Shuangfei Zhai
29 papers · 2016–2026 · 7 venues · across top CS/AI venues
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diffusion model
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image generation
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neural network
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generative model
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energy-based model
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autoregressive model
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metric learning
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representation learning
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normalizing flow
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latent representation
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video generation
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image classification
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pretraining
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ensemble learning
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anomaly detection
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black-box optimization
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local attention
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semantic segmentation
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autoregressive transformer
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object detection
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Papers
STARFlow-V: End-to-End Video Generative Modeling with Autoregressive Normalizing Flows
CVPR 2026
Composition and Control with Distilled Energy Diffusion Models and Sequential Monte Carlo
AISTATS 2025
Denoising Autoregressive Transformers for Scalable Text-to-Image Generation
ICLR 2025
Normalizing Flows are Capable Generative Models
ICML 2025
Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion
ICML 2025
World-consistent Video Diffusion with Explicit 3D Modeling
CVPR 2025
Data-free Distillation of Diffusion Models with Bootstrapping
ICML 2024
Generative Modeling with Phase Stochastic Bridge
ICLR 2024
Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling
NeurIPS 2024
Matryoshka Diffusion Models
ICLR 2024
Scalable Pre-training of Large Autoregressive Image Models
ICML 2024
AutoFocusFormer: Image Segmentation off the Grid
CVPR 2023
f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation
ICLR 2023
PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model
NeurIPS 2023
Stabilizing Transformer Training by Preventing Attention Entropy Collapse
ICML 2023
GAUDI: A Neural Architect for Immersive 3D Scene Generation
NeurIPS 2022
Learning Representation from Neural Fisher Kernel with Low-rank Approximation
ICLR 2022
Position Prediction as an Effective Pretraining Strategy
ICML 2022
Regularized Training of Nearest Neighbor Language Models
NAACL 2022
MetricOpt: Learning To Optimize Black-Box Evaluation Metrics
CVPR 2021
On the Generalization of Learning-Based 3D Reconstruction
WACV 2021
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning
ICML 2021
Collegial Ensembles
NeurIPS 2020
Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment
ICML 2019
Adversarial Fisher Vectors for Unsupervised Representation Learning
NeurIPS 2019
Fully-Adaptive Feature Sharing in Multi-Task Networks With Applications in Person Attribute Classification
CVPR 2017
S3Pool: Pooling With Stochastic Spatial Sampling
CVPR 2017
Deep Structured Energy Based Models for Anomaly Detection
ICML 2016
Doubly Convolutional Neural Networks
NeurIPS 2016