Bo Yuan

papers

665

total citations

papers (13)

Towards Playing Full MOBA Games with Deep Reinforcement Learning

NEURIPS 2020arXiv

206

citations

CHIP: CHannel Independence-based Pruning for Compact Neural Networks

NEURIPS 2021arXiv

168

citations

Towards Efficient Tensor Decomposition-Based DNN Model Compression With Optimization Framework

CVPR 2021arXiv

citations

Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning

NEURIPS 2022arXiv

citations

Towards Extremely Compact RNNs for Video Recognition With Fully Decomposed Hierarchical Tucker Structure

CVPR 2021arXiv

citations

Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation

ICCV 2023arXiv

citations

TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model

CVPR 2025arXiv

citations

RIATIG: Reliable and Imperceptible Adversarial Text-to-Image Generation With Natural Prompts

CVPR 2023

citations

PuppeteerGAN: Arbitrary Portrait Animation With Semantic-Aware Appearance Transformation

CVPR 2020

citations

HODEC: Towards Efficient High-Order DEcomposed Convolutional Neural Networks

CVPR 2022

citations

Bo Yuan

papers (13)

Towards Playing Full MOBA Games with Deep Reinforcement Learning

CHIP: CHannel Independence-based Pruning for Compact Neural Networks

Towards Efficient Tensor Decomposition-Based DNN Model Compression With Optimization Framework

Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning

Towards Extremely Compact RNNs for Video Recognition With Fully Decomposed Hierarchical Tucker Structure

Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation

TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model

RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN

COAP: Memory-Efficient Training with Correlation-Aware Gradient Projection

GraphMP: Graph Neural Network-based Motion Planning with Efficient Graph Search

RIATIG: Reliable and Imperceptible Adversarial Text-to-Image Generation With Natural Prompts

PuppeteerGAN: Arbitrary Portrait Animation With Semantic-Aware Appearance Transformation

HODEC: Towards Efficient High-Order DEcomposed Convolutional Neural Networks

papers (13)

Towards Playing Full MOBA Games with Deep Reinforcement Learning

CHIP: CHannel Independence-based Pruning for Compact Neural Networks

Towards Efficient Tensor Decomposition-Based DNN Model Compression With Optimization Framework

Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning

Towards Extremely Compact RNNs for Video Recognition With Fully Decomposed Hierarchical Tucker Structure

Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation

TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model

RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN

COAP: Memory-Efficient Training with Correlation-Aware Gradient Projection

GraphMP: Graph Neural Network-based Motion Planning with Efficient Graph Search

RIATIG: Reliable and Imperceptible Adversarial Text-to-Image Generation With Natural Prompts

PuppeteerGAN: Arbitrary Portrait Animation With Semantic-Aware Appearance Transformation

HODEC: Towards Efficient High-Order DEcomposed Convolutional Neural Networks