Yanping Huang
17 papers · 2012–2024 · 7 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (15) π£ Hot Topic Early Bird
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Academic Marathon
(12)
π€
Dynamic Duo
(10)
π
Grand Slam
π₯
Mega-Team
(35)
π₯
Unstoppable
(6)
ποΈ
Keyword Collector
(86)
π
Conference Pioneer
π
Trend Setter
π
Century Club
(17)
Conferences
NIPS (7)
ICML (4)
OSDI (2)
AAAI (1)
EMNLP (1)
ICLR (1)
JMLR (1)
Top co-authors
Research topics
Keywords
mixture of expert
(4)
model parallelism
(3)
language model
(2)
bayesian inference
(2)
image generation
(2)
model compression
(2)
distributed training
(2)
sparse activation
(2)
neural network
(2)
few-shot learning
(2)
parameter efficiency
(2)
machine translation
(1)
probabilistic modeling
(1)
multimodal learning
(1)
knowledge distillation
(1)
decision making
(1)
image classification
(1)
efficient computing
(1)
particle filtering
(1)
neural network optimization
(1)
Papers
Scaling Instruction-Finetuned Language Models
JMLR 2024
Stylus: Automatic Adapter Selection for Diffusion Models
NIPS 2024
Controlled Decoding from Language Models
ICML 2024
AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving
OSDI 2023
Lifelong Language Pretraining with Distribution-Specialized Experts
ICML 2023
SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs
NIPS 2023
Brainformers: Trading Simplicity for Efficiency
ICML 2023
Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning
OSDI 2022
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts
ICML 2022
Mixture-of-Experts with Expert Choice Routing
NIPS 2022
Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference
EMNLP 2021
GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding
ICLR 2021
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout
NIPS 2020
Regularized Evolution for Image Classifier Architecture Search
AAAI 2019
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism
NIPS 2019
Neurons as Monte Carlo Samplers: Bayesian οΏΌInference and Learning in Spiking Networks
NIPS 2014
How Prior Probability Influences Decision Making: A Unifying Probabilistic Model
NIPS 2012