Tianyi Bai
Tencent Hunyuan · Researcher / HKUST Ph.D.
Tianyi Bai
I am a Researcher at Tencent Hunyuan, working on computer use agents, web development (WebDev), and visual agents. I received my Ph.D. in Computer Science and Engineering from HKUST in August 2026, advised by Prof. Binhang Yuan. My research interests also include multimodal reasoning and data-centric AI, and I collaborate with Prof. Wentao Zhang at PKU DCAI. Feel free to email me about research or collaboration.

Selected Publications

Data-Centric AISIGMOD 2027
DataFlow: An LLM-Driven Framework for Unified Data Preparation and Workflow Automation in the Era of Data-Centric AI
DataFlow Team · Core contributor

Computer Use AgentTechnical Report · 2026
Qwen-CUA: Native Computer Use for (almost) Everything
Qwen Team · Core contributor

Multimodal GeometryICML 2026
Synthesizing Multimodal Geometry Datasets from Scratch and Enabling Visual Alignment via Plotting Code
Haobo Lin, Tianyi Bai , Chen Chen, Jiajun Zhang, Bohan Zeng, Wentao Zhang, Binhang Yuan

Multimodal ReasoningNeurIPS 2025
Hallucination at a Glance: Controlled Visual Edits and Fine-Grained Multimodal Learning
Tianyi Bai, Yuxuan Fan, Jiantao Qiu, Fupeng Sun, Jiayi Song, Junlin Han, Zichen Liu, Conghui He, Wentao Zhang, Binhang Yuan

Visual ReasoningNeurIPS 2025
Multi-Step Visual Reasoning with Visual Tokens Scaling and Verification
Tianyi Bai, Zengjie Hu, Fupeng Sun, Jiantao Qiu, Yizhen Jiang, Guangxin He, Bohan Zeng, Conghui He, Binhang Yuan, Wentao Zhang

Data SelectionACL 2025 Main
Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration
Tianyi Bai, Ling Yang, Zhen Hao Wong, Fupeng Sun, Jiahui Peng, Xinlin Zhuang, Chi Zhang, Lijun Wu, Jiantao Qiu, Wentao Zhang, Binhang Yuan, Conghui He

Data-Centric AIACM Computing Surveys, major revision
A Survey of Multimodal Large Language Model from A Data-centric Perspective
Tianyi Bai, Hao Liang, Binwang Wan, Ling Yang, Bozhou Li, Yifan Wang, Bin Cui, Conghui He, Binhang Yuan, Wentao Zhang

Coding AgentTechnical Report
Qwen3-Coder-Next Technical Report
Qwen Team
Experience
- Researcher
Developing computer use agents, web development capabilities, and visual agents. - Research Intern
I worked on computer use for Qwen3.5 / Qwen3.6 and browser use for Qwen3-Coder, spanning data construction, training, and evaluation. - Research Assistant
I contribute to DataFlow, with a focus on code-data workflows, code data pipeline construction, data processing, and quality filtering for training-ready code data. - Research Intern
I worked on data preparation and selection for LLM pretraining, including data management strategies for InternLM3-8B and Ray-based labeling pipelines for data selection. - Research Assistant
I studied transfer learning for Bayesian optimization and hyperparameter tuning. This work led to a KDD 2022 paper on transfer-learning-based search space design.