The power of foregone payoffs: a mousetracking study. - Taisuke Imai; Alec Smith; Stephanie Wang; Colin F. Camerer (BQGT, 2010)

Real-Time Machine Learning: The Missing Pieces. - Robert Nishihara; Philipp Moritz; Stephanie Wang; Alexey Tumanov; William Paul; Johann Schleier-Smith; Richard Liaw; Mehrdad Niknami; Michael I. Jordan; Ion Stoica (HotOS, 2017)

Verifying a high-performance crash-safe file system using a tree specification. - Haogang Chen 001; Tej Chajed; Alex Konradi; Stephanie Wang; Atalay Mert Ileri; Adam Chlipala; M. Frans Kaashoek; Nickolai Zeldovich (SOSP, 2017)

Ray: A Distributed Framework for Emerging AI Applications. - Philipp Moritz; Robert Nishihara; Stephanie Wang; Alexey Tumanov; Richard Liaw; Eric Liang; William Paul; Michael I. Jordan; Ion Stoica (CoRR, 2017)

Training Classifiers with Natural Language Explanations. - Braden Hancock; Paroma Varma; Stephanie Wang; Martin Bringmann; Percy Liang; Christopher Ré (ACL (1), 2018)

Garment-based EMG system for intra-spacesuit biomechanics analysis. - J. Walter Lee; Stephanie Wang; Caroline Albers; Lucy E. Dunne (UbiComp, 2018)

Learning to Play With Intrinsically-Motivated, Self-Aware Agents. - Nick Haber; Damian Mrowca; Stephanie Wang; Li Fei-Fei 001; Daniel L. K. Yamins (NeurIPS, 2018)

Ray: A Distributed Framework for Emerging AI Applications. - Philipp Moritz; Robert Nishihara; Stephanie Wang; Alexey Tumanov; Richard Liaw; Eric Liang; Melih Elibol; Zongheng Yang; William Paul; Michael I. Jordan; Ion Stoica (OSDI, 2018)

Exploring the Utility of Developer Exhaust. - Jian Zhang 049; Max Lam; Stephanie Wang; Paroma Varma; Luigi Nardi; Kunle Olukotun; Christopher Ré (DEEM@SIGMOD, 2018)

Lineage stash: fault tolerance off the critical path. - Stephanie Wang; John Liagouris; Robert Nishihara; Philipp Moritz; Ujval Misra; Alexey Tumanov; Ion Stoica (SOSP, 2019)

Practical Volume-Based Attacks on Encrypted Databases. - Stephanie Wang; Rishabh Poddar; Jianan Lu; Raluca Ada Popa (IACR Cryptol. ePrint Arch., 2019)

A Hybrid Material Point Method for Frictional Contact with Diverse Materials. - Xuchen Han; Theodore F. Gast; Qi Guo 006; Stephanie Wang; Chenfanfu Jiang; Joseph Teran (Proc. ACM Comput. Graph. Interact. Tech., 2019)

Simulation and Visualization of Ductile Fracture with the Material Point Method. - Stephanie Wang; Mengyuan Ding; Theodore F. Gast; Leyi Zhu; Steven Gagniere; Chenfanfu Jiang; Joseph M. Teran (Proc. ACM Comput. Graph. Interact. Tech., 2019)

A thermomechanical material point method for baking and cooking. - Mengyuan Ding; Xuchen Han; Stephanie Wang; Theodore F. Gast; Joseph M. Teran (ACM Trans. Graph., 2019)

A Novel Public Health Intervention Strategy for the Control of Infectious Disease Outbreaks Among Dynamic Metapopulation Networks. - Stephanie Wang (ICBSP, 2020)

Hoplite: Efficient Collective Communication for Task-Based Distributed Systems. - Siyuan Zhuang; Zhuohan Li 001; Danyang Zhuo; Stephanie Wang; Eric Liang; Robert Nishihara; Philipp Moritz; Ion Stoica (CoRR, 2020)

A Material Point Method for Elastoplasticity with Ductile Fracture and Frictional Contact. - Stephanie Wang (2020)

Everything is a Transaction: Unifying Logical Concurrency Control and Physical Data Structure Maintenance in Database Management Systems. - Ling Zhang; Matthew Butrovich; Tianyu Li 001; Andrew Pavlo; Yash Nannapaneni; John Rollinson; Huanchen Zhang; Ambarish Balakumar; Daniel Biales; Ziqi Dong; Emmanuel J. Eppinger; Jordi E. Gonzalez; et al. (CIDR, 2021)

In reference to RPC: it's time to add distributed memory. - Stephanie Wang; Benjamin Hindman; Ion Stoica (HotOS, 2021)

Ownership: A Distributed Futures System for Fine-Grained Tasks. - Stephanie Wang; Eric Liang; Edward Oakes; Benjamin Hindman; Frank Sifei Luan; Audrey Cheng; Ion Stoica (NSDI, 2021)

Hoplite: efficient and fault-tolerant collective communication for task-based distributed systems. - Siyuan Zhuang; Zhuohan Li 001; Danyang Zhuo; Stephanie Wang; Eric Liang; Robert Nishihara; Philipp Moritz; Ion Stoica (SIGCOMM, 2021)

Rearchitecting In-Memory Object Stores for Low Latency. - Danyang Zhuo; Kaiyuan Zhang 001; Zhuohan Li 001; Siyuan Zhuang; Stephanie Wang; Ang Chen 001; Ion Stoica (Proc. VLDB Endow., 2021)

Computing minimal surfaces with differential forms. - Stephanie Wang; Albert Chern (ACM Trans. Graph., 2021)

ESCHER: expressive scheduling with ephemeral resources. - Romil Bhardwaj; Alexey Tumanov; Stephanie Wang; Richard Liaw; Philipp Moritz; Robert Nishihara; Ion Stoica (SoCC, 2022)

DeepCurrents: Learning Implicit Representations of Shapes with Boundaries. - David R. Palmer 001; Dmitriy Smirnov 001; Stephanie Wang; Albert Chern; Justin Solomon 001 (CVPR, 2022)

Exoshuffle: Large-Scale Shuffle at the Application Level. - Frank Sifei Luan; Stephanie Wang; Samyukta Yagati; Sean Kim; Kenneth Lien; SangBin Cho; Eric Liang; Ion Stoica (CoRR, 2022)

Role detection in bicycle-sharing networks using multilayer stochastic block models. - Jane Carlen; Jaume de Dios Pont; Cassidy Mentus; Shyr-Shea Chang; Stephanie Wang; Mason A. Porter (Netw. Sci., 2022)

Covector fluids. - Mohammad Sina Nabizadeh; Stephanie Wang; Ravi Ramamoorthi; Albert Chern (ACM Trans. Graph., 2022)

Logical Memory Pools: Flexible and Local Disaggregated Memory. - Emmanuel Amaro; Stephanie Wang; Aurojit Panda; Marcos K. Aguilera (HotNets, 2023)

ExoFlow: A Universal Workflow System for Exactly-Once DAGs. - Siyuan Zhuang; Stephanie Wang; Eric Liang; Yi Cheng; Ion Stoica (OSDI, 2023)

Exoshuffle: An Extensible Shuffle Architecture. - Frank Sifei Luan; Stephanie Wang; Samyukta Yagati; Sean Kim; Kenneth Lien; Isaac Ong; Tony Hong; SangBin Cho; Eric Liang; Ion Stoica (SIGCOMM, 2023)

Exterior Calculus in Graphics: Course Notes for a SIGGRAPH 2023 Course. - Stephanie Wang; Mohammad Sina Nabizadeh; Albert Chern (SIGGRAPH Courses, 2023)

Exoshuffle-CloudSort. - Frank Sifei Luan; Stephanie Wang; Samyukta Yagati; Sean Kim; Kenneth Lien; Isaac Ong; Tony Hong; SangBin Cho; Eric Liang; Ion Stoica (CoRR, 2023)

Wave Simulations in Infinite Spacetime. - Chad McKell; Mohammad Sina Nabizadeh; Stephanie Wang; Albert Chern (CoRR, 2023)

Composable Core-sets for Diversity Approximation on Multi-Dataset Streams. - Stephanie Wang; Michael Flynn; Fangyu Luo (CoRR, 2023)

Towards a Distributed OS for Data-Intensive Cloud Applications - Stephanie Wang (2023)

Physical Cyclic Animations. - Shiyang Jia; Stephanie Wang; Tzu-Mao Li; Albert Chern (Proc. ACM Comput. Graph. Interact. Tech., 2023)

Fluid Cohomology. - Hang Yin; Mohammad Sina Nabizadeh; Baichuan Wu; Stephanie Wang; Albert Chern (ACM Trans. Graph., 2023)

MotherDuck: DuckDB in the cloud and in the client. - R. J. Atwal; Peter A. Boncz; Ryan Boyd; Antony Courtney; Till Döhmen; Florian Gerlinghoff; Jeff Huang 007; Joseph Hwang; Raphael Hyde; Elena Felder; Jacob Lacouture; Yves Le Maout; et al. (CIDR, 2024)

Improving Fairness in Chest X-Ray Interpretation Models Using Attention-Driven Masked Image Modeling. - Chao-Ju Chen; Stephanie Wang; Po-Chih Kuo (EMBC, 2024)

DataComp-LM: In search of the next generation of training sets for language models. - Jeffrey Li; Alex Fang; Georgios Smyrnis; Maor Ivgi; Matt Jordan; Samir Yitzhak Gadre; Hritik Bansal; Etash Kumar Guha; Sedrick Scott Keh; Kushal Arora; Saurabh Garg; Rui Xin; et al. (NeurIPS, 2024)

NanoFlow: Towards Optimal Large Language Model Serving Throughput. - Kan Zhu; Yilong Zhao; Liangyu Zhao; Gefei Zuo; Yile Gu; Dedong Xie; Yufei Gao; Qinyu Xu; Tian Tang; Zihao Ye 001; Keisuke Kamahori; Chien-Yu Lin; et al. (CoRR, 2024)

Lower Quantity, Higher Quality: Auditing News Content and User Perceptions on Twitter/X Algorithmic versus Chronological Timelines. - Stephanie Wang; Shengchun Huang; Alvin Zhou; Danaë Metaxa (Proc. ACM Hum. Comput. Interact., 2024)

AI-augmented failure modes, effects, and criticality analysis (AI-FMECA) for industrial applications. - Nicholas Grabill; Stephanie Wang; Hammed A. Olayinka; Tharindu P. De Alwis; Yehia F. Khalil; Jian Zou (Reliab. Eng. Syst. Saf., 2024)

Towards ML System Extensibility. - Weixin Deng; Andy Ruan; Megan Frisella; Kai-Hsun Chen; SangBin Cho; Jack Tigar Humphries; Rui Qiao; Stephanie Wang (HotOS, 2025)

NanoFlow: Towards Optimal Large Language Model Serving Throughput. - Kan Zhu; Yufei Gao; Yilong Zhao; Liangyu Zhao; Gefei Zuo; Yile Gu; Dedong Xie; Zihao Ye 001; Keisuke Kamahori; Chien-Yu Lin; Ziren Wang; Stephanie Wang; et al. (OSDI, 2025)

Implicit UVs: Real-time semi-global parameterization of implicit surfaces. - Baptiste Genest; Pierre Gueth; Jérémy Levallois; Stephanie Wang (Comput. Graph. Forum, 2025)

FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving. - Zihao Ye 001; Lequn Chen 001; Ruihang Lai; Wuwei Lin; Yineng Zhang; Stephanie Wang; Tianqi Chen 001; Baris Kasikci; Vinod Grover; Arvind Krishnamurthy; Luis Ceze (CoRR, 2025)

The Streaming Batch Model for Efficient and Fault-Tolerant Heterogeneous Execution. - Frank Sifei Luan; Ziming Mao; Ron Yifeng Wang; Charlotte Lin; Amog Kamsetty; Hao Chen; Cheng Su; Balaji Veeramani; Scott Lee; SangBin Cho; Clark Zinzow; Eric Liang; et al. (CoRR, 2025)

TeleRAG: Efficient Retrieval-Augmented Generation Inference with Lookahead Retrieval. - Chien-Yu Lin; Keisuke Kamahori; Yiyu Liu; Xiaoxiang Shi; Madhav Mahesh Kashyap; Yile Gu; Rulin Shao; Zihao Ye 001; Kan Zhu; Stephanie Wang; Arvind Krishnamurthy; Rohan Kadekodi; et al. (CoRR, 2025)