Yichao Fu
6 papers · 2024–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(17)
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Hot Topic Early Bird
Venues
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Research topics
Artificial Intelligence
(5)
Machine Learning
(5)
Core AI
(5)
Deep Learning
(4)
Natural Language Processing
(4)
Application Areas
(4)
Generation
(2)
Learning Types
(2)
Models
(2)
Optimization & Theory · Machine Learning
(2)
Resources & Methods
(2)
Architectures
(1)
Core Methods
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
large language model
(4)
transformer architecture
(1)
efficient training
(1)
model parallelism
(1)
instruction tuning
(1)
learning to rank
(1)
mixture of expert
(1)
throughput optimization
(1)
inference optimization
(1)
weight quantization
(1)
latency reduction
(1)
inference acceleration
(1)
multiplication-free model
(1)
hardware acceleration
(1)
speculative decoding
(1)
linear attention
(1)
autoregressive decoding
(1)
request scheduling
(1)
language model inference
(1)
head-of-line blocking
(1)
Papers
FoldMoE: Efficient Long Sequence MoE Training via Attention-MoE Pipelining
ACL 2025
Mat-Instructions: A Large-Scale Inorganic Material Instruction Dataset for Large Language Models
IJCAI 2025
Break the Sequential Dependency of LLM Inference Using Lookahead Decoding
ICML 2024
Efficient LLM Scheduling by Learning to Rank
NeurIPS 2024
ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization
NeurIPS 2024
When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models
ICML 2024