Shuangfei Zhai
28 papers · 2016–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (7) π Academic Marathon (9) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (10)
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Cross-Pollinator
(10)
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Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(37)
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Triple Crown
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Dynamic Duo
(12)
ποΈ
Keyword Collector
(92)
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Unstoppable
(7)
π
Century Club
(28)
π
Trend Setter
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Prolific Year
(5)
Conferences
ICML (9)
NIPS (6)
CVPR (5)
ICLR (5)
AISTATS (1)
NAACL (1)
WACV (1)
Top co-authors
Research topics
Keywords
neural network
(3)
autoregressive model
(2)
latent representation
(2)
image classification
(2)
representation learning
(2)
diffusion model
(2)
image generation
(2)
energy based model
(2)
metric learning
(2)
offline reinforcement learning
(1)
feature extraction
(1)
ensemble learning
(1)
image retrieval
(1)
uncertainty quantification
(1)
multi-task learning
(1)
anomaly detection
(1)
text generation
(1)
black-box optimization
(1)
data augmentation
(1)
self-supervised learning
(1)
Papers
World-consistent Video Diffusion with Explicit 3D Modeling
CVPR 2025
Composition and Control with Distilled Energy Diffusion Models and Sequential Monte Carlo
AISTATS 2025
Normalizing Flows are Capable Generative Models
ICML 2025
Denoising Autoregressive Transformers for Scalable Text-to-Image Generation
ICLR 2025
Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion
ICML 2025
Matryoshka Diffusion Models
ICLR 2024
Generative Modeling with Phase Stochastic Bridge
ICLR 2024
Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling
NIPS 2024
Data-free Distillation of Diffusion Models with Bootstrapping
ICML 2024
Scalable Pre-training of Large Autoregressive Image Models
ICML 2024
Stabilizing Transformer Training by Preventing Attention Entropy Collapse
ICML 2023
PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model
NIPS 2023
AutoFocusFormer: Image Segmentation off the Grid
CVPR 2023
f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation
ICLR 2023
Learning Representation from Neural Fisher Kernel with Low-rank Approximation
ICLR 2022
Regularized Training of Nearest Neighbor Language Models
NAACL 2022
GAUDI: A Neural Architect for Immersive 3D Scene Generation
NIPS 2022
Position Prediction as an Effective Pretraining Strategy
ICML 2022
On the Generalization of Learning-Based 3D Reconstruction
WACV 2021
MetricOpt: Learning To Optimize Black-Box Evaluation Metrics
CVPR 2021
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning
ICML 2021
Collegial Ensembles
NIPS 2020
Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment
ICML 2019
Adversarial Fisher Vectors for Unsupervised Representation Learning
NIPS 2019
S3Pool: Pooling With Stochastic Spatial Sampling
CVPR 2017
Fully-Adaptive Feature Sharing in Multi-Task Networks With Applications in Person Attribute Classification
CVPR 2017
Deep Structured Energy Based Models for Anomaly Detection
ICML 2016
Doubly Convolutional Neural Networks
NIPS 2016