CHENGJIE FANG / RESEARCH ARCHIVEUCAS 2026.11

04 / Experience

Research experience

Industry research in autonomous agents, scientific workflows, and forecasting, alongside my academic training.

01

Industry internships

EXP.02Jul 2026 — Present CURRENT

ByteDance

LLM Algorithm Intern

TikTok Global E-commerce · Data

Beijing, China
  • Build agents for cross-border e-commerce logistics and supply-chain forecasting, connecting data, experimentation, and modeling platforms to automate information retrieval, task orchestration, and analysis.
  • Apply autonomous research workflows to delivery-time prediction through feature exploration, experiment design, result analysis, and iterative model evaluation.
Research agentsExperiment orchestrationSupply-chain forecasting
RESEARCH FOCUS

Autonomous research for real-world forecasting

EXP.01Mar — Jul 2026

Baidu

Agent Algorithm Intern

BMU Foundation Model Department · Frontier Research

Beijing, China
  • Developed an Auto Research framework for autonomous planning and iterative improvement in complex scientific workflows, with a focus on exploration strategies, context-state management, and sustained reasoning.
  • Designed and implemented the agent framework and experiment harness; contributed to algorithm development, experiments, and system validation.
Autonomous planningScientific reasoningContext-state management
RESEARCH FOCUS

Agents that plan, explore, and improve

02

Education

Sep 2020 — Jun 2024

Wuhan Institute of Technology

Undergraduate study in Intelligent Science and Technology

School of Computer Science and Engineering

Outstanding Graduate. Admitted to UCAS through the graduate recommendation pathway.

Research figure