About Me

I am an undergraduate student at HKUST studying computer engineering. My research interests includes Autonomous Agents, Medical AI, Time Series Modeling, LLM, VLM, Explainable AI. In my spare time, I enjoy listening to music and reading novels. Please feel free to contact me for collaborations.

Education

2023 — Present

Bachelor in Computer Engieering

Hong Kong University of Science and Technology

Research Experience

August 2025 — April 2026

Machine Learning Research Assistant

As a Machine Learning Research Assistant focused on driving fatigue detection, I engineered an automated facial analysis pipeline to generate high-quality, standardized annotations for supervised learning tasks. For the publication “Bidirectional Temporal Dynamics Modeling for EEG-based Driving Fatigue Recognition,” I independently led the full research lifecycle: curating the dataset, designing the model architecture and hyperparameters, executing all experiments, and authoring the methodology, experimental design, results, and conclusion. I also produced all figures, tables, and technical diagrams to ensure clear, reproducible presentation of findings.

August 2025 — February 2026

Large Language Model Research Assistant

During my time working as a LLM research assistant, I implemented supervised fine-tuning (SFT) pipelines across multiple open-source LLMs (Qwen, Gemma, etc.) and curated large-scale, structured datasets to enable reproducible training and rigorous benchmarking. I developed targeted steering and intervention mechanisms to constrain model behavior and improve reasoning consistency. Additionally, I contributed to manuscript development by conducting technical reviews and refining the narrative structure to enhance clarity, accessibility, and publication readiness.

Publications

Bidirectional Temporal Dynamics Modeling for EEG-based Driving Fatigue Recognition

arXiv preprint

Yip Tin Po*, Jianming WANG*, Yutao Miao, Jiayan Zhang, Yunxu Zhao, Xiaomin Ouyang, Zhihong Li, Nevin L. Zhang

Good Arguments Against the People Pleasers: How Reasoning Mitigates (Yet Masks) LLM Sycophancy

ACL 2026 (Main Conference)

Zhaoxin Feng, Zheng CHEN, Jianfei Ma, Yip Tin Po, Emmanuele Chersoni, Bo Li

LogiConBench: Benchmarking Logical Consistencies of LLMs

ICLR 2026 (Poster)

Zheng CHEN*, Chuan Zhou*, Fengxiang Cheng, Yip Tin Po, Fenrong Liu, Yisen Wang, Jiajun Chai, Xiaohan Wang, Guojun Yin, Wei Lin, Haoxuan Li, Bo Li, Zhouchen Lin