Boyan Gao
6 papers · 2021–2026 · 6 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(17)
🏆
Keyword Champion
Top co-authors
Research topics
Artificial Intelligence
(4)
Machine Learning
(4)
Core AI
(3)
Application Areas
(2)
Core Methods
(2)
Optimization & Theory
(2)
Deep Learning
(1)
Healthcare & Medicine
(1)
Learning Paradigms · Machine Learning
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Research
(1)
Keywords
large language model
(3)
loss function
(2)
knowledge distillation
(2)
out-of-domain detection
(1)
energy efficiency
(1)
empirical risk minimization
(1)
label noise
(1)
model pruning
(1)
spiking neural network
(1)
physiological signal
(1)
knowledge forgetting
(1)
empirical risk minimisation
(1)
few-shot class-incremental learning
(1)
implicit gradient
(1)
evolutionary strategy
(1)
feature space inversion
(1)
synthetic sample generation
(1)
buffer replay strategy
(1)
physiological time series
(1)
knowledge forgetting prevention
(1)
Papers
EfficientLLM: Unified Pruning-Aware Pretraining for Auto-Designed Compact Language Models
ACL 2026
Semantic Self-Distillation for Language Model Uncertainty
UAI 2026
AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Feature Space-Guided Inversion
AAAI 2025
SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking
ICLR 2025
Loss Function Learning for Domain Generalization by Implicit Gradient
ICML 2022
Searching for Robustness: Loss Learning for Noisy Classification Tasks
ICCV 2021