I am currently an assistant researcher and a postdoctoral fellow at Department of Electronic Engineering, Shanghai Jiao Tong University. Previously, I obtained my Ph.D. degree from Shanghai Jiao Tong University (SJTU) in 2022, supervised by Prof. Xiaolin Wu.
I was also a visiting Ph.D. student (2019 - 2020) with the Department of Electrical and Computer Engineering at McMaster University, Canada.
I received my bachelor’s degree in Mathematics and Physics Basic Science from UESTC in 2015.

My research interests include image and video processing, especially in image and video compression, enhancement, etc. I am also interested in other deep learning tasks such as domain generalization and visual reasoning. I have published more than 10 papers at the top international AI Journals and conferences such as TPAMI, TIP, NeurIPS, CVPR, AAAI, etc.

🔥 News

• 2024.01:  🎉 One paper on light field image compression is accepted by JVCI.
• 2023.03:  🎉 One paper on vector quantization for image compression is accepted by CVPR 2023.
• 2022.03:  🎉 One paper on multi-modality face video restoration is accepted by TPAMI.
• 2021.02:  🎉 One paper on ROI image compression is accepted by CVPR 2021.
• 2020.12:  🎉 One paper on high fidelity image compression is accepted by TIP.
• 2020.09:  🎉 One paper on numerosity is accepted by NeurIPS 2020.
• 2020.07:  🎉 One paper on multi-modality video restoration is accepted by ACMMM 2020.
• 2020.02:  🎉 One paper on face video decompression is accepted by CVPR 2020.

📝 Publications

Preprints

• arXivFLLIC: Functionally Lossless Image Compression. Xi Zhang, Xiaolin Wu.

• arXivDual-layer Image Compression via Adaptive Downsampling and Spatially Varying Upconversion. Xi Zhang, Xiaolin Wu.

• arXivAsymmetric Coding for Ultrahigh Throughput Encoding (ACUTE).Seyed Mehdi Ayyoubzadeh, Xi Zhang, Xiaolin Wu.

Published

• JVCI 2024Low-complexity L∞–compression of Light Field Images with a Deep-Decompression Stage. Muhammad Umair Mukati, Xi Zhang, Xiaolin Wu, Søren Forchhammer.

• CVPR 2023 LVQAC: Lattice Vector Quantization Coupled with Spatially Adaptive Companding for Efficient Learned Image Compression.
  Xi Zhang, Xiaolin Wu.

• TPAMI 2023 Multi-modality Deep Restoration of Extremely Compressed Face Videos. Xi Zhang, Xiaolin Wu.

• TIP 2022 Ultra High Fidelity Deep Image Decompression with L∞-constrained Compression. Xi Zhang, Xiaolin Wu.

• CVPR 2021 Attention-guided Image Compression by Deep Reconstruction of Compressive Sensed Saliency Skeleton. Xi Zhang, Xiaolin Wu.

• CVPR 2020 DAVD-Net: Deep Audio-aided Video Decompression of Talking Heads. Xi Zhang, Xiaolin Wu, Xinliang Zhai, Xianye Ben and Chengjie Tu.

• NeurIPS 2020 On Numerosity of Deep Neural Networks. Xi Zhang, Xiaolin Wu.

• ACMMM 2020 Deep Multi-modality Soft-decoding of Very Low Bit-rate Face Videos. Yanhui Guo, Xi Zhang, Xiaolin Wu.

• AAAI 2019 Cognitive Deficit of Deep Learning in Numerosity. Xiaolin Wu, Xi Zhang, Xiao Shu.

• ICASSP 2019 Nonlinear Prediction of Multidimensional Signals via Deep Regression with Applications to Image Coding. Xi Zhang, Xiaolin Wu.

• DCC 2019 Near-Lossless L∞-Constrained Image Decompression via Deep Neural Network. Xi Zhang, Xiaolin Wu.

• VCIP 2017 Illumination invariant feature based on neighboring radiance ratio. Xi Zhang, Xiaolin Wu.

📖 Educations

• 2015.09 - 2021.12, Ph.D., Shanghai Jiao Tong University, China.
• 2019.10 - 2020.10, Visiting Ph.D. student, McMaster University, Canada.
• 2011.09 - 2015.06, Undergraduate, University of Electronic Science and Technology of China.

🎖 Honors and Awards

• 2022.12 Shanghai Super Postdoctoral Fellowship
• 2019.10 SJTU Outstanding Overseas Study Scholarship
• 2014.10 National Scholarship (Undergraduate) (Top 1%)
• 2013.10 National Scholarship (Undergraduate) (Top 1%)

💻 Internships

• 2021.03 - 2021.06, Shannon Lab, Tencent.
• 2019.06 - 2019.09, Video R&D Center, Tencent.

💬 Academic Service

Journal Reviewer

• TIP, TMM, TCSVT,

Conference Reviewer

• CVPR 2021-2024, ICLR 2024, NeurIPS 2023, ICCV 2023, ECCV 2022-2024, WACV 2024