Qinsheng Zhang
16 papers · 2020–2025 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (25) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Deep Specialist
(12)
π€
Dynamic Duo
(11)
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Topic Evolution
π₯
Unstoppable Β· Bronze
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Conference Pioneer
ποΈ
Keyword Collector
(83)
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Deep Learning
(14)
Models
(14)
Machine Learning
(8)
Computer Vision
(7)
Generation
(5)
Optimization & Theory
(4)
Artificial Intelligence
(3)
Architectures
(3)
Application Areas
(2)
Core AI
(2)
Core Methods
(2)
Learning Types Β· Machine Learning
(2)
Analysis
(1)
Bayesian & Probabilistic
(1)
Learning Types Β· Deep Learning
(1)
Keywords
diffusion model
(8)
image generation
(6)
stochastic differential equation
(2)
video generation
(2)
score function
(2)
image super-resolution
(1)
model parallelism
(1)
motion synthesis
(1)
distributional reinforcement learning
(1)
text generation
(1)
policy gradient
(1)
distributed computing
(1)
attention mechanism
(1)
parallel computing
(1)
stochastic control
(1)
probability distribution
(1)
distributed inference
(1)
parallel inference
(1)
self-play
(1)
optimal transport
(1)
Papers
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator
ICML 2025
EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation
ICLR 2025
High-Quality Joint Image and Video Tokenization with Causal VAE
ICLR 2025
Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling
ICLR 2025
Condition-Aware Neural Network for Controlled Image Generation
CVPR 2024
DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models
CVPR 2024
RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance
NeurIPS 2024
Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion
ICML 2024
DiffCollage: Parallel Generation of Large Content With Diffusion Models
CVPR 2023
Fast Sampling of Diffusion Models with Exponential Integrator
ICLR 2023
gDDIM: Generalized denoising diffusion implicit models
ICLR 2023
Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation
ICML 2023
Path Integral Sampler: A Stochastic Control Approach For Sampling
ICLR 2022
Variational Wasserstein gradient flow
ICML 2022
Diffusion Normalizing Flow
NeurIPS 2021
Improving Robustness via Risk Averse Distributional Reinforcement Learning
L4DC 2020