Ce Zhang

Affiliations

Carnegie Mellon UniversityETH ZurichUNC Chapel Hill

papers

1,482

total citations

papers (26)

Skill-it! A data-driven skills framework for understanding and training language models

NEURIPS 2023arXiv

citations

AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?

ICLR 2024arXiv

citations

Mechanistic Design and Scaling of Hybrid Architectures

ICML 2024arXiv

citations

Concept-Guided Prompt Learning for Generalization in Vision-Language Models

AAAI 2024arXiv

citations

Which Model To Transfer? Finding the Needle in the Growing Haystack

CVPR 2022arXiv

citations

Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation

CVPR 2023arXiv

citations

Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions

NEURIPS 2023arXiv

citations

HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation

CVPR 2024arXiv

citations

Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification?

CVPR 2021arXiv

citations

Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models

ICLR 2025arXiv

citations

Certifying Some Distributional Fairness with Subpopulation Decomposition

NEURIPS 2022arXiv

citations

Self-Correctable and Adaptable Inference for Generalizable Human Pose Estimation

CVPR 2023arXiv

citations

On Convergence of Nearest Neighbor Classifiers over Feature Transformations

NEURIPS 2020arXiv

citations

Improving Certified Robustness via Statistical Learning with Logical Reasoning

NEURIPS 2022arXiv

citations

Goal-Conditioned Predictive Coding for Offline Reinforcement Learning

NEURIPS 2023arXiv

citations

BASKET: A Large-Scale Video Dataset for Fine-Grained Skill Estimation

CVPR 2025arXiv

citations

Speculative Prefill: Turbocharging TTFT with Lightweight and Training-Free Token Importance Estimation

ICML 2025arXiv

citations

ONLY: One-Layer Intervention Sufficiently Mitigates Hallucinations in Large Vision-Language Models

ICCV 2025arXiv

citations

WordScape: a Pipeline to extract multilingual, visually rich Documents with Layout Annotations from Web Crawl Data

NEURIPS 2023arXiv

citations

Learning to Mutate with Hypergradient Guided Population

NEURIPS 2020

citations

VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely?

NEURIPS 2022

citations

TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness

NEURIPS 2021

citations

Fine-tuning Language Models over Slow Networks using Activation Quantization with Guarantees

NEURIPS 2022

citations

Ce Zhang

Affiliations

papers (26)

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

DataPerf: Benchmarks for Data-Centric AI Development

Decentralized Training of Foundation Models in Heterogeneous Environments

Skill-it! A data-driven skills framework for understanding and training language models

AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?

Mechanistic Design and Scaling of Hybrid Architectures

Concept-Guided Prompt Learning for Generalization in Vision-Language Models

Which Model To Transfer? Finding the Needle in the Growing Haystack

Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation

Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions

HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation

Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification?

Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models

Certifying Some Distributional Fairness with Subpopulation Decomposition

Self-Correctable and Adaptable Inference for Generalizable Human Pose Estimation

On Convergence of Nearest Neighbor Classifiers over Feature Transformations

Improving Certified Robustness via Statistical Learning with Logical Reasoning

Goal-Conditioned Predictive Coding for Offline Reinforcement Learning

BASKET: A Large-Scale Video Dataset for Fine-Grained Skill Estimation

Speculative Prefill: Turbocharging TTFT with Lightweight and Training-Free Token Importance Estimation

ONLY: One-Layer Intervention Sufficiently Mitigates Hallucinations in Large Vision-Language Models

WordScape: a Pipeline to extract multilingual, visually rich Documents with Layout Annotations from Web Crawl Data

Learning to Mutate with Hypergradient Guided Population

VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely?

TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness

Fine-tuning Language Models over Slow Networks using Activation Quantization with Guarantees

papers (26)

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

DataPerf: Benchmarks for Data-Centric AI Development

Decentralized Training of Foundation Models in Heterogeneous Environments

Skill-it! A data-driven skills framework for understanding and training language models

AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?

Mechanistic Design and Scaling of Hybrid Architectures

Concept-Guided Prompt Learning for Generalization in Vision-Language Models

Which Model To Transfer? Finding the Needle in the Growing Haystack

Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation

Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions

HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation

Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification?

Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models

Certifying Some Distributional Fairness with Subpopulation Decomposition

Self-Correctable and Adaptable Inference for Generalizable Human Pose Estimation

On Convergence of Nearest Neighbor Classifiers over Feature Transformations

Improving Certified Robustness via Statistical Learning with Logical Reasoning

Goal-Conditioned Predictive Coding for Offline Reinforcement Learning

BASKET: A Large-Scale Video Dataset for Fine-Grained Skill Estimation

Speculative Prefill: Turbocharging TTFT with Lightweight and Training-Free Token Importance Estimation

ONLY: One-Layer Intervention Sufficiently Mitigates Hallucinations in Large Vision-Language Models

WordScape: a Pipeline to extract multilingual, visually rich Documents with Layout Annotations from Web Crawl Data

Learning to Mutate with Hypergradient Guided Population

VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely?

TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness

Fine-tuning Language Models over Slow Networks using Activation Quantization with Guarantees