Yanqiao Zhu
11 papers · 2019–2025 · 7 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (29) π Academic Marathon Β· Sprint π£ Hot Topic Early Bird π Conference Polyglot Β· Silver
π
Grand Slam
π
Conference Pioneer
β‘
Prolific Year Β· Productive
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Century Club Β· Bronze
ποΈ
Keyword Collector
(63)
Top co-authors
Research topics
Machine Learning
(10)
Artificial Intelligence
(6)
Core AI
(6)
Core Methods
(6)
Deep Learning
(5)
Application Areas
(5)
Natural Language Processing
(3)
Architectures
(3)
Learning Types Β· Machine Learning
(3)
Optimization & Theory
(3)
Data Science & Analytics
(2)
Applications
(2)
Learning Types Β· Deep Learning
(2)
Resources & Methods
(2)
Speech & Audio
(1)
Keywords
graph neural network
(4)
large language model
(2)
molecular representation
(2)
few-shot learning
(1)
unsupervised pretraining
(1)
graph classification
(1)
ensemble learning
(1)
knowledge distillation
(1)
speech synthesis
(1)
pseudo labeling
(1)
dense retrieval
(1)
label noise
(1)
machine learning
(1)
user modeling
(1)
graph structure learning
(1)
robust learning
(1)
sample selection
(1)
node classification
(1)
scaling law
(1)
attention mechanism
(1)
Papers
Efficient Evolutionary Search Over Chemical Space with Large Language Models
ICLR 2025
SLAM-Omni: Timbre-Controllable Voice Interaction System with Single-Stage Training
ACL 2025
BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers
EMNLP 2024
Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks
ICLR 2024
SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models
ICML 2024
A Systematic Survey of Chemical Pre-trained Models
IJCAI 2023
GSLB: The Graph Structure Learning Benchmark
NeurIPS 2023
M$^2$Hub: Unlocking the Potential of Machine Learning for Materials Discovery
NeurIPS 2023
Neighborhood-Regularized Self-Training for Learning with Few Labels
AAAI 2023
Uncovering Neural Scaling Laws in Molecular Representation Learning
NeurIPS 2023
Session-Based Recommendation with Graph Neural Networks
AAAI 2019