Multi-objective Neural Architecture Search with Almost No Training. - Shengran Hu; Ran Cheng; Cheng He 001; Zhichao Lu (EMO, 2021)

Accelerating Multi-Objective Neural Architecture Search by Random-Weight Evaluation. - Shengran Hu; Ran Cheng; Cheng He 001; Zhichao Lu; Jing Wang; Miao Zhang (CoRR, 2021)

Thought Cloning: Learning to Think while Acting by Imitating Human Thinking. - Shengran Hu; Jeff Clune (NeurIPS, 2023)

Automated Design of Agentic Systems. - Shengran Hu; Cong Lu; Jeff Clune (ICLR, 2025)

Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models. - Cong Lu; Shengran Hu; Jeff Clune (ICLR, 2025)

Automated Capability Discovery via Model Self-Exploration. - Cong Lu; Shengran Hu; Jeff Clune (CoRR, 2025)

The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search. - Yutaro Yamada; Robert Tjarko Lange; Cong Lu; Shengran Hu; Chris Lu 001; Jakob N. Foerster; Jeff Clune; David Ha (CoRR, 2025)

Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents. - Jenny Zhang; Shengran Hu; Cong Lu; Robert T. Lange; Jeff Clune (CoRR, 2025)