sciences, 36(5), 102060.

12. Zhang, H., Dong, X., Lai, Y., Zhou, Y., Zhang, X., Lv, X., Jin, Z.* & Li, X. (2024). Validating Privacy-Preserving Face Recognition under a Minimum Assumption. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 12205-12214).

13. Lai, Y., Dong, X., Jin, Z.*, Tistarelli, M., Yap, W. S., & Goi, B. M. (2023). Breaking free from entropy’s shackles: cosine distance-sensitive error correction for reliable biometric cryptography. IEEE Transactions on Information Forensics and Security, 18, 3101-3115.

14. Dong, X., Miao, Z., Ma, L., Shen, J., Jin, Z., Guo, Z., & Teoh, A. B. J. (2023). Reconstruct face from features based on genetic algorithm using GAN generator as a distribution constraint. Computers & Security, 125, 103026.

15. Zhang, H., Li, X., Tan, S. Y., Lee, M. J., & Jin, Z.* (2023). Privacy-preserving biometric authentication: Cryptanalysis and countermeasures. IEEE Transactions on Dependable and Secure Computing, 20(6), 5056-5069.

16. Lee, M. J., Jin, Z.*, Liang, S. N., & Tistarelli, M. (2022). Alignment-robust cancelable biometric scheme for iris verification. IEEE Transactions on Information Forensics and Security, 17, 3449-3464.

17. Wang, H., Wang, S., Jin, Z., Wang, Y., Chen, C., & Tistarelli, M. (2021, December). Similarity-based gray-box adversarial attack against deep face recognition. In 2021 16th IEEE international conference on automatic face and gesture recognition (FG 2021) (pp. 1-8). IEEE.

18. Dong, X., Jin, Z., Guo, Z., & Teoh, A. B. J. (2021, September). Towards generating high definition face images from deep templates. In 2021 International Conference of the Biometrics Special Interest Group (BIOSIG) (pp. 1-11). IEEE.

19. Lee, M. J., Teoh, A. B. J., Uhl, A., Liang, S. N., & Jin, Z.* (2021). A tokenless cancellable scheme for multimodal biometric systems. Computers & Security, 108, 102350.

20. Dong, X., Jin, Z., Zhao, L., & Guo, Z. (2021, August). BioCanCrypto: An LDPC coded bio-cryptosystem on fingerprint cancellable template. In 2021 IEEE international joint conference on biometrics (IJCB) (pp. 1-8). IEEE.

21. Dong, X., Kim, S., Jin, Z., Hwang, J. Y., Cho, S., & Teoh, A. B. J. (2021). Secure chaff-less fuzzy vault for face identification systems. ACM Transactions on Multimidia Computing Communications and Applications, 17(3), 1-22.

22. Lai, Y. L., Li, M., Liang, S. N., & Jin, Z.* (2021). Lossless fuzzy extractor enabled secure authentication using low entropy noisy sources. Journal of Information Security and Applications, 58, 102695.

23. Lai, Y., Jin, Z.*, Wong, K., & Tistarelli, M. (2021). Efficient known-sample attack for distance-preserving hashing biometric template protection schemes. IEEE Transactions on Information Forensics and Security, 16, 3170-3185.

24. Wang, H., Dong, X, Jin, Z*, A.B.J. Teoh, M. Tistarelli, Interpretable Security analysis of cancellable biometrics using constrained-optimized similarity-based attack, Workshop on Explainable & Interpretable Artificial Intelligence for Biometrics (xAI4Biometrics) at Winter Conference on Applications of Computer Vision (WACV) 2021.

25. Lai, Y. L., & Jin, Z. (2020). Input-Dependent Error Sketching Model Enabled Information Theoretical Secure Sketch. IEEE Access, 8, 134681-134694.

26. Dong, X., Kim, S., Jin, Z., Hwang, J. Y., Cho, S., & Teoh, A. B. J. (2020). Open-set face identification with index-of-max hashing by learning. Pattern Recognition, 103, 107277.

27. Keong, J., Dong, X., Jin, Z., Mallat, K., & Dugelay, J. L. (2020, December). Multi-spectral facial landmark detection. In 2020 IEEE International Workshop on Information Forensics and Security (WIFS) (pp. 1-6). IEEE.

28. Kirchgasser, S., Kauba, C., Lai, Y. L., Jin, Z., & Uhl, A. (2020). Finger Vein Template Protection based on Alignment-Robust Feature Description and Index-of-Maximum Hashing. IEEE Transactions on Biometrics, Behavior, and Identity Science, 2(4), 337 – 349.

29. Lai, Y. L., Hwang, J. Y., Jin, Z., Kim, S., Cho, S., & Teoh, A. B. J. (2019). Symmetric keyring encryption scheme for biometric cryptosystem. Information Sciences, 502, 492-509.

30. Dong, X., Jin, Z., Teoh, A. B. J. A Genetic Algorithm Enabled Similarity-Based Attack on Cancellable Biometrics. In Proceedings of the IEEE 10th International Conference on Biometrics: Theory, Applications, and Systems (BTAS2019) (pp. 1-9).

31. Kirchgasser, S., Lai, Y. L., Jin, Z., & Uhl, A. (2019). Finger-Vein Template Protection based on Alignment-Free Hashing. In Proceedings of the IEEE 10th International Conference on Biometrics: Theory, Applications, and Systems (BTAS2019) (pp. 1-9).

32. Lai, Y. L., Hwang, J. Y., Jin, Z., Kim, S., Cho, S., & Teoh, A. B. J. (2018). Secure secret sharing enabled b-band mini vaults bio-cryptosystem for vectorial biometrics. IEEE Transactions on Dependable and Secure Computing, 18(1), 58-71.

33. Jin, Z., Hwang, J. Y., Lai, Y. L., Kim, S., & Teoh, A. B. J. (2018). Ranking-based locality sensitive hashing-enabled cancelable biometrics: Index-of-max hashing. IEEE Transactions on Information Forensics and Security, 13(2), 393-407. (Included in IEEE Biometrics Compendium, Issue 31 - March 2018)

34. Chee, K. Y., Jin, Z., Cai, D., Li, M., Yap, W. S., Lai, Y. L., & Goi, B. M. (2018). Cancellable speech template via random binary orthogonal matrices projection hashing. Pattern Recognition, 76, 273-287.

35. Lee, M. J., Jin, Z., & Teoh, A. B. J. (2018, December). One-factor cancellable scheme for fingerprint template protection: Extended feature vector (EFV) hashing. In 2018 IEEE international Workshop on Information Forensics and Security (WIFS) (pp. 1-7). IEEE.

36. Lai, Y. L., Jin, Z., Teoh, A. B. J., Goi, B. M., Yap, W. S., Chai, T. Y., & Rathgeb, C. (2017). Cancellable iris template generation based on Indexing-First-One hashing. Pattern Recognition, 64, 105-117.

37. Jin, Z., Lim, M. H., Teoh, A. B. J., Goi, B. M., & Tay, Y. H. (2016). Generating fixed-length representation from minutiae using kernel methods for fingerprint authentication. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 46(10), 1415-1428.

38. Jin, Z., Teoh, A. B. J., Goi, B. M., & Tay, Y. H. (2016). Biometric cryptosystems: a new biometric key binding and its implementation for fingerprint minutiae-based representation. Pattern Recognition, 56, 50-62.

39. Jin, Z., Lim, M. H., Teoh, A. B. J., & Goi, B. M. (2014). A non-invertible randomized graph-based hamming embedding for generating cancelable fingerprint template. Pattern Recognition Letters, 42, 137-147.

40. Jin, Z., Teoh, A. B. J., Ong, T. S., & Tee, C. (2012). Fingerprint template protection with minutiae-based bit-string for security and privacy preserving. Expert systems with applications, 39(6), 6157-6167.

41. Jin, Z., & Teoh, A. B. J. (2011, October). Fingerprint template protection with minutia vicinity decomposition. In 2011 International Joint Conference on Biometrics (IJCB) (pp. 1-7). IEEE. (Included in IEEE Biometrics Compendium, Issue 6 - December 2011)

Medical Image Analysis

42. Pu, B., Wang, L., Dong, X., Lv, X., & Jin, Z. Learning to Zoom with Anatomical Relations for Medical Structure Detection. In The Thirty-ninth Annual Conference on Neural Information Processing Systems.

43. Lv, X., Dong, X., Wang, L., Yang, J., Zhao, L., Pu, B., ... & Li, X. (2025). Test-Time Domain Generalization via Universe Learning: A Multi-Graph Matching Approach for Medical Image Segmentation. In Proceedings of the Computer Vision and Pattern Recognition Conference (pp. 15621-15631).

44. Hu, G., Kang, Y., Zhao, G., Jin, Z., Li, C., & Tang, J. (2025). Dynamic strip convolution and adaptive morphology perception plugin for medical anatomy segmentation. IEEE Transactions on Medical Imaging.

45. Dong, X., Zhou, B., Yin, C., Liao, I. Y., Jin, Z.*， Xu, Z., & Pu, B. (2025). ÆMMamba: An Efficient Medical Segmentation Model With Edge Enhancement. IEEE Journal of Biomedical and Health Informatics.

46. Dong, X., Wang, L., Lv, X., Zhang, X., Zhang, H., Pu, B., ... & Jin, Z.* (2025). CertainTTA: Estimating uncertainty for test-time adaptation on medical image segmentation. Information Fusion, 103300.

47. Zhou, B., Dong, X., Zhao, X., Li, C., Jin, Z.*, & Wang, H. (2024). FCT-Net: Efficient Bridge Fusion Incorporating CNN-Transformer Network for Medical Image Segmentation. IEEE Transactions on Radiation and Plasma Medical Sciences.

48. Pu, B., Lv, X., Yang, J., Guannan, H., Dong, X., Lin, Jin, Z., & Li, X. (2024). Unsupervised Domain Adaptation for Anatomical Structure Detection in Ultrasound Images. In Forty-first International Conference on Machine Learning.

49. Pu, B., Wang, L., Yang, J., He, G., Dong, X., Li, S., Jin, Z., & Li, X. (2024). M3-UDA: A New Benchmark for Unsupervised Domain Adaptive Fetal Cardiac Structure Detection. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 11621-11630).

Low Level Vision, Knowledge Distillation and Tracking

50. Meng, Q., Lu, A., & Jin, Z. (2025). BR-MoE: Blind Multi-Modal Tracking with Route-Dynamic Mixture of Experts. IEEE Transactions on Circuits and Systems for Video Technology.

51. Li, L., & Jin, Z*. (2022). Shadow knowledge distillation: Bridging offline and online knowledge transfer. Advances in Neural Information Processing Systems, 35, 635-649.

52. Dong, X., Xu, W., Miao, Z., Ma, L., Zhang, C., Yang, J., Jin, Z. & Shen, J. (2022). Abandoning the bayer-filter to see in the dark. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 17431-17440).

AWARDS

1. Chinese Conference on Biometric Recognition (CCBR 2025), Best Paper – Runner Up

2. The 31st International Conference on Computational Linguistics (COLING 2025), Best Social Impact Paper

3. 10th IEEE International Conference on Biometrics Theory, Applications and Systems (BTAS 2019), Best Reviewed Paper