I’m a second year PhD student @GeorgiaTech, co-advised by Bo Dai and Chao Zhang.
Before this, I graduated with a Bachelor’s degree from Tsinghua University.

My research interests include LLMs, Modular Learning, and AI Agents.

📝 Publications and Preprints

• MLE-Smith: Scaling MLE Tasks with Automated Multi-Agent Pipeline,
  Rushi Qiang, Yuchen Zhuang, Anikait Singh, Percy Liang, Chao Zhang, Sherry Yang, Bo Dai.
  ICLR 2026.

• MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning Engineering,
  Rushi Qiang^*, Yuchen Zhuang^*, Yinghao Li, Dingu Sagar V K, Rongzhi Zhang, Changhao Li,
  Ian Shu-Hei Wong, Sherry Yang, Percy Liang, Chao Zhang, Bo Dai.
  NeurIPS 2025 Benchmark and Dataset.

• Towards Better Instruction Following Retrieval Models,
  Yuchen Zhuang^*, Aaron Trinh^*, Rushi Qiang^*, Haotian Sun,
  Chao Zhang, Hanjun Dai, Bo Dai. Preprint.

• AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning,
  Ruiyi Zhang^*, Rushi Qiang^*, Sai Ashish Somayajula, Pengtao Xie.
  NAACL 2024.

• HYDRA: Model Factorization Framework for Black-Box LLM Personalization,
  Yuchen Zhuang, Haotian Sun, Yue Yu, Rushi Qiang, Qifan Wang, Chao Zhang, Bo Dai.
  NeurIPS 2024.

• Matryoshka: Learning to Drive Black-Box LLMs with LLMs,
  Changhao Li^*, Yuchen Zhuang^*, Rushi Qiang, Haotian Sun,
  Hanjun Dai, Chao Zhang, Bo Dai.
  NeurIPS 2025.

• Language Model Uncertainty Quantification with Attention Chain,
  Yinghao Li, Rushi Qiang, Lama Moukheiber, Chao Zhang.
  COLM 2025.

🏭 Industrial Internship

• Feb 2nd, 2026 – present, Google DeepMind, Mountain View.

📖 Education

• 2024.08 – present, PhD student in Machine Learning, Georgia Institute of Technology.
• 2020.09 – 2024.06, B.Eng. in Automation, Tsinghua University.