Ting Chen

papers

7,005

total citations

papers (19)

Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation

NEURIPS 2022arXiv

citations

The Origins and Prevalence of Texture Bias in Convolutional Neural Networks

NEURIPS 2020arXiv

citations

Denoising Autoregressive Representation Learning

ICML 2024arXiv

citations

CoPRA: Bridging Cross-domain Pretrained Sequence Models with Complex Structures for Protein-RNA Binding Affinity Prediction

AAAI 2025arXiv

citations

Perceptual Group Tokenizer: Building Perception with Iterative Grouping

ICLR 2024arXiv

citations

Improving Contrastive Learning on Imbalanced Data via Open-World Sampling

NEURIPS 2021

citations

Multi-axis Prompt and Multi-dimension Fusion Network for All-in-one Weather-degraded Image Restoration

AAAI 2025

citations

Brain-Inspired Spiking Neural Networks for Energy-Efficient Object Detection

CVPR 2025

citations

HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multi-task Learning

AAAI 2025

citations

Ting Chen

papers (19)

Graph Contrastive Learning with Augmentations

Big Self-Supervised Models are Strong Semi-Supervised Learners

Big Self-Supervised Models Advance Medical Image Classification

Robust Pre-Training by Adversarial Contrastive Learning

DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection

Intriguing Properties of Contrastive Losses

A Unified Sequence Interface for Vision Tasks

A Generalist Framework for Panoptic Segmentation of Images and Videos

Improved Transformer for High-Resolution GANs

Why Do Better Loss Functions Lead to Less Transferable Features?

Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation

The Origins and Prevalence of Texture Bias in Convolutional Neural Networks

Denoising Autoregressive Representation Learning

CoPRA: Bridging Cross-domain Pretrained Sequence Models with Complex Structures for Protein-RNA Binding Affinity Prediction

Perceptual Group Tokenizer: Building Perception with Iterative Grouping

Improving Contrastive Learning on Imbalanced Data via Open-World Sampling

Multi-axis Prompt and Multi-dimension Fusion Network for All-in-one Weather-degraded Image Restoration

Brain-Inspired Spiking Neural Networks for Energy-Efficient Object Detection

HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multi-task Learning

papers (19)

Graph Contrastive Learning with Augmentations

Big Self-Supervised Models are Strong Semi-Supervised Learners

Big Self-Supervised Models Advance Medical Image Classification

Robust Pre-Training by Adversarial Contrastive Learning

DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection

Intriguing Properties of Contrastive Losses

A Unified Sequence Interface for Vision Tasks

A Generalist Framework for Panoptic Segmentation of Images and Videos

Improved Transformer for High-Resolution GANs

Why Do Better Loss Functions Lead to Less Transferable Features?

Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation

The Origins and Prevalence of Texture Bias in Convolutional Neural Networks

Denoising Autoregressive Representation Learning

CoPRA: Bridging Cross-domain Pretrained Sequence Models with Complex Structures for Protein-RNA Binding Affinity Prediction

Perceptual Group Tokenizer: Building Perception with Iterative Grouping

Improving Contrastive Learning on Imbalanced Data via Open-World Sampling

Multi-axis Prompt and Multi-dimension Fusion Network for All-in-one Weather-degraded Image Restoration

Brain-Inspired Spiking Neural Networks for Energy-Efficient Object Detection

HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multi-task Learning