Chang Liu

According to our database, Chang Liu authored at least 20 papers between 2017 and 2023.

Collaborative distances:

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

2023

Rethinking Neighborhood Consistency Learning on Unsupervised Domain Adaptation.

Chang Liu, Lichen Wang, Yun Fu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Discovering Informative and Robust Positives for Video Domain Adaptation.

Chang Liu, Kunpeng Li, Michael Stopa, Jun Amano, Yun Fu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Image as Set of Points.

Xu Ma, Yuqian Zhou, Huan Wang, Can Qin, Bin Sun, Chang Liu, Yun Fu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Frame Flexible Network.

Yitian Zhang, Yue Bai, Chang Liu, Huan Wang, Sheng Li, Yun Fu

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

2022

Shake and Take: Fast Transformation of an Origami Gripper.

Chang Liu, Samuel J. Wohlever, Maria B. Ou, Taskin Padir, Samuel M. Felton

IEEE Trans. Robotics, 2022

Guided Graph Attention Learning for Video-Text Matching.

Kunpeng Li, Chang Liu, Michael Stopa, Jun Amano, Yun Fu

ACM Trans. Multim. Comput. Commun. Appl., 2022

Meta Adversarial Weight for Unsupervised Domain Adaptation.

Chang Liu, Lichen Wang, Yun Fu

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Test-time Fourier Style Calibration for Domain Generalization.

Xingchen Zhao, Chang Liu, Anthony Sicilia, Seong Jae Hwang, Yun Fu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Learning to Learn across Diverse Data Biases in Deep Face Recognition.

Chang Liu, Xiang Yu, Yi-Hsuan Tsai, Masoud Faraki, Ramin Moslemi, Manmohan Chandraker, Yun Fu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

A holey cavity for single-transducer 3D ultrasound imaging with physical optimization.

Ashkan Ghanbarzadeh Dagheyan, Juan Heredia Juesas, Chang Liu, Ali Molaei, José Ángel Martínez Lorenzo, Bijan Vosoughi Vahdat, Mohammad Taghi Ahmadian

Signal Process., 2021

Semi-Supervised Domain Adaptation with Prototypical Alignment and Consistency Learning.

Kai Li, Chang Liu, Handong Zhao, Yulun Zhang, Yun Fu

CoRR, 2021

Domain Generalization via Feature Variation Decorrelation.

Chang Liu, Lichen Wang, Kai Li, Yun Fu

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation.

Kai Li, Chang Liu, Handong Zhao, Yulun Zhang, Yun Fu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Mechanically Programmed Miniature Origami Grippers.

Alec Orlofsky, Chang Liu, Soroush Kamrava, Ashkan Vaziri, Samuel M. Felton

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

HyperSTAR: Task-Aware Hyperparameters for Deep Networks.

Gaurav Mittal, Chang Liu, Nikolaos Karianakis, Victor Fragoso, Mei Chen, Yun Fu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

A Self-Folding Pneumatic Piston for Mechanically Robust Origami Robots.

Chang Liu, Alec Orlofsky, Christa D. Kitcher, Samuel M. Felton

IEEE Robotics Autom. Lett., 2019

2018

Holey-Cavity-Based Compressive Sensing for Ultrasound Imaging.

Ashkan Ghanbarzadeh Dagheyan, Chang Liu, Ali Molaei, Juan Heredia Juesas, José Ángel Martínez Lorenzo

Sensors, 2018

Minimally Actuated Transformation of Origami Machines.

Fabio Zuliani, Chang Liu, Jamie Paik, Samuel M. Felton

IEEE Robotics Autom. Lett., 2018

Origami Inspired Reconfigurable Antenna for Wireless Communication Systems.

Ali Molaei, Chang Liu, Samuel M. Felton, José Ángel Martínez Lorenzo

CoRR, 2018

2017

A self-folding robot arm for load-bearing operations.

Chang Liu, Samuel M. Felton

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017