Yue-Jiao Gong
9 papers · 2023–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(21)
🏆
Grand Slam
🏆
Keyword Champion
(5)
Venues
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(5)
Learning Paradigms · Artificial Intelligence
(5)
Optimization & Theory
(5)
Deep Learning
(3)
Learning Types · Deep Learning
(3)
Mathematics & Optimization
(2)
Reinforcement Learning
(2)
Learning Types · Machine Learning
(2)
Methods
(2)
Optimization
(2)
Application Areas
(1)
Architectures
(1)
Core AI
(1)
Learning Paradigms · Machine Learning
(1)
Keywords
black-box optimization
(5)
reinforcement learning
(3)
zero-shot generalization
(2)
neural architecture
(1)
offline learning
(1)
streaming data
(1)
adaptive optimization
(1)
node embedding
(1)
mamba architecture
(1)
low-rank adaptation
(1)
latent space
(1)
evolutionary algorithm
(1)
instance generation
(1)
layer freezing
(1)
communication overhead
(1)
genetic programming
(1)
multi-task reinforcement learning
(1)
large language model
(1)
q-function decomposition
(1)
neural network
(1)
Papers
GMFL: Efficient Global Masking for Federated LLM Fine-tuning
ACL 2026
Instance Generation for Meta-Black-Box Optimization Through Latent Space Reverse Engineering
AAAI 2026
TRACE: A Generalizable Drift Detector for Streaming Data-Driven Optimization
AAAI 2026
ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning
AAAI 2025
Meta-Black-Box-Optimization through Offline Q-function Learning
ICML 2025
Neural Exploratory Landscape Analysis for Meta-Black-Box-Optimization
ICLR 2025
Rethinking Neural Multi-Objective Combinatorial Optimization via Neat Weight Embedding
ICLR 2025
SYMBOL: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning
ICLR 2024
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning
NeurIPS 2023