Rui Shu
15 papers · 2017–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (5) π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Academic Marathon (8)
π£
Hot Topic Early Bird
π
Cross-Pollinator
(13)
πΊοΈ
Taxonomy Completionist
(30)
π€
Dynamic Duo
(11)
π
Grand Slam
π₯
Unstoppable
(6)
π
Century Club
(15)
π
Conference Pioneer
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(57)
Conferences
ICML (5)
ICLR (4)
AAAI (2)
AISTATS (2)
NIPS (2)
Top co-authors
Keywords
generative model
(5)
representation learning
(3)
variational autoencoder
(3)
optimal control
(2)
dynamical system
(2)
variational inference
(2)
latent space
(2)
model-based reinforcement learning
(2)
locally-linear control
(2)
domain adaptation
(1)
image-to-image translation
(1)
adversarial training
(1)
weak supervision
(1)
semi-supervised learning
(1)
image translation
(1)
image synthesis
(1)
model security
(1)
stochastic variational inference
(1)
amortized inference
(1)
variational approximation
(1)
Papers
Stop Diverse OOD Attacks: Knowledge Ensemble for Reliable Defense
AAAI 2025
Bit Prioritization in Variational Autoencoders via Progressive Coding
ICML 2022
Temporal Predictive Coding For Model-Based Planning In Latent Space
ICML 2021
Anytime Sampling for Autoregressive Models via Ordered Autoencoding
ICLR 2021
Weakly Supervised Disentanglement with Guarantees
ICLR 2020
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows
AAAI 2020
Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control
ICLR 2020
Fair Generative Modeling via Weak Supervision
ICML 2020
Predictive Coding for Locally-Linear Control
ICML 2020
Training Variational Autoencoders with Buffered Stochastic Variational Inference
AISTATS 2019
Robust Locally-Linear Controllable Embedding
AISTATS 2018
A DIRT-T Approach to Unsupervised Domain Adaptation
ICLR 2018
Amortized Inference Regularization
NIPS 2018
Constructing Unrestricted Adversarial Examples with Generative Models
NIPS 2018
Bottleneck Conditional Density Estimation
ICML 2017