Ruiqi Gao
32 papers · 2018–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (8) π Academic Marathon (7) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (14)
π
Cross-Pollinator
(14)
π
Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(64)
π¬
Deep Specialist
(11)
π€
Dynamic Duo
(17)
π
Triple Crown
π§¬
Topic Evolution
π
Grand Slam
ποΈ
Keyword Collector
(164)
π
Century Club
(32)
π₯
Unstoppable
(8)
β‘
Prolific Year
(7)
π
Conference Pioneer
π
Trend Setter
Conferences
CVPR (11)
NIPS (8)
ICLR (5)
AAAI (3)
ICML (2)
ECCV (1)
EMNLP (1)
ICCV (1)
Top co-authors
Keywords
generative model
(10)
diffusion model
(9)
energy-based model
(5)
novel view synthesis
(5)
image generation
(5)
3d reconstruction
(4)
maximum likelihood
(3)
markov chain monte carlo
(3)
latent diffusion
(3)
domain adaptation
(2)
variational inference
(2)
model compression
(2)
disentangled representation
(2)
semi-supervised learning
(2)
model distillation
(2)
mcmc sampling
(2)
knowledge distillation
(2)
video generation
(2)
unsupervised learning
(2)
data augmentation
(2)
Papers
Simpler Diffusion: 1.5 FID on ImageNet512 with Pixel-space Diffusion
CVPR 2025
Bolt3D: Generating 3D Scenes in Seconds
ICCV 2025
On Conformal Isometry of Grid Cells: Learning Distance-Preserving Position Embedding
ICLR 2025
CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models
CVPR 2025
SimVS: Simulating World Inconsistencies for Robust View Synthesis
CVPR 2025
SceneCrafter: Controllable Multi-View Driving Scene Editing
CVPR 2025
Generative Hierarchical Materials Search
NIPS 2024
CAT3D: Create Anything in 3D with Multi-View Diffusion Models
NIPS 2024
MagicMirror: Fast and High-Quality Avatar Generation with Constrained Search Space
ECCV 2024
Large Language Models are Limited in Out-of-Context Knowledge Reasoning
EMNLP 2024
ReconFusion: 3D Reconstruction with Diffusion Priors
CVPR 2024
Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood
ICLR 2024
EM Distillation for One-step Diffusion Models
NIPS 2024
On Distillation of Guided Diffusion Models
CVPR 2023
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC
NIPS 2023
Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation
NIPS 2023
Latent Diffusion Energy-Based Model for Interpretable Text Modelling
ICML 2022
Learning V1 Simple Cells with Vector Representation of Local Content and Matrix Representation of Local Motion
AAAI 2022
MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC
ICLR 2022
Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis
CVPR 2021
Learning Energy-Based Models by Diffusion Recovery Likelihood
ICLR 2021
A Theory of Label Propagation for Subpopulation Shift
ICML 2021
On Path Integration of Grid Cells: Group Representation and Isotropic Scaling
NIPS 2021
Flow Contrastive Estimation of Energy-Based Models
CVPR 2020
Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns
AAAI 2020
Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot
NIPS 2020
Learning Dynamic Generator Model by Alternating Back-Propagation through Time
AAAI 2019
Convergence of Adversarial Training in Overparametrized Neural Networks
NIPS 2019
Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network
CVPR 2019
Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion
ICLR 2019
Learning Descriptor Networks for 3D Shape Synthesis and Analysis
CVPR 2018
Learning Generative ConvNets via Multi-Grid Modeling and Sampling
CVPR 2018