Hengyue Liang

According to our database, Hengyue Liang authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Selective Classification Under Distribution Shifts.

Hengyue Liang, Le Peng, Ju Sun

CoRR, 2024

2023

Early Stopping for Deep Image Prior.

Hengkang Wang, Taihui Li, Zhong Zhuang, Tiancong Chen, Hengyue Liang, Ju Sun

Trans. Mach. Learn. Res., 2023

Optimization and Optimizers for Adversarial Robustness.

Hengyue Liang, Buyun Liang, Le Peng, Ying Cui, Tim Mitchell, Ju Sun

CoRR, 2023

Optimization for Robustness Evaluation Beyond ℓp Metrics.

Hengyue Liang, Buyun Liang, Ying Cui, Tim Mitchell, Ju Sun

Proceedings of the IEEE International Conference on Acoustics, 2023

Implications of Solution Patterns on Adversarial Robustness.

Hengyue Liang, Buyun Liang, Ju Sun, Ying Cui, Tim Mitchell

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Rethinking Transfer Learning for Medical Image Classification.

Le Peng, Hengyue Liang, Gaoxiang Luo, Taihui Li, Ju Sun

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Optimization for Robustness Evaluation beyond 𝓁_p Metrics.

Hengyue Liang, Buyun Liang, Ying Cui, Tim Mitchell, Ju Sun

CoRR, 2022

2021

Rethink Transfer Learning in Medical Image Classification.

Le Peng, Hengyue Liang, Taihui Li, Ju Sun

CoRR, 2021

Learning Visual Affordances with Target-Orientated Deep Q-Network to Grasp Objects by Harnessing Environmental Fixtures.

Hengyue Liang, Xibai Lou, Yang Yang, Changhyun Choi

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Attribute-Based Robotic Grasping with One-Grasp Adaptation.

Yang Yang, Yuanhao Liu, Hengyue Liang, Xibai Lou, Changhyun Choi

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Self-Validation: Early Stopping for Single-Instance Deep Generative Priors.

Taihui Li, Zhong Zhuang, Hengyue Liang, Le Peng, Hengkang Wang, Ju Sun

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

A Deep Learning Approach to Grasping the Invisible.

Yang Yang, Hengyue Liang, Changhyun Choi

IEEE Robotics Autom. Lett., 2020

2019

Knowledge Induced Deep Q-Network for a Slide-to-Wall Object Grasping.

Hengyue Liang, Xibai Lou, Changhyun Choi

CoRR, 2019