Guolin Ke
18 papers · 2016–2025 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (38) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Triple Crown
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Grand Slam
π₯
Mega-Team Β· Squad
π€
Dynamic Duo
(11)
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Keyword Champion
(2)
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Renaissance Researcher
(5)
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Century Club Β· Bronze
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Trend Setter
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The Questioner
(2)
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(92)
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Prolific Year Β· Productive
Top co-authors
Research topics
Machine Learning
(12)
Deep Learning
(11)
Core Methods
(8)
Architectures
(7)
Application Areas
(6)
Artificial Intelligence
(5)
Natural Language Processing
(5)
Learning Types Β· Machine Learning
(5)
Core AI
(4)
Resources & Methods
(4)
Techniques
(4)
Learning Types Β· Deep Learning
(3)
Healthcare & Medicine
(2)
Optimization & Theory Β· Machine Learning
(2)
Optimization & Theory Β· Deep Learning
(2)
Keywords
gradient boosting
(3)
transformer architecture
(3)
decision tree
(2)
graph neural network
(2)
gradient boosting decision tree
(2)
efficient computing
(2)
scientific literature
(2)
distributed training
(2)
representation learning
(2)
large language model
(2)
word embedding
(2)
self-supervised learning
(2)
language pretraining
(2)
multimodal learning
(1)
knowledge distillation
(1)
benchmark evaluation
(1)
attention mechanism
(1)
contrastive learning
(1)
curriculum learning
(1)
domain adaptation
(1)
Papers
Beyond Atoms: Enhancing Molecular Pretrained Representations with 3D Space Modeling
ICML 2025
MolParser: End-to-end Visual Recognition of Molecule Structures in the Wild
ICCV 2025
SciAssess: Benchmarking LLM Proficiency in Scientific Literature Analysis
NAACL 2025
SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding
ICLR 2025
Exploring Molecular Pretraining Model at Scale
NeurIPS 2024
S-MolSearch: 3D Semi-supervised Contrastive Learning for Bioactive Molecule Search
NeurIPS 2024
Uni-Mol: A Universal 3D Molecular Representation Learning Framework
ICLR 2023
Quantized Training of Gradient Boosting Decision Trees
NeurIPS 2022
Do Transformers Really Perform Badly for Graph Representation?
NeurIPS 2021
How could Neural Networks understand Programs?
ICML 2021
Less is More: Pretrain a Strong Siamese Encoder for Dense Text Retrieval Using a Weak Decoder
EMNLP 2021
Rethinking Positional Encoding in Language Pre-training
ICLR 2021
Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding
NeurIPS 2021
Taking Notes on the Fly Helps Language Pre-Training
ICLR 2021
Invertible Image Rescaling
ECCV 2020
Light Multi-Segment Activation for Model Compression
AAAI 2020
LightGBM: A Highly Efficient Gradient Boosting Decision Tree
NeurIPS 2017
A Communication-Efficient Parallel Algorithm for Decision Tree
NeurIPS 2016