Dong Qian
4 papers · 2019–2025 · 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 (14) 🐣 Hot Topic Early Bird
🚀
Conference Pioneer
Top co-authors
Research topics
Machine Learning
(4)
Deep Learning
(3)
Artificial Intelligence
(2)
Natural Language Processing
(2)
Core AI
(2)
Core Methods
(2)
Models
(2)
Optimization & Theory · Machine Learning
(2)
Mathematics & Optimization
(1)
Generation
(1)
Learning Paradigms
(1)
Learning Types
(1)
Mathematics
(1)
Optimization & Theory · Deep Learning
(1)
Resources & Methods
(1)
Keywords
few-shot learning
(1)
text generation
(1)
language modeling
(1)
mutual information
(1)
randomized hadamard transform
(1)
latent variable
(1)
recurrent neural network
(1)
variational autoencoder
(1)
parameter-efficient fine-tuning
(1)
low-rank adaptation
(1)
electronic health record
(1)
generative diffusion model
(1)
clinical phenotyping
(1)
posterior collapse
(1)
patient representation
(1)
non-negative tensor factorization
(1)
discrete generative model
(1)
pac-bayes regularizer
(1)
pac-bayes regularization
(1)
randomized walsh-hadamard transform
(1)
Papers
WyckoffDiff – A Generative Diffusion Model for Crystal Symmetry
ICML 2025
Fast Randomized Low-Rank Adaptation of Pre-trained Language Models with PAC Regularization
ACL 2024
Enhancing Variational Autoencoders with Mutual Information Neural Estimation for Text Generation
EMNLP 2019
Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-Negative Tensor Factorization
AAAI 2019