Qinsheng Zhang
16 papers · 2020–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🐝 Cross-Pollinator (10)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🤝
Dynamic Duo
(11)
🚀
Conference Pioneer
🔥
Unstoppable
(6)
💎
Century Club
(16)
Conferences
ICLR (6)
ICML (4)
CVPR (3)
NIPS (2)
L4DC (1)
Top co-authors
Keywords
diffusion model
(5)
image generation
(4)
variational inference
(1)
motion synthesis
(1)
video generation
(1)
optimal transport
(1)
distributional reinforcement learning
(1)
motion generation
(1)
model parallelism
(1)
distributed computing
(1)
image super-resolution
(1)
parallel computing
(1)
probability distribution
(1)
distributed inference
(1)
parallel inference
(1)
attention mechanism
(1)
generative model
(1)
policy gradient
(1)
normalizing flow
(1)
generative modeling
(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
Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion
ICML 2024
RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance
NIPS 2024
DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models
CVPR 2024
Condition-Aware Neural Network for Controlled Image Generation
CVPR 2024
gDDIM: Generalized denoising diffusion implicit models
ICLR 2023
Fast Sampling of Diffusion Models with Exponential Integrator
ICLR 2023
Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation
ICML 2023
DiffCollage: Parallel Generation of Large Content With Diffusion Models
CVPR 2023
Path Integral Sampler: A Stochastic Control Approach For Sampling
ICLR 2022
Variational Wasserstein gradient flow
ICML 2022
Diffusion Normalizing Flow
NIPS 2021
Improving Robustness via Risk Averse Distributional Reinforcement Learning
L4DC 2020