Yanping Huang
18 papers · 2012–2026 · 8 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (45) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🏆
Grand Slam
🤝
Dynamic Duo
(11)
🧭
Keyword Pioneer
👥
Mega-Team · Squad
🚀
Conference Pioneer
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
🌈
Renaissance Researcher
(7)
📈
Trend Setter
🗃️
Keyword Collector
(101)
Top co-authors
Research topics
Machine Learning
(13)
Deep Learning
(9)
Optimization & Theory
(9)
Artificial Intelligence
(6)
Application Areas
(6)
Architectures
(5)
Learning Types
(5)
Core AI
(4)
Techniques
(4)
Computer Vision
(3)
Natural Language Processing
(3)
Computer Science
(2)
Interdisciplinary
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Keywords
mixture of expert
(5)
model parallelism
(3)
large language model
(3)
language model
(3)
bayesian inference
(2)
image generation
(2)
neural network
(2)
model compression
(2)
parameter efficiency
(2)
distributed training
(2)
sparse activation
(2)
model scaling
(2)
few-shot learning
(2)
knowledge distillation
(1)
decision making
(1)
particle filtering
(1)
multi-task learning
(1)
image classification
(1)
transfer learning
(1)
deep learning
(1)
Papers
Agentix: An Efficient Serving Engine for LLM Agents as General Programs
NSDI 2026
Controlled Decoding from Language Models
ICML 2024
Scaling Instruction-Finetuned Language Models
JMLR 2024
Stylus: Automatic Adapter Selection for Diffusion Models
NeurIPS 2024
AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving
OSDI 2023
Brainformers: Trading Simplicity for Efficiency
ICML 2023
Lifelong Language Pretraining with Distribution-Specialized Experts
ICML 2023
SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs
NeurIPS 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
NeurIPS 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
NeurIPS 2020
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism
NeurIPS 2019
Regularized Evolution for Image Classifier Architecture Search
AAAI 2019
Neurons as Monte Carlo Samplers: Bayesian Inference and Learning in Spiking Networks
NeurIPS 2014
How Prior Probability Influences Decision Making: A Unifying Probabilistic Model
NeurIPS 2012