Research and Publications

Cybernaut: Towards Reliable Web Automation

Hengyue Liang, et al.
Accepted to KDD 2025 Workshop

A Baseline Method for Removing Invisible Image Watermarks using Deep Image Prior

Hengyue Liang, et al.
Accepted to Transactions on Machine Learning Research (TMLR), 2025

Selective Classification Under Distribution Shifts

Hengyue Liang, Le Peng, Ju Sun
Accepted to Transactions on Machine Learning Research (TMLR), 2024

Rethinking Transfer Learning for Medical Image Classification

Le Peng, Hengyue Liang, Taihui Li, Ju Sun
Accepted to British Machine Vision Conference (BMVC), 2023 (Oral)

Automated Quantification of Eye Tics using Computer Vision and Deep Learning Techniques

Christine Conelea, Hengyue Liang, Megan DuBois, Brittany Raab, Mia Kellman, Brianna Wellen, Suma Jacob, Sonya Wang, Ju Sun and Kelvin Lim
Under review for “Movement Disorders”, the official Journal of Movement Disorder Society (MDS), MDS-23-0240.R1

Optimization and Optimizers for Adversarial Robustness

Hengyue Liang, Buyun Liang, Le Peng, Ying Cui, Tim Mitchell, Ju Sun
In preparation for “International Journal of Computer Vision” (IJCV)

Implications of Solution Patterns on Adversarial Robustness

Hengyue Liang, Buyun Liang, Ying Cui, Tim Mitchell, Ju Sun
Accepted to “Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition” (CVPR 2023, workshop of adversarial machine learning)

Optimization for Robustness Evaluation beyond ℓp Metrics

Hengyue Liang, Buyun Liang, Ying Cui, Tim Mitchell, Ju Sun
Accepted to “2023 IEEE International Conference on Acoustics, Speech, and Signal Processing” (ICASSP)

Early Stopping for Deep Image Prior

Hengkang Wang, Taihui Li, Zhong Zhuang, Tiancong Chen, Hengyue Liang, Ju Sun
Accepted to Transactions on Machine Learning Research (TMLR), 2023

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

Taihui Li, Zhong Zhuang, Hengyue Liang, Le Peng, Hengkang Wang, Ju Sun
Accepted to British Machine Vision Conference (BMVC) 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
Accepted to IEEE International Conference on Robotics and Automation (ICRA) 2021, Xi'an

Attribute-Based Robotic Grasping with One-Grasp Adaptation

Yang Yang, Yuanhao Liu, Hengyue Liang, Xibai Lou and Changhyun Choi
Accepted to IEEE International Conference on Robotics and Automation (ICRA) 2021, Xi'an

A Deep Learning Approach to Grasping the Invisible

Yang Yang, Hengyue Liang and Changhyun Choi
Accepted to IEEE Robotics and Automation Letters (RA-L) 2020

Last edited on April 26^th 2026 07:34PM (Time Zone: PDT).
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