About Me
- I am a Ph.D. candidate in Department of Electronic and Computer Engineering (ECE) at Hong Kong University of Science and Technology (HKUST), supervised by Prof. Jun Zhang. I received my B.Eng in School of Electronic Information and Enginnering from South China University of Science and Technology (SCUT) in 2021.
📌 My research interests lie in Neural Data Representation & Compression, Generative AI and Edge AI.
✉️ Welcome to contact me for any discussion and cooperation!
💥 💥 I anticipate graduating in 2025 and am open to both academic and industrial research positions in North America and Asia. If you are interested, please feel free to contact me. 💥 💥
🔥 News
- [2024/12] Our paper “CAMSIC: Content-aware Masked Image Modeling Transformer for Stereo Image Compression” was accepted to AAAI 2025. [Paper][Code]
- [2024/12] Our paper “Large Images are Gaussians: High-quality Large Image Representation with Levels of 2D Gaussian Splatting” was accepted to AAAI 2025.
- [2024/10] Our paper “MEGA: Memory-Efficient 4D Gaussian Splatting for Dynamic Scenes” was submitted. [Paper]
- [2024/10] Our paper “HarmoniCa: Harmonizing Training and Inference for Better Feature Cache in Diffusion Transformer Acceleration” was submitted. [Paper]
- [2024/06] Our paper “GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting” was accepted to ECCV 2024. [Paper][Code]
- [2024/06] Our paper “Bidirectional Stereo Image Compression with Cross-Dimensional Entropy Model” was accepted to ECCV 2024. [Paper][Code]
- [2024/02] Our paper “Boosting Neural Representations for Videos with a Conditional Decoder” was accepted to CVPR 2024 Highlight. [Paper][Code]
- [2024/02] Our paper “Task-aware Encoder Control for Deep Video Compression” was accepted to CVPR 2024. [Paper]
- [2023/12] Our paper “Large language models empowered autonomous edge AI for connected intelligence” was accepted to IEEE Communications Magazine. [Paper]
- [2023/09] Our paper “Task-oriented communication for edge video analytics” was accepted to IEEE Transactions on Wireless Communications. [Paper]
- [2023/03] Our paper “Low-complexity Deep Video Compression with A Distributed Coding Architecture” was accepted to ICME 2023. [Paper][Code]
- [2023/01] Our paper “LDMIC: Learning-based distributed multi-view image coding” was accepted to ICLR 2023. [Paper][Code]
🏢 Internship Experience
Research Intern @ 2050 Research, Skywork AI 🇸🇬 Singapore, Jun. 2024 - Dec. 2024 - Mentor: Dr. Yifan Zhang, Advisor: Prof. Shuicheng Yan
Research Intern @ Model Toolchain Team, SenseTime Research 🇨🇳 Beijing, Jan. 2024 - May 2024 - Mentor: Dr. Ruihao Gong
Research Intern @ ISP and Codec Team, SenseTime Research 🇨🇳 Beijing, May 2023 - Jan. 2024 - Mentor: Dr. Ren Yang
📝 Selected Publications
Refer to my Google Scholar Profile for full publication list.
- Neural Data Representation:
- X. Zhang, Z. Liu, Y. Zhang, X. Ge, D. He, T. Xu, Y. Wang, S. Yan and J. Zhang, “MEGA: Memory-Efficient 4D Gaussian Splatting for Dynamic Scenes”, submitted. [Paper]
- X. Zhang*, X. Ge*, T. Xu, D. He, Y. Wang, H. Qin, G. Lu, J. Geng, and J. Zhang, “GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting,” European Conference on Computer Vision (ECCV), Milano, Italy, Sept.-Oct. 2024. [Paper][Code] (* equal contribution)
- X. Zhang, R. Yang, D. He, X. Ge, T. Xu, Y. Wang, H. Qin, and J. Zhang, “Boosting Neural Representations for Videos with a Conditional Decoder,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, June 2024. [Paper][Code] (Highlight)
- Neural Data Compression:
- X. Zhang, S. Gao, Z. Liu, J. Shao, X. Ge, D. He, T. Xu, Y. Wang, and J. Zhang, “CAMSIC: Content-aware Masked Image Modeling Transformer for Stereo Image Compression”, Pro. AAAI Conference on Artificial Intelligence, Philadelphia, USA, Feb.-Mar. 2025. [Paper][Code]
- Z. Liu, X. Zhang, J. Shao, Z. Lin, J. Zhang, “Bidirectional Stereo Image Compression with Cross-Dimensional Entropy Model,” European Conference on Computer Vision (ECCV), Milano, Italy, Sept.-Oct. 2024. [Paper][Code]
- X. Ge, J. Luo, X. Zhang, T. Xu, G. Lu, D. He, J. Geng, Y. Wang, J. Zhang, and H. Qin, “Task-aware Encoder Control for Deep Video Compression,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, Jun. 2024. [Paper]
- X. Zhang, J. Shao, and J. Zhang, “Low-complexity Deep Video Compression with A Distributed Coding Architecture,” IEEE International Conference on Multimedia and Expo (ICME), Brisbane, Australia, Jul. 2023. [Paper] [Code]
- X. Zhang, J. Shao, and J. Zhang, “LDMIC: Learning-based distributed multi-view image coding,” International Conference on Learning Representations (ICLR), Kigali, Rwanda, May 2023. [Paper] [Code]
- Generative AI:
- Y. Huang, Z. Wang, R. Gong, J. Liu, X. Zhang, Jun Zhang, “HarmoniCa: Harmonizing Training and Inference for Better Feature Cache in Diffusion Transformer Acceleration”, submitted. [Paper]
- Edge AI:
- Y. Shen, J. Shao, X. Zhang, Z. Lin, H. Pan, D. Li, J. Zhang, K. B. Letaief, “Large language models empowered autonomous edge AI for connected intelligence,” IEEE Commun. Mag., to appear. [Paper]
- J. Shao, X. Zhang, and J. Zhang, “Task-oriented communication for edge video analytics,” IEEE Trans. Wireless Commun., to appear. [Paper]
- X. Zhang, X. Zhang and W. Yang, “Joint Offloading and Resource Allocation Using Deep Reinforcement Learning in Mobile Edge Computing,” IEEE Transactions on Network Science and Engineering, vol. 9, no. 5, pp. 3454-3466, 1 Sept.-Oct. 2022. [Paper]
- X. Zhang, J. Shao, Y. Mao, and J. Zhang, “Communication-Computation Efficient Device-Edge Co-Inference via AutoML,” IEEE Global Communications Conference (GLOBECOM), Madrid, Spain, December 2021. [Paper]
🎖 Selected Awards
- Hong Kong Postgraduate Scholarship, 2021-2025.
- Cai Jianzhong First Prize Scholarship, 2019-2020.
- Undergraduate National Scholarship, 2018-2019.
- Undergraduate National Scholarship, 2017-2018.