Feiyang YE
9 papers · 2021–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (29) π§ Keyword Pioneer π Conference Polyglot (5) π Interdisciplinary Bridge
π
Cross-Pollinator
(15)
π₯
Unstoppable
(5)
β
The Questioner
Conferences
ICLR (3)
NIPS (3)
COLING (1)
EMNLP (1)
IJCAI (1)
Top co-authors
Keywords
named entity recognition
(2)
gradient descent
(2)
few-shot learning
(2)
multi-task learning
(2)
neural network
(2)
knowledge distillation
(1)
sequence modeling
(1)
federated learning
(1)
bayesian inference
(1)
domain adaptation
(1)
sequence labeling
(1)
gradient-based optimization
(1)
representation learning
(1)
transfer learning
(1)
laplace approximation
(1)
low-resource learning
(1)
one-shot learning
(1)
time series forecasting
(1)
multi-objective optimization
(1)
model compression
(1)
Papers
Sharpness-Aware Black-Box Optimization
ICLR 2025
MTSAM: Multi-Task Fine-Tuning for Segment Anything Model
ICLR 2025
Improving Low-Resource Sequence Labeling with Knowledge Fusion and Contextual Label Explanations
EMNLP 2025
Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting
NIPS 2024
FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation
NIPS 2024
Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning
ICLR 2024
Multi-Task Learning via Time-Aware Neural ODE
IJCAI 2023
PCBERT: Parent and Child BERT for Chinese Few-shot NER
COLING 2022
Multi-Objective Meta Learning
NIPS 2021