Jin Xiao
Jin Xiao
Name: Jin Xiao
Sex: Male
Department: Institute of Machine Intelligence
Administrative duties:
Title: Lecturer
Education: PhD
Major: Control Science and Engineering
Office Phone:
Email: jinxiao@nankai.edu.cn
Research direction: computer vision, multimedia technology
[1] Computer vision: allow computers or robots to perceive the external environment by analyzing visual information (images and videos, etc.);
[2] Multimedia technology: analyze different modal multimedia content (images, videos, voices, texts, 3D models, etc.), and find clues to the rules.
[Education and Work Experience]
[1] Nankai University, College of Artificial Intelligence, Control Science and Engineering
[2] The University of British Columbia, Department of Electrical and Computer Engineering
[3] Tianjin University, School of Electrical Automation and Information Engineering, Information and Communication Engineering
[4] Tianjin University, Qiushi College, Electronic Information Engineering
[Projects,Award and Patent]
paper
[1] Hierarchical Image Resampling Detection Based on Blind Deconvolution. Journal of Visual Communication and Image Representation, 2017, 48: 480-490.
[2] Video Logo Removal Detection Based on Sparse Representation. Multimedia Tools and Applications, 2018, 77(22): 29303-29322.
[3] Image Inpainting Detection Based on A Modified Formulation of Canonical Correlation Analysis. in Proc. IEEE MMSP, 2018.
[4] Sparsity-Based Image Inpainting Detection via CCA with Low-Rank Constraints. IEEE Access, 2018, 6: 49967-49978.
[5] High-order Temporal Correlation Model Learning for Time-Series Prediction. IEEE Transactions on Cybernetics. 2019, 49(6): 2385-2397.
[6] AMFNet: An Adversarial Network for Median Filtering Detection. IEEE Access, 2018, 6: 50459-50467.
[7] Object-based Video Forgery Detection via Dual-Stream Networks, in Proc. ICME, 2021.
[Publications and Books]
Main papers recently published
Main papers recently published
1. Wen, H., Song, S., Xie, F., Wang, B., ... Xu, X., Cao, Y. & Li, X. (2020). Great chiral fluorescence from the optical duality of silver nanostructures enabled by 3D laser printing. Materials Horizons, 7(12), 3201-3208.
2. Wen, H., Zeng, X., Xu, X., ... Wang, B., Li, X. & Cao, Y. (2021). Reversible data encryption-decryption using a pH stimuli-responsive hydrogel. Journal of Materials Chemistry C, 9(7), 2455-2463.
3. Wen, H., Wang, B., ... Xu, X., Li, X. & Cao, Y. (2021). Security-Enhanced 3D Data Encryption Using a Degradable pH-Responsive Hydrogel. Nanomaterials, 11(7): 1744.
4. Zhang, T., Che, Y., Chen, K., Wang, B., Xu, X., ... & Li, X. (2020). Anapole mediated giant photothermal nonlinearity in nanostructured silicon. Nature communications, 11(1), 1-9.
5. Wang, B., Che, Y., Zhong, X., Xu, X., Zhang, T., ... & Li, X. (2021). Cylindrical vector beam revealing multipolar nonlinear scattering for superlocalization of silicon nanostructures. Photonics Research, 9(6), 950-957.
6. Wang Bin, Shi Jinmeng, Zhang Tianyue, Xu Xiaoxuan, Cao Y, Li Xiangping,. Improved lateral resolution with an annular vortex depletion beam in STED microscopy. Optical Letters, 2017, 42(23): 4885-4888.
[Courses]
[Memberships]
IEEE/ACM/CCF/CAA/CSIG/CAAI member
Reviewers: IEEE JBHI, Elsevier PRL, Springer MTAP and other journal reviewers
Contact US
HR：+86 2285358228 guoyufei@nankai.edu.cn; International Office:+86 2223505863 mengjin@nankai.edu.cn
Location/Campus Map
38 Tongyan Road, Jinnan District, Tianjin, P.R.China 300350
