Feng Chen

Affiliations

Stanford University

papers

995

total citations

papers (25)

RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation

ICML 2024arXiv

188

citations

Uncertainty Aware Semi-Supervised Learning on Graph Data

NEURIPS 2020arXiv

162

citations

Interacting Attention Graph for Single Image Two-Hand Reconstruction

CVPR 2022arXiv

136

citations

Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression

NEURIPS 2023arXiv

132

citations

RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning

NEURIPS 2021arXiv

102

citations

Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning

NEURIPS 2020arXiv

100

citations

Learning to Branch with Tree MDPs

NEURIPS 2022arXiv

citations

Stochastic Collapse: How Gradient Noise Attracts SGD Dynamics Towards Simpler Subnetworks

NEURIPS 2023arXiv

citations

Neighboring Autoregressive Modeling for Efficient Visual Generation

ICCV 2025arXiv

citations

Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize

ICML 2024arXiv

citations

Uncertainty-aware Graph-based Hyperspectral Image Classification

ICLR 2024

citations

Training-free Dense-Aligned Diffusion Guidance for Modular Conditional Image Synthesis

CVPR 2025arXiv

citations

DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics

NEURIPS 2023arXiv

citations

Improvements on Uncertainty Quantification for Node Classification via Distance Based Regularization

NEURIPS 2023arXiv

citations

EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving

NEURIPS 2025arXiv

citations

Predictive Uncertainty Quantification for Bird's Eye View Segmentation: A Benchmark and Novel Loss Function

ICLR 2025arXiv

citations

OURO: A Self-Bootstrapped Framework for Enhancing Multimodal Scene Understanding

ICCV 2025

citations

SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided Search

NEURIPS 2025arXiv

citations

GRICP: Granular-Ball Iterative Closest Point with Multikernel Correntropy for Point Cloud Fine Registration

AAAI 2025

citations

ACT as Human: Multimodal Large Language Model Data Annotation with Critical Thinking

NEURIPS 2025arXiv

citations

Uncertainty-guided Learning for Improving Image Manipulation Detection

ICCV 2023

citations

Feng Chen

Affiliations

papers (25)

RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation

Uncertainty Aware Semi-Supervised Learning on Graph Data

Interacting Attention Graph for Single Image Two-Hand Reconstruction

Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression

RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning

Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning

Learning to Branch with Tree MDPs

Stochastic Collapse: How Gradient Noise Attracts SGD Dynamics Towards Simpler Subnetworks

Neighboring Autoregressive Modeling for Efficient Visual Generation

Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize

Uncertainty-aware Graph-based Hyperspectral Image Classification

Training-free Dense-Aligned Diffusion Guidance for Modular Conditional Image Synthesis

DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics

Improvements on Uncertainty Quantification for Node Classification via Distance Based Regularization

EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving

Predictive Uncertainty Quantification for Bird's Eye View Segmentation: A Benchmark and Novel Loss Function

OURO: A Self-Bootstrapped Framework for Enhancing Multimodal Scene Understanding

SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided Search

GRICP: Granular-Ball Iterative Closest Point with Multikernel Correntropy for Point Cloud Fine Registration

ZipVL: Accelerating Vision-Language Models through Dynamic Token Sparsity

Efficient Multi-agent Communication via Self-supervised Information Aggregation

Learning to Reuse Policies in State Evolvable Environments

Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning

ACT as Human: Multimodal Large Language Model Data Annotation with Critical Thinking

Uncertainty-guided Learning for Improving Image Manipulation Detection

papers (25)

RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation

Uncertainty Aware Semi-Supervised Learning on Graph Data

Interacting Attention Graph for Single Image Two-Hand Reconstruction

Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression

RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning

Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning

Learning to Branch with Tree MDPs

Stochastic Collapse: How Gradient Noise Attracts SGD Dynamics Towards Simpler Subnetworks

Neighboring Autoregressive Modeling for Efficient Visual Generation

Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize

Uncertainty-aware Graph-based Hyperspectral Image Classification

Training-free Dense-Aligned Diffusion Guidance for Modular Conditional Image Synthesis

DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics

Improvements on Uncertainty Quantification for Node Classification via Distance Based Regularization

EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving

Predictive Uncertainty Quantification for Bird's Eye View Segmentation: A Benchmark and Novel Loss Function

OURO: A Self-Bootstrapped Framework for Enhancing Multimodal Scene Understanding

SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided Search

GRICP: Granular-Ball Iterative Closest Point with Multikernel Correntropy for Point Cloud Fine Registration

ZipVL: Accelerating Vision-Language Models through Dynamic Token Sparsity

Efficient Multi-agent Communication via Self-supervised Information Aggregation

Learning to Reuse Policies in State Evolvable Environments

Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning

ACT as Human: Multimodal Large Language Model Data Annotation with Critical Thinking

Uncertainty-guided Learning for Improving Image Manipulation Detection