Zhihao Yang

Hello! Welcome to my homepage.

I'm an incoming Ph.D. student in Computer Science at University of Chinese Academy of Sciences (UCAS), and currently an undergraduate student majoring in Computer Science at Tongji University in Shanghai, China. I am broadly interested in Computer Vision (CV) and Natural Language Processing (NLP). Currently, I focus on inference strategies for large language models (LLMs) and multimodal foundation models.

Previously, I was fortunate to be advised by Professor Min Yang and Professor 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