Yu Chen

papers

913

total citations

papers (19)

Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings

NEURIPS 2020arXiv

478

citations

Multi-Scale 3D Gaussian Splatting for Anti-Aliased Rendering

CVPR 2024arXiv

159

citations

DBARF: Deep Bundle-Adjusting Generalizable Neural Radiance Fields

CVPR 2023arXiv

citations

Efficient Deep Visual and Inertial Odometry with Adaptive Visual Modality Selection

ECCV 2022arXiv

citations

Generic Perceptual Loss for Modeling Structured Output Dependencies

CVPR 2021arXiv

citations

Hybrid Rotation Averaging: A Fast and Robust Rotation Averaging Approach

CVPR 2021arXiv

citations

MMVC: Learned Multi-Mode Video Compression With Block-Based Prediction Mode Selection and Density-Adaptive Entropy Coding

CVPR 2023arXiv

citations

DReg-NeRF: Deep Registration for Neural Radiance Fields

ICCV 2023arXiv

citations

ATLAS: Autoformalizing Theorems through Lifting, Augmentation, and Synthesis of Data

NEURIPS 2025arXiv

citations

Image Quality Assessment: Investigating Causal Perceptual Effects with Abductive Counterfactual Inference

CVPR 2025arXiv

citations

Variational Schrödinger Diffusion Models

ICML 2024arXiv

citations

uniINF: Best-of-Both-Worlds Algorithm for Parameter-Free Heavy-Tailed MABs

ICLR 2025arXiv

citations

Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation

ICML 2024arXiv

citations

A Pioneering Neural Network Method for Efficient and Robust Fuel Sloshing Simulation in Aircraft

AAAI 2025

citations

Provably Efficient Partially Observable Risk-sensitive Reinforcement Learning with Hindsight Observation

ICML 2024arXiv

citations

Yu Chen

papers (19)

Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings

Multi-Scale 3D Gaussian Splatting for Anti-Aliased Rendering

DBARF: Deep Bundle-Adjusting Generalizable Neural Radiance Fields

Efficient Deep Visual and Inertial Odometry with Adaptive Visual Modality Selection

Generic Perceptual Loss for Modeling Structured Output Dependencies

Hybrid Rotation Averaging: A Fast and Robust Rotation Averaging Approach

MMVC: Learned Multi-Mode Video Compression With Block-Based Prediction Mode Selection and Density-Adaptive Entropy Coding

DReg-NeRF: Deep Registration for Neural Radiance Fields

ATLAS: Autoformalizing Theorems through Lifting, Augmentation, and Synthesis of Data

Image Quality Assessment: Investigating Causal Perceptual Effects with Abductive Counterfactual Inference

Variational Schrödinger Diffusion Models

uniINF: Best-of-Both-Worlds Algorithm for Parameter-Free Heavy-Tailed MABs

Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation

A Pioneering Neural Network Method for Efficient and Robust Fuel Sloshing Simulation in Aircraft

Finite-Time Analysis of Discrete-Time Stochastic Interpolants

Multi-Constellation-Inspired Single-Shot Global LiDAR Localization

Deep Learning in Latent Space for Video Prediction and Compression

Scaling and Taming Adversarial Training with Synthetic Data

Provably Efficient Partially Observable Risk-sensitive Reinforcement Learning with Hindsight Observation

papers (19)

Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings

Multi-Scale 3D Gaussian Splatting for Anti-Aliased Rendering

DBARF: Deep Bundle-Adjusting Generalizable Neural Radiance Fields

Efficient Deep Visual and Inertial Odometry with Adaptive Visual Modality Selection

Generic Perceptual Loss for Modeling Structured Output Dependencies

Hybrid Rotation Averaging: A Fast and Robust Rotation Averaging Approach

MMVC: Learned Multi-Mode Video Compression With Block-Based Prediction Mode Selection and Density-Adaptive Entropy Coding

DReg-NeRF: Deep Registration for Neural Radiance Fields

ATLAS: Autoformalizing Theorems through Lifting, Augmentation, and Synthesis of Data

Image Quality Assessment: Investigating Causal Perceptual Effects with Abductive Counterfactual Inference

Variational Schrödinger Diffusion Models

uniINF: Best-of-Both-Worlds Algorithm for Parameter-Free Heavy-Tailed MABs

Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation

A Pioneering Neural Network Method for Efficient and Robust Fuel Sloshing Simulation in Aircraft

Finite-Time Analysis of Discrete-Time Stochastic Interpolants

Multi-Constellation-Inspired Single-Shot Global LiDAR Localization

Deep Learning in Latent Space for Video Prediction and Compression

Scaling and Taming Adversarial Training with Synthetic Data

Provably Efficient Partially Observable Risk-sensitive Reinforcement Learning with Hindsight Observation