Jilong Xue
10 papers · 2017–2025 · 3 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (16) 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🧬
Topic Evolution
🏆
Keyword Champion
(2)
🗃️
Keyword Collector
(55)
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(10)
Application Areas
(9)
Deep Learning
(8)
Techniques
(7)
Artificial Intelligence
(4)
Core AI
(4)
Optimization & Theory · Machine Learning
(4)
Optimization & Theory · Deep Learning
(4)
Computer Science
(2)
Natural Language Processing
(1)
Applications
(1)
Architectures
(1)
Learning Types
(1)
Resources & Methods
(1)
Systems
(1)
Keywords
deep neural network
(4)
compiler optimization
(3)
hardware accelerator
(2)
hardware acceleration
(2)
large language model
(2)
dnn compiler
(2)
neural network optimization
(1)
distributed learning
(1)
model quantization
(1)
model inference
(1)
machine learning
(1)
inference optimization
(1)
knowledge distillation
(1)
parallel processing
(1)
kernel execution
(1)
performance model
(1)
computation pipelining
(1)
gpu optimization
(1)
tensor processing
(1)
parallel computing
(1)
Papers
BitNet: 1-bit Pre-training for Large Language Models
JMLR 2025
PipeThreader: Software-Defined Pipelining for Efficient DNN Execution
OSDI 2025
WaferLLM: Large Language Model Inference at Wafer Scale
OSDI 2025
Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation
OSDI 2024
Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning
OSDI 2023
Optimizing Dynamic Neural Networks with Brainstorm
OSDI 2023
Welder: Scheduling Deep Learning Memory Access via Tile-graph
OSDI 2023
ROLLER: Fast and Efficient Tensor Compilation for Deep Learning
OSDI 2022
Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks
OSDI 2020
Tux²: Distributed Graph Computation for Machine Learning
NSDI 2017