• 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

• [2024/10] 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]
• [2024/03] Our paper “Content-aware Masked Image Modeling Transformer for Stereo Image Compression” was submitted. [Paper]
• [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]

📝 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”, submitted. [Paper]
  • 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]
  • 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.