About Me
Greetings! 👋
I’m Ziyi Zhao, currently a Ph.D. student at the University of Technology Sydney (UTS). I’m fortunate to be a member of the HAI Center (Human-Centric Artificial Intelligence), where I work at the intersection of EEG decoding and deep learning, under the guidance of Prof. Chin-Teng Lin and Dr. YK Wang.
I earned my Master’s from Tongji University in 2023, advised by Prof. Lei Wang, and previously studied at EPFL as an visiting scholar in the CVLab with Prof. Pascal Fua and Dr. Sena Kiciroglu. My academic journey began at Jilin University, where I received my Bachelor’s degree.
Education
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Ph.D., University of Technology Sydney (UTS), Sydney, Australia🇦🇺 Dec. 2023 – Jun. 2027
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Visiting Scholar, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland🇨🇭 Feb. 2022 – Dec. 2022
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M.Eng., Tongji University, Shanghai, China🇨🇳
Sep. 2020 – Jun. 2023 -
B.Eng., Jilin University, Changchun, China
Sep. 2016 – Jun. 2020🇨🇳
News
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Oct. 12, 2024 — Founded Palm Stream Pty Ltd, a startup focused on health and longevity technologies.
👉 Visit the website: palmstream.net -
Jan. 1, 2024 — Officially enrolled as a Ph.D. student at University of Technology Sydney (UTS).
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Jun. 30, 2023 — Graduated with a Master’s degree from Tongji University 🎓
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Sep. 17, 2022 — Our paper, 3D Pose Based Feedback for Physical Exercises, was accepted by ACCV 2022 🎉
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Sep. 16, 2022 — IELTS Academic test and scored 7.0 overall
(Listening: 7.0, Reading: 8.0, Writing: 6.0, Speaking: 6.5) -
Aug. 1 – Sep. 15, 2022 — Completed a VR-related internship at the Immersive Interaction Group (IIG), EPFL.
Supervised by Mathias Delahaye (Ph.D. candidate) and Dr. Ronan Boulic (Senior Scientist). -
Feb. 17, 2022 — Arrived in Lausanne, Switzerland 🇨🇭 — began exchange study at EPFL.
Publications
Human Motion Correction

3D Pose Based Feedback For Physical Exercises
Ziyi Zhao, Sena Kiciroglu, Hugues Vinzant, Yuan Cheng, Isinsu Katircioglu, Mathieu Salzmann, Pascal Fua
Cited by: 23 • Published at Asian Conference on Computer Vision (ACCV)
A learning-based framework that identifies incorrect postures in physical exercise and provides real-time corrections — preventing injury and enabling better form for individual users.
Music Generation & AI Survey

A Review of Intelligent Music Generation Systems
Ziyi Zhao, Hanwei Liu, Song Li, Junwei Pang, Maoqing Zhang, Yi Qin, Lei Wang, Qidi Wu
Cited by: 40 • Neural Computing and Applications, 2024
A comprehensive review of deep learning-based music generation systems, analyzing differences between Eastern and Western composition styles and surveying SOTA architectures.
Brain-Computer Interfaces (BCI)

Neural Spelling: A Spell-Based BCI System for Language Neural Decoding
X Jiang, C Zhou, Y Duan, Z Zhao, T Do, CT Lin
arXiv preprint 2025 • Cited by: 1
Proposes a spell-based brain-computer interface system, using EEG signals to perform spelling prediction. Demonstrates promising decoding accuracy on offline datasets.

Towards Linguistic Neural Representation Learning and Sentence Retrieval from EEG Recordings
J Zhou, Y Duan, Z Zhao, YC Chang, YK Wang, T Do, CT Lin
1st Intl. Workshop on Brain-Computer Interfaces, 2024 • Cited by: 2
Explores transformer-based EEG representation learning for sentence retrieval, establishing a benchmark pipeline for EEG2NLP generation tasks.
Teaching Experience
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Teaching Assistant, 42174 - AI Studio, University of Technology Sydney
Feb 2025 – May 2025 -
Teaching Assistant, 41129 - Software Innovation Studio, University of Technology Sydney
Aug 2024 – Nov 2024
Peer Review
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Reviewer, Applied Intelligence
Since Oct 2023 — Focus: Machine Learning Applications, Healthcare AI -
Reviewer, Neural Computing and Applications
Since Dec 2023 — Focus: Deep Learning, Brain-Computer Interfaces, Music Generation -
Reviewer, IEEE Transactions on Multimedia
Since Aug 2024 — Focus: Multimodal Learning
MISC
China Patent
— An automatic control device for window shades, Ziyi Zhao, 2022. Application No.202223147747.9-
Software Copyright
— Automatic colour recognition system based on HSV algorithm, Ziyi Zhao, 2020. CNIPA Reg. No. 2020SR0314601
🕒 Last updated: May 2025