Clinical, functional, and radiographic outcomes following total knee arthroplasty with patient-specific instrumentation, computer-assisted surgery, and manual instrumentation: a short-term follow-up study. - Mark Yaffe; Michael Luo; Nitin Goyal; Philip Chan; Anay Patel; Max Cayo; S. David Stulberg (Int. J. Comput. Assist. Radiol. Surg., 2014)

IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks. - Michael Luo; Jiahao Yao; Richard Liaw; Eric Liang; Ion Stoica (ICLR, 2020)

Distributed Reinforcement Learning is a Dataflow Problem. - Eric Liang; Zhanghao Wu; Michael Luo; Sven Mika; Ion Stoica (CoRR, 2020)

Context-Conditioning as Cognitive Control: Guiding Meta-learning with Task Information. - Rachit Dubey; Erin Grant; Michael Luo; Karthik Narasimhan; Thomas L. Griffiths 001 (CoRR, 2020)

LazyDAgger: Reducing Context Switching in Interactive Imitation Learning. - Ryan Hoque; Ashwin Balakrishna; Carl Putterman; Michael Luo; Daniel S. Brown; Daniel Seita; Brijen Thananjeyan; Ellen R. Novoseller; Ken Goldberg (CASE, 2021)

Discovering Non-monotonic Autoregressive Orderings with Variational Inference. - Xuanlin Li; Brandon Trabucco; Dong Huk Park; Michael Luo; Sheng Shen 001; Trevor Darrell; Yang Gao 029 (ICLR, 2021)

Learning Seed Placements and Automation Policies for Polyculture Farming with Companion Plants. - Yahav Avigal; Anna Deza; William Wong; Sebastian Oehme; Mark Presten; Mark Theis; Jackson Chui; Paul Shao; Huang Huang; Atsunobu Kotani; Satvik Sharma; Rishi Parikh; et al. (ICRA, 2021)

Accelerating Quadratic Optimization with Reinforcement Learning. - Jeffrey Ichnowski; Paras Jain 001; Bartolomeo Stellato; Goran Banjac; Michael Luo; Francesco Borrelli; Joseph E. Gonzalez; Ion Stoica; Ken Goldberg (NeurIPS, 2021)

RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem. - Eric Liang; Zhanghao Wu; Michael Luo; Sven Mika; Joseph E. Gonzalez; Ion Stoica (NeurIPS, 2021)

MESA: Offline Meta-RL for Safe Adaptation and Fault Tolerance. - Michael Luo; Ashwin Balakrishna; Brijen Thananjeyan; Suraj Nair 003; Julian Ibarz; Jie Tan 001; Chelsea Finn; Ion Stoica; Ken Goldberg (CoRR, 2021)

Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones. - Brijen Thananjeyan; Ashwin Balakrishna; Suraj Nair 003; Michael Luo; Krishnan Srinivasan; Minho Hwang; Joseph E. Gonzalez; Julian Ibarz; Chelsea Finn; Ken Goldberg (IEEE Robotics Autom. Lett., 2021)

Balsa: Learning a Query Optimizer Without Expert Demonstrations. - Zongheng Yang; Wei-Lin Chiang; Sifei Luan 001; Gautam Mittal; Michael Luo; Ion Stoica (SIGMOD Conference, 2022)

SkyPilot: An Intercloud Broker for Sky Computing. - Zongheng Yang; Zhanghao Wu; Michael Luo; Wei-Lin Chiang; Romil Bhardwaj; Woosuk Kwon; Siyuan Zhuang; Frank Sifei Luan; Gautam Mittal; Scott Shenker; Ion Stoica (NSDI, 2023)

Stylus: Automatic Adapter Selection for Diffusion Models. - Michael Luo; Justin Wong; Brandon Trabucco; Yanping Huang; Joseph E. Gonzalez; Zhifeng Chen; Ruslan Salakhutdinov; Ion Stoica (NeurIPS, 2024)

Starburst: A Cost-aware Scheduler for Hybrid Cloud. - Michael Luo; Siyuan Zhuang; Suryaprakash Vengadesan; Romil Bhardwaj; Justin Chang; Eric J. Friedman; Scott Shenker; Ion Stoica (USENIX ATC, 2024)

SimpleStrat: Diversifying Language Model Generation with Stratification. - Justin Wong; Yury Orlovskiy; Michael Luo; Sanjit A. Seshia; Joseph E. Gonzalez (CoRR, 2024)

Autellix: An Efficient Serving Engine for LLM Agents as General Programs. - Michael Luo; Xiaoxiang Shi; Colin Cai; Tianjun Zhang; Justin Wong; Yichuan Wang; Chi Wang; Yanping Huang; Zhifeng Chen; Joseph E. Gonzalez; Ion Stoica (CoRR, 2025)

WorldModelBench: Judging Video Generation Models As World Models. - Dacheng Li; Yunhao Fang; Yukang Chen; Shuo Yang; Shiyi Cao; Justin Wong; Michael Luo; Xiaolong Wang 004; Hongxu Yin; Joseph E. Gonzalez; Ion Stoica; Song Han 003; et al. (CoRR, 2025)