About Me

Hello, I’m Zhi Cheng, currently a master’s student at the Department of Computer Science and Technology in Tsinghua University, supervised by Prof. Juanzi Li.

My recent work includes performing supervised fine-tuning (SFT) on large language model (LLM) for downstream tasks, neuro-symbolic reasoning with LLM for knowledge-based question answering (KBQA), as well as retrieval-augmented generation (RAG).

Prior to embarking on my master’s journey, I had the privilege of gaining valuable work experience at startup, particularly in the development of face anti-spoofing and voice cloning projects.

I earned my Bachelor’s Degree in Automation from Shanghai Jiao Tong University where I conducted research in various areas, including Semi-Supervised Learning and Graph Neural Networks. My enthusiasm for learning and self-improvement drives me forward.

I am expected to graduate in June 2025 and am actively seeking job opportunities in the fields of LLM, RAG, and related areas. If you think we could be a good fit, I’d love to connect!

Publications

DiaKoP: Dialogue-based Knowledge-oriented Programming for Neural-symbolic Knowledge Base Question Answering Zhicheng Lee*, Zhidian Huang*, Zijun Yao, Jinxin Liu, Amy Xin, Lei Hou, Juanzi Li.
Conference on Information and Knowledge Management (CIKM demo track), 2024

Deep Semi-Supervised Learning via Dynamic Anchor Graph Embedding Learning
Zihao Wang, Enmei Tu, Zhicheng Lee
International Joint Conference on Neural Networks (IJCNN), 2021