Stephanie Wang

63 papers A* 11A 6Misc 4Journal 31Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
VoxServe: Streaming-Centric Serving System for Speech Language Models.
CoRR
Keisuke Kamahori, Wei-Tzu Lee, Atindra Jha, Rohan Kadekodi, Stephanie Wang, Arvind Krishnamurthy, Baris Kasikci
2025 — conf
FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving.
MLSys
Zihao Ye, Lequn Chen, Ruihang Lai, Wuwei Lin, Yineng Zhang, Stephanie Wang, Tianqi Chen, Baris Kasikci, Vinod Grover, Arvind Krishnamurthy, Luis Ceze
2025 J jnl
FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving.
CoRR
Zihao Ye, Lequn Chen, Ruihang Lai, Wuwei Lin, Yineng Zhang, Stephanie Wang, Tianqi Chen, Baris Kasikci, Vinod Grover, Arvind Krishnamurthy, Luis Ceze
2025 J jnl
Implicit UVs: Real-time semi-global parameterization of implicit surfaces.
Comput. Graph. Forum
Baptiste Genest, Pierre Gueth, Jérémy Levallois, Stephanie Wang
2025 A* conf
NanoFlow: Towards Optimal Large Language Model Serving Throughput.
OSDI
Kan Zhu, Yufei Gao, Yilong Zhao, Liangyu Zhao, Gefei Zuo, Yile Gu, Dedong Xie, Zihao Ye, Keisuke Kamahori, Chien-Yu Lin, Ziren Wang, Stephanie Wang, Arvind Krishnamurthy, Baris Kasikci
2025 — conf
Piper: Towards Flexible Pipeline Parallelism for PyTorch.
PACMI@SOSP
Megan Frisella, Arvin Oentoro, Xiangyu Gao, Gilbert Bernstein, Stephanie Wang
2025 Misc conf
Programmable and Adaptive Scheduling for Distributed Systems.
HotNets
Yuyao Wang, Xiangfeng Zhu, Ratul Mahajan, Stephanie Wang
2025 J jnl
TeleRAG: Efficient Retrieval-Augmented Generation Inference with Lookahead Retrieval.
CoRR
Chien-Yu Lin, Keisuke Kamahori, Yiyu Liu, Xiaoxiang Shi, Madhav Mahesh Kashyap, Yile Gu, Rulin Shao, Zihao Ye, Kan Zhu, Stephanie Wang, Arvind Krishnamurthy, Rohan Kadekodi, Luis Ceze, Baris Kasikci
2025 J jnl
The Streaming Batch Model for Efficient and Fault-Tolerant Heterogeneous Execution.
CoRR
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, Ion Stoica, Stephanie Wang
2025 A conf
Towards ML System Extensibility.
HotOS
Weixin Deng, Andy Ruan, Megan Frisella, Kai-Hsun Chen, SangBin Cho, Jack Tigar Humphries, Rui Qiao, Stephanie Wang
2025 A* conf
Variational Neural Surfacing of 3D Sketches.
SIGGRAPH Asia
Yutao Zhang, Stephanie Wang, Mikhail Bessmeltsev
2024 J jnl
AI-augmented failure modes, effects, and criticality analysis (AI-FMECA) for industrial applications.
Reliab. Eng. Syst. Saf.
Nicholas Grabill, Stephanie Wang, Hammed A. Olayinka, Tharindu P. De Alwis, Yehia F. Khalil, Jian Zou
2024 A* conf
DataComp-LM: In search of the next generation of training sets for language models.
NeurIPS
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, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee F. Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah M. Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Raghavi Chandu, Thao Nguyen, Igor Vasiljevic, Sham M. Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alex Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar
2024 J jnl
DataComp-LM: In search of the next generation of training sets for language models.
CoRR
Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Kumar Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee F. Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah M. Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Raghavi Chandu, Thao Nguyen, Igor Vasiljevic, Sham M. Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alexandros G. Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar
2024 — conf
Improving Fairness in Chest X-Ray Interpretation Models Using Attention-Driven Masked Image Modeling.
EMBC
Chao-Ju Chen, Stephanie Wang, Po-Chih Kuo
2024 J jnl
Lower Quantity, Higher Quality: Auditing News Content and User Perceptions on Twitter/X Algorithmic versus Chronological Timelines.
CoRR
Stephanie Wang, Shengchun Huang, Alvin Zhou, Danaë Metaxa
2024 J jnl
Lower Quantity, Higher Quality: Auditing News Content and User Perceptions on Twitter/X Algorithmic versus Chronological Timelines.
Proc. ACM Hum. Comput. Interact.
Stephanie Wang, Shengchun Huang, Alvin Zhou, Danaë Metaxa
2024 A conf
MotherDuck: DuckDB in the cloud and in the client.
CIDR
R. J. Atwal, Peter Boncz, Ryan Boyd, Antony Courtney, Till Döhmen, Florian Gerlinghoff, Jeff Huang, Joseph Hwang, Raphael Hyde, Elena Felder, Jacob Lacouture, Yves Le Maout, Boaz Leskes, Yao Liu, Alex Monahan, Dan Perkins, Tino Tereshko, Jordan Tigani, Nick Ursa, Stephanie Wang, Yannick Welsch
2024 J jnl
NanoFlow: Towards Optimal Large Language Model Serving Throughput.
CoRR
Kan Zhu, Yilong Zhao, Liangyu Zhao, Gefei Zuo, Yile Gu, Dedong Xie, Yufei Gao, Qinyu Xu, Tian Tang, Zihao Ye, Keisuke Kamahori, Chien-Yu Lin, Stephanie Wang, Arvind Krishnamurthy, Baris Kasikci
2023 J jnl
Composable Core-sets for Diversity Approximation on Multi-Dataset Streams.
CoRR
Stephanie Wang, Michael Flynn, Fangyu Luo
2023 A* conf
ExoFlow: A Universal Workflow System for Exactly-Once DAGs.
OSDI
Siyuan Zhuang, Stephanie Wang, Eric Liang, Yi Cheng, Ion Stoica
2023 J jnl
Exoshuffle-CloudSort.
CoRR
Frank Sifei Luan, Stephanie Wang, Samyukta Yagati, Sean Kim, Kenneth Lien, Isaac Ong, Tony Hong, SangBin Cho, Eric Liang, Ion Stoica
2023 A* conf
Exoshuffle: An Extensible Shuffle Architecture.
SIGCOMM
Frank Sifei Luan, Stephanie Wang, Samyukta Yagati, Sean Kim, Kenneth Lien, Isaac Ong, Tony Hong, SangBin Cho, Eric Liang, Ion Stoica
2023 — conf
Exterior Calculus in Graphics: Course Notes for a SIGGRAPH 2023 Course.
SIGGRAPH Courses
Stephanie Wang, Mohammad Sina Nabizadeh, Albert Chern
2023 J jnl
Fluid Cohomology.
ACM Trans. Graph.
Hang Yin, Mohammad Sina Nabizadeh, Baichuan Wu, Stephanie Wang, Albert Chern
2023 Misc conf
Logical Memory Pools: Flexible and Local Disaggregated Memory.
HotNets
Emmanuel Amaro, Stephanie Wang, Aurojit Panda, Marcos K. Aguilera
2023 J jnl
Physical Cyclic Animations.
Proc. ACM Comput. Graph. Interact. Tech.
Shiyang Jia, Stephanie Wang, Tzu-Mao Li, Albert Chern
2023 — —
Towards a Distributed OS for Data-Intensive Cloud Applications
Stephanie Wang
2023 J jnl
Wave Simulations in Infinite Spacetime.
CoRR
Chad McKell, Mohammad Sina Nabizadeh, Stephanie Wang, Albert Chern
2022 J jnl
Covector fluids.
ACM Trans. Graph.
Mohammad Sina Nabizadeh, Stephanie Wang, Ravi Ramamoorthi, Albert Chern
2022 A* conf
DeepCurrents: Learning Implicit Representations of Shapes with Boundaries.
CVPR
David R. Palmer, Dmitriy Smirnov, Stephanie Wang, Albert Chern, Justin Solomon
2022 — conf
ESCHER: expressive scheduling with ephemeral resources.
SoCC
Romil Bhardwaj, Alexey Tumanov, Stephanie Wang, Richard Liaw, Philipp Moritz, Robert Nishihara, Ion Stoica
2022 J jnl
Exoshuffle: Large-Scale Shuffle at the Application Level.
CoRR
Frank Sifei Luan, Stephanie Wang, Samyukta Yagati, Sean Kim, Kenneth Lien, SangBin Cho, Eric Liang, Ion Stoica
2022 J jnl
Role detection in bicycle-sharing networks using multilayer stochastic block models.
Netw. Sci.
Jane Carlen, Jaume de Dios Pont, Cassidy Mentus, Shyr-Shea Chang, Stephanie Wang, Mason A. Porter
2021 J jnl
Computing minimal surfaces with differential forms.
ACM Trans. Graph.
Stephanie Wang, Albert Chern
2021 J jnl
DeepCurrents: Learning Implicit Representations of Shapes with Boundaries.
CoRR
David R. Palmer, Dmitriy Smirnov, Stephanie Wang, Albert Chern, Justin M. Solomon
2021 A conf
Everything is a Transaction: Unifying Logical Concurrency Control and Physical Data Structure Maintenance in Database Management Systems.
CIDR
Ling Zhang, Matthew Butrovich, Tianyu Li, Andrew Pavlo, Yash Nannapaneni, John Rollinson, Huanchen Zhang, Ambarish Balakumar, Daniel Biales, Ziqi Dong, Emmanuel J. Eppinger, Jordi E. Gonzalez, Wan Shen Lim, Jianqiao Liu, Lin Ma, Prashanth Menon, Soumil Mukherjee, Tanuj Nayak, Amadou Ngom, Dong Niu, Deepayan Patra, Poojita Raj, Stephanie Wang, Wuwen Wang, Yao Yu, William Zhang
2021 A* conf
Hoplite: efficient and fault-tolerant collective communication for task-based distributed systems.
SIGCOMM
Siyuan Zhuang, Zhuohan Li, Danyang Zhuo, Stephanie Wang, Eric Liang, Robert Nishihara, Philipp Moritz, Ion Stoica
2021 A conf
In reference to RPC: it's time to add distributed memory.
HotOS
Stephanie Wang, Benjamin Hindman, Ion Stoica
2021 Misc conf
Ownership: A Distributed Futures System for Fine-Grained Tasks.
NSDI
Stephanie Wang, Eric Liang, Edward Oakes, Benjamin Hindman, Frank Sifei Luan, Audrey Cheng, Ion Stoica
2021 J jnl
Rearchitecting In-Memory Object Stores for Low Latency.
Proc. VLDB Endow.
Danyang Zhuo, Kaiyuan Zhang, Zhuohan Li, Siyuan Zhuang, Stephanie Wang, Ang Chen, Ion Stoica
2020 — —
A Material Point Method for Elastoplasticity with Ductile Fracture and Frictional Contact.
Stephanie Wang
2020 — conf
A Novel Public Health Intervention Strategy for the Control of Infectious Disease Outbreaks Among Dynamic Metapopulation Networks.
ICBSP
Stephanie Wang
2020 J jnl
Hoplite: Efficient Collective Communication for Task-Based Distributed Systems.
CoRR
Siyuan Zhuang, Zhuohan Li, Danyang Zhuo, Stephanie Wang, Eric Liang, Robert Nishihara, Philipp Moritz, Ion Stoica
2020 A conf
Practical Volume-Based Attacks on Encrypted Databases.
EuroS&P
Rishabh Poddar, Stephanie Wang, Jianan Lu, Raluca Ada Popa
2020 J jnl
Practical Volume-Based Attacks on Encrypted Databases.
CoRR
Rishabh Poddar, Stephanie Wang, Jianan Lu, Raluca Ada Popa
2019 J jnl
A Hybrid Material Point Method for Frictional Contact with Diverse Materials.
Proc. ACM Comput. Graph. Interact. Tech.
Xuchen Han, Theodore F. Gast, Qi Guo, Stephanie Wang, Chenfanfu Jiang, Joseph Teran
2019 J jnl
A thermomechanical material point method for baking and cooking.
ACM Trans. Graph.
Mengyuan Ding, Xuchen Han, Stephanie Wang, Theodore F. Gast, Joseph M. Teran
2019 A* conf
Lineage stash: fault tolerance off the critical path.
SOSP
Stephanie Wang, John Liagouris, Robert Nishihara, Philipp Moritz, Ujval Misra, Alexey Tumanov, Ion Stoica
2019 J jnl
Practical Volume-Based Attacks on Encrypted Databases.
IACR Cryptol. ePrint Arch.
Stephanie Wang, Rishabh Poddar, Jianan Lu, Raluca Ada Popa
2019 J jnl
Role Detection in Bicycle-Sharing Networks Using Multilayer Stochastic Block Models.
CoRR
Jane Carlen, Jaume de Dios Pont, Cassidy Mentus, Shyr-Shea Chang, Stephanie Wang, Mason A. Porter
2019 J jnl
Simulation and Visualization of Ductile Fracture with the Material Point Method.
Proc. ACM Comput. Graph. Interact. Tech.
Stephanie Wang, Mengyuan Ding, Theodore F. Gast, Leyi Zhu, Steven Gagniere, Chenfanfu Jiang, Joseph M. Teran
2018 — conf
Exploring the Utility of Developer Exhaust.
DEEM@SIGMOD
Jian Zhang, Max Lam, Stephanie Wang, Paroma Varma, Luigi Nardi, Kunle Olukotun, Christopher Ré
2018 Misc conf
Garment-based EMG system for intra-spacesuit biomechanics analysis.
UbiComp
J. Walter Lee, Stephanie Wang, Caroline Albers, Lucy E. Dunne
2018 A* conf
Learning to Play With Intrinsically-Motivated, Self-Aware Agents.
NeurIPS
Nick Haber, Damian Mrowca, Stephanie Wang, Li Fei-Fei, Daniel L. K. Yamins
2018 A* conf
Ray: A Distributed Framework for Emerging AI Applications.
OSDI
Philipp Moritz, Robert Nishihara, Stephanie Wang, Alexey Tumanov, Richard Liaw, Eric Liang, Melih Elibol, Zongheng Yang, William Paul, Michael I. Jordan, Ion Stoica
2018 — conf
Training Classifiers with Natural Language Explanations.
ACL (1)
Braden Hancock, Paroma Varma, Stephanie Wang, Martin Bringmann, Percy Liang, Christopher Ré
2018 J jnl
Training Classifiers with Natural Language Explanations.
CoRR
Braden Hancock, Paroma Varma, Stephanie Wang, Martin Bringmann, Percy Liang, Christopher Ré
2017 J jnl
Ray: A Distributed Framework for Emerging AI Applications.
CoRR
Philipp Moritz, Robert Nishihara, Stephanie Wang, Alexey Tumanov, Richard Liaw, Eric Liang, William Paul, Michael I. Jordan, Ion Stoica
2017 A conf
Real-Time Machine Learning: The Missing Pieces.
HotOS
Robert Nishihara, Philipp Moritz, Stephanie Wang, Alexey Tumanov, William Paul, Johann Schleier-Smith, Richard Liaw, Mehrdad Niknami, Michael I. Jordan, Ion Stoica
2017 J jnl
Real-Time Machine Learning: The Missing Pieces.
CoRR
Robert Nishihara, Philipp Moritz, Stephanie Wang, Alexey Tumanov, William Paul, Johann Schleier-Smith, Richard Liaw, Mehrdad Niknami, Michael I. Jordan, Ion Stoica
2017 A* conf
Verifying a high-performance crash-safe file system using a tree specification.
SOSP
Haogang Chen, Tej Chajed, Alex Konradi, Stephanie Wang, Atalay Mert Ileri, Adam Chlipala, M. Frans Kaashoek, Nickolai Zeldovich
2010 — conf
The power of foregone payoffs: a mousetracking study.
BQGT
Taisuke Imai, Alec Smith, Stephanie Wang, Colin F. Camerer