Ruixiang ZHANG
12 papers · 2018–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (20) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (6)
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Academic Marathon
(7)
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Cross-Pollinator
(13)
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Grand Slam
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Century Club
(12)
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Trend Setter
Conferences
ICML (4)
ICLR (3)
NIPS (2)
AAAI (1)
AISTATS (1)
ICCV (1)
Top co-authors
Keywords
variational autoencoder
(2)
generative model
(2)
generative adversarial network
(2)
semantic segmentation
(1)
few-shot learning
(1)
algorithmic fairness
(1)
semi-supervised learning
(1)
anomaly detection
(1)
information bottleneck
(1)
perceptual learning
(1)
multi-view fusion
(1)
image synthesis
(1)
conditional generation
(1)
ai safety
(1)
maximum likelihood
(1)
image generation
(1)
graphical model
(1)
score function
(1)
adversarial learning
(1)
image classification
(1)
Papers
Composition and Control with Distilled Energy Diffusion Models and Sequential Monte Carlo
AISTATS 2025
Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion
ICML 2025
Normalizing Flows are Capable Generative Models
ICML 2025
Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning
ICLR 2023
Robust and Controllable Object-Centric Learning through Energy-based Models
ICLR 2023
Learning Representation from Neural Fisher Kernel with Low-rank Approximation
ICLR 2022
RPVNet: A Deep and Efficient Range-Point-Voxel Fusion Network for LiDAR Point Cloud Segmentation
ICCV 2021
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models
AAAI 2021
Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective
ICML 2020
Your GAN is Secretly an Energy-based Model and You Should Use Discriminator Driven Latent Sampling
NIPS 2020
Perceptual Generative Autoencoders
ICML 2020
MetaGAN: An Adversarial Approach to Few-Shot Learning
NIPS 2018