Brain in Machine

机中之脑?缸中之脑?

About Me

Jia Zhuang

contact e-mail:jzsherlock@163.com

github: https://github.com/jzsherlock4869

Education

  • 2012-2016 Xi'an Jiaotong University (XJTU) Xi'an, Shaanxi, China (Bachelor, Information Engineering)
  • 2013-2014 National Chiao Tung University (NCTU) HsinChu, Taiwan, China (exchange program)
  • 2016-2019 Tsinghua University (THU), Beijing, China (Master, Pattern Recognition and Intelligent System)

Working Experience

  • 2015 Technology and Engineering Center for Space Utilization, CAS (Intern), Software Developer
  • 2018 Huawei (Intern), Algorithm Engineer
  • 2019 NEC Lab China (Intern), Data Analysis Engineer
  • 2019-2021 Baidu, Computer Vision Algorithm Engineer
  • 2021-2023 Xiaomi, Senior Camera Algorithm Engineer

Selected Publications

Papers and Preprints
  • Z. Jia and W. Lu, "Blind Separation of Ground-Roll Using Interband Morphological Similarity and Pattern Coding," in IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 10, pp. 7166-7177, Oct. 2020, doi: 10.1109/TGRS.2020.2980415.
  • Z. Jia and W. Lu, "An End-to-End Hyperspectral Image Classification Method Using Deep Convolutional Neural Network With Spatial Constraint," in IEEE Geoscience and Remote Sensing Letters, vol. 18, no. 10, pp. 1786-1790, Oct. 2021, doi: 10.1109/LGRS.2020.3008051.
  • Zhuang Jia, Wenkai Lu, Meng Zhang, and Yongkang Miao, (2018), "Separating ground-roll from land seismic record via convolutional neural network," SEG Global Meeting Abstracts : 60-63.
  • Z. Jia and W. Lu, "CNN-Based Ringing Effect Attenuation of Vibroseis Data for First-Break Picking," in IEEE Geoscience and Remote Sensing Letters, vol. 16, no. 8, pp. 1319-1323, Aug. 2019, doi: 10.1109/ LGRS.2019.2895055.
  • Jia Z. Exploring Inter-frequency Guidance of Image for Lightweight Gaussian Denoising[J]. 2021.DOI: 10.48550/ arXiv.2112.11779.
  • Xu T, Jia Z, Zhang Y, et al. ELSR: Extreme Low-Power Super Resolution Network For Mobile Devices[J]. arXiv preprint arXiv:2208.14600, 2022.
Technical Books
  • Jia, Zhuang. (2020). Fundamentals of Machine Learning and Deep Learning Algorithms. Publisher: Peking University Press, ISBN: 9787301313473 link
  • Jia, Zhuang. (2024). Algorithms and Data Structures Illustrated. Publisher: China Railway Publishing House Co. Ltd, ISBN: 978711330675 link
  • Jia, Zhuang. (2024). Computer Vision Practice: Semantic Segmentation and Object Detection. Publisher: China Railway Publishing House Co. Ltd, ISBN: 9787113312220 link
  • Jia, Zhuang. (2024). Image Algorithms for Low-level Vision Tasks. Publisher: Publishing House of Electronics Industry, Broadview. ISBN: 9787121478765 link

Prizes & Awards

  • ECCV 2022 MIPI RGBW Joint Fusion and Denoise Challenge Rank 3 (PSNR Rank 1 , solo) certificate project
  • ECCV 2022 Mobile AI Real-time Video Super-Resolution Challenge Rank 1 (teamleader) certificate
  • CVPR 2023 PBVS Thermal Image Super-Resolution Challenge Rank 3 (x2 PSNR/SSIM, solo) certificate project
  • PBVS 2022 Multi-modal Aerial View Object Classification Challenge Track 2 (SAR+EO) Rank 6 project
  • 2019 Outstanding Graduate (Dept. Automation, Tsinghua University)
  • 2019 Excellent Dissertation of Master's Degree (Dept. Automation, Tsinghua University)
  • 2016 Outstanding Graduate (Xi'an Jiaotong University)
  • 2014 1st Prize Shaanxi Contest District of CUMCM (Contemporary Undergraduate Mathematical Contest in Modeling)
  • 2013, 2014 Outstanding Student (Xi'an Jiaotong University)
  • 2013, 2014 National Scholarship of China

Languages

  • English:CET-6(612)/ CET-4(660)
  • Deutsch:CGT-4(passed)
  • 日本語/にほんご:日本語能力試験 JLPT-N2(passed, 108/180)
0%