Zhihao Yang

Hello! Welcome to my homepage.

I am a first-year Ph.D. student in Computer Science at the University of Chinese Academy of Sciences (UCAS), advised by Prof. Min Yang. Prior to this, I obtained my B.Eng. degree in Computer Science from Tongji University. I am generally interested in LLM and VLM Reasoning, especially in advanced inference strategies (such as test-time guidance, collaborative verification, and data synthesis). Previously, I was fortunate to be advised by Prof. Yujun Cai.

Email / Wechat / Scholar / Github

Publications

Structuring Reasoning for Complex Rules Beyond Flat Representations
Zhihao Yang^*, Ancheng Xu^*, Jingpeng Li, Liang Yan, Jiehui Zhou, Zhen Qin, Hengyun Chang, Ahmadreza Argha, Hamid Alinejad-Rokny, Minghuan Tan, Yujun Cai^† Min Yang^†
arXiv, 2025
project page / arXiv

An approach which equips LLMs with a structured template to methodically gather and verify evidence within complex rule systems, drastically improving reasoning fidelity.

EVADE: Multimodal Benchmark for Evasive Content Detection in E-Commerce Applications
Ancheng Xu^*, Zhihao Yang^*, Jingpeng Li, Guanghu Yuan, Longze Chen, Liang Yan, Jiehui Zhou, Zhen Qin, Hengyun Chang, Hamid Alinejad-Rokny, Min Yang^†
arXiv, 2025
project page / arXiv

EVADE is the first expert-curated, Chinese, multimodal benchmark specifically designed to evaluate foundation models on evasive content detection in e-commerce.

Working Experience

Alibaba

Alibaba Group, Taotian Group – Alimama Advertising Technology Department

Research Intern, 2025
Research Topic: Large Language Models (LLMs) and Multimodal Intelligence

source code