Zhihao Jia
23 papers · 2012–2026 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (37) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Evolution
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Deep Specialist
(10)
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Renaissance Researcher
(5)
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Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
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Trend Setter
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Keyword Collector
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Research topics
Machine Learning
(19)
Optimization & Theory Β· Machine Learning
(13)
Deep Learning
(11)
Application Areas
(10)
Artificial Intelligence
(7)
Core AI
(7)
Techniques
(6)
Natural Language Processing
(5)
Optimization & Theory Β· Deep Learning
(4)
Computer Science
(3)
Architectures
(3)
Learning Types
(3)
Resources & Methods
(3)
Mathematics & Optimization
(2)
Applications
(2)
Keywords
distributed training
(6)
large language model
(5)
neural network optimization
(3)
tensor program
(2)
model parallelism
(2)
speculative decoding
(2)
preemptible instance
(2)
tensor program optimization
(2)
graph neural network
(2)
deep neural network
(2)
parameter-efficient fine-tuning
(2)
model serving
(2)
token generation
(2)
parallel computing
(1)
outlier detection
(1)
communication complexity
(1)
decision making
(1)
adversarial learning
(1)
fault tolerance
(1)
graph representation
(1)
Papers
FlexLLM: Token-Level Co-Serving of LLM Inference and Finetuning with SLO Guarantees
NSDI 2026
MPK: A Compiler and Runtime for Mega-Kernelizing Tensor Programs
OSDI 2026
DDO: Dual-Decision Optimization for LLM-Based Medical Consultation via Multi-Agent Collaboration
EMNLP 2025
MagicPIG: LSH Sampling for Efficient LLM Generation
ICLR 2025
Mirage: A Multi-Level Superoptimizer for Tensor Programs
OSDI 2025
TidalDecode: Fast and Accurate LLM Decoding with Position Persistent Sparse Attention
ICLR 2025
Accelerating Iterative Retrieval-augmented Language Model Serving with Speculation
ICML 2024
Communication Bounds for the Distributed Experts Problem
NeurIPS 2024
Parcae: Proactive, Liveput-Optimized DNN Training on Preemptible Instances
NSDI 2024
Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models
ACL 2024
Sequoia: Scalable and Robust Speculative Decoding
NeurIPS 2024
SpecExec: Massively Parallel Speculative Decoding For Interactive LLM Inference on Consumer Devices
NeurIPS 2024
X-former Elucidator: Reviving Efficient Attention for Long Context Language Modeling
IJCAI 2024
Bamboo: Making Preemptible Instances Resilient for Affordable Training of Large DNNs
NSDI 2023
EINNET: Optimizing Tensor Programs with Derivation-Based Transformations
OSDI 2023
TopoOpt: Co-optimizing Network Topology and Parallelization Strategy for Distributed Training Jobs
NSDI 2023
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs
NeurIPS 2022
GradSign: Model Performance Inference with Theoretical Insights
ICLR 2022
Unity: Accelerating DNN Training Through Joint Optimization of Algebraic Transformations and Parallelization
OSDI 2022
Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads
OSDI 2021
PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections
OSDI 2021
Exploring Hidden Dimensions in Accelerating Convolutional Neural Networks
ICML 2018
Improving Integer Security for Systems with KINT
OSDI 2012