Binhang Yuan
14 papers · 2022–2026 · 5 venues · across top CS/AI venues
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Machine Learning
(13)
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Optimization & Theory Β· Machine Learning
(8)
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(6)
Optimization & Theory Β· Deep Learning
(6)
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(3)
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Keywords
large language model
(6)
model compression
(4)
distributed learning
(3)
pipeline parallelism
(3)
inference optimization
(3)
communication compression
(2)
generative inference
(2)
language model
(2)
heterogeneous network
(2)
foundation model
(2)
heterogeneous computing
(2)
distributed training
(1)
in-context learning
(1)
distributed machine learning
(1)
sparse approximation
(1)
parameter efficient
(1)
robustness
(1)
stochastic gradient descent
(1)
model serving
(1)
poisoning attack
(1)
Papers
OpenTela: Unifying Decentralized Computing Resources for Heterogeneous LLM Serving (Operational Systems)
OSDI 2026
DeFT: Decoding with Flash Tree-attention for Efficient Tree-structured LLM Inference
ICLR 2025
Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs
ICML 2025
Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration
ACL 2025
HexGen-2: Disaggregated Generative Inference of LLMs in Heterogeneous Environment
ICLR 2025
Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild
NeurIPS 2024
HexGen: Generative Inference of Large Language Model over Heterogeneous Environment
ICML 2024
Position: Exploring the Robustness of Pipeline-Parallelism-Based Decentralized Training
ICML 2024
Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning
ICML 2023
CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks
ICML 2023
Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time
ICML 2023
FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU
ICML 2023
Decentralized Training of Foundation Models in Heterogeneous Environments
NeurIPS 2022
Fine-tuning Language Models over Slow Networks using Activation Quantization with Guarantees
NeurIPS 2022