About Me

This post has two version, i.e. English version and Chinese version. You can click the button and choose the version for you convenience.

我叫肖均,现在是香港理工大学电子资讯工程系的3年级博士研究生,导师是Prof. Kenneth K. M. Lam, 主要研究领域包括机器学习,图像处理以及计算机视觉,对人工智能技术发展以及产品 落地工程化解决方案有浓厚兴趣, 曾在多本学术期刊杂志以及学术会议(ICASSP,ICIP)上发表过论文超过10篇。

Publications

[1] Jun Xiao, Tianshan Liu, Rui Zhao, Kin-Man Lam,``Balanced Distortion and Perception in Single-Image Super-Resolution Based on Optimal Transport in Wavelet Domain”, sumitted to Neuracomputing, 2021. (Under review)

[1] Jun Xiao, Rui zhao, Kin-Man Lam, et al, ``Bayesian Sparse Hierarchical Model for Image Denoising”, submitted to Signal Processing: Image Communication, 2021.

[3] Jun Xiao, Wenqi Jia, Kin-Man Lam,``Feature redundancy mining: Deep light-weight image super-resolution model”, 2021 IEEE International Conference on Acoustics, Speech and Signal Processing. (Accepted)

[4] Tianshan Liu, Rui Zhao, Jun Xiao, Kin-Man Lam,``Progressive Motion Representation Distillation With Two-Branch Networks for Egocentric Activity Recognition”, IEEE Signal Processing Letters, 2020.

[5] Jun Xiao, Rui Zhao, Kin-Man Lam, ``Elastic net with adaptive weight for image denoising”, International Workshop on Advanced Imaging Technology (IWAIT), 2020.

[6] Jun Xiao, Rui Zhao, Shun-Cheung Lai, Wenqi Jia, Kin-Man Lam, ``Deep Progressive Convolutional Neural Network for Blind Super-Resolution With Multiple Degradations”, 2019 IEEE International Conference on Image Processing (ICIP).

[7] Runze Zhang, Zhong Guan, Shun-Cheung Lai, Jun Xiao, Kin-Man Lam, ``Deep Neural Networks for Lung Cancer Tumor Region Segmentation”, International Workshop on Advanced Imaging Technology (IWAIT), 2019.

[8] Jun Xiao, Rui zhao, Kin-Man Lam, et al, ``Deep Progressive Convolutional Neural Network for Blind Super-resolution with Multiple Degradations,” in IEEE International Conference on Image Processing, 2019.

[9] C. Yang, J. Xiao, Y. Zeng, B. Deng, and W.-K. Ling, ``Design of periodic window functions in filter window filter banks for harsh environments,” in IEEE 14th International Conference on Industrial Informatics (INDIN), 2016, pp. 986-991.

[10] J. Xiao, W.-K. Ling, Y. Gui, and K.-F. Tsang, ``Empirical relationships between artificial noises and audio performances of wireless industrial audio systems with dithers,” in 2016 IEEE International Conference on Industrial Technology (ICIT), 2016, pp. 2059-2063.

[11] X. Zhang, J. Xiao, B. Ling, C. Li, and K. Tsang, ``Accurate, wearable, wireless and pinless blood glucose measurement system modeled by a set of fractional differential equations,” in IEEE International Conference on Consumer Electronics (ICCE), 2016, pp. 595-597.

[12] J. Su, J.Xiao, et al., ``Classifying tachycardias via high dimensional linear discriminant function and perceptron with mult-piece domain activation function,” in IEEE 13th International Conference on Industrial Informatics (INDIN), 2015, pp. 1480-1483.

[13] J. Su, B. W. Ling, Q. Dai, J. Xiao, and K.-F. Tsang, ``Mobile based big data design patent image retrieval system via Lp norm deep learning approach,” in IEEE 41st Annual Conference on Industrial Electronics Society, 2015, pp. 004886-004889.

This post has two version, i.e. English version and Chinese version. You can click the button and choose the version for you convenience.

My name is Xiao Jun (肖均). I am a third-year Ph.D. student in the department of electronic and information engineering, the Hong Kong Polytechnic Unversity, supervised by Prof. Kenneth K. M. Lam. My research interests include machine learning, image enhancement, and image restoration. I received my MSc degree (supervised by Prof. Kenneth K. M. Lam) with distinction from the department of electronic and information engineering, the Hong Kong Polytechnic Unversity, in 2018. Before coming to the Hong Kong Polytechnic Unversity, I obtained my BSc degree from the Guangdong University of Technology, supervised by Prof. Wing-Kuen Ling, in 2016.

Publications

[1] Jun Xiao, Tianshan Liu, Rui Zhao, Kin-Man Lam,``Balanced Distortion and Perception in Single-Image Super-Resolution Based on Optimal Transport in Wavelet Domain”, sumitted to Neuracomputing, 2021. (Under review)

[1] Jun Xiao, Rui zhao, Kin-Man Lam, et al, ``Bayesian Sparse Hierarchical Model for Image Denoising”, submitted to Signal Processing: Image Communication, 2021.

[3] Jun Xiao, Wenqi Jia, Kin-Man Lam,``Feature redundancy mining: Deep light-weight image super-resolution model”, 2021 IEEE International Conference on Acoustics, Speech and Signal Processing. (Accepted)

[4] Tianshan Liu, Rui Zhao, Jun Xiao, Kin-Man Lam,``Progressive Motion Representation Distillation With Two-Branch Networks for Egocentric Activity Recognition”, IEEE Signal Processing Letters, 2020.

[5] Jun Xiao, Rui Zhao, Kin-Man Lam, ``Elastic net with adaptive weight for image denoising”, International Workshop on Advanced Imaging Technology (IWAIT), 2020.

[6] Jun Xiao, Rui Zhao, Shun-Cheung Lai, Wenqi Jia, Kin-Man Lam, ``Deep Progressive Convolutional Neural Network for Blind Super-Resolution With Multiple Degradations”, 2019 IEEE International Conference on Image Processing (ICIP).

[7] Runze Zhang, Zhong Guan, Shun-Cheung Lai, Jun Xiao, Kin-Man Lam, ``Deep Neural Networks for Lung Cancer Tumor Region Segmentation”, International Workshop on Advanced Imaging Technology (IWAIT), 2019.

[8] Jun Xiao, Rui zhao, Kin-Man Lam, et al, ``Deep Progressive Convolutional Neural Network for Blind Super-resolution with Multiple Degradations,” in IEEE International Conference on Image Processing, 2019.

[9] C. Yang, J. Xiao, Y. Zeng, B. Deng, and W.-K. Ling, ``Design of periodic window functions in filter window filter banks for harsh environments,” in IEEE 14th International Conference on Industrial Informatics (INDIN), 2016, pp. 986-991.

[10] J. Xiao, W.-K. Ling, Y. Gui, and K.-F. Tsang, ``Empirical relationships between artificial noises and audio performances of wireless industrial audio systems with dithers,” in 2016 IEEE International Conference on Industrial Technology (ICIT), 2016, pp. 2059-2063.

[11] X. Zhang, J. Xiao, B. Ling, C. Li, and K. Tsang, ``Accurate, wearable, wireless and pinless blood glucose measurement system modeled by a set of fractional differential equations,” in IEEE International Conference on Consumer Electronics (ICCE), 2016, pp. 595-597.

[12] J. Su, J.Xiao, et al., ``Classifying tachycardias via high dimensional linear discriminant function and perceptron with mult-piece domain activation function,” in IEEE 13th International Conference on Industrial Informatics (INDIN), 2015, pp. 1480-1483.

[13] J. Su, B. W. Ling, Q. Dai, J. Xiao, and K.-F. Tsang, ``Mobile based big data design patent image retrieval system via Lp norm deep learning approach,” in IEEE 41st Annual Conference on Industrial Electronics Society, 2015, pp. 004886-004889.