Chang'an Yi

According to our database, Chang'an Yi authored at least 23 papers between 2011 and 2024.

Collaborative distances:

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

2024

TADA: Temporal-aware Adversarial Domain Adaptation for patient outcomes forecasting.

Chang'an Yi, Haotian Chen, Yonghui Xu, Yan Zhou, Juan Du, Lizhen Cui, Haishu Tan

Expert Syst. Appl., March, 2024

GaFL: Geometric-aware Feature Learning for universal 3D models recognition.

Yan Zhou, Huajie Sun, Huaidong Zhang, Xuemiao Xu, Chang'an Yi, Dewang Ye, Yuexia Zhou, Xiangyu Liu

Pattern Recognit., 2024

From Question to Exploration: Can Classic Test-Time Adaptation Strategies Be Effectively Applied in Semantic Segmentation?

Chang'an Yi, Haotian Chen, Yifan Zhang, Yonghui Xu, Yan Zhou, Lizhen Cui

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

Multicomponent Adversarial Domain Adaptation: A General Framework.

Chang'an Yi, Haotian Chen, Yonghui Xu, Huanhuan Chen, Yong Liu, Haishu Tan, Yuguang Yan, Han Yu

IEEE Trans. Neural Networks Learn. Syst., October, 2023

A Critical Look at Classic Test-Time Adaptation Methods in Semantic Segmentation.

Chang'an Yi, Haotian Chen, Yifan Zhang, Yonghui Xu, Lizhen Cui

CoRR, 2023

Model-Contrastive Federated Domain Adaptation.

Chang'an Yi, Haotian Chen, Yonghui Xu, Yifan Zhang

CoRR, 2023

2022

Time-Aware Graph Embedding: A Temporal Smoothness and Task-Oriented Approach.

Yonghui Xu, Shengjie Sun, Huiguo Zhang, Chang'an Yi, Yuan Miao, Dong Yang, Xiaonan Meng, Yi Hu, Ke Wang, Huaqing Min, Hengjie Song, Chuanyan Miao

ACM Trans. Knowl. Discov. Data, 2022

ATPL: Mutually enhanced adversarial training and pseudo labeling for unsupervised domain adaptation.

Chang'an Yi, Haotian Chen, Yonghui Xu, Yong Liu, Lei Jiang, Haishu Tan

Knowl. Based Syst., 2022

2021

Deep level set learning for optic disc and cup segmentation.

Pengshuai Yin, Yanwu Xu, Jinhui Zhu, Jiang Liu, Chang'an Yi, Huichou Huang, Qingyao Wu

Neurocomputing, 2021

2020

Multi-component transfer metric learning for handling unrelated source domain samples.

Chang'an Yi, Yonghui Xu, Han Yu, Yuguang Yan, Yang Liu

Knowl. Based Syst., 2020

2018

A Novel Transfer Metric Learning Approach Based on Multi-Group.

Chang'an Yi, Yonghui Xu, Bo Xu, Jingtang Zhong, Zhen Zhu, Pengshuai Yin, Huaqing Min

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018

2017

A novel method to improve transfer learning based on mahalanobis distance.

Chang'an Yi, Jiangjie Zhen, Yang Li, Yang Yi, Pengshuai Yin, Huaqing Min

Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics, 2017

Affordance triggering for arbitrary states based on robot exploring.

Chang'an Yi, Guofei Zheng, Sheng Bi, Ronghua Luo, Pengshuai Yin, Xinshi Xu, Huaqing Min

Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics, 2017

Affordance learning and inference based on vision-speech association in human-robot interactions.

Chang'an Yi, Huaqing Min, Jin-Hui Zhu, Xinshi Xu, Pengshuai Yin, Guofei Zheng

Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics, 2017

2016

Affordance Research in Developmental Robotics: A Survey.

Huaqing Min, Chang'an Yi, Ronghua Luo, Jin-Hui Zhu, Sheng Bi

IEEE Trans. Cogn. Dev. Syst., 2016

Goal-directed affordance prediction at the subtask level.

Huaqing Min, Chang'an Yi, Ronghua Luo, Jin-Hui Zhu

Ind. Robot, 2016

Affordance discovery based on intrinsic motivation in robots.

Chang'an Yi, Huaqing Min, Jin-Hui Zhu, Pengshuai Yin

Proceedings of the 2016 IEEE International Conference on Robotics and Biomimetics, 2016

2015

Affordance matching from the shared information in multi-robot.

Chang'an Yi, Huaqing Min, Ronghua Luo

Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics, 2015

2014

CogRSim: A Robotic Simulator Software.

Yao Shi, Chang'an Yi, Yuguang Yan, Deqin Wang, Guixin Guo, Junsheng Chen, Huaqing Min

Proceedings of the Intelligent Robotics and Applications - 7th International Conference, 2014

2012

A novel formalization for robot cognition based on Affordance model.

Chang'an Yi, Huaqing Min, Ronghua Luo, Zhi-Peng Zhong, Xiao-Wen Shen

Proceedings of the 2012 IEEE International Conference on Robotics and Biomimetics, 2012

An incremental learning algorithm for autonomous mental development of robots.

Chang'an Yi, Huaqing Min, Ronghua Luo, Xiao-Wen Shen, Zhi-Peng Zhong, Ming-Jie Liang

Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

Local Consistent Alignment for 3D modeling with an RGB-D camera.

Mingjie Liang, Huaqing Min, Ronghua Luo, Jin-Hui Zhu, Chang'an Yi

Proceedings of the 12th International Conference on Control Automation Robotics & Vision, 2012

2011

An Adaptive Component Model for Autonomous Mobile Robots.

Jin-Hui Zhu, Huaqing Min, Yingju Liang, Mingjie Liang, Chang'an Yi, Mei Zhang, Junping Li

Proceedings of the Next Wave in Robotics - 14th FIRA RoboWorld Congress, 2011