Zicong Jiang

Hello! I am a second-year PhD student at the MLC Lab, part of the Communication Systems Group, Chalmers University of Technology, Sweden. I am supervised by Assoc. Prof. Christian Häger, Prof. Erik Agrell, and Prof. Magnus Karlsson.

Previously, I completed my Master's thesis at IVRL, EPFL, working with Prof. Sabine Süsstrunk, Yufan Ren, and Prof. Søren Forchhammer.

I hold a Master's degree from Technical University of Denmark (DTU) and a Bachelor's degree from Northeast Electric Power University.

I am passionate about utilizing advanced ML algorithms to solve problems in communication systems, specifically joint optical fiber sensing and communication (OISAC/OJSAC), and implementing algorithms via FPGA. I am also deeply interested in generative models for 3D/2D editing.

If you are interested in doing thesis projects or research collaborations, please feel free to contact me!

Chalmers EPFL DTU NEEPU
News

Selected Publications

All publications on Google Scholar
All Publications

Conference Publications

  1. Z. Jiang, L. Zhao, and Y. Jia, "Design of Transmission Device Inspection Auxiliary Management System Based on Raspberry pi," ICITEE, 2019.

Journal Publications

  1. L. Zhao, Z. Jiang, Z. Teng, and Y. Jia, "Fault detection method for insulators using improved YOLOv4," Journal of Network Intelligence, 2022.
  2. Y. Jia, G. Chen, Z. Jiang, M. Yang, L. Xing, and Y. Cui, "A lightweight fast object detection method," Journal of Network Intelligence, 2022.
  3. L. Zhao, S. Zhou, Z. Teng, Z. Jiang, and Y. Jia, "Unsupervised Domain Adaptation Using Attention Network and New Loss Function," Journal of Network Intelligence, 2022.
  4. L. Zhao, Y. Zhang, Z. Teng, Z. Jiang, Y. Cui, and Z. Kan, "Conditional Adversarial Domain Adaption based on Self-attention," Journal of Network Intelligence, 2022.

Preprints

  1. Z. Jiang, L. Zhao, S. Li, and Y. Jia, "Real-time object detection method based on improved YOLOv4-tiny," arXiv preprint arXiv:2011.04244, 2020.
Selected Projects
WavelSDS: Wavelet representation for text-guided texture generation and editing
Master's Thesis @ EPFL (2024)

Proposed a wavelet-based Score Distillation Sampling (SDS) method to generate high-quality textures for complex mesh objects.

GEometry-conditioned Multi-View Diffusion for Text-Guided Texturing
Semester Project @ EPFL (2023)

Resolving multi-view inconsistency in 3D generation by leveraging geometry-conditioned diffusion models.

ML-based compensation of component distortion in optical communication systems
Special Course @ DTU (2022)

Investigated ML tools for pre/post-compensation of linear and nonlinear signal distortions in optical transmitters.

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Thesis Supervision
Services & Honors

🏆 Honors & Awards

  • Ericsson Research Foundation (2025,2026)
  • S.o.KG. Eliassons Scholarship (2025,2026)

⚖️ Professional Service

  • Reviewer:
    Journal of Lightwave Technology (2 papers)
  • Volunteer:
    ICCP 2024 Conference Volunteer

🏫 Department Work

  • Teaching Assistant @ Chalmers:
    EEN115: Intro. to Comm. Networks
  • Newcomer Helper @ Chalmers:
    Provide help and information to new researchers in the Communication Systems Group
  • Student Ambassador @ DTU

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