Boyan Gao
5 papers · 2021–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (4) π Cross-Pollinator (13) π Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(13)
Conferences
AAAI (1)
ACL (1)
ICCV (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
loss function
(2)
empirical risk minimization
(1)
label noise
(1)
model pruning
(1)
physiological signal
(1)
knowledge forgetting
(1)
empirical risk minimisation
(1)
few-shot class-incremental learning
(1)
implicit gradient
(1)
evolutionary strategy
(1)
large language model
(1)
feature space inversion
(1)
synthetic sample generation
(1)
buffer replay strategy
(1)
physiological time series
(1)
knowledge forgetting prevention
(1)
noise-robust learning
(1)
white-box classification
(1)
compact language model
(1)
pruning-aware pretraining
(1)
Papers
EfficientLLM: Unified Pruning-Aware Pretraining for Auto-Designed Compact Language Models
ACL 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