Ion Stoica

101 papers · 2012–2025 · 12 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (12) 🏃 Academic Marathon (13) 🌍 Conference Polyglot (12) 🌈 Renaissance Researcher (7) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (23) 🏠 Conference Loyalist (25) 🏆 Keyword Champion (3) 👑 Triple Crown 🏆 Grand Slam 🔬 Deep Specialist (12) 🤝 Dynamic Duo (22) 🚀 Conference Pioneer ⚡ Prolific Year (16) 🔥 Unstoppable (14) 💎 Century Club (101) 🗃️ Keyword Collector (109) ❓ The Questioner

Conferences

NSDI (30) ICML (25) OSDI (14) ICLR (10) NIPS (10) EMNLP (4) CORL (2) JMLR (2) AAAI (1) AISTATS (1) CVPR (1) ECCV (1)

Top co-authors

Joseph E. Gonzalez (22) Wei-Lin Chiang (14) Hao Zhang (12) Joseph Gonzalez (11) Lianmin Zheng (9) Eric Liang (8) Zhuohan Li (7) Ying Sheng (7) Joseph E Gonzalez (7) Paras Jain (7)

Research topics

Applications (2) Deep Learning (1) Optimization (1)

Keywords

large language model (7) inference optimization (6) reinforcement learning (6) model compression (4) model parallelism (3) multi-armed bandit (3) online learning (3) distributed computing (3) resource allocation (3) cost optimization (3) throughput optimization (3) deep neural network (2) supervised fine-tuning (2) language model (2) stochastic gradient descent (2) online algorithm (2) memory optimization (2) fault tolerance (2) distributed training (2) pareto efficiency (2)

Papers

Sparse Video-Gen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity ICML 2025

Prompt-to-Leaderboard: Prompt-Adaptive LLM Evaluations ICML 2025

Exploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards ICML 2025

From Crowdsourced Data to High-quality Benchmarks: Arena-Hard and Benchbuilder Pipeline ICML 2025

RoboMonkey: Scaling Test-Time Sampling and Verification for Vision-Language-Action Models CORL 2025

VisionArena: 230k Real World User-VLM Conversations with Preference Labels CVPR 2025

SuperServe: Fine-Grained Inference Serving for Unpredictable Workloads NSDI 2025

S*: Test Time Scaling for Code Generation EMNLP 2025

Language Models Can Easily Learn to Reason from Demonstrations EMNLP 2025

A Statistical Framework for Ranking LLM-based Chatbots ICLR 2025

How to Evaluate Reward Models for RLHF ICLR 2025

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code ICLR 2025

RouteLLM: Learning to Route LLMs from Preference Data ICLR 2025

JudgeBench: A Benchmark for Evaluating LLM-Based Judges ICLR 2025

GameArena: Evaluating LLM Reasoning through Live Computer Games ICLR 2025

depyf: Open the Opaque Box of PyTorch Compiler for Machine Learning Researchers JMLR 2025

Fast Video Generation with Sliding Tile Attention ICML 2025

HashAttention: Semantic Sparsity for Faster Inference ICML 2025

The Berkeley Function Calling Leaderboard (BFCL): From Tool Use to Agentic Evaluation of Large Language Models ICML 2025

Copilot Arena: A Platform for Code LLM Evaluation in the Wild ICML 2025

OR-Bench: An Over-Refusal Benchmark for Large Language Models ICML 2025

Can't Be Late: Optimizing Spot Instance Savings under Deadlines NSDI 2024

LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset ICLR 2024

LLM-Assisted Code Cleaning For Training Accurate Code Generators ICLR 2024

Trustless Audits without Revealing Data or Models ICML 2024

MuxServe: Flexible Spatial-Temporal Multiplexing for Multiple LLM Serving ICML 2024

Stylus: Automatic Adapter Selection for Diffusion Models NIPS 2024

Are More LLM Calls All You Need? Towards the Scaling Properties of Compound AI Systems NIPS 2024

Efficient LLM Scheduling by Learning to Rank NIPS 2024

SGLang: Efficient Execution of Structured Language Model Programs NIPS 2024

Crafting Interpretable Embeddings for Language Neuroscience by Asking LLMs Questions NIPS 2024

Fairness in Serving Large Language Models OSDI 2024

Break the Sequential Dependency of LLM Inference Using Lookahead Decoding ICML 2024

Cloudcast: High-Throughput, Cost-Aware Overlay Multicast in the Cloud NSDI 2024

R2E: Turning any Github Repository into a Programming Agent Environment ICML 2024

Online Speculative Decoding ICML 2024

Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference ICML 2024

Cilantro: Performance-Aware Resource Allocation for General Objectives via Online Feedback OSDI 2023

CLUTR: Curriculum Learning via Unsupervised Task Representation Learning ICML 2023

FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU ICML 2023

AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving OSDI 2023

Take Out the TraChe: Maximizing (Tra)nsactional Ca(che) Hit Rate OSDI 2023

SHEPHERD: Serving DNNs in the Wild NSDI 2023

Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena NIPS 2023

SkyPilot: An Intercloud Broker for Sky Computing NSDI 2023

ExoFlow: A Universal Workflow System for Exactly-Once DAGs OSDI 2023

VCG Mechanism Design with Unknown Agent Values under Stochastic Bandit Feedback JMLR 2023

Skyplane: Optimizing Transfer Cost and Throughput Using Cloud-Aware Overlays NSDI 2023

Programmatic Modeling and Generation of Real-Time Strategic Soccer Environments for Reinforcement Learning AAAI 2022

Learning Competitive Equilibria in Exchange Economies with Bandit Feedback AISTATS 2022

Context-Aware Streaming Perception in Dynamic Environments ECCV 2022

POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging ICML 2022

Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers NSDI 2022

NetHint: White-Box Networking for Multi-Tenant Data Centers NSDI 2022

Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning OSDI 2022

TEGRA: Efficient Ad-Hoc Analytics on Evolving Graphs NSDI 2021

Twenty Years After: Hierarchical Core-Stateless Fair Queueing NSDI 2021

ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training ICML 2021

TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models ICML 2021

Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism ICML 2021

RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem NIPS 2021

Contrastive Code Representation Learning EMNLP 2021

Grounded Graph Decoding improves Compositional Generalization in Question Answering EMNLP 2021

Representing Long-Range Context for Graph Neural Networks with Global Attention NIPS 2021

Accelerating Quadratic Optimization with Reinforcement Learning NIPS 2021

Ownership: A Distributed Futures System for Fine-Grained Tasks NSDI 2021

Caerus: NIMBLE Task Scheduling for Serverless Analytics NSDI 2021

IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks ICLR 2020

Variable Skipping for Autoregressive Range Density Estimation ICML 2020

FetchSGD: Communication-Efficient Federated Learning with Sketching ICML 2020

Ansor: Generating High-Performance Tensor Programs for Deep Learning OSDI 2020

DORY: An Encrypted Search System with Distributed Trust OSDI 2020

RackSched: A Microsecond-Scale Scheduler for Rack-Scale Computers OSDI 2020

Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules ICML 2019

Confluo: Distributed Monitoring and Diagnosis Stack for High-speed Networks NSDI 2019

Shuffling, Fast and Slow: Scalable Analytics on Serverless Infrastructure NSDI 2019

Communication-efficient Distributed SGD with Sketching NIPS 2019

NetChain: Scale-Free Sub-RTT Coordination NSDI 2018

RLlib: Abstractions for Distributed Reinforcement Learning ICML 2018

Parametrized Hierarchical Procedures for Neural Programming ICLR 2018

Ray: A Distributed Framework for Emerging AI Applications OSDI 2018

ASAP: Fast, Approximate Graph Pattern Mining at Scale OSDI 2018

Clipper: A Low-Latency Online Prediction Serving System NSDI 2017

DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations CORL 2017

Opaque: An Oblivious and Encrypted Distributed Analytics Platform NSDI 2017

Ernest: Efficient Performance Prediction for Large-Scale Advanced Analytics NSDI 2016

EC-Cache: Load-Balanced, Low-Latency Cluster Caching with Online Erasure Coding OSDI 2016

HUG: Multi-Resource Fairness for Correlated and Elastic Demands NSDI 2016

FairRide: Near-Optimal, Fair Cache Sharing NSDI 2016

CFA: A Practical Prediction System for Video QoE Optimization NSDI 2016

BlowFish: Dynamic Storage-Performance Tradeoff in Data Stores NSDI 2016

CellIQ : Real-Time Cellular Network Analytics at Scale NSDI 2015

Succinct: Enabling Queries on Compressed Data NSDI 2015

C3: Internet-Scale Control Plane for Video Quality Optimization NSDI 2015

The Power of Choice in Data-Aware Cluster Scheduling OSDI 2014

GRASS: Trimming Stragglers in Approximation Analytics NSDI 2014

GraphX: Graph Processing in a Distributed Dataflow Framework OSDI 2014

Effective Straggler Mitigation: Attack of the Clones NSDI 2013

Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing NSDI 2012

PACMan: Coordinated Memory Caching for Parallel Jobs NSDI 2012

Reoptimizing Data Parallel Computing NSDI 2012