Lingxiao Ma
11 papers · 2019–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (3) π Cross-Pollinator (12)
πΊοΈ
Taxonomy Completionist
(18)
π
Interdisciplinary Bridge
π§
Keyword Pioneer
π
Keyword Champion
(2)
π¬
Deep Specialist
(11)
π§¬
Topic Evolution
ποΈ
Keyword Collector
(59)
π
Century Club
(11)
π
Trend Setter
Conferences
OSDI (9)
CVPR (1)
JMLR (1)
Top co-authors
Keywords
deep neural network
(4)
compiler optimization
(3)
large language model
(2)
model compression
(2)
hardware accelerator
(2)
hardware acceleration
(2)
dnn compiler
(2)
model inference
(1)
parallel processing
(1)
model quantization
(1)
inference acceleration
(1)
low-bit quantization
(1)
inference latency
(1)
model sparsity
(1)
inference optimization
(1)
neural network optimization
(1)
computation pipelining
(1)
kernel execution
(1)
gpu optimization
(1)
performance model
(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
Welder: Scheduling Deep Learning Memory Access via Tile-graph
OSDI 2023
Optimizing Dynamic Neural Networks with Brainstorm
OSDI 2023
ROLLER: Fast and Efficient Tensor Compilation for Deep Learning
OSDI 2022
SparTA: Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute
OSDI 2022
Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks
OSDI 2020
SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization
CVPR 2019