Yibing Zhan

papers

844

total citations

papers (24)

Learning Affinity From Attention: End-to-End Weakly-Supervised Semantic Segmentation With Transformers

CVPR 2022arXiv

248

citations

Pose-Disentangled Contrastive Learning for Self-Supervised Facial Representation

CVPR 2023arXiv

citations

Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases

ICML 2024arXiv

citations

Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection

ECCV 2022arXiv

citations

Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning

AAAI 2025arXiv

citations

Multi-Step Denoising Scheduled Sampling: Towards Alleviating Exposure Bias for Diffusion Models

AAAI 2024

citations

Beyond Human Data: Aligning Multimodal Large Language Models by Iterative Self-Evolution

AAAI 2025arXiv

citations

AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification

AAAI 2025arXiv

citations

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection

ICCV 2025arXiv

citations

End-to-End HOI Reconstruction Transformer with Graph-based Encoding

CVPR 2025arXiv

citations

Modeling All Response Surfaces in One for Conditional Search Spaces

AAAI 2025arXiv

citations

Not All Operations Contribute Equally: Hierarchical Operation-Adaptive Predictor for Neural Architecture Search

ICCV 2021

citations

TD²-Net: Toward Denoising and Debiasing for Video Scene Graph Generation

AAAI 2024

citations

Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples

ICCV 2023

citations

A Dual-module Framework for Counterfactual Estimation over Time

ICML 2024

citations

Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning

NEURIPS 2022

citations

Pluralistic Image Completion with Gaussian Mixture Models

NEURIPS 2022

citations

Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels

NEURIPS 2021

citations

Yibing Zhan

papers (24)

Learning Affinity From Attention: End-to-End Weakly-Supervised Semantic Segmentation With Transformers

Token Contrast for Weakly-Supervised Semantic Segmentation

Contrastive Boundary Learning for Point Cloud Segmentation

Harnessing the Power of MLLMs for Transferable Text-to-Image Person ReID

Learning Graph Neural Networks for Image Style Transfer

HL-Net: Heterophily Learning Network for Scene Graph Generation

RU-Net: Regularized Unrolling Network for Scene Graph Generation

Pose-Disentangled Contrastive Learning for Self-Supervised Facial Representation

Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases

Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection

Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning

Multi-Step Denoising Scheduled Sampling: Towards Alleviating Exposure Bias for Diffusion Models

Beyond Human Data: Aligning Multimodal Large Language Models by Iterative Self-Evolution

AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection

End-to-End HOI Reconstruction Transformer with Graph-based Encoding

Modeling All Response Surfaces in One for Conditional Search Spaces

Not All Operations Contribute Equally: Hierarchical Operation-Adaptive Predictor for Neural Architecture Search

TD²-Net: Toward Denoising and Debiasing for Video Scene Graph Generation

Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples

A Dual-module Framework for Counterfactual Estimation over Time

Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning

Pluralistic Image Completion with Gaussian Mixture Models

Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels

papers (24)

Learning Affinity From Attention: End-to-End Weakly-Supervised Semantic Segmentation With Transformers

Token Contrast for Weakly-Supervised Semantic Segmentation

Contrastive Boundary Learning for Point Cloud Segmentation

Harnessing the Power of MLLMs for Transferable Text-to-Image Person ReID

Learning Graph Neural Networks for Image Style Transfer

HL-Net: Heterophily Learning Network for Scene Graph Generation

RU-Net: Regularized Unrolling Network for Scene Graph Generation

Pose-Disentangled Contrastive Learning for Self-Supervised Facial Representation

Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases

Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection

Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning

Multi-Step Denoising Scheduled Sampling: Towards Alleviating Exposure Bias for Diffusion Models

Beyond Human Data: Aligning Multimodal Large Language Models by Iterative Self-Evolution

AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection

End-to-End HOI Reconstruction Transformer with Graph-based Encoding

Modeling All Response Surfaces in One for Conditional Search Spaces

Not All Operations Contribute Equally: Hierarchical Operation-Adaptive Predictor for Neural Architecture Search

TD²-Net: Toward Denoising and Debiasing for Video Scene Graph Generation

Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples

A Dual-module Framework for Counterfactual Estimation over Time

Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning

Pluralistic Image Completion with Gaussian Mixture Models

Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels