I am a Master’s student at the University of Zurich, majoring in Artificial Intelligence. Since August 2024, I have been working as a Student Researcher at the Computer Vision Lab (CVL), ETH Zurich, fortunately advised by Prof. Dr. Guolei Sun and Dr. Yawei Li.

My research aims to build efficient and robust perception systems for intelligent agents. Currently, I focus on:

• Video Understanding: Robust segmentation and object tracking in dynamic scenes (crucial for robot perception).
• Efficient AI: Model quantization and compression to enable foundation models on resource-constrained edge devices.
• Embodied AI: Bridging the gap between vision foundation models and robotic control.

Prior to my master’s, I spent 3 years as an Algorithm Engineer at Servyou Group, where I specialized in building large-scale ML infrastructure and real-time deployment systems.

🔥 News

• [Sept. 2025] One paper on Video Camouflaged Object Segmentation (CamSAM2) was accepted to NeurIPS 2025!
• [Jun. 2025] One paper was accepted to Visual Intelligence!
• [Aug. 2024] Joined Computer Vision Lab (CVL) at ETH Zurich as a Student Researcher.

📝 Publications

(* indicates equal contribution)

Yuli Zhou, Qingxuan Chen, Luca Benini, Guolei Sun, Yawei Li. Revisiting adaptive rounding with vectorized reparameterization for LLM quantization. preprint (2025).
[paper] [code].

Yuli Zhou, Yawei Li, Yuqian Fu, Luca Benini, Ender Konukoglu, Guolei Sun. CamSAM2: Segment anything accurately in camouflaged videos. NeurIPS 2025 (2025).
[paper] [code]

Yuli Zhou, Guolei Sun, Yawei Li, Guo-Sen Xie, Luca Benini, Ender Konukoglu. When SAM2 meets video camouflaged object segmentation: a comprehensive evaluation and adaptation. Visual Intelligence 3, 10 (2025).
[paper] [code]

Yung-Hsin Chen*, Yuli Zhou*. Enhancing OCR performance through Post-OCR models: Adopting glyph embedding for improved correction. arXiv preprint (2023).
[paper]

Canghong Jin, Yuli Zhou, Shengyu Ying, Chi Zhang, Weisong Wang, Minghui Wu. A knowledge-fusion ranking system with an attention network for making assignment recommendations. Computational Intelligence and Neuroscience, 6748430 (2020).
[paper]

🎓 Education

M.Sc. in Artificial Intelligence, Minor in Data Science (Feb. 2023 - Present)

Special Student in Computer Science (Feb. 2023 - Present)

B.Eng. in Computer Science (Sep. 2016 - Jun. 2020)

💻 Work Experience

Algorithm Engineer (Jun. 2019 - Jul. 2022)

• Machine Learning Platform: Designed a Kubernetes-based ML platform; implemented core compilers and data pipelines.
• Intelligent Customer Service: Built a BERT-based Q&A bot achieving 90% resolution rate.
• Image Recognition: Architected high-concurrency OCR systems (CNN+LSTM, YOLO) with 99.99% SLA.