Ion Stoica

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 285

Top Venues

Publications

Lingjiao Chen, Jared Quincy Davis, Boris Hanin, Peter Bailis, Ion Stoica, Matei Zaharia, James Zou
Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems. CoRR (2024)
Suppakit Waiwitlikhit, Ion Stoica, Yi Sun, Tatsunori Hashimoto, Daniel Kang
Trustless Audits without Revealing Data or Models. CoRR (2024)
Ying Sheng, Shiyi Cao, Dacheng Li, Banghua Zhu, Zhuohan Li, Danyang Zhuo, Joseph E. Gonzalez, Ion Stoica
Fairness in Serving Large Language Models. OSDI (2024)
Michael Luo, Siyuan Zhuang, Suryaprakash Vengadesan, Romil Bhardwaj, Justin Chang, Eric J. Friedman, Scott Shenker, Ion Stoica
Starburst: A Cost-aware Scheduler for Hybrid Cloud. USENIX ATC (2024)
Shu Liu, Asim Biswal, Audrey Cheng, Xiangxi Mo, Shiyi Cao, Joseph E. Gonzalez, Ion Stoica, Matei Zaharia
Optimizing LLM Queries in Relational Workloads. CoRR (2024)
Naman Jain, King Han, Alex Gu, Wen-Ding Li, Fanjia Yan, Tianjun Zhang, Sida Wang, Armando Solar-Lezama, Koushik Sen, Ion Stoica
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code. CoRR (2024)
Zhanghao Wu, Wei-Lin Chiang, Ziming Mao, Zongheng Yang, Eric J. Friedman, Scott Shenker, Ion Stoica
Can't Be Late: Optimizing Spot Instance Savings under Deadlines. NSDI (2024)
Tyler Griggs, Xiaoxuan Liu, Jiaxiang Yu, Doyoung Kim, Wei-Lin Chiang, Alvin Cheung, Ion Stoica
M\'elange: Cost Efficient Large Language Model Serving by Exploiting GPU Heterogeneity. CoRR (2024)
Fangyu Wu, Guanhua Wang, Siyuan Zhuang, Kehan Wang, Alexander Keimer, Ion Stoica, Alexandre M. Bayen
Composing MPC With LQR and Neural Network for Amortized Efficiency and Stable Control. IEEE Trans Autom. Sci. Eng. 21 (2) (2024)
Xiaoxuan Liu, Cade Daniel, Langxiang Hu, Woosuk Kwon, Zhuohan Li, Xiangxi Mo, Alvin Cheung, Zhijie Deng, Ion Stoica, Hao Zhang
Optimizing Speculative Decoding for Serving Large Language Models Using Goodput. CoRR (2024)
Yichao Fu, Peter Bailis, Ion Stoica, Hao Zhang
Break the Sequential Dependency of LLM Inference Using Lookahead Decoding. CoRR (2024)
Justin Cui, Wei-Lin Chiang, Ion Stoica, Cho-Jui Hsieh
OR-Bench: An Over-Refusal Benchmark for Large Language Models. CoRR (2024)
Ying Sheng, Shiyi Cao, Dacheng Li, Banghua Zhu, Zhuohan Li, Danyang Zhuo, Joseph E. Gonzalez, Ion Stoica
Fairness in Serving Large Language Models. CoRR (2024)
Isaac Ong, Amjad Almahairi, Vincent Wu, Wei-Lin Chiang, Tianhao Wu, Joseph E. Gonzalez, M. Waleed Kadous, Ion Stoica
RouteLLM: Learning to Route LLMs with Preference Data. CoRR (2024)
Wei-Lin Chiang, Lianmin Zheng, Ying Sheng, Anastasios Nikolas Angelopoulos, Tianle Li, Dacheng Li, Hao Zhang, Banghua Zhu, Michael I. Jordan, Joseph E. Gonzalez, Ion Stoica
Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference. CoRR (2024)
Michael Luo, Justin Wong, Brandon Trabucco, Yanping Huang, Joseph E. Gonzalez, Zhifeng Chen, Ruslan Salakhutdinov, Ion Stoica
Stylus: Automatic Adapter Selection for Diffusion Models. CoRR (2024)
Daniel Kang, Xuechen Li, Ion Stoica, Carlos Guestrin, Matei Zaharia, Tatsunori Hashimoto
Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks. SP (Workshops) (2024)
Vinamra Benara, Chandan Singh, John X. Morris, Richard Antonello, Ion Stoica, Alexander G. Huth, Jianfeng Gao
Crafting Interpretable Embeddings by Asking LLMs Questions. CoRR (2024)
Sarah Wooders, Shu Liu, Paras Jain, Xiangxi Mo, Joseph E. Gonzalez, Vincent Liu, Ion Stoica
Cloudcast: High-Throughput, Cost-Aware Overlay Multicast in the Cloud. NSDI (2024)
Bing-Jyue Chen, Suppakit Waiwitlikhit, Ion Stoica, Daniel Kang
ZKML: An Optimizing System for ML Inference in Zero-Knowledge Proofs. EuroSys (2024)
Jiangfei Duan, Runyu Lu, Haojie Duanmu, Xiuhong Li, Xingcheng Zhang, Dahua Lin, Ion Stoica, Hao Zhang
MuxServe: Flexible Multiplexing for Efficient Multiple LLM Serving. CoRR (2024)
Tianle Li, Wei-Lin Chiang, Evan Frick, Lisa Dunlap, Tianhao Wu, Banghua Zhu, Joseph E. Gonzalez, Ion Stoica
From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline. CoRR (2024)
Naman Jain, Tianjun Zhang, Wei-Lin Chiang, Joseph E. Gonzalez, Koushik Sen, Ion Stoica
LLM-Assisted Code Cleaning For Training Accurate Code Generators. ICLR (2024)
Shishir G. Patil, Tianjun Zhang, Vivian Fang, Noppapon C., Roy Huang, Aaron Hao, Martin Casado, Joseph E. Gonzalez, Raluca Ada Popa, Ion Stoica
GoEX: Perspectives and Designs Towards a Runtime for Autonomous LLM Applications. CoRR (2024)
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Tianle Li, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zhuohan Li, Zi Lin, Eric P. Xing, Joseph E. Gonzalez, Ion Stoica, Hao Zhang
LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset. ICLR (2024)
Jared Quincy Davis, Boris Hanin, Lingjiao Chen, Peter Bailis, Ion Stoica, Matei Zaharia
Networks of Networks: Complexity Class Principles Applied to Compound AI Systems Design. CoRR (2024)
Ying Sheng, Shiyi Cao, Dacheng Li, Coleman Hooper, Nicholas Lee, Shuo Yang, Christopher Chou, Banghua Zhu, Lianmin Zheng, Kurt Keutzer, Joseph Gonzalez, Ion Stoica
SLoRA: Scalable Serving of Thousands of LoRA Adapters. MLSys (2024)
Tianjun Zhang, Shishir G. Patil, Naman Jain, Sheng Shen, Matei Zaharia, Ion Stoica, Joseph E. Gonzalez
RAFT: Adapting Language Model to Domain Specific RAG. CoRR (2024)
Kaichao You, Runsheng Bai, Meng Cao, Jianmin Wang, Ion Stoica, Mingsheng Long
depyf: Open the Opaque Box of PyTorch Compiler for Machine Learning Researchers. CoRR (2024)
Siyuan Zhuang, Stephanie Wang, Eric Liang, Yi Cheng, Ion Stoica
ExoFlow: A Universal Workflow System for Exactly-Once DAGs. OSDI (2023)
Xiaoxuan Liu, Lanxiang Hu, Peter Bailis, Ion Stoica, Zhijie Deng, Alvin Cheung, Hao Zhang
Online Speculative Decoding. CoRR (2023)
Ying Sheng, Lianmin Zheng, Binhang Yuan, Zhuohan Li, Max Ryabinin, Daniel Y. Fu, Zhiqiang Xie, Beidi Chen, Clark W. Barrett, Joseph E. Gonzalez, Percy Liang, Christopher Ré, Ion Stoica, Ce Zhang
High-throughput Generative Inference of Large Language Models with a Single GPU. CoRR (2023)
Zhuohan Li, Lianmin Zheng, Yinmin Zhong, Vincent Liu, Ying Sheng, Xin Jin, Yanping Huang, Zhifeng Chen, Hao Zhang, Joseph E. Gonzalez, Ion Stoica
AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving. OSDI (2023)
Jeffrey Ichnowski, Kaiyuan Chen, Karthik Dharmarajan, Simeon Adebola, Michael Danielczuk, Victor Mayoral Vilches, Nikhil Jha, Hugo Zhan, Edith LLontop, Derek Xu, Camilo Buscaron, John Kubiatowicz, Ion Stoica, Joseph Gonzalez, Ken Goldberg
FogROS2: An Adaptive Platform for Cloud and Fog Robotics Using ROS 2. ICRA (2023)
Manish Shetty, Koushik Sen, Ion Stoica
CodeScholar: Growing Idiomatic Code Examples. CoRR (2023)
Kirthevasan Kandasamy, Joseph E. Gonzalez, Michael I. Jordan, Ion Stoica
VCG Mechanism Design with Unknown Agent Values under Stochastic Bandit Feedback. J. Mach. Learn. Res. 24 (2023)
Shuo Yang, Wei-Lin Chiang, Lianmin Zheng, Joseph E. Gonzalez, Ion Stoica
Rethinking Benchmark and Contamination for Language Models with Rephrased Samples. CoRR (2023)
Naman Jain, Tianjun Zhang, Wei-Lin Chiang, Joseph E. Gonzalez, Koushik Sen, Ion Stoica
LLM-Assisted Code Cleaning For Training Accurate Code Generators. CoRR (2023)
Zhuohan Li, Lianmin Zheng, Yinmin Zhong, Vincent Liu, Ying Sheng, Xin Jin, Yanping Huang, Zhifeng Chen, Hao Zhang, Joseph E. Gonzalez, Ion Stoica
AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving. CoRR (2023)
Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph Gonzalez, Hao Zhang, Ion Stoica
Efficient Memory Management for Large Language Model Serving with PagedAttention. SOSP (2023)
Peter Schafhalter, Sukrit Kalra, Le Xu, Joseph E. Gonzalez, Ion Stoica
Leveraging Cloud Computing to Make Autonomous Vehicles Safer. CoRR (2023)
Frank Sifei Luan, Stephanie Wang, Samyukta Yagati, Sean Kim, Kenneth Lien, Isaac Ong, Tony Hong, SangBin Cho, Eric Liang, Ion Stoica
Exoshuffle: An Extensible Shuffle Architecture. SIGCOMM (2023)
Audrey Cheng, David Chu, Terrance Li, Jason Chan, Natacha Crooks, Joseph M. Hellerstein, Ion Stoica, Xiangyao Yu
Take Out the TraChe: Maximizing (Tra)nsactional Ca(che) Hit Rate. OSDI (2023)
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Tianle Li, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zhuohan Li, Zi Lin, Eric P. Xing, Joseph E. Gonzalez, Ion Stoica, Hao Zhang
LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset. CoRR (2023)
Ying Sheng, Lianmin Zheng, Binhang Yuan, Zhuohan Li, Max Ryabinin, Beidi Chen, Percy Liang, Christopher Ré, Ion Stoica, Ce Zhang
FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU. ICML (2023)
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric P. Xing, Hao Zhang, Joseph E. Gonzalez, Ion Stoica
Judging LLM-as-a-judge with MT-Bench and Chatbot Arena. CoRR (2023)
Zongheng Yang, Zhanghao Wu, Michael Luo, Wei-Lin Chiang, Romil Bhardwaj, Woosuk Kwon, Siyuan Zhuang, Frank Sifei Luan, Gautam Mittal, Scott Shenker, Ion Stoica
SkyPilot: An Intercloud Broker for Sky Computing. NSDI (2023)
Dacheng Li, Rulin Shao, Anze Xie, Eric P. Xing, Joseph E. Gonzalez, Ion Stoica, Xuezhe Ma, Hao Zhang
LightSeq: Sequence Level Parallelism for Distributed Training of Long Context Transformers. CoRR (2023)
Romil Bhardwaj, Kirthevasan Kandasamy, Asim Biswal, Wenshuo Guo, Benjamin Hindman, Joseph Gonzalez, Michael I. Jordan, Ion Stoica
Cilantro: Performance-Aware Resource Allocation for General Objectives via Online Feedback. OSDI (2023)
Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph E. Gonzalez, Hao Zhang, Ion Stoica
Efficient Memory Management for Large Language Model Serving with PagedAttention. CoRR (2023)
Alind Khare, Dhruv Garg, Sukrit Kalra, Snigdha Grandhi, Ion Stoica, Alexey Tumanov
SuperServe: Fine-Grained Inference Serving for Unpredictable Workloads. CoRR (2023)
Henry Milner, Yihua Cheng, Jibin Zhan, Hui Zhang, Vyas Sekar, Junchen Jiang, Ion Stoica
Raising the Level of Abstraction for Time-State Analytics With the Timeline Framework. CIDR (2023)
Paras Jain, Peter Kraft, Conor Power, Tathagata Das, Ion Stoica, Matei Zaharia
Analyzing and Comparing Lakehouse Storage Systems. CIDR (2023)
Paras Jain, Sam Kumar, Sarah Wooders, Shishir G. Patil, Joseph E. Gonzalez, Ion Stoica
Skyplane: Optimizing Transfer Cost and Throughput Using Cloud-Aware Overlays. NSDI (2023)
Lianmin Zheng, Liangsheng Yin, Zhiqiang Xie, Jeff Huang, Chuyue Sun, Cody Hao Yu, Shiyi Cao, Christos Kozyrakis, Ion Stoica, Joseph E. Gonzalez, Clark W. Barrett, Ying Sheng
Efficiently Programming Large Language Models using SGLang. CoRR (2023)
Peter Schafhalter, Sukrit Kalra, Le Xu, Joseph E. Gonzalez, Ion Stoica
Leveraging Cloud Computing to Make Autonomous Vehicles Safer. IROS (2023)
Abdus Salam Azad, Izzeddin Gur, Jasper Emhoff, Nathaniel Alexis, Aleksandra Faust, Pieter Abbeel, Ion Stoica
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning. ICML (2023)
Frank Sifei Luan, Stephanie Wang, Samyukta Yagati, Sean Kim, Kenneth Lien, Isaac Ong, Tony Hong, SangBin Cho, Eric Liang, Ion Stoica
Exoshuffle-CloudSort. CoRR (2023)
Ying Sheng, Shiyi Cao, Dacheng Li, Coleman Hooper, Nicholas Lee, Shuo Yang, Christopher Chou, Banghua Zhu, Lianmin Zheng, Kurt Keutzer, Joseph E. Gonzalez, Ion Stoica
S-LoRA: Serving Thousands of Concurrent LoRA Adapters. CoRR (2023)
Yonghao Zhuang, Lianmin Zheng, Zhuohan Li, Eric P. Xing, Qirong Ho, Joseph Gonzalez, Ion Stoica, Hao Zhang, Hexu Zhao
On Optimizing the Communication of Model Parallelism. MLSys (2023)
Sarah Wooders, Xiangxi Mo, Amit Narang, Kevin Lin, Ion Stoica, Joseph M. Hellerstein, Natacha Crooks, Joseph E. Gonzalez
RALF: Accuracy-Aware Scheduling for Feature Store Maintenance. Proc. VLDB Endow. 17 (3) (2023)
Hong Zhang, Yupeng Tang, Anurag Khandelwal, Ion Stoica
SHEPHERD: Serving DNNs in the Wild. NSDI (2023)
Audrey Cheng, Jack Waudby, Hugo Firth, Natacha Crooks, Ion Stoica
Mammoths Are Slow: The Overlooked Transactions of Graph Data. Proc. VLDB Endow. 17 (4) (2023)
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric P. Xing, Hao Zhang, Joseph E. Gonzalez, Ion Stoica
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena. NeurIPS (2023)
Daniel Kang, Xuechen Li, Ion Stoica, Carlos Guestrin, Matei Zaharia, Tatsunori Hashimoto
Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks. CoRR (2023)
Sarah Chasins, Alvin Cheung, Natacha Crooks, Ali Ghodsi, Ken Goldberg, Joseph E. Gonzalez, Joseph M. Hellerstein, Michael I. Jordan, Anthony D. Joseph, Michael W. Mahoney, Aditya G. Parameswaran, David A. Patterson, Raluca Ada Popa, Koushik Sen, Scott Shenker, Dawn Song, Ion Stoica
The Sky Above The Clouds. CoRR (2022)
Lianmin Zheng, Zhuohan Li, Hao Zhang, Yonghao Zhuang, Zhifeng Chen, Yanping Huang, Yida Wang, Yuanzhong Xu, Danyang Zhuo, Joseph E. Gonzalez, Ion Stoica
Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning. CoRR (2022)
Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Nikolaos Karianakis, Kevin Hsieh, Paramvir Bahl, Ion Stoica
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers. NSDI (2022)
Abdus Salam Azad, Edward Kim, Qiancheng Wu, Kimin Lee, Ion Stoica, Pieter Abbeel, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia
Programmatic Modeling and Generation of Real-Time Strategic Soccer Environments for Reinforcement Learning. AAAI (2022)
Jingrong Chen, Hong Zhang, Wei Zhang, Liang Luo, Jeffrey S. Chase, Ion Stoica, Danyang Zhuo
NetHint: White-Box Networking for Multi-Tenant Data Centers. NSDI (2022)
Yonghao Zhuang, Hexu Zhao, Lianmin Zheng, Zhuohan Li, Eric P. Xing, Qirong Ho, Joseph E. Gonzalez, Ion Stoica, Hao Zhang
On Optimizing the Communication of Model Parallelism. CoRR (2022)
Shishir G. Patil, Paras Jain, Prabal Dutta, Ion Stoica, Joseph Gonzalez
POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging. ICML (2022)
Wenshuo Guo, Kirthevasan Kandasamy, Joseph Gonzalez, Michael I. Jordan, Ion Stoica
Learning Competitive Equilibria in Exchange Economies with Bandit Feedback. AISTATS (2022)
Daniel Kang, Tatsunori Hashimoto, Ion Stoica, Yi Sun
ZK-IMG: Attested Images via Zero-Knowledge Proofs to Fight Disinformation. CoRR (2022)
Zongheng Yang, Wei-Lin Chiang, Sifei Luan, Gautam Mittal, Michael Luo, Ion Stoica
Balsa: Learning a Query Optimizer Without Expert Demonstrations. SIGMOD Conference (2022)
Jeffrey Ichnowski, Kaiyuan Chen, Karthik Dharmarajan, Simeon Adebola, Michael Danielczuk, Victor Mayoral Vilches, Hugo Zhan, Derek Xu, Ramtin Ghassemi, John Kubiatowicz, Ion Stoica, Joseph Gonzales, Ken Goldberg
FogROS 2: An Adaptive and Extensible Platform for Cloud and Fog Robotics Using ROS 2. CoRR (2022)
Gur-Eyal Sela, Ionel Gog, Justin Wong, Kumar Krishna Agrawal, Xiangxi Mo, Sukrit Kalra, Peter Schafhalter, Eric Leong, Xin Wang, Bharathan Balaji, Joseph Gonzalez, Ion Stoica
Context-Aware Streaming Perception in Dynamic Environments. CoRR (2022)
Gur-Eyal Sela, Ionel Gog, Justin Wong, Kumar Krishna Agrawal, Xiangxi Mo, Sukrit Kalra, Peter Schafhalter, Eric Leong, Xin Wang, Bharathan Balaji, Joseph Gonzalez, Ion Stoica
Context-Aware Streaming Perception in Dynamic Environments. ECCV (38) (2022)
Zongheng Yang, Wei-Lin Chiang, Sifei Luan, Gautam Mittal, Michael Luo, Ion Stoica
Balsa: Learning a Query Optimizer Without Expert Demonstrations. CoRR (2022)
Shishir G. Patil, Paras Jain, Prabal Dutta, Ion Stoica, Joseph E. Gonzalez
POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging. CoRR (2022)
Zhanghao Wu, Paras Jain, Matthew A. Wright, Azalia Mirhoseini, Joseph E. Gonzalez, Ion Stoica
Representing Long-Range Context for Graph Neural Networks with Global Attention. CoRR (2022)
Daniel Kang, Tatsunori Hashimoto, Ion Stoica, Yi Sun
Scaling up Trustless DNN Inference with Zero-Knowledge Proofs. CoRR (2022)
Paras Jain, Sam Kumar, Sarah Wooders, Shishir G. Patil, Joseph E. Gonzalez, Ion Stoica
Skyplane: Optimizing Transfer Cost and Throughput Using Cloud-Aware Overlays. CoRR (2022)
Lianmin Zheng, Zhuohan Li, Hao Zhang, Yonghao Zhuang, Zhifeng Chen, Yanping Huang, Yida Wang, Yuanzhong Xu, Danyang Zhuo, Eric P. Xing, Joseph E. Gonzalez, Ion Stoica
Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning. OSDI (2022)
Emma Dauterman, Mayank Rathee, Raluca Ada Popa, Ion Stoica
Waldo: A Private Time-Series Database from Function Secret Sharing. IEEE Symposium on Security and Privacy (2022)
Abdus Salam Azad, Izzeddin Gur, Aleksandra Faust, Pieter Abbeel, Ion Stoica
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning. CoRR (2022)
Silvery Fu, Hong Zhang, Sylvia Ratnasamy, Ion Stoica
The internet of things in a laptop: rapid prototyping for IoT applications with digibox. HotNets (2022)
Audrey Cheng, Xiao Shi, Aaron N. Kabcenell, Shilpa Lawande, Hamza Qadeer, Jason Chan, Harrison Tin, Ryan Zhao, Peter Bailis, Mahesh Balakrishnan, Nathan Bronson, Natacha Crooks, Ion Stoica
TAOBench: An End-to-End Benchmark for Social Networking Workloads. Proc. VLDB Endow. 15 (9) (2022)
Romil Bhardwaj, Alexey Tumanov, Stephanie Wang, Richard Liaw, Philipp Moritz, Robert Nishihara, Ion Stoica
ESCHER: expressive scheduling with ephemeral resources. SoCC (2022)
Ionel Gog, Sukrit Kalra, Peter Schafhalter, Joseph E. Gonzalez, Ion Stoica
D3: a dynamic deadline-driven approach for building autonomous vehicles. EuroSys (2022)
Paras Jain, Safeen Huda, Martin Maas, Joseph E. Gonzalez, Ion Stoica, Azalia Mirhoseini
Learning to Design Accurate Deep Learning Accelerators with Inaccurate Multipliers. DATE (2022)
Melih Elibol, Vinamra Benara, Samyu Yagati, Lianmin Zheng, Alvin Cheung, Michael I. Jordan, Ion Stoica
NumS: Scalable Array Programming for the Cloud. CoRR (2022)
Frank Sifei Luan, Stephanie Wang, Samyukta Yagati, Sean Kim, Kenneth Lien, SangBin Cho, Eric Liang, Ion Stoica
Exoshuffle: Large-Scale Shuffle at the Application Level. CoRR (2022)
Anurag Khandelwal, Yupeng Tang, Rachit Agarwal, Aditya Akella, Ion Stoica
Jiffy: elastic far-memory for stateful serverless analytics. EuroSys (2022)
Michael J. Whittaker, Ailidani Ailijiang, Aleksey Charapko, Murat Demirbas, Neil Giridharan, Joseph M. Hellerstein, Heidi Howard, Ion Stoica, Adriana Szekeres
Scaling Replicated State Machines with Compartmentalization. Proc. VLDB Endow. 14 (11) (2021)
Paras Jain, Ajay Jain, Tianjun Zhang, Pieter Abbeel, Joseph Gonzalez, Ion Stoica
Contrastive Code Representation Learning. EMNLP (1) (2021)
Anand Padmanabha Iyer, Qifan Pu, Kishan Patel, Joseph E. Gonzalez, Ion Stoica
TEGRA: Efficient Ad-Hoc Analytics on Evolving Graphs. NSDI (2021)
Michael J. Whittaker, Neil Giridharan, Adriana Szekeres, Joseph M. Hellerstein, Heidi Howard, Faisal Nawab, Ion Stoica
[Solution] Matchmaker Paxos: A Reconfigurable Consensus Protocol. J. Syst. Res. 1 (1) (2021)
Wenting Zheng, Ryan Deng, Weikeng Chen, Raluca Ada Popa, Aurojit Panda, Ion Stoica
Cerebro: A Platform for Multi-Party Cryptographic Collaborative Learning. USENIX Security Symposium (2021)
Rohan Bavishi, Caroline Lemieux, Koushik Sen, Ion Stoica
Gauss: program synthesis by reasoning over graphs. Proc. ACM Program. Lang. 5 (OOPSLA) (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ion Stoica