Rui Shu
15 papers · 2017–2025 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (31) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Evolution
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Dynamic Duo
(11)
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Grand Slam
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Prolific Year Β· Productive
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Unstoppable Β· Bronze
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Century Club Β· Bronze
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Conference Pioneer
ποΈ
Keyword Collector
(69)
Top co-authors
Research topics
Machine Learning
(14)
Deep Learning
(10)
Learning Types Β· Machine Learning
(9)
Models
(9)
Core Methods
(7)
Optimization & Theory
(5)
Artificial Intelligence
(4)
Application Areas
(4)
Core AI
(4)
Architectures
(3)
Learning Types Β· Deep Learning
(3)
Computer Vision
(2)
Reinforcement Learning
(2)
Generation
(2)
Methods
(2)
Keywords
generative model
(5)
representation learning
(4)
locally-linear control
(3)
optimal control
(3)
variational inference
(3)
variational autoencoder
(3)
latent space
(2)
latent representation
(2)
image generation
(2)
latent dynamics
(2)
dynamical system
(2)
model-based reinforcement learning
(2)
adversarial training
(1)
image translation
(1)
domain adaptation
(1)
unsupervised domain adaptation
(1)
image synthesis
(1)
semi-supervised learning
(1)
weakly supervised learning
(1)
distribution matching
(1)
Papers
Stop Diverse OOD Attacks: Knowledge Ensemble for Reliable Defense
AAAI 2025
Bit Prioritization in Variational Autoencoders via Progressive Coding
ICML 2022
Anytime Sampling for Autoregressive Models via Ordered Autoencoding
ICLR 2021
Temporal Predictive Coding For Model-Based Planning In Latent Space
ICML 2021
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows
AAAI 2020
Fair Generative Modeling via Weak Supervision
ICML 2020
Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control
ICLR 2020
Predictive Coding for Locally-Linear Control
ICML 2020
Weakly Supervised Disentanglement with Guarantees
ICLR 2020
Training Variational Autoencoders with Buffered Stochastic Variational Inference
AISTATS 2019
A DIRT-T Approach to Unsupervised Domain Adaptation
ICLR 2018
Amortized Inference Regularization
NeurIPS 2018
Constructing Unrestricted Adversarial Examples with Generative Models
NeurIPS 2018
Robust Locally-Linear Controllable Embedding
AISTATS 2018
Bottleneck Conditional Density Estimation
ICML 2017