HKUST CSE Ph.D. / Agentic AI / Data-Centric AI

Tianyi Bai

I am a Ph.D. student in Computer Science at HKUST, advised by Prof. Binhang Yuan. My research focuses on building capable computer-use and coding agents, with an emphasis on data-centric methods for improving their training, evaluation, and multimodal reasoning abilities. I am fortunate to intern at Qwen, where I work with Binyuan Hui and Junyang Lin. I also collaborate with Prof. Wentao Zhang at PKU DCAI.

CV Google Scholar Email GitHub

Research Interests Computer Use Agent Coding Agent Multimodal Reasoning Data-Centric AI

Representative Work

Computer Use Agent

Qwen3.5 / Qwen3.6

Leading Computer Use Agent capability work across RL infrastructure, annotation quality, data pipelines, training, evaluation, and bad case analysis.

Coding Agent

Qwen3-Coder

Contributed to the Browser Use Agent module, including browser interaction data construction, capability improvement, training pipeline support, and evaluation.

Data Pipeline

DataFlow

Responsible for the code data pipeline, including code data processing, quality filtering, pipeline orchestration, and preparation of training-ready code data.

Selected Work

Coding AgentTechnical Report

Qwen3-Coder-Next Technical Report

Qwen Team

Multimodal GeometryICML 2026

Synthesizing Multimodal Geometry Datasets from Scratch and Enabling Visual Alignment via Plotting Code

Haobo Lin, Tianyi Bai Mentor, 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

Experience

• May 2025 - Present / Alibaba Qwen TeamResearch Intern
  I work on agent capabilities for Qwen models, including Browser Use Agent for Qwen3-Coder and Computer Use Agent for Qwen3.5/Qwen3.6. My work spans data construction, RL infrastructure, training, evaluation, and failure analysis.
• Dec 2023 - Dec 2025 / Peking University DCAI GroupResearch 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.
• Mar 2024 - May 2025 / Shanghai Artificial Intelligence Laboratory, OpenDataLabResearch 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.
• Jul 2021 - Jul 2023 / Peking University DAIR GroupResearch 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.