Scholar
Jiachen Liu
Google Scholar ID: -kQZFScAAAAJ
University of Michigan
Citations & Impact
Citations
907
H-index
8
i10-index
8
Publications
13
Co-authors
9
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- PhD Dissertation: "User-Centric Machine Learning Systems" (2025)
- Published multiple high-impact papers at top venues such as NeurIPS, MLSys, and TMLR, including:
- — "EXP-Bench: Can AI Conduct AI Research Experiments?" (Arxiv 2025, equal contribution)
- — "The ML.ENERGY Benchmark: Toward Automated Inference Energy Measurement and Optimization" (NeurIPS 2025 Spotlight)
- — "Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents" (Arxiv 2025, equal contribution)
- — "Andes: Defining and Enhancing Quality-of-Experience in LLM-Based Text Streaming Services" (Arxiv 2024)
- — "IaC-Eval: A code generation benchmark for Infrastructure-as-Code programs" (NeurIPS 2024)
- — "Venn: Resource Management for Collaborative Learning Jobs" (MLSys 2025)
- — "Efficient Large Language Models: A Survey" (TMLR 2024)
- — "FedTrans: Efficient Federated Learning via Multi-Model Transformation" (MLSys)
Background
- Optimist and strong advocate of AGI
- Research interests include AI for Science (AI4S), MLSys, and AI Agents
- Focuses on building efficient systems to push the boundaries of machine learning, including LLM serving systems, LLM training systems (e.g., Meta Llama Training Systems), and Agentic RL
- Maintains comprehensive paper collections on Private ML Systems and LLM Systems
- Open to meaningful research discussions and academic collaborations; contact via email or meeting scheduling
