Ziyu Wang

papers

1,162

total citations

papers (19)

SWEM: Towards Real-Time Video Object Segmentation With Sequential Weighted Expectation-Maximization

CVPR 2022arXiv

citations

Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective

ICML 2024arXiv

citations

Further Analysis of Outlier Detection with Deep Generative Models

NEURIPS 2020arXiv

citations

HumanGen: Generating Human Radiance Fields With Explicit Priors

CVPR 2023arXiv

citations

Whole-Song Hierarchical Generation of Symbolic Music Using Cascaded Diffusion Models

ICLR 2024arXiv

citations

Dancing with Still Images: Video Distillation via Static-Dynamic Disentanglement

CVPR 2024arXiv

citations

Object-centric Learning with Cyclic Walks between Parts and Whole

NEURIPS 2023arXiv

citations

Synthetic Video Enhances Physical Fidelity in Video Synthesis

ICCV 2025arXiv

citations

Distill Gold from Massive Ores: Bi-level Data Pruning towards Efficient Dataset Distillation

ECCV 2024arXiv

citations

Fast Instrument Learning with Faster Rates

NEURIPS 2022arXiv

citations

Unsupervised Disentanglement of Content and Style via Variance-Invariance Constraints

ICLR 2025arXiv

citations

Efficient Fine-Grained Guidance for Diffusion Model Based Symbolic Music Generation

ICML 2025arXiv

citations

Unifying Symbolic Music Arrangement: Track-Aware Reconstruction and Structured Tokenization

NEURIPS 2025arXiv

citations

Scalable Quasi-Bayesian Inference for Instrumental Variable Regression

NEURIPS 2021

citations

On Probabilistic Truncation in Privacy-preserving Machine Learning

AAAI 2025

citations

Ziyu Wang

papers (19)

Kubric: A Scalable Dataset Generator

Critic Regularized Regression

Neural Residual Radiance Fields for Streamably Free-Viewpoint Videos

RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning

SWEM: Towards Real-Time Video Object Segmentation With Sequential Weighted Expectation-Maximization

Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective

Further Analysis of Outlier Detection with Deep Generative Models

HumanGen: Generating Human Radiance Fields With Explicit Priors

Whole-Song Hierarchical Generation of Symbolic Music Using Cascaded Diffusion Models

Dancing with Still Images: Video Distillation via Static-Dynamic Disentanglement

Object-centric Learning with Cyclic Walks between Parts and Whole

Synthetic Video Enhances Physical Fidelity in Video Synthesis

Distill Gold from Massive Ores: Bi-level Data Pruning towards Efficient Dataset Distillation

Fast Instrument Learning with Faster Rates

Unsupervised Disentanglement of Content and Style via Variance-Invariance Constraints

Efficient Fine-Grained Guidance for Diffusion Model Based Symbolic Music Generation

Unifying Symbolic Music Arrangement: Track-Aware Reconstruction and Structured Tokenization

Scalable Quasi-Bayesian Inference for Instrumental Variable Regression

On Probabilistic Truncation in Privacy-preserving Machine Learning

papers (19)

Kubric: A Scalable Dataset Generator

Critic Regularized Regression

Neural Residual Radiance Fields for Streamably Free-Viewpoint Videos

RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning

SWEM: Towards Real-Time Video Object Segmentation With Sequential Weighted Expectation-Maximization

Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective

Further Analysis of Outlier Detection with Deep Generative Models

HumanGen: Generating Human Radiance Fields With Explicit Priors

Whole-Song Hierarchical Generation of Symbolic Music Using Cascaded Diffusion Models

Dancing with Still Images: Video Distillation via Static-Dynamic Disentanglement

Object-centric Learning with Cyclic Walks between Parts and Whole

Synthetic Video Enhances Physical Fidelity in Video Synthesis

Distill Gold from Massive Ores: Bi-level Data Pruning towards Efficient Dataset Distillation

Fast Instrument Learning with Faster Rates

Unsupervised Disentanglement of Content and Style via Variance-Invariance Constraints

Efficient Fine-Grained Guidance for Diffusion Model Based Symbolic Music Generation

Unifying Symbolic Music Arrangement: Track-Aware Reconstruction and Structured Tokenization

Scalable Quasi-Bayesian Inference for Instrumental Variable Regression

On Probabilistic Truncation in Privacy-preserving Machine Learning