Qianggang Ding
5 papers · 2020–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(18)
Venues
Top co-authors
Research topics
Machine Learning
(5)
Core Methods
(4)
Deep Learning
(3)
Data Science & Analytics
(2)
Architectures
(2)
Learning Types · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Artificial Intelligence
(1)
Interdisciplinary
(1)
Application Areas
(1)
Applications
(1)
Core AI
(1)
Methods
(1)
Optimization & Theory
(1)
Science
(1)
Keywords
time series forecasting
(2)
feature learning
(1)
attention mechanism
(1)
knowledge distillation
(1)
adversarial training
(1)
time series
(1)
probabilistic prediction
(1)
gaussian priors
(1)
sequence prediction
(1)
molecular graph
(1)
generative adversarial network
(1)
soft label
(1)
multi-head self-attention
(1)
retrosynthesis prediction
(1)
materials discovery
(1)
stock prediction
(1)
large language model
(1)
graph neural network
(1)
neural network
(1)
chemical synthesis
(1)
Papers
MatExpert: Decomposing Materials Discovery By Mimicking Human Experts
ICLR 2025
Knowledge Refinery: Learning from Decoupled Label
AAAI 2021
Adversarial Sparse Transformer for Time Series Forecasting
NeurIPS 2020
Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction
IJCAI 2020
RetroXpert: Decompose Retrosynthesis Prediction Like A Chemist
NeurIPS 2020