Zhengyang Tang

Ph.D. Candidate, The Chinese University of Hong Kong, Shenzhen

I study agentic systems that interact with real environments, and how to evaluate them.

About

I am a Ph.D. candidate at The Chinese University of Hong Kong, Shenzhen, advised by Prof. Benyou Wang and co-supervised by Ming Yan. My research focuses on agentic systems built with large language models, especially systems that can perceive, reason, and act in real environments.

I am especially interested in coding agents, computer-use agents, and phone-use agents, with a focus on making them more capable, reliable, and privacy-aware in practical settings.

I have had the opportunity to work with teams including Tencent Hunyuan, Moonshot AI (Kimi), Qwen, and Microsoft Research Asia.

Selected Publications

For a full list, please see Google Scholar. (* denotes equal contribution.)

Do Phone-Use Agents Respect Your Privacy?
Zhengyang Tang*, Ke Ji*, Xidong Wang*, Zihan Ye*, Xinyuan Wang, Yiduo Guo, et al.
arXiv Preprint, 2026
CALM Before the STORM: Unlocking Native Reasoning for Optimization Modeling
Zhengyang Tang*, Zihan Ye*, Chenyu Huang*, Xuhan Huang, Chengpeng Li, Sihang Li, et al.
arXiv Preprint, 2025
CoRT: Code-integrated Reasoning within Thinking
Chengpeng Li*, Zhengyang Tang*, Ziniu Li*, Mingfeng Xue, Keqin Bao, et al.
NeurIPS, 2025
Self-Evolving Critique Abilities in Large Language Models (SCRIT)
Zhengyang Tang*, Ziniu Li*, Zhenyang Xiao*, Tian Ding, Ruoyu Sun, Benyou Wang, et al.
COLM, 2025
ORLM: A Customizable Framework in Training Large Models for Automated Optimization Modeling
Chenyu Huang*, Zhengyang Tang*, Shixi Hu, Ruoqing Jiang, Xin Zheng, Dongdong Ge, Benyou Wang, Zizhuo Wang
Operations Research, 2025
MathScale: Scaling Instruction Tuning for Mathematical Reasoning
Zhengyang Tang, Xingxing Zhang, Benyou Wang, Furu Wei
ICML, 2024
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models (GLAN)
Haoran Li*, Qingxiu Dong*, Zhengyang Tang*, Chaojun Wang*, Xingxing Zhang, et al.
TMLR, 2025
Second Language (Arabic) Acquisition of LLMs via Progressive Vocabulary Expansion
Jianqing Zhu*, Huang Huang*, Zhihang Lin*, Juhao Liang*, Zhengyang Tang*, Khalid Almubarak, et al.
ACL 2025 (Oral & Panel)
DPTDR: Deep Prompt Tuning for Dense Passage Retrieval
Zhengyang Tang, Benyou Wang, Ting Yao
COLING, 2022
Kimi K2.5: Visual Agentic Intelligence
Kimi Team (including Zhengyang Tang)
Technical Report, 2026
Qwen3 Technical Report
Qwen Team (including Zhengyang Tang)
Technical Report, 2025

Talks

Invited Talk on MathScale, ICML, Jul 2024. [Slides]
Invited Talk on Dense Passage Retrieval, Baidu Search Department, 2022.

Selected Patents

Service

Reviewer for ACL Rolling Review (since 2024), COLM, NeurIPS, ICLR, and ICML.

Awards / Honors

Runner-up, LIC 2022 Passage-Ranking Competition (2nd place / 793 teams), Baidu & CCF, 2022.
Top-3 Ranking, MS MARCO Passage Ranking Leaderboard, Microsoft Research, 2022.